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About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!About Snorkel We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them - either by leveraging Snorkel Flow or developing custom approaches when needed. You will also help define Snorkel’s Applied AI tooling by translating repeatable real-world challenges into reusable solution recipes, workflows, best practices, and platform-level capabilities that become part of Snorkel Flow’s next generation of AI tooling. We move fast and are constantly prototyping and innovating new ways to deliver value to our customers. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research, and standardizing bespoke solutions into internal recipes and staying naturally curious about the infrastructure that underpin the Applied AI stack end-to-end. Main Responsibilities Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform. Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows. Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role. Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow. Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup. Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices. Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI. Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams. Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI. Annual travel up to 25%. Preferred Qualifications B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience. 3+ years of customer-facing experience in the design and implementation of AI/ML solutions. Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow). Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI). Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement. Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. Ability to work in a fast-paced environment and balance priorities across multiple projects at once. Compensation range for Tier 1 locations of San Francisco Bay Area $172K - $300K OTE. All offers also include equity in the form of employee stock options. Our compensation ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Locations Redwood City, CA - Hybrid; San Francisco, CA - Hybrid - US #LI-CG1Salary Range $172,000—$300,000 USDBe Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About AdaptiveNVIDIA and OpenAI’s only AI cybersecurity investment.Adaptive is a cybersecurity startup on a mission to stop AI-powered cyberattacks. In December 2025, the company announced an $81M Series B led by NVIDIA and Bain Capital Ventures, with participation from Capital One Ventures, Citi Ventures, and continued support from Andreessen Horowitz (a16z), the OpenAI Startup Fund, and Abstract Ventures. The round marked NVIDIA’s first AI cybersecurity investment.Adaptive was founded by Brian Long and Andrew Jones, repeat entrepreneurs who have built and scaled category-defining companies. Brian and Andrew previously co-founded Attentive, which grew to more than $500M in annual revenue and a $10B+ valuation, and TapCommerce, which was acquired by Twitter. Together, they bring deep experience building high-growth, product-led businesses at massive scale as Adaptive builds the security layer for the AI era.Trusted by leading banks, technology companies, and healthcare organizations, Adaptive protects teams from emerging threats like deepfakes, smishing, and AI-powered voice scams. With rapid enterprise adoption and a $200B+ market ahead, the company is just getting started.RoleWe are seeking a Staff ML Engineer to define and build Adaptive's ML capabilities. Adaptive is an AI cybersecurity company whose products use LLMs and ML models to detect, classify, and respond to threats in real time. ML is central to the future of our products, and we need someone who can own the strategy, infrastructure, and execution for how we use it.We don't have dedicated ML infrastructure or an ML team today. You'll be building this from the ground up. You'll set the technical direction for how we use ML across the company, stand up the infrastructure, and do the hands-on work yourself.ResponsibilitiesDefine Adaptive's ML strategy: where ML should be applied across our products, what infrastructure we need, and how we should approach build vs. buy decisions.Design and build production ML systems end-to-end — data pipelines, model training, evaluation frameworks, and inference serving.Establish evaluation methodology. Define how we measure model quality, catch regressions, and make data-driven decisions about model changes.Own the strategy for getting the data you need, in the format you need it — what/how to label, how to build feedback loops, and how our models improve over time.Partner with product engineers to integrate ML into the product. You will write production code and work within our existing codebase.Over time, help build and lead the ML team as scope grows.Qualifications8+ years of experience building ML systems in production, ideally with experience standing up the ML function at an early stage startup or as the senior or lead ML person at a previous company.Strong software engineering fundamentals. You write production-quality code in modern languages (Python, Java, TypeScript) and work within large codebases.Experience with cloud ML infrastructure (AWS SageMaker, Bedrock, Modal, Baseten, or similar).Experience with common ML and data processing frameworks (PyTorch, Tensorflow, Spark)Comfortable working across the stack — infrastructure, backend services, and data systems.Track record of mentoring MLEs and other engineers with observable, clear improvements in those you've worked with.High autonomy. You'll have support and context from leadership, but you're expected to define the path forward and drive it.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleThis is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy.The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago.This role can be remote within the US or hybrid from our San Francisco or New York City offices, reporting to the head of security engineering.🦸🏻‍♀️ What you'll doBuild security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the factOwn and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach productionPartner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by defaultDesign and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers..Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build productsLead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scaleDesign and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agentsStay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks⭐️ What you need2+ years of hands-on experience in application security engineering, with a proven track record of securing large-scale production systems—bonus points if you've worked in fast-growing startups or high-growth environmentsUnderstanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers.Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implicationsKnowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices—you know which tools to use and when automation beats manual reviewExcellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non-technical audiences—you can explain why something matters and motivate teams to actionA builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks—you understand that security enables the business, not blocks itAlignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end-to-end responsibility for the security of our platform)🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the roleThis is where security meets innovation at enterprise scale. As a security engineer, applications at WRITER, you'll be building the security foundations that protect the AI systems powering some of the world's most recognizable brands. You'll work at the intersection of application security, AI infrastructure, and developer enablement—partnering with engineering teams to embed security into every line of code while ensuring our platform remains both powerful and trustworthy.The opportunity is massive: you'll help define how enterprise AI applications are secured, from threat modeling our LLM architectures to building automated security controls that scale across our growing platform. This isn't about saying "no"—it's about finding creative ways to say "yes, and here's how we do it securely." You'll tackle challenges that most security engineers never encounter: securing AI agents, protecting training data pipelines, and designing controls for systems that didn't exist a few years ago.This role can be remote within the US or hybrid from our San Francisco or New York City offices, reporting to the head of security engineering.🦸🏻‍♀️ What you'll doBuild security into the DNA of our AI platform by conducting threat modeling sessions with product teams, designing secure architectures for new features, and ensuring security considerations shape product decisions from day one—not after the factOwn and evolve our application security program including establish and maintain SAST/DAST scanning in CI/CD pipelines, conducting security code reviews for critical changes, and building automation that catches vulnerabilities before they reach productionPartner with engineering teams to establish and champion secure coding standards, creating reusable security patterns and libraries that make it easier for developers to build securely by defaultDesign and recommend security features and products that help secure customer environments. You are the advocate and the vision for how we protect and secure customers..Integrate and leverage AI agents to help increase velocity for the security team and the overarching engineering org to ensure that we are proactive in minimizing risk while we build productsLead security assessments and penetration testing of WRITER's applications, AI services, and APIs, identifying vulnerabilities across our tech stack and working collaboratively with teams to remediate issues at scaleDesign and implement security controls for protecting data pipelines, model training environments, and customer-facing AI agentsStay ahead of emerging threats in the AI/ML security landscape, researching attack vectors specific to LLMs and generative AI, and proactively building defenses against novel risks⭐️ What you need2+ years of hands-on experience in application security engineering, with a proven track record of securing large-scale production systems—bonus points if you've worked in fast-growing startups or high-growth environmentsUnderstanding of developer experience and developer workflows for shipping features and products. You care deeply about reducing risk while considering velocity of engineers.Technical expertise in at least two programming languages (Python, Java, Go, JavaScript/TypeScript) and the ability to read and review code across multiple languages, understanding both business logic and security implicationsKnowledge of security tools and methodologies including SAST/DAST solutions, vulnerability management platforms, security testing frameworks, and DevSecOps practices—you know which tools to use and when automation beats manual reviewExcellent communication skills that allow you to translate complex security concepts into clear recommendations for both technical and non-technical audiences—you can explain why something matters and motivate teams to actionA builder's mindset that looks for opportunities to automate, scale, and empower rather than create bottlenecks—you understand that security enables the business, not blocks itAlignment with WRITER's values of Connect (building strong relationships across teams), Challenge (pushing the boundaries of what's possible in AI security), and Own (taking end-to-end responsibility for the security of our platform) 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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Who We're Looking For: The One Thing That MattersYou are the last line of defence between our code and patient care.TORTUS runs in hospitals, GP surgeries, ambulances, and across dozens of clinical environments — on iPads, in Epic, Cerner, Surgery Connect, EMIS, and multiple browsers. You'll own quality end-to-end: building the automated test infrastructure, running AI output evaluations, managing releases, and ensuring nothing ships that could break in any of those places. You'll be managing AI coding agents, building simulation suites for clinical AI outputs, and pioneering what quality engineering looks like when development is AI-accelerated.We’re looking for a technically strong QA engineer who is obsessed with AI tooling. You'll be building and maintaining automated test suites, but you'll also be running multiple coding agent instances, designing Playwright harnesses at scale, and creating entirely new kinds of tests — like evaluating whether our AI-generated clinical notes are correct. You'll also need to be comfortable rolling up your sleeves for hands-on manual and exploratory testing — complex clinical workflows across multiple deployment surfaces demand human judgement, not just automation. If you're the kind of person who sees AI agents as force multipliers rather than novelties, we want to talk to you.What Else Would Be Great2–5 years of experience in QA engineering, software testing, or SDET rolesHands-on experience with automated testing frameworks (Playwright, Jest, Vitest, or similar)Genuine enthusiasm for AI-assisted development — you're already using Claude Code, Cursor, Codex, or similar tools to ship fasterFamiliarity with CI/CD pipelines and integrating quality gates into automated workflowsUnderstanding of requirements traceability and how to maintain requirement to test case mappingExperience writing test plans, protocols, and verification reportsComfort testing across multiple platforms and environments (web, mobile, iPad, embedded in third-party systems)Exposure to compliance standards (IEC 62304, ISO 13485, ISO 14971) or Quality Management Systems is a strong plus — but not requiredStrong written communication — you'll be producing documentation that goes into our regulatory technical fileWhat You'll DoAutomated Testing & InfrastructureOwn and expand the end-to-end test suite using Playwright, Jest, and Vitest — covering unit, integration, system, and E2E testingBuild automated test harnesses for all deployment surfaces: web app, iPad, Epic, Cerner, Surgery Connect, EMIS, and multiple browsersDesign test cases covering functional requirements, edge cases, and failure modesIntegrate tests into CI pipelines to gate every PR with passing testsUse AI coding agents to accelerate test creation and maintenanceAI Output Evaluation & SimulationBuild end-to-end simulation suites for our clinical AI pipeline: upload known audio, verify transcripts, clinical codes, and guidelines are correctCreate smoke tests for AI outputsCollaborate with the ML team on AI evaluations — both deterministic tests and non-deterministic model output evaluationsDetect quality regressions when prompts, models, or pipelines changeRelease Management & QA GatingOwn the QA process for versioned releasesRun regression and manual exploratory testing across all supported environments before promoting to productionManage the release checklist — ensure nothing ships without verification on all target platformsTraceability & ComplianceMaintain the requirements traceability matrix, linking software requirements to test cases and resultsEnsure verification coverage with documented evidence for our regulatory technical fileSupport ISO 13485 audits and Class IIa certification with testing evidenceAutomate compliance workflows where possibleDefect ManagementLog, triage, and track defects with clear severity classificationWork with developers to reproduce issues, verify fixes, and close the loopEnsure no high-severity defects ship without resolution and re-testingWhat Does Wild Success Look Like?After 12–18 months, you've transformed how TORTUS ships software. The automated test suite covers all major deployment surfaces, and developers trust it to catch issues before they reach staging. You've built a simulation suite that catches AI regressions before they reach clinicians — we know within minutes if a release has broken clinical coding or note generation. The traceability matrix is immaculate, and auditors breeze through our verification evidence. Releases are versioned, documented, and predictable. You've reduced manual regression time by 70%+ through automation and AI-assisted test generation. The engineering team sees you as the person who makes it safe to move fast.Where Does This Role Take You?This is a foundational role in a fast-growing, safety-critical AI company. High performers will have opportunities to:Lead the QA function as the team scales, potentially growing into a QA Lead or Engineering Manager roleSpecialise in AI evaluation and clinical safety validation — a genuinely novel disciplineShape the intersection of AI-accelerated development and medical device complianceBuild out a quality engineering team as TORTUS grows internationallyOur StackGoogle Cloud Platform (GCP), Google Kubernetes Engine (GKE)Terraform, GitOps & ArgoCDPostgreSQL + RedisTypeScript across our stack (React, NestJS), Python/FastAPI for ML workloadsPlaywright for E2E testing, Jest/Vitest for unit and integration testsSelf-hosted ML models, MLflow for experiment trackingWhat We OfferCompetitive salary + equity9-day fortnight (every other Friday off)25 days holiday + bank holidaysMon & Fri WFH optional — office-first cultureLatest MacBook + the right equipment to make you at your bestThe chance to genuinely transform healthcareAbout TORTUSTORTUS was founded to address one of the most fundamental and persistent problems in healthcare: human error driven by cognitive overload and administrative burden. Modern clinicians are overwhelmed by documentation, compliance, and fragmented digital systems, leaving less time and attention for patient care.Our mission is to eliminate avoidable human error in medicine by augmenting clinicians with real-time, agentic AI. An AI co-pilot for every clinician.The core product is a real-time AI system that operates inside live patient consultations. It transcribes and structures conversations, surfaces relevant clinical context and guidelines, and executes downstream actions such as documentation, prescribing workflows, and follow-ups. Doctors and AI collaborate in real time, with the clinician always in control.Traction500,000+ paid consultations processed10x year-on-year growth60 NHS hospitals deployed60–80% daily adoption when rolled out25% time savings per clinicianRegulated medical device (Class I today, progressing to Class IIa)LocationWe are an office-first company based in the historic Holborn Town Hall. Where possible, we aim to be in the office at least 3 days a week (typically Tuesday, Wednesday and Thursday).

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We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable. We’ve created our vehicle specifically for dense, complicated urban environments. Zoox is the only driving vehicle on the market with bidirectional driving capabilities and four-wheel steering, allowing us to maneuver through compact spaces and change directions without the need to reverse. The future is for riders! Our growing software engineering leadership team is searching for a Senior Manager of Perception. Our perception stack is responsible for building Zoox’s world-class 3D environment model from multi-modal sensor data. We create novel AI architectures that combine the latest academic results with many in-house innovations in creative ways. Our algorithms are relentlessly optimized and tuned to run efficiently and effectively on a wide variety of real-life data as well as in simulation. You will be responsible for leading high-impact Perception teams with their technical roadmap and milestone goals. You will be closely collaborating with other AI and SW leaders, simulation, and our systems design and mission assurance teams to deliver an exceptional dynamic objects perception system encompassing modalities such as vision, lidar, radar and long-wave IR across pipelines such as segmentation, detection, classification, fusion and tracking. You will lead a diverse, experienced team with a rapidly growing scope and responsibility while also working on some of the most complex problems in artificial intelligence, perception, and sensor fusion. In this role, you will:Build and lead a group of managers and engineers, and be responsible for the team’s roadmap, productivity, execution and impact within the company.Set the vision for, grow, and lead a team of talented software engineers in the overall planning, execution, and success of complex technical projects, while providing the team with technical leadership.Collaborate with engineers and leaders across a variety of teams to brainstorm and accelerate the development of perception capabilities.Provide clear summaries, progress, and recommendations to our executive leadership team.Establishing best practices and statistical rigor around data-driven decision-making.Stay on top of industry and academic trends in AI and perception, making sure Zoox remains at the cutting edge of both algorithms and their implementation at scale.QualificationsStrong understanding of computer vision systems and AI software stacks.5+ years of extensive leadership experience, leading teams of 20+10+ years of experience in computer vision, machine learning and related technologies.Strong leadership skills suitable for recruiting, leading, growing, and managing technical team members in solving a challenging problem, and building a critical component of a real-time system.Recent experience in implementing vision & perception algorithms.Expertise in implementing autonomy solutions and deploying real-world systems.Experience with recent AI approaches including E2E models for perception, transformers and sparse networks.Experience with sensor fusion and uncertainty modeling across multiple modalities.Strong presentation and communication skills.MSc or PhD in Robotics, Computer Science or related fields.Bonus QualificationsFamiliarity with perception of autonomous vehicles or similar robotsHands-on experience having deployed real products or platforms into the real world, and intimately understanding the challenges of working with complex systemsInvolvement in validation or evaluation of risk and/or safety-critical systemsKnowledge of GPU and/or TPU programming (CUDA, TensorRT, etc.) 277,000 - 389,000 a yearBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started. Role OverviewAs a Engineering Manager, Product at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.This role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees.What You'll Do Own end-to-end delivery of core product initiatives, from technical design through execution and iteration, while directly managing a high-performing fullstack engineering team.Set technical direction for large-scale, AI-powered systems, including:Retrieval over petabyte-scale document collections.Product interfaces that enable organizations to collaborate with AI.Long-horizon (1000+ step) planning agents for mission-critical workflows.Government-grade security for highly sensitive data.Evaluation of LLMs across a 10k+ leaf taxonomy of tasks.Internet-scale data collection across 50+ jurisdictions.Translate product vision into architecture, making pragmatic tradeoffs that balance speed, quality, and long-term scalability in a fast-moving environment.Lead hands-on when it matters: contribute to design, code, and architecture reviews, and dive into implementation to unblock the team or tackle the hardest problems.Build and grow your team by hiring exceptional engineers, setting clear technical and behavioral standards, and investing in mentorship and career development.Partner deeply with Product, Design, and AI to identify high-leverage opportunities and ship highly intuitive, detail-oriented user experiences.Establish a strong engineering culture centered on simplicity, ownership, craftsmanship, and continuous improvement.Align execution with company goals, ensuring technical investments directly support product strategy and long-term impact.What You Have6+ years of experience as a product-focused fullstack or backend software engineer (post BS/MS), with a history of shipping real products to real users.2+ years of experience leading engineers, with clear ownership over both delivery and team health. Past management experience is a plus.A proven ability to design and operate backend platforms that support multiple product lines at scale.Strong experience with modern frontend frameworks (e.g. React) or backend systems (e.g. Python, Node, Go).Excellent technical judgment: you know when to move fast, when to invest, and when to simplify.A strong product instinct and attention to detail, with a track record of building intuitive, high-quality user experiences.Demonstrated success building, motivating, and retaining high-performing teams in high-growth environments.Solid computer science fundamentals and strong programming skills.Grit and ownership mindset — you’re comfortable operating in ambiguity and taking responsibility for outcomes.Bonus: experience with AI-powered applications, large-scale data systems, LLM evaluation, or complex internal platforms.What We OfferBe part of building something special as a founding member of our Toronto teamStructured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.#LI-KT1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the TeamThe Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.The Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.About the RoleProviding access to powerful AI models introduces a host of challenging questions when it comes to model safety: How do we define safe behavior for how a model should behave? To what end? How do we do this in such a way that is actionable, objective and sustains replicability?This is a senior role in which you’ll help shape policy creation and development at OpenAI and make an impact by helping ensure that our groundbreaking technologies do not create harm. The ideal candidate can identify and develop cohesive and thoughtful taxonomies of harm on high risk topics with a sense of urgency. They can balance internal and external input in making complex decisions, carefully think through trade-offs, and write principled, enforceable policies based on our values. Importantly, this role is embedded in our research teams and directly informs model training.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you’ll:Design model policies that govern safe model behavior in an objective and defensible way - e.g. how should the model respond in risky/unsafe scenarios? What does unsafe mean? How do we achieve safety while preserving beneficial model capabilities?You will develop taxonomies that inform data collection campaigns, model behaviour and monitoring strategies and also toe the line between maximizing utility and preventing catastrophic risk.Lead prioritization for safety efforts across the company for new model launches, understanding and addressing technical and business trade-offs.Develop a broad range of subject matter expertise while maintaining agility across topics.You will work across many internal teams which will require high organizational acumen and confident decision making.You might thrive in this role if you:Have extensive experience researching LLMs, ML, AI, tech policy, moral reasoning, and/or enjoy classification problems.Have extensive experience defining, refining and enforcing policies for ML models across training, evaluation, and deployment.Understand the practical challenges of translating policy into model behavior across the full training stack, and can incorporate these constraints into policy design.Can reason about the benefits and risks of open-ended problem spaces, generate novel approaches under ambiguity, and take full ownership of end-to-end solutions from concept through execution.Most relevant publications:Introducing HealthBenchPreparing for future AI capabilities in biologySafety evaluations hubOpenAI GPT5 System CardEvaluating Fairness in ChatGPTImproving Model Safety Behavior with Rule-Based RewardsOpenAI Model SpecAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About Resolve AISoftware maintenance and production troubleshooting have become a massive tax of engineering velocity. Resolve AI is solving this by building a transformative, truly autonomous AI Production Engineer that investigates and fixes complex system issues end-to-end.Our founders (Spiros Xanthos and Mayank Agarwal) are the core creators of OpenTelemetry and led Splunk Observability. They have had 2 successful exits to Splunk and VMware.We’ve raised over $150M from top-tier investors including Lightspeed, Greylock, Unusual Ventures, and individual backers such as Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), Matt Garman (CEO, AWS), Reid Hoffman (Founder, LinkedIn), and Fei-Fei Li (Professor, Stanford).The RoleWe're hiring AI Agent Engineers: people who combine strong engineering fundamentals, AI-native thinking, and a relentless focus on customer outcomes. You won't just ship features. You'll own the full arc from understanding a customer's problem in production to delivering a solution that measurably improves their experience. The best software engineers have always spent more time figuring out what to build than writing the code itself. With tools like Claude Code and Cursor accelerating code authorship at an unprecedented pace, that ratio is shifting even further, and we think that's a good thing.This isn't a rebrand of the traditional software engineering role. It's a recognition that the highest-leverage engineering work today lives at the intersection of deep technical execution, customer empathy, and rigorous evaluation of what's actually working.What You'll DoOwn customer outcomes end to end. Work directly with customers, design partners, and internal stakeholders to define technical scope, success criteria, and delivery milestones — then build and ship the solution yourself.Build product capabilities that matter. Design and implement features across the full stack, with a bias toward solving real problems observed in production environments rather than building in the abstract.Integrate deeply with customer environments. Work hands-on with cloud platforms, observability systems, CI/CD pipelines, and incident response workflows to ensure our product fits seamlessly into how teams actually operate.Diagnose and resolve complex issues. Troubleshoot hard problems across customer deployments, turning support interactions into product insights and durable fixes.Measure what matters. Build evaluations and feedback loops that quantify customer value in a data-driven way, ensuring new capabilities are genuinely moving the needle — not just shipping.Raise the engineering bar. Write clean, maintainable, well-tested code. Lead design discussions and code reviews. Help shape both the technical direction of the product and the engineering culture of the team.What We're Looking For4+ years of industry experience building production software, with a strong background in backend or distributed systemsStrong fundamentals in system design, data structures, and building reliable software in high concurrency environmentsExperience operating systems in production, including debugging failures, performance issues, and edge casesHands-on experience with cloud platforms (AWS preferred), Kubernetes, and modern infrastructure toolingFamiliarity with databases, messaging systems, and service-oriented architecturesInterest in AI-driven systems, with experience or curiosity around LLM-powered applications, reasoning systems, or autonomous workflowsA strong sense of ownership and comfort working in ambiguous problem spacesAbility to communicate clearly across technical and non-technical audiencesA builder's mindset. You enjoy shipping, iterating, and improving systems over timeWhy Join Resolve AI?Make a Real Impact: Join a mission-driven team tackling complex challenges that deliver meaningful outcomes for customers and revolutionize engineering operations.Shape Agentic AI’s Future: Help build the next frontier in enterprise software and define its transformative impact.Own Your Work: Take end-to-end responsibility in your role in a collaborative, high-trust environment.Accelerate Your Career: Grow alongside industry leaders in a fast-paced environment, gaining invaluable experience and opportunities to propel your career to new heights.Competitive Benefits: Competitive Pay Packages with full benefits including:Comprehensive Medical, Dental, and Vision InsuranceMonthly Housing StipendFlexible (Unlimited) Paid Time OffVisa Sponsorship & Immigration Support401(k) PlanParental LeaveDiscretionary Tech Benefit StipendDaily in-office Lunches and DinnersWe are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. 

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About UsAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional AI Engineer to join our agent team and help shape both our product.Why Join UsRocketship Growth: Post-PMF, with revenue growing at an exceptional pace.Elite Team: Team includes ex-Apple AI Research, 4 YC founders, and 6 ex-founders. Engineers have prior experience at Apple, Microsoft, Google, and Amazon.Massive Market Impact: Insurance is the backbone of global commerce - our work reshapes how this industry operates.Founder’s Mindset: Perfect fit if you want to own big pieces of the product and possibly start your own company in the future.What You’ll DoSet up end-to-end evals to measure & improve agent performance.Experiment with new agentic techniques (e.g. multi-agent systems, reasoning-from-feedback, RFT, etc)Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in productionStay on top of emerging research and blogs on LLM/AI agents and bring ideas into production experiments. What We’re Looking ForAmazing ability to speak with LLMs - Occam's razor in prompting Strong experience with Python 6+ years building in ML/AI.Clear communicator - both in person and in writing.Bonus: background in B2B SaaS and 0 - 1 experienceAbove all: drive, grit, and ownership. If you excel here, other requirements are secondaryNote that this is not a model-training role - you’ll be building orchestration and reasoning systems on top of existing LLMs (think Claude-Code over Claude-Model).At FurtherAI, we set a high bar. We’re not looking for someone who just wants a job. We’re looking for someone who wants to build something transformative. If you thrive in environments where the pace is fast, expectations are high, and the rewards are outsized, you’ll love it here.You can look forward to the following benefits:Fully covered, best-in-class health, dental, and vision benefitsCompetitive Compensation, meaningful stock options, company 401(k)Unlimited PTOOutstanding in-office culture in the heart of San FranciscoLunch and dinner onsiteTeam events, such as happy hours and off-sitesPre-tax Commuter benefits

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doBuild the Memory Layer for Enterprise AI Agents: Lead development of Agent Memory – the system that enables AI agents to remember and personalize interactions across conversations. Transform one-off exchanges into continuous relationships that drive measurable business outcomes at scale.Solve Complex Challenges: Balance competing stakeholder needs – end users expecting personalization, operations teams requiring compliance, and developers needing flexible integration patterns.Pioneer Memory Architecture: Define how AI agents should remember – from session continuity to long-term relationships. Tackle novel problems including intelligent consolidation, context retrieval, and privacy-preserving personalization.Collaborate: Partner with engineering on distributed systems, ML teams on retrieval and embedding technologies, and infrastructure teams on scalable storage solutions.Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.What you’ll bringProven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch.Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.Strong Values Alignment: Embodies our values and culture.Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace.Even Better...Experience designing for AI-driven products or conversational interfaces.Experience working on databases, retrieval systems, or personalization engines.Experience with Typescript, React, and other programming languages.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doBuild the Intelligence Layer for Enterprise AI Agents: Lead development of Agent Intelligence – the decisioning system that enables AI agents to take optimal actions based on business context, user intent, and predicted outcomes. Transform reactive support into proactive, value-driving interactions at scale.Solve Complex Challenges: Balance competing stakeholder needs – end users expecting helpful recommendations, operations teams requiring control and explainability, and developers needing flexible decisioning frameworks.Pioneer Agent Decisioning Architecture: Define how AI agents should decide what actions to take – from real-time next-best-action selection to long-term outcome optimization. Tackle novel problems including contextual decisioning, multi-objective optimization, and interpretable AI reasoning.Collaborate: Partner with engineering on decisioning systems, ML teams on predictive models and reinforcement learning, and data teams on analytics and experimentation frameworks.Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.What you’ll bringProven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch.Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.Strong Values Alignment: Embodies our values and culture.Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace.Even Better...Experience designing for AI-driven products or conversational interfaces.Experience working on recommendation systems, decisioning engines, or optimization platforms.Experience with machine learning operations, A/B testing, or experimentation platforms.Experience with Typescript, React, and other programming languages.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen.About the teamThe Faculty Frontier TM product is our ambitious vision to create the first enterprise-grade platform that unifies decision intelligence with AI Agents to optimise real-world outcomes of critical processes across large-scale organisations. You will work on highly complex and consequential problems across the real economy, with particular focus on healthcare and life sciences.About the roleJoin the Frontier team as a Senior Manager to help realise our vision of the first enterprise-grade decision intelligence platform. You will lead the delivery of AI-powered agents that optimise critical processes within global life sciences and healthcare. This is an entrepreneurial role for a strategic operator who can navigate complex technical landscapes, manage high-stakes enterprise accounts, and lead multidisciplinary teams to deliver real-world impact. You’ll be the bridge between our cutting-edge technology and the transformative outcomes our customers achieve.What you'll be doing:Leading transformational AI system implementations by scoping high-value solutions and navigating complex technical challenges alongside technical colleagues.Managing enterprise life sciences accounts, including oversight of pricing, contract negotiations, resourcing, and the identification of strategic growth opportunities.Building deep trust with senior stakeholders in global enterprises through a sophisticated understanding of how Frontier addresses their unique operational problems.Advocating for customer needs internally by providing the product development team with direct insights to refine and enhance the platform.Creating scalable delivery assets, such as playbooks and process improvements, to empower both external partners and internal teams.Collaborating across functions—including engineering, data science, and business development—to explore novel use cases and drive seamless project coordination.Who we're looking for:You bring extensive experience in technology consulting, product development, or a similar high-impact, customer-facing role.You have a proven track record of leading multidisciplinary teams to deliver technically complex projects, particularly those involving AI/ML technologies.You possess exceptional communication skills, with the ability to simplify complex technical concepts and foster trust with diverse stakeholders.You are an expert at managing senior customer relationships and influencing outcomes across multiple internal and external teams.You demonstrate a proactive and adaptable mindset, thriving in ambitious, fast-paced environments where you can find pragmatic paths through ambiguity.You are motivated by solving consequential problems and have the versatility to evolve your role as the Frontier product scales globally.Note: if you've got experience working in the Life Sciences sector that'd be awesome - this is a "nice to have though" and motivation to work in that space will more than suffice.Interview ProcessTalent Team Screen (30 mins)Hiring Manager Introduction (60 mins)Case Study Interview (90 mins)in-person Principles Interview (60 mins) #LI-PRIOOur Recruitment EthosWe aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.Some of our standout benefits:Unlimited Annual Leave PolicyPrivate healthcare and dentalEnhanced parental leaveFamily-Friendly Flexibility & Flexible workingSanctus CoachingHybrid Working (2 days in our Old Street office, London)If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please do apply or reach out to our Talent Acquisition team for a confidential chat - talent@faculty.ai Please know we are open to conversations about part-time roles or condensed hours.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As an AI Deployment Strategist / Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will primarily work with our customers in the financial services and insurance industries. You will gain hands-on experience coding in multiple languages (primarily Python, occasionally R, SQL, PySpark, JavaScript, etc.) and applying the latest big data technologies to real-world business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help our customers achieve success. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics, such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the manufacturing industry. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.About the TeamThe Research team develops the model and decision-making stack that powers Decagon’s conversational agents for enterprise support. We research, adapt, and implement state-of-the-art techniques in model training, prompting, orchestration, and evaluation in order to make our agents more accurate, robust, and efficient in real-world deployments.Our goal is to push the frontier of applied conversational AI: agents that reliably understand nuanced intent, track long context, and take the right actions under uncertainty. We measure success the way customers feel it: higher resolution rates, better user satisfaction, and consistent behavior at scale.About the RoleAs a Senior Research Engineer, you’ll be responsible for building industry-leading conversational AI models that power Decagon’s agent, and taking them all the way from idea to production. You’ll own multi-quarter initiatives that push the agent’s reliability, capability, and efficiency forward, and you’ll design and implement frontier approaches for training, evaluation, and orchestration across the system.We’re looking for strong engineers who want to build the core models and algorithms behind our AI agents. People here own their work end-to-end, ship real improvements, and are trusted to make high-impact technical decisions.In this role, you willLead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completionBuild and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experiencePartner with platform and product engineers to integrate new models into production systemsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this5+ years of experience in AI/ML engineering or research.Prior experience post-training and deploying LLMs in production environments.Fluency in Python and modern ML tooling (training, evaluation, data pipelines)Track record of taking research ideas from prototype → reliable, measurable production impactBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation£200K – £300K + Offers Equity

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.  About the Role As an Accounting Expert, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from corporate accounting domains, with a focus on financial reporting, consolidation, internal controls, and GAAP compliance where your expertise can drive significant improvements in model performance. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in corporate accounting. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects.   Support and ensure the delivery of high-quality curated data.   Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.   Interact with the technical staff to help improve the design of efficient annotation tools.   Choose problems from corporate accounting fields that align with your expertise, providing rigorous solutions and model critiques where you can confidently provide detailed solutions and evaluate model responses.   Regularly interpret, analyze, and execute tasks based on given instructions.   Key Qualifications Must have 3+ years of Big 4 public accounting experience (audit/assurance) on corporate or SEC clients, or an equivalent senior corporate accounting role (e.g., Controller, Assistant Controller, or Technical Accounting Manager at a public company or large private enterprise with complex GAAP reporting).   Must possess a Master's or PhD in Accounting (corporate focus) or equivalent as a licensed CPA.   Proficiency in reading and writing, both in informal and professional English.   Strong ability to navigate various corporate accounting information resources, databases, and online resources (e.g., FASB codification, SEC EDGAR, 10-K/10-Q filings, ERP systems).   Outstanding communication, interpersonal, analytical, and organizational capabilities.   Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.   Strong passion for and commitment to technological advancements and innovation in corporate accounting.  Preferred Qualifications 5+ years at a Big 4 firm or in a senior corporate controllership role, with direct involvement in SEC reporting, SOX 404, or complex consolidations.   Experience drafting or reviewing 10-K/10-Q footnotes, MD&A, or technical accounting memos.   Possesses experience with at least one publication in a reputable accounting journal or outlet.   Teaching experience as a professor   Location & Other Expectations This position is based in Palo Alto, CA, or fully remote.   The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.   If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.   We are unable to provide visa sponsorship.   Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.   For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.   Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewAs a senior member of our founding Forward Deployed Engineer (FDE) team, you’ll embed with Harvey’s enterprise customers (Am Law firms, in-house teams at large enterprises, and other professional services organizations) to turn cutting‑edge AI systems into production‑grade workflows that deliver measurable outcomes fast. You’ll move from prototype to deployment quickly, surface patterns from the field, and feed them back into Harvey’s platform and product roadmap. You’ll start from open‑ended, high‑leverage problems, design and implement end‑to‑end solutions with real users and data, and ship to production under tight feedback loops.This role is based in New York, NY. We use an in-person work model and offer relocation assistance to new employees..What You'll DoEmbed with customers to map out workflows, de‑risk constraints, and define crisp success metrics for custom builds.Design → prototype → productionize custom workflows: customize knowledge sources and retrieval pipelines, tool use/agents, prompts, and guardrails; then harden them for reliability, observability, and scale.Integrate workflows with clients systems (DMS, KM, ticketing, identity/SSO) and data sources; standing up secure connectors to the rest of the Harvey platform.Build and maintain evals & harnesses that capture real‑world quality on a client-by-client basis, wiring those signals into iteration loops and model choices.Operationalize adoption: run training, write crisp runbooks, and hand-off durable playbooks to customer champions—and to Harvey product/eng—so wins scale beyond one account.Surface field patterns (recurring prompts, tools, workflows, failure modes) that inform platform capabilities and future product bets.How you will make a 10x ImpactHigh Beta: You understand that volatility is the normal course of action, and you embrace it. You assume failure is the most likely outcome, so you fail fast and learn. You are transparent about failure, and you actively try to kill your own ideas by tackling the hardest problems first. You don’t subscribe to sunk costs.Unreasonable hospitality: You practice unreasonable hospitality, grounding your technical work in a deep obsession with the customer. You will spend as much time understanding the "why" from users as you do building the "what," ensuring our bets are aimed at solving real, meaningful problems.Action, action, and still more action: You live by a relentless bias for action. You believe progress is measured by what you build and learn, not what you discuss in meetings. You prioritize shipping and getting real-world feedback over perfecting a plan on paper.Contrarian, with common sense: You constantly think about what’s missing, not what’s working well today. You feel uncomfortable when an idea becomes consensus. But you match ambitious ideas with pragmatic execution. You find the most straightforward path to de-risk a complex concept, focusing on proving value quickly rather than over-engineering a solution.What You Have5+ years building and operating production software with meaningful 0→1 ownership and the ability to operate under ambiguity.Experience building LLM‑powered applications (retrieval, tools/agents, structured outputs, prompt/runtime safety) and taking them to production.Comfort working directly with customers—from scoping ambiguous problems to shipping, integrating, training, and iterating on adoption.Practical experience with evals (designing task suites, pipelines, and dashboards that reflect user quality); you use evals to drive model/product decisions.Clear, concise communication; low‑ego collaboration; appetite for in‑person pairing with teammates and customers in NYC.Compensation Range$200,000-$260,000 USD#LI-SB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai