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Who are weHeidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The TeamJoin the team building the worlds best AI Scribe—helping clinicians focus on patients, not paperwork. You'll work on audio transcription, automated note generation, and clinical workflow automation for doctors, nurses, and healthcare professionals from all walks of life. We are a close knit team that leaves things better than they found them, and we tackle complex technical challenges around ambient workflows while shipping features that save clinicians hours every day.The RoleWorking closely with our Engineering Manager for Transcription and Note Generation, you'll be a Senior Software Engineer who will be at the forefront of developing AI-powered solutions that transform clinical conversations into structured medical documentation, helping clinicians focus more on patient care and less on administrative tasks.You excel in complex situations, and you appreciate the dynamics of a flexible, flat-structured work environment. You are adept at understanding the nuances and complexities of developing AI solutions for healthcare internationally.What you'll do: As a key member of our team, you'll help revolutionize healthcare as you:Design and develop robust, scalable systems for processing and examining clinical conversations in real-time.Collaborate with our AI/ML team to integrate and optimize medical speech transcription, and accurate, helpful note generationDesign, build and maintain APIs and services that power our transcription and note generation capabilities.Implement systems that ensure high accuracy and reliability in medical documentation generation.Work on performance optimization to deliver real-time results in clinical settings.Contribute to Heidi's overall architecture and help set best practices for scalable and maintainable systems.What we’ll look for: Strong sense of ownership & strong problem-solving skills.5+ years of backend development experience.Solid experience with MongoDB and Redis for data management.Experience building & managing  message queue systems at scale.Writing testable, effective and communicative codeData modeling, design patterns, understanding trade-offsDeep understanding of API design principles, including security, versioning, and performance.Data & application security knowledge and skillsExperience in integrating with third-party systemsCompetent with source code control and CI/CD pipeline technologies.Architecting and building highly available, scalable, secure & performant systemsWhat do we believe in? Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you’ll flourish working with us 🚀?Flexible work with 3 days a week in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness for Melbourne, Sydney tbcA generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startups If you have an impact quickly, the opportunity to fast track your startup career!Attitude is more important than experience so if you are a hungry, competitive and highly motivated operator who has a knack for problem solving and building relationships, we want to hear from you.The way we work1. Build to LastWe design for safety and reliability so clinicians, patients, and our teams can trust what we build every day.2. Own Your PracticeIdeas rise on merit, not title, and everyone shares responsibility for the standards we set together.3. Move Fast, Stay SteadyWe move quickly but never at the cost of trust. Progress only matters if people can depend on what we make.4. Make Others BetterHonest feedback, steady support, and shared growth keep our teams improving together.Why you will flourish with usFlexible hybrid working environment, with 3 days in the office.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.Heidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and welcome all applicants as we're committed to promoting a culture of opportunity for all.

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you.com is an AI-powered search and productivity platform designed to empower users with personalized, efficient, and trustworthy search experiences. As a cutting-edge technology company, we combine advanced AI models with user-first principles to deliver tools that enhance discovery, creativity, and productivity. At you.com, we are on a mission to create the most helpful search engine in the world—one that prioritizes transparency, privacy, and user control. We’re building a team of innovators, problem-solvers, and visionaries who are passionate about shaping the future of AI and technology. At you.com, you’ll have the opportunity to work on impactful projects, collaborate with some of the brightest minds in the industry, and grow your career in an environment that values creativity, diversity, and curiosity. If you’re ready to make a difference and help us revolutionize the way people search and work, we’d love to have you join us!  About the Role AI is transforming how enterprises sell, support, and operate — surfacing hidden knowledge, automating workflows, and collapsing weeks of effort into minutes. As an AI Engineer, Enterprise Solutions, you’ll act like a startup CTO, turning this vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for our customers. You will get a front seat to AI applications in the economy along with defining and shaping the future.   Responsibilities  Build and Ship: Design and develop AI applications primarily in Python. Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters. Work with Customers: Lead discovery sessions, guide pilot projects, and ensure successful deployments. Collaborate mostly remotely with occasional on-site workshops. Run and Improve: Monitor system performance and reliability. Add to the logging, billing and auth services. Build internal tooling to automate repetitive tasks. Share What You Learn: Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform.   Qualifications Required: 2+ years of experience writing solid production-quality software. Hands-on experience with LLMs and a solid understanding of machine learning fundamentals. Strong customer empathy: ability to listen, ask insightful questions, and translate real-world pain points into intuitive technical designs. Product-minded approach: focus on outcomes, comfortable shaping scope with product managers, defining success metrics, and making trade-offs to accelerate learning. Excellent communication skills, able to engage effectively with executives and engineers both remotely and on-site. Versatile problem-solver who thrives in ambiguous environments and enjoys rapid learning. Nice to Have: Experience in forward-deployed or product-oriented roles. Exposure to regulated industries such as healthcare or finance. Proficiency with Terraform or Pulumi and experience across multiple cloud platforms. Experience integrating with ERP, CRM, or other large enterprise systems. Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.Salary Band$165,000—$200,000 USDCompany Perks: Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge* A competitive health insurance plan covers 100% of the policyholder and 75% for dependents* 12 weeks of paid parental leave in the US* 401k program, 3% match - vested immediately!* $500 work-from-home stipend to be used up to a year of your start date* $1,200 per year Health & Wellness Allowance to support your personal goals* The chance to collaborate with a team at the forefront of AI research *Certain perks and benefits are limited to full-time employees only   You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

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About DustWe're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.We're at an exciting stage of our journey—and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to x6 our growth by the end of 2025.Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.SummaryAs a Forward Deployed Engineer at Dust, your primary role will be to build for users and accelerate their adoption of AI. This is a high-impact role that combines software engineering with solutions engineering and product development. You'll have a critical impact by equipping customers with the engineering resources, product creativity, and support they need to get the most value out of Dust. The best candidates are technical engineers with an entrepreneurial and customer-obsessed mindset.While you will not be coding 100% of your time, you will frequently be writing production code and contributing directly to the Dust codebase. Expect to spend time as a hands-on software engineer alongside customer-facing responsibilities.Our cultureProduct-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs. Think “No GPUs before PMF”.Small, High-Impact Team: Join a team of alumni from Stripe, Front, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every engineer has massive scope and impact.Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly.Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.Ship to Learn: We move fast and learn from real user feedback.Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.What You'll DoBuild Technical Solutions & Drive Customer OutcomesWrite production-quality code to build custom integrations, APIs, and tooling for enterprise customers when off-the-shelf solutions aren't sufficientContribute features and improvements directly to the Dust platform based on customer requirements and field insightsBe the Voice of Our Users & Serve as a Critical EnablerAct as a key cross-functional partner by collaborating with Sales to help onboard customers, and with Customer Success to drive account strategy and ensure users maximize the value of DustHelp set our product roadmap by surfacing feedback and key insights from our customers, partnering with Design and Engineering to craft delightful experiencesOwn End-to-End DeliveryLead demo calls, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams) with strong technical acumen and high emotional intelligence (EQ)Be a trusted advisor to our most strategic customers, helping them set up their Dust workspace, data connections, AI assistants, and workflowsIdentify and highlight successful use cases for Dust. Craft content that sets users up for success, enabling them to maximize the value Dust for their teamsLead workshops and training sessions to demonstrate advanced featuresFacilitate customer access to advanced use-cases through Dust's Developer platform and APIRequirementsMeaningful experience in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer)An action-oriented and organised self-starter mindset who isn't afraid to get scrappy to solve customer issuesA strong work ethic and commitment to excellenceA deep interest in understanding customer needs and the desire to become an expert on Dust's productEffective multitasking and prioritisation skills under pressure and in ambiguous situations across a wide variety of tasksDemonstrated ability to work collaboratively with cross-functional teams to achieve shared goalsA data-driven mindset that can interpret customer feedback and behaviourA passion for technology, problem-solving, and a commitment to your customers' successHigh technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirableDust Engineering Salary Grid Regarding compensation culture, we're going to lean towards Netflix's early philosophy: we are happy to review levels and compensation as early and as often as it makes sense to do so, not when the calendar says so. Regarding expectations associated with levels, we're including a very broad definition of each level below. When attributing a level at hiring, the expectation is for you to perform comfortably at this level within your first year. We'll set up catch-up times throughout that first year to keep track of your progress and communicate clearly whether you're matching these expectations. - Level I: Limited prior experience, learning the ropes - Level II: Level I + Autonomy - Level III: Level II + Rigorous dependability - Level IV: Level III + Excellence - Level V: Level IV + Leadership - Level VI: Level V + Impact on company trajectory*We can go higher for outstanding profiles.LocationWe're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, valuing the magic that happens when talented people work closely together.Why DustWe're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, we'd love to talk.👋 Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.___Learn how we think and work.Our product constitution a story about our missionAgents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024

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About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleAt Sesame, we are building the next generation of voice-based personal agents. We are seeking a Technical Program Manager to bridge the gap between LLM research and a polished, user-ready product. In this role, you will drive the development lifecycle, ensuring novel capabilities are delivered on schedule and rigorously measured against real-world performance. You will also be responsible for the "quality loop": transforming qualitative user feedback into technical evaluation datasets and ensuring our models evolve based on measurable data.Responsibilities:Project Orchestration: Manage the end-to-end lifecycle of LLM projects, navigating the transition from research milestones to production-level deployments.Metric Definition & Design: Transform subjective user feedback into objective metrics and datasets.Eval Implementation: Design and implement technical evaluations to address issues found in the field. You will be expected to dive into the codebase to help integrate these evals into existing pipelines.Feedback Loop Management: Track internal and external feedback, ensuring identified issues are followed through to resolution in subsequent iterations.Release Management: Maintain the technical roadmap for voice-based capabilities, proactively identifying dependencies and resolving technical blockers across teams.Cross-Functional Alignment: You will ensure the roadmap incorporates the specialized work and constraints of all teams—not just ML—to deliver a cohesive user experience.Required Qualifications:Academic Background: BS or MS in Computer Science, Electrical Engineering, or a related technical discipline.TPM Experience: 3+ years of experience managing LLM research or AI/ML product cycles.LLM Foundations: A solid technical understanding of LLMs (training, prompting, inference, quality) and the unique constraints of voice-based interfaces.Programming Skills: Proficiency in Python with the ability to independently write and implement evaluation logic and data-handling scripts.Communication: Proven ability to coordinate and align with stakeholders across different functions, managing complex dependencies with great technical depth.Preferred qualifications:AI Voice Experience: Prior experience with LLM-based voice products and modern generative speech technologies.Automated Testing: Experience integrating model evaluation workflows into automated testing and deployment pipelines.System Logic: Familiarity with the architectural challenges of deploying low-latency, conversational AI agents.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers.

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleWe're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up.This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment andto monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable.What you'll do:Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systemsArchitect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflowsImplement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarksPartner with ML engineers to translate research models into production-ready systems and integrate them across our product suiteDrive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.Requirements6+ years of backend software engineering experience building production systems at scaleStrong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks)Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelinesObservability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systemsTrack record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in productionBonus:Trust & Safety, Content Moderation, or Integrity engineering experienceMLOps experience: deployment, monitoring, and versioning of ML modelsExperience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architecturesFamiliarity with React or modern frontend frameworksLocationThis role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.#LI-remote

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About ElevenLabsElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.How we workHigh-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.Excellence everywhere: Everything we do should match the quality of our AI models.Global team: We prioritize your talent, not your location.What we offerInnovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.About the roleWe're looking for someone to join our Safety team and own key outcomes across policy, automation, and enterprise guardrails. You'll design integrity policies aligned with global regulations, and shape how enterprises implement guardrails when building on our APIs.You'll work within an established Safety organization, partnering with Safety Engineers, operations, and investigations while taking full ownership of your verticals. This means driving policy decisions end-to-end, architecting automation that multiplies the team's impact, and defining the safety frameworks our enterprise customers rely on.We're looking for a generalist who thrives owning outcomes, not someone who only knows one slice of Trust & Safety. You should be comfortable with ambiguity, fluent in the regulatory landscape, and excited to use AI to make safety operations faster, broader, and more robust.What you'll do:Design and evolve safety policies for audio AI, image/video AI and agentic safety. Aligned with ISO42001, EU AI Act, DSA, US state laws, and global regulatory developmentsBuild scalable, AI-powered systems and workflows that dramatically reduce response times and increase policy coveragePartner with Safety Engineers to translate policy requirements into automated detection, moderation, and enforcement systemsDrive cross-functional safety integration with product, engineering, legal, and operations teams, ensuring safety is embedded into the development lifecycle, not bolted on afterRespond to safety policy escalations: partner closely with moderation and investigations teams to triage, investigate, and resolve complex incidents, ensuring decisive and transparent action when user or platform integrity is at riskRequirementsBroad experience across Trust & Safety: policy, operations, investigations, and content moderation, not just one specialtyTrack record of owning and delivering safety outcomes end-to-end, ideally in fast-moving, engineering-first environmentsDeep familiarity with the global AI regulatory landscape: EU AI Act, DSA, US state laws, and emerging frameworksTechnically conversant: comfortable with dashboards, SQL, and ML concepts, able to collaborate deeply with engineers, able to read automation in python.Strong risk calibration: you know when to move fast, when to pause, and how to balance user safety with product velocityExceptional communicator who can translate complex safety considerations for engineers, product managers, executives, and external stakeholdersBonus:Audio or voice-specific Trust & Safety experience (voice cloning, synthetic media, audio deepfakes)Experience in engineering-first organizations where safety shipped alongside productBackground designing safety frameworks for enterprise customers or API platformsFamiliarity with AI/ML pipelines and how to build guardrails into model deploymentLocationThis role is remote and can be executed globally. However, to facilitate working with the Safety team, we prefer candidates based in GMT to GMT+3 or UK. If you prefer, you can work from our offices in Dublin or London.

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About GrowthX AIAt GrowthX, we’re building the modern growth engine for marketing teams. Since launching in 2024, we've grown from concept to eight-figure annual revenue. To date, we've raised a $12M Series A led by Madrona Venture Group and we partner with 60+ companies ranging from high-growth startups to industry leaders like Lovable, Webflow, Ramp, Superhuman, Strapi, Abnormal Security, and Augment Code.We’ve built something different: an operating system that unifies powerful AI workflows with forward-deployed experts to transform content into compounding organic growth. We’re building the growth infrastructure marketing teams wish they’d always had — the system that reliably turns context into strategy, strategy into execution, and execution into measurable growth.The RoleAs a Client Operations Engineer, you'll design and build custom solutions that range from AI-powered workflows to full-stack applications—leveraging your unique blend of technical SEO & Marketing expertise and technical skills. While you will occasionally interface directly with clients, you'll also work closely with our internal teams who do, translating client requirements into elegant technical solutions that drive measurable growth. Your work will span the entire development lifecycle—from conceptualization and architecture to implementation, testing, and deployment.Beyond client projects, you'll contribute to our internal ecosystem by developing tools for our marketing team and creating micro-applications on top of our AI stack. Given your background in bridging marketing and engineering, you'll find this blend of external and internal development particularly aligned with your experience.The Ideal CandidateBeyond meeting the technical requirements, the ideal Client Operations Engineer is someone who gets energized by variety and problem-solving. You should be comfortable wearing multiple hats—from frontend developer to AI workflow engineer and Vibe Coder. Your experience in technical SEO or growth marketing has likely taught you to think systematically about complex problems, optimize for measurable outcomes, and work at the intersection of technical implementation and business growth.If you're excited about applying your growth expertise across diverse projects, continuing to harness the power of AI, and contributing to both client success and internal innovation, we'd love to talk with you about joining GrowthX.Your Day-to-DayNo two days will look exactly alike in this position. One week you might be updating our website and micro-apps, the next you could be deep in development of a client-specific application that spans several months. You might spend a day configuring LLMs to power a new AI workflow, then pivot to building an internal tool that streamlines our operations—similar to the custom tools and applications you've built for SEO and growth optimization.Technical ExpectationsWe're looking for engineers (5+ years of experience) with comprehensive technical expertise. Your technical toolkit should include:A background in SEO/AEO, Growth Engineering, Markeing roles, or creating custom growth toolsAdvanced JavaScript proficiency with React/TypeScript experienceA bBackground in SEO/AEO, growth engineering, Mmarketing roles, OR, or creating custom growth toolsExperience prompt engineering or vibe codingComfortable integrating with and configuring LLMs and AI systemsStrong understanding of API design and integration patternsNice to Have:Experience building Gen AI/LLM-based productsBackend development experience (Ruby on Rails preferred, but Python or Node also welcomed)Experience in testing and Quality AssuranceBeyond the Technical:Technical skills form the foundation, but success in this role requires more. Ideal candidates:Strong Understanding of content, growth, and automationCan translate complex technical concepts into clear solutions for cross-functional teamsAbility to QA non-deterministic outputs and adjust prompts as neededTake ownership of their work with minimal oversightThrive under shifting priorities and occasional tight deadlinesCollaborate effectively with marketing, product, and technical teamsAdapt quickly to new technologies and changing requirementsWork EnvironmentThis is a fully remote position with flexible scheduling, though we require at least 4 hours of overlap with US Pacific Time for synchronous collaboration. We've built an AI-native culture that encourages leveraging cutting-edge tools to maximize productivity and creativity—an approach that aligns with your philosophy of using code, AI, and custom tools to unlock growth at scale.We operate with a results-oriented mindset—while we maintain core collaborative hours, we trust our team members to manage their time effectively and deliver high-quality work. You'll be joining a team that values transparent communication, constructive feedback, and continuous learning.Perks:🌍 Fully Remote WorkWork from anywhere—your productivity, your space!We do require an overlap with 8am to 12pm PTWe help set up your work environment to enable your best work.Minimal meetings and async communication for deep focus🏖 Ample Time OffEnablement for you to recognize your countries holidaysWe encourage you to take the time you need to recharge!📚 Professional GrowthWe’re an AI forward culture and work environment - Learn all things AI!Access to training, workshops & mentorship programsSupport for external conferences & industry events🤝 Collaborative CultureOpen communication & feedback-driven environment.Clear, concise communication is key to our success.Work Visa: Applicants must have legal authorization to work in the country of residence. We are not able to provide employment visa sponsorship at this time.#LI-Remote

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About Anyscale:At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. Anyscale is looking for a Sr/Staff AI Engineer to be a technical advocate for Ray within the ML and AI community. You’ll spend your time building real AI systems with Ray, writing code and demos, and sharing your experience through blogs, talks, videos, and open technical discussions. ​​You will be responsible for driving Ray adoption. The role focuses on educating, inspiring, and motivating engineers on the value of Ray to power their AI workloads. The role centers on technical content and evangelism that demonstrates an understanding of the requirements for AI workloads, the challenges and implications of not using Ray, and the technical value and differentiation of Ray.This is NOT a marketing role. We're looking for someone who has built ML systems in production, understands the pain of distributed training and inference at scale, and can credibly teach others how to solve these problems with Ray.You'll work at the intersection of distributed systems and modern AI, from scaling LLM training and fine-tuning, to building production RAG pipelines, to orchestrating agentic AI systems.What You'll DoEngage the Community: Present at conferences, participate in the open-source community, speak at first-party and third-party in-person and virtual events, build relationships with relevant community organizers in region, and engage with ML practitioners on GitHub, Discord, and social platformsLearn, Build & Share: Create production-quality demos, sample applications, and reference architectures that showcase Ray's capabilities across different AI workloads.Be a Subject Matter Expert: Develop deep expertise in one or more of Ray's core workload areas, distributed training, LLM serving, and agentic AI, becoming a trusted technical authority both internally and in the broader ML community.Teach & Educate: Develop technical content (blogs, tutorials, workshops, videos) that helps ML engineers understand how to scale their workloadsShape the Product: Bring real-world feedback from the community back to engineering and product teams; contribute to Ray's open-source libraries where appropriateResearch & Experiment: Stay current with ML/AI research and translate emerging techniques into practical, scalable implementations on RayYou're an ML Engineer or AI Researcher who:Lives in a major AI hub in EMEA (like London)Has 4+ years of hands-on experience building ML/AI systems (training, fine-tuning, inference, RAG, agents)Has practical experience building end-to-end ML pipelines or deploying models to production using ML platforms (e.g., OSS Ray, Amazon SageMaker, Vertex AI, Azure ML, Databricks, or similar)Has some experience with technical writing, teaching, conference speaking, or open-source contributionsCan write production-quality Python code and work fluently with PyTorch, HuggingFace, or similar frameworksIs genuinely excited about helping others learn and succeedEnjoys traveling and speaking publiclyMay not have formal DevRel experience, but has demonstrated teaching/sharing through at least one of the following:Open-source contributions with good documentationTechnical blog posts or tutorialsConference talks, meetup presentations, or workshop facilitationResearch papers or technical reportsActive engagement in ML communities (GitHub, Discord, Reddit, Twitter/X)Preferred qualifications:Strong Python programming and software engineering fundamentalsDeep hands-on experience with at least one ML framework (PyTorch, TensorFlow, JAX, scikit-learn)Solid understanding of ML fundamentals: model architectures, training loops, loss functions, optimization, evaluation metrics, etc.Experience with the ML development lifecycle: data preprocessing, feature engineering, model training, hyperparameter tuning, model evaluationFamiliarity with LLM concepts: fine-tuning (LoRA, QLoRA, full fine-tuning), RLHF, tokenization, MoE, etc.Nice to Have:Understanding of distributed systems concepts (parallelism, fault tolerance, resource management)Prior experience with Ray or similar distributed computing frameworksExperience with agentic AI systems and multi-agent orchestrationGPU programming knowledge (CUDA, optimization techniques)Understanding of inference optimization: quantization, batching, KV caching, speculative decodingPublished research or significant open-source contributionsExisting presence in the ML/AI community (research or industry)Experience with cloud platforms (AWS, GCP, or Azure) Location & Eligibility This role is based in London, UK, with a hybrid work arrangementCandidates must be eligible to work in the UKRegular travel across EMEA is expected CompensationAt Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As market data evolves, the target salary range for this role may be adjusted accordingly.Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by law.

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Who we are:Horizon3.ai is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by IT Ops/SecOps teams, consulting pentesters, and MSSPs and MSPs.We are a fusion of former U.S. Special Operations cyber operators, startup engineers & operators, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools and false positives, resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn-it-alls, committed to a culture of respect, collaboration, ownership, and results.As a remote first company, we require minimum 25Mbps consumer grade broadband connection.SkillBridge Program OverviewThe DoD SkillBridge Program provides transitioning service members the opportunity to gain hands-on civilian work experience during their final months of military service, while continuing to receive military pay and benefits. Participants may spend up to 180 days (programs typically run up to 120 days at Horizon3.ai) in full-time training with an approved industry partner.Horizon3.ai is an authorized DoD SkillBridge partner and has invested in this program since our earliest days. One of our first SkillBridge participants joined us in 2020, when the company was still in its infancy. Today, SkillBridge is a core part of how we support transitioning service members and build the next generation of cybersecurity talent.What You’ll Do (Attack Engineering Track)SkillBridge participants at Horizon3.ai work directly alongside our Attack Engineering and Vulnerability Research teams on real-world offensive security problems — not simulated exercises.This program is hands-on, operator-driven, and designed to help you build experience in the same technical areas as our full-time Attack Engineers.During the program, you may:Onboard into Horizon3.ai’s offensive engineering environment and workflowsDevelop software primarily in Python, focused on offensive automationContribute to the development of attack modules that emulate real adversary behaviorAssist with vulnerability research, exploit validation, and proof-of-concept developmentLearn how tradecraft is translated into safe, scalable autonomous pentesting capabilitiesGain exposure to attacking modern enterprise environments, including Active Directory, cloud, and hybrid networksCollaborate with senior offensive security leaders and engineers — many of whom are veterans themselves Participants receive ongoing mentorship, feedback, and support throughout the program.What We’re Looking ForThis program is a strong fit for transitioning service members who:Are within their final months of active-duty service and approved for SkillBridgeHave a strong interest in offensive security, red teaming, penetration testing, or vulnerability researchBring a mission-driven mindset, ownership mentality, and bias for actionHave foundational technical skills in areas like scripting, networking, cyber operations, or exploit developmentAre eager to learn, collaborate, and contribute to real-world attack engineering challenges You do not need prior commercial software experience to be successful - curiosity, discipline, and adaptability matter most.How to ApplyHorizon3.ai is an approved SkillBridge organization. If you are a transitioning service member interested in participating in our Attack Engineering-focused SkillBridge program, please submit your resume for review. We’ll follow up to determine fit and next steps.

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions. About you: 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach. Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences. Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos. Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions. Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences. Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code. Good to have: Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders. Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost. Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption. Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions. About you: 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach. Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences. Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos. Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions. Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences. Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code. Good to have: Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders. Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost. Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption. Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions. About you: 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach. Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences. Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos. Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions. Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences. Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code. Good to have: Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders. Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost. Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption. Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise. You will: Partner with executive sponsors and end users to identify high‑impact use cases and turn them into measurable business outcomes on Glean. Lead strategic reviews and advise customers on their AI roadmap, ensuring they get the most value from Glean’s platform. Translate business needs into clear problem statements, success metrics, and practical AI solutions; collaborate with Product and R&D to shape priorities. Conduct discovery workshops, scope pilots, and guide rollouts, driving breadth and depth of adoption of the Glean platform. Design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. Proactively identify expansion opportunities and drive engagement across teams and functions. About you: 5+ years of professional experience in roles that blend business and technology (e.g., product, analytics, data, engineering, solutions), with a consultative, customer‑facing approach. Strong problem‑solving and communication skills; comfortable working with stakeholders from ICs to executives and tailoring messages to different audiences. Demonstrated ability to craft effective prompts and guide AI agents for real customer or business workflows; you’ve shipped outcomes, not just demos. Understanding of what current LLMs can and cannot do; able to set expectations and steer towards reliable, safe, cost‑effective solutions. Product sense and user empathy—you can spot high‑value applications of AI across diverse job functions and design clear, guided experiences. Hands‑on experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere or similar), with enough technical depth to work with engineers without needing to be on the critical path for writing production code. Good to have: Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders. Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost. Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption. Location: This role is remote in the U.S. Compensation & Benefits: The standard OTE range for this position is $130,000-$200,000 annually. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #LI-Remote 

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.The Opportunity Join Arize AI's Engineering team working on OpenInference – the industry-leading open-source standard for AI observability, LLM and agent instrumentation. You'll be at the forefront of defining how organizations instrument, trace, and observe their AI applications across the entire ecosystem, shaping the future of AI development worldwide. This role puts you at the epicenter of the AI landscape, working directly on the OpenInference repository that powers AI observability for thousands of developers worldwide. You'll synthesize requirements from both the vibrant open-source community and real-world enterprise deployments, translating these diverse needs into practical instrumentation capabilities that drive the future of AI innovation. This is NOT a role for everyone – it demands exceptional technical versatility, deep community engagement, and end-to-end ownership from conception to delivery. What You’ll Do Build new LLM and instrumentation libraries for emerging LLM providers and agent frameworks Maintain and enhance existing instrumentation across Python and TypeScript ecosystems, and others (OpenAI, Anthropic, LlamaIndex, CrewAI and many more) Drive improvements to semantic conventions and OpenTelemetry standards that define AI observability Collaborate with the global developer community through GitHub, Slack, and conferences, as well as Arize PMs and solution architects Take complex problems from ideation to completion with full ownership and accountability What We’re Looking For 3-5+ years of software development experience shipping production code  Expert-level proficiency in both Python and TypeScript Community-oriented mindset with genuine passion for collaborative open-source development Deep interest in AI/LLM ecosystem with desire to stay current on emerging technologies Strong analytical skills to distill requirements from diverse sources and stakeholders Bonus Points, But Not Required Experience building SDK clients, instrumentation libraries, or platform APIs Hands-on experience with AI/ML observability or evaluation systems What Makes This Role Unique? You'll have direct impact on the AI ecosystem by building instrumentation that powers the next generation of AI applications across thousands of companies. Working at the intersection of open-source community building and enterprise-scale AI deployments, you'll help define industry standards while staying at the forefront of LLM technologies. The estimated annual salary for this role is between $125,000 - $225,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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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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Role Overview Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: Creating custom AI applications that will impact millions of citizens Generating high-quality training data for national LLMs Upskilling and advisory services to spread the impact of AI As a Production AI Ops Lead, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners. At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you. You will: Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies. Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment. Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability. Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks. Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again. Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials. Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases. Ideally, you have: Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector. Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI. System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core. Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools. Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them. Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy. Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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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.

false

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.

false

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.

false

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.