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About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion. About You We're not just looking for strong academic performers. We're looking for people who are genuinely driven to build things and go deep on hard problems. If the following resonates, you belong here: You go above and beyond. You have a repo, a side hustle, or a project you built just because you are curious. You’re self-directed and don't need an assignment to start coding. You have a bias towards action. You prefer to ship, break, fix, and apologize rather than wait for a committee decision. You are drawn to hard problems. You want problems that are more than one prompt away from a solution. You get absorbed in mastering your craft. Whether it’s climbing the Esports ladder, acing a math competition, winning a hackathon, or debugging a complex issue, you know what it feels like to lose track of time working on something you care about. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF or Chicago office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $125,000 annual base pay for Chicago Benefits & Perks Fully paid health insurance. 401k with matching. Unlimited PTO. Generous professional development budget. Commuter benefits. Wellness benefits Phone plan stipend #LI-LOOP

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About the teamThe AI Deployment Engineering (ADE) team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact GenAI use cases and driving them into production through strong architectural guidance and hands-on execution.The Partner ADE organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful deployments of OpenAI technologies. As the leader of the AWS Partner ADE pod, you will manage a team of AI Deployment Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform.About the roleWe are seeking a Manager, Partner AI Deployment Engineering – AWS to lead a team of AI Deployment Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help scale repeatable deployment motions.Your team will guide partners and customers through the full AI implementation lifecycle—from solution design and architecture reviews through production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering teams to ensure the voice of partners and customers informs our platform roadmap and deployment strategy.This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem.This role is based in our San Francisco office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Lead, mentor, and grow a team of AI Deployment Engineers supporting strategic AWS partner engagements and customer deployments.Define the operating model, engagement strategy, and technical priorities for the AWS Partner ADE pod.Partner closely with AWS partner leadership, solution architects, delivery organizations, and customer stakeholders to accelerate production adoption of OpenAI technologies.Guide teams through complex generative AI and traditional ML deployments, including architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.Serve as a senior technical escalation point for critical partner and customer engagements, helping teams navigate ambiguity and drive successful outcomes.Collaborate with Product, Research, and Engineering teams to synthesize partner feedback into platform improvements, tooling enhancements, and deployment best practices.Develop scalable enablement frameworks, reference architectures, and repeatable deployment patterns that improve partner effectiveness and reduce time-to-production.Drive operational excellence across the team, including resource planning, prioritization, hiring, onboarding, performance management, and career development.Act as an external thought leader on enterprise AI deployment, cloud-native AI architectures, and responsible AI adoption within the AWS ecosystem.You might thrive in this role if you:Have 8+ years of experience in technical customer-facing roles, including managing executive-level technical and business relationships with enterprise organizations and strategic partners.Have 3+ years of experience leading high-performing technical teams in solutions engineering, deployment engineering, forward-deployed engineering, customer engineering, or post-sales environments.Have hands-on experience deploying Generative AI and traditional ML systems into production environments, including familiarity with LLM application architectures, evaluation methodologies, orchestration frameworks, and operational best practices.Have strong knowledge of AWS cloud infrastructure and modern cloud-native architectures, including networking, security, compute, storage, observability, and application deployment patterns.Have experience working with cloud ecosystem partners, systems integrators, consultancies, or technical alliance organizations.Have technical depth in software engineering or solution development using languages such as Python, JavaScript, or TypeScript.Are comfortable balancing strategic leadership with hands-on technical engagement and operational execution.Are an effective communicator who can translate complex technical concepts into clear business outcomes for executives, partners, developers, and customers alike.Have a strong sense of ownership, humility, and curiosity, with a willingness to learn quickly and help others succeed in ambiguous, fast-moving environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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About the TeamOpenAI's Training team is responsible for producing the large language models that power our research, our products, and ultimately bring us closer to AGI. Achieving this goal requires combining deep research into improving our current architecture and optimization techniques, alongside long-term bets aimed at improving the efficiency and capability of future generations of models. We are responsible for integrating these techniques and producing model artifacts used by the rest of the company, and ensuring that these models are world-class in every respect.About the RoleAs a member of the training team, you will push the frontier of LLM development for OpenAI's flagship models, enhancing intelligence, efficiency, and adding new capabilities.Relevant interests may include areas such as architecture design, long-context and efficient attention, optimization and the science of scaling.Ideal candidates have a deep understanding of LLM architectures, a sophisticated understanding of model inference, and a hands-on empirical approach. A good fit for this role will be equally happy coming up with a creative breakthrough, investing in strengthening a baseline, designing an eval, debugging a thorny regression, or tracking down a bottleneck.This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Design, prototype and scale up new architectures to improve model intelligenceExecute and analyze experiments autonomously and collaborativelyStudy, debug, and optimize both model performance and computational performanceContribute to training and inference infrastructureYou might thrive in this role if you:Have experience landing contributions to major LLM training runsCan thoroughly evaluate and improve deep learning architectures in a self-directed fashionAre motivated by safely deploying LLMs in the real worldAre well-versed in the state of the art transformer modifications for efficiencyWorkplace & Location:This role is based in our London office, and we aren’t considering applications to work remotely at this time.If you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Location 📍: San Francisco, United States (Hybrid - 3 Days In Office)About Us 🚀At Relevance AI, we’re building the home of the AI workforce.Our mission is simple: empower every team to delegate meaningful work to AI agents that think, act, and collaborate like experts.With Relevance AI, anyone can create and manage intelligent agents that handle workflows, decisions, and collaboration - all within one unified platform. Our technology already powers industry leaders such as Canva, Databricks, Confluent, Autodesk, Lightspeed, Rakuten, Aveva, Qualified, and Activision Blizzard, helping them scale excellence across operations, marketing, and sales.We’re backed by Bessemer Venture Partners, Insight Partners, Peak XV, and King River Capital, and raised our Series B in April 2025 to accelerate growth and push the boundaries of agentic automation.Headquartered in San Francisco and Sydney, we operate on a hybrid model and thrive on curiosity, collaboration, and execution - we move fast, think big, and win together.This year, we were proud to be named LinkedIn’s #1 Startup in Australia.If you want to define how the world works with AI, join us.The Role 🥳We’re looking for an AI Solution Consultant to join our dynamic team with a primary focus on post‑sales implementation. We are open to varied experience levels across post‑sales; this role blends hands‑on delivery with light pre‑sales support. As an AI Agent Solutions Consultant at Relevance AI, you’ll help Enterprise customers leverage AI agents to solve core business problems.Using our low‑code/no‑code platform (and code where it counts), you will co‑design, architect, and develop production‑grade AI agents at Enterprise scale. You will also be an evangelist and enabler of our technology - driving technical success, product adoption, and measurable outcomes during high-impact implementations with our most important customers.This is an exciting opportunity for someone passionate about agentic AI, creative problem‑solving, and working directly with customers to transform their businesses with intelligent automation.We practice always‑on hiring as we scale the Solutions Consulting team and regularly add exceptional talent to our growing group.Your impact💥Lead post‑sales implementations end‑to‑end (discovery → design → build → UAT → launch → hypercare), owning scope, delivery, customer enablement, and business impact.Build and integrate production AI agents with customer systems via REST/GraphQL, webhooks, and events; handle auth (OAuth2/JWT), data mapping, and robust error handling.Configure agent workflows, prompts, tools, and retrieval/RAG; establish evaluation, guardrails, and reliability standards for quality and safety.Develop lightweight Python automations and custom connectors/middleware to meet integration needs.Set up observability (logging, metrics, tracing, alerting) and create clear runbooks, playbooks, and technical documentation.Provide Tier 2/3 troubleshooting and root‑cause analysis; drive durable fixes and continuous improvement post‑go‑live.Enable and train customers to be self‑sufficient builders on the Relevance AI platform through workshops, onboarding, co-development sessions and best practices sessions.Act as a strategic partner by channeling customer insights to Product; influence roadmap and reusable solution patterns.Identify expansion opportunities with Customer Success based on delivered value and measurable outcomes.Support implementation efforts pre‑sales (~20%) with targeted discovery, use case selection and implementation planning.What We’re Looking For 🧠4+ years in Solutions/Professional/Implementation (Enterprise preferred).Strong Python and API integration skills (REST/GraphQL, OAuth2, webhooks, OpenAPI; Postman/Insomnia).Hands‑on with LLMs: prompt design, RAG, embeddings, vector DBs, orchestration (e.g., LangChain/LlamaIndex), and major model providers.Able to translate business needs into pragmatic technical solutions; excellent customer communication.Experience building productionizing use cases on low‑code SaaS and/or AI platforms.Cloud and delivery fundamentals (AWS/GCP/Azure, Git, Docker, CI/CD, secrets); familiarity with security/privacy (e.g., SOC 2, data residency).Customer‑first mindset, bias to action, and continuous learning.Nice to have: RFP/security questionnaire responses, solution diagrams, SOW/LOE contributions.Occasional travel to customer sites might be required.Why Join Us? 🌟Work at the forefront of AI with a nimble team that is constantly pushing boundaries. We encourage and celebrate ideas that drive our mission forward.We're guided by our five values: truth-seeking, being empathetic, putting the customer first, iterate extremely fast, and building memories.We’ve set high standards in our high-trust environment—we hire exceptional people to do great work. In return, we reward our people with competitive salaries, unparalleled professional growth and career-defining opportunities.Relevance AI is well-funded by leading investors, including Insights Partners, Peak XV, King River Capital.As an early team member, you’ll play a key role in shaping our future—including our culture, ways of working, and even the benefits we offer. We’re laying the foundations now, and your ideas can help define what comes next.Benefits ✨🩺 Health Insurance Contribution – Relevance AI contributes to the cost of individual medical, dental, and vision insurance for employees.🚍 Commuter Benefits – Save on your commute with pre-tax deductions for transit and parking expenses🏖️ Unlimited Annual Leave – Flexible time off policy to rest, recharge, and take care of what matters most📈 ESOP – Employee Stock Ownership Plan so you can grow with the company🤖 AI Productivity Benefit – Get up to $1200 USD/year to spend on AI tools, courses, and learning resources that help you work smarter and grow your skills👶 Parental Leave – We offer 12 weeks of paid parental leave for all eligible new parents, and an additional 6 weeks for the birthing parent🎉 Milestone Merch – Celebrate your work anniversaries with customised Relevance AI swag🍿 Food, Drinks & Community – Stay energised with free breakfasts, healthy snacks, and a fully stocked fridge of drinks. Enjoy team lunches provided every Tuesday, Thursday and Friday, plus Uber Eats dinners and regular catered office meals throughout the week. As the home of the AI workforce, we also host vibrant community events featuring thought leaders, industry partners, and the wider tech community.🪩 Quarterly Team Events – Build stronger connections through fun, meaningful team bonding experiences every quarter🏓 Social Clubs – Share your hobbies and interests by joining or starting a club with your teammates. From hiking and chess to board game nights and social committee activities—there’s something for everyone!🧠 Sonder EAP – Access 24/7 mental health and wellbeing support through Sonder, our Employee Assistance ProgramWork Authorization: At this time, we are not able to sponsor visas or transfer immigration status for candidates applying to U.S.-based roles. You must be authorized to work in the United States without current or future sponsorship.

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Notice: This is an on-site role based in San Francisco, California. Relocation is required, and we're happy to discuss timing and support during the process.At Pylon, we're building the future of B2B Post Sales.We’re building the all-in-one B2B post-sales support platform powered by conversational data and layered with intelligence to help our customers run their operations in real-time.We’re backed by a16z, BCV, General Catalyst, Y Combinator.Currently more than 1300 companies including Linear, Cognition (makers of Devin), Modal Labs, and Incident.io run their support and customer success workflows with Pylon. You'll also find us on the Enterprise Tech 30 List.Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.In this role, you will... Build the platforms that power Pylon's AI features - prompt executions, search infra, and more!Improve LLM observability - AI evals (online and offline), scorers, and set up Pylon's AI for the next wave of scalingImprove the quality and performance of AI featuresYou might be a fit if the below describes you...You dislike meetings and would much rather focus your time on building, being productive, and shipping codeYou have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great atYou thrive when you have autonomy, own as many of the details as possible, and project manage your own workYou're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all loveWe work with React, Golang, GraphQL, and AWSYou'll join a strong technical team of senior engineers from places like Samsara, Affinity, and Airbnb.Our perks🏥 Fully covered medical, dental, and vision insurance for employees🏦 401(k) retirement plan🚆 Commuter benefits🌱 Parental leave🏝️ 14 company holidays + unlimited PTO🗺️ Annual offsite🍽 Lunch, dinner, and snacks at the office🏋️ Fitness stipendMore about PylonFunding: Series B led by a16z and BCV ($51M total raised)Founders: Advith Chelikani, Robert Eng, and Marty KausasTeam: Currently 100 and growing!

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Notice: This is an on-site role based in San Francisco, California. Relocation is required, and we're happy to discuss timing and support during the process.At Pylon, we're building the future of B2B Post Sales.We’re building the all-in-one B2B post-sales support platform powered by conversational data and layered with intelligence to help our customers run their operations in real-time.We’re backed by a16z, BCV, General Catalyst, Y Combinator.Currently more than 1300 companies including Linear, Cognition (makers of Devin), Modal Labs, and Incident.io run their support and customer success workflows with Pylon. You'll also find us on the Enterprise Tech 30 List.Our product has a very large problem space so there’s a ton of stuff to build and take ownership of - we’d be excited to get your help as we're hiring several extremely talented software engineers across the stack.In this role, you will... Build the next set of AI Features at Pylon, rapidly iterating based on customer feedbackImprove the quality and performance of AI featuresYou might be a fit if the below describes you...You dislike meetings and would much rather focus your time on building, being productive, and shipping codeYou have strong engineering fundamentals, code efficiently, and you know what you're great at and what you're less great atYou thrive when you have autonomy, own as many of the details as possible, and project manage your own workYou're in SF or you're willing to relocate, you love working in-person, and you're serious about joining us to build a culture we'll all loveWe work with React, Golang, GraphQL, and AWSYou'll join a strong technical team of senior engineers from places like Samsara, Affinity, and Airbnb.Our perks🏥 Fully covered medical, dental, and vision insurance for employees🏦 401(k) retirement plan🚆 Commuter benefits🌱 Parental leave🏝️ 14 company holidays + unlimited PTO🗺️ Annual offsite🍽 Lunch, dinner, and snacks at the office🏋️ Fitness stipendMore about PylonFunding: Series B led by a16z and BCV ($51M total raised)Founders: Advith Chelikani, Robert Eng, and Marty KausasTeam: Currently 100 and growing!

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Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.   Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.   Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines. At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.   How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here. The RoleAs a Senior Backend & AI Engineer, you will be responsible for the design, development, deployment, and operation of business-critical AI features. Previous experience implementing AI features is a must. Best practices, evangelization, and mentoring in your team and across all of Engineering will be a part of your day to day job. Quality, excellence, and agility drive our delivery processes and you will help us level these up. You will be building practical applications such as chatbots, virtual assistants, automated content generation, and other NLP-powered tools. You will use and fine-tune existing LLMs to cater to specific business needs and domains, ensuring high performance in real-world applications.Your Responsibilities @ Aircall Collaborate on requirements analysis to design the right technical and business solutions for our customers. Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies. Own key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules. Write clean, scalable, and maintainable code while ensuring proper testing, deployment, and monitoring. Continuously improve code quality through regular refactoring, debugging, and performance enhancements. Contribute to building secure, high-quality AI solutions that power Aircall’s customer experience. Optimize product and platform performance and ensure reliability through live site monitoring. Participate in an on-call rotation to handle critical incidents and maintain system uptime. Qualifications: AI experience is a must for this position: Strong knowledge of LLMs and hands-on experience building with them - including usage, prompting and model integration. Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization. 5+ years of experience in back-end development using Python, TypeScript/Node.js, or Java, with a focus on security, scalability, availability, and performance. Full-stack development experience is a strong plus. Nice to have: Ideally you will have worked with AWS in a production environment and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon. Security is at the forefront of your mind in everything that you do. Why join us?   🚀 Key moment to join Aircall in terms of growth and opportunities 💆‍♀️ Our people matter, work-life balance is important at Aircall 📚 Fast-learning environment, entrepreneurial and strong team spirit 🌍 45+ Nationalities: cosmopolite & multi-cultural mindset 💵 Competitive salary package & benefits 🏨 Medical, dental, and vision insurance is 100% covered 📈 401k plan with company matching! ✈️ Unlimited PTO — take the time you need to come to work feeling great! ⭐️ Wellness, commuter, and childcare reimbursements 💚 Generous parental leave policy   DE&I Statement:  At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.    We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.     We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.   Want to know more about candidate privacy? Find our Candidate Privacy Notice here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Data Scientist🌍 UK (Remote or Hybrid, it’s up to you!)💰 Dependent on experience📈 Be part of our success with the opportunity to join our company equity scheme 🦸‍♀️ The Role 🦸‍♀️Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.We're hiring a Data Scientist to join the team and help build and ship the next generation of that stack. 👉 What you'll be doing:Unlike many companies, we use our own custom models, specialised for customer feedback, across various parts of the stack: extraction, retrieval, reranking, summarisation, and sentiment analysis. We are also pragmatic and understand that the right solution can be a combination of off-the-shelf LLMs, bespoke fine-tuned models, and sometimes techniques that utilise no LLM at all. This means you will:Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom fine-tuning pipelines and running experiments with rigour and clear documentation.Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and insight generation — with support and guidance from senior team members.Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality across classification, extraction, and generative tasks.Work on semantic search and retrieval, developing a strong working understanding of embedding-based approaches and the methods that go beyond them.Write clean, well-tested code and collaborate with Engineering on model integration, data pipelines, and monitoring.Work with the wider Data Science team to translate business and product requirements into practical ML experiments and solutions.Stay close to relevant research and bring useful ideas from the literature into team discussions and experiments.🧰 What you’ll need: A solid working knowledge of transformer architectures and how they are applied in NLP tasks.Proficiency in PyTorch, including training loops and standard model fine-tuning workflows; exposure to parameter-efficient techniques such as LoRA is a plus.Experience working with real-world text data across tasks such as classification, extraction, embeddings, or search — at a meaningful scale.Some exposure to instruction fine-tuning or model serving, with an interest in going deeper.A grounding in classical ML and statistics, and the instinct to reach for simpler methods when warranted.Familiarity with GenAI and agentic patterns, even if hands-on production experience is still developing.Clear communication skills and the ability to explain technical work to colleagues across functions.Genuine curiosity about AI and a habit of experimenting — you learn by doing.Good ownership instincts: you follow problems through rather than passing them on.➕It would be a bonus if you:MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field. 🔎 Our Hiring ProcessLet’s introduce ourselves – you’ll complete an introductory asynchronous interview - we’d love to learn more about you, your ambitions, and what you’re looking for in your next step.Get to know your would-be manager – you’ll have a call with Aji, our Chief Scientist, to learn more about the role and show off your experience.Show us how you work – you'll complete a short take home assignmentGet to know your would-be team – You'll meet a mix of people who you'll be working closely with from the Data Science, Engineering and Product teams.How our values and your career goals align – you’ll have a call with our cofounder to learn more about life at Chattermill and ensure we’re the right place for your next stage of growth.Our Perks 🤸🏽‍♂️ Flexibility & Work SetupFlexible working in a choice-first environment - we trust the way you want to work!Work-from-home allowance to set up your ideal workspace🌴 Time Off25 days holiday + local bank holidays, plus an extra day for each year of serviceYour birthday off🌱 Growth & OwnershipAnnual learning & development budget to support your growth (increasing over time)Equity options — share in the company’s success💚 Health & WellbeingMonthly health & wellbeing budget, increasing with length of serviceOptional private healthcare planLife assurance & income protection (location dependent)Employee Assistance Programme (location dependent) for extra support when you need itEnhanced family leave (location dependent), plus fertility and neonatal leave🌆 Office PerksIf you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace 💖 Our Values We are obsessed with experience – We take our mission to rid the world of bad Customer Experience seriously, and we practice what we preach.We believe in the power of trust – Whether it's with each other, our customers, partners, or other stakeholders, we always communicate with openness and trust.We act as responsible owners – Whether it's about the company, a team, a project, or a task, having the freedom to make decisions in our area of responsibility is a crucial driver for us.We share a passion for growth & progress – On every level, we’re motivated by taking on new challenges – even if they seem out of reach. We recognise that we are learning machines and we always seek to action feedback and improve collectively.We set our ambitions high but stay humble – We've come together to build a product and a category that’s never been seen before. While we're an ambitious bunch with lofty goals, we don't approach this goal carelessly.We believe the right team is the key to success – At Chattermill we’ve learned that all our important achievements have been the result of the right people collaborating together – that’s why we need you to apply today! 🌈 Diversity & Inclusion 🌈We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team.  We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!   #machinelearning #machinelearningscientist #datascience #deeplearning #LLM #ML #data #AI #PyTorch #datascientist

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About Beacon AIWe’re a fast-moving team of aviators, engineers, and operators building an AI platform to make flying safer, more efficient, and more capable. Backed by top investors, we’ve secured a dozen Department of Defense contracts and partnered with major airlines to deliver mission-critical systems. We operate without silos or heavy processes. Small, focused teams own what they build, ship quickly, and learn fast, pushing the boundaries of how humans and AI work together in aviation.Role OverviewWe are seeking a Software Engineer to help design and build the advanced pilot assistance software that supports our flight safety platform. In this role, you will develop and deploy autonomy, robotics, and embedded systems that operate in real-world, safety-critical aviation environments. You will contribute hands-on across the stack, working closely with senior engineers to deliver reliable systems that support time-sensitive decision-making for human operators.What You’ll DoDesign, build, and deploy robotic and embedded software components used in advanced pilot assistance systems.Contribute to autonomy-related features or subsystems from development through deployment, with a focus on reliability and performance.Write, test, and maintain high-quality Python and/or C++ code across autonomy, systems, and embedded components.Integrate software with hardware, sensors, and perception or data ingestion pipelines to support autonomous and operator-in-the-loop decision-making.Help optimize software for edge compute environments, including managing latency and resource usage.Participate in testing, validation, and deployment efforts to ensure systems meet safety-critical and mission-critical requirements.Collaborate in design reviews, code reviews, and hands-on development with senior engineers and cross-functional teams.What Will Make You Successful2+ years of experience designing or building robotic software and/or embedded systems, or equivalent experience through projects, internships, or coursework.Experience writing production-quality code in C++ and/or Python.Familiarity with real-time or interactive systems that support users making time-sensitive decisions.Exposure to autonomy-related systems such as planning, decision-making, or reasoning, and working with sensor or perception pipelines.Some experience working with embedded or edge compute platforms and debugging hardware/software interactions.Ability to learn quickly and contribute effectively in fast-moving, ambiguous environments.Bonus PointsExperience working on safety-critical or mission-critical systems, including aviation or robotics domains.Exposure to robot operating systems or middleware such as ROS or DDS.Interest in human-in-the-loop systems, simulation environments, or real-time control systems.Background or strong interest in autonomy, robotics, or advanced mobility.Work Location This is a hybrid role based in San Carlos, CA, with 3+ days per week onsite and the option to work remotely on remaining days.Perks & Benefits (Full-Time Employees)Healthcare: 100%* of employee medical premiums covered; 25% for dependentsTime Off: 3 weeks PTO plus 13+ paid company holidaysStipends: Monthly phone and wellness benefits401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future).Due to U.S. export control regulations, we can only hire U.S. Persons (U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status). We are unable to provide visa sponsorship or support visa transfers. All work must be performed in the United States. Beacon AI is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected characteristic. We prohibit harassment or discrimination of any kind in the workplace and comply with all applicable federal, state, and local employment laws.

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About MashginMashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don’t care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you’re in the right place.Position Summary Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves “This could be done with computer vision!” and who loves experimenting with new algorithms. You’ll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.   We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.What We Value:Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.Simplicity: Complexity is a waste of time here—we take pride in building things that just work.Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what’s possible in visual automation.Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.Customer Innovation: We are customer-centric, not customer-pleasing. You won’t bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.You Will Be Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems Coming up with large scale data collection techniques for training Deep Neural Nets Driving the development of new algorithms that dramatically improve our existing methods Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images Coding full-stack building products from end to end Minimum Qualifications 4+ years relevant coding experience Masters degree in Computer Science or related field Strong background in Computer Vision Exposure to new Deep Learning techniques for image recognition Preferred Qualifications MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field Experience with Python or C/C++ in a Linux environment Knowledge and experience in application of Deep Learning to Computer Vision problems Real-world experience building Computer Vision systems What We Offer An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries Excellent health, dental and vision insurance for you and your dependents 401k plan Flexible PTO policy Catered lunch in office with fully stocked snacks and beverages Pet insurance for your fur babies Voluntary life insurance plan Competitive salary and options in a small, rapidly scaling company 180,000 - 260,000 a yearFor roles based in Palo Alto, CA, the overall market range for Mashgin is typically $180,000 - $260,000 USD annually. Note that total compensation for this position will be determined by candidate’s relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.  Notice on fraudulent jobsWe have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.

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The RoleAt Mach9, we're building AI to turn dense LiDAR and image data into design-grade CAD deliverables for civil engineering and surveying. We have one of the richest survey-grade datasets in the world. Our product, Digital Surveyor, automates work that takes surveyors and engineers weeks of manual effort.We're looking for a Head of Machine Learning to build and grow the organization that turns our data into the automated products of the future in surveying and design. This is a hands-on leadership role: you'll set the technical vision for our strategy, mentor and grow a team of ML engineers and researchers, and own the throughline from hard research problems to shipped product capabilities.This role is ideal for experienced engineers, team leads, and managers who want to push the frontier of 3D computer vision and perception. You’ll have the opportunity to solve problems that few other teams have the data or the talent to take on. We need you to bring a strong vision of what’s possible with our unique dataset, and then to build a team around you to accomplish that vision.ResponsibilitiesDefine and drive a coherent vision for how Mach9 can leverage our data advantage to build the best automation products across surveying and design.Translate your vision into a technical roadmap, execute strongly, and bring our products to the next level. You’ll need to identify which challenges are worth solving, and then which models are ready to ship.Build and grow our ML team: hiring, onboarding, structuring the team as it scales, and shaping the split between research and engineering as our organization matures.Mentor ML engineers and researchers, providing technical direction, career growth, and guidance to raise the level of the whole team.Stay technically hands-on: review designs and code and weigh in on architecture and modeling decisions, so that you stay credible and connected to the team and problems.Partner with product and engineering leadership to align Mach9’s investment into research with our product strategy and customer needs.RequirementsExperience leading and growing teams — hiring and mentoring ML engineers and researchers.5+ years of work experience in machine learning, with a track record of shipping ML models or systems to production.Strong technical depth in machine learning and computer vision, and an ability to set technical direction and to earn the trust of a strong technical team.Ability to develop technical roadmaps and execute on them.Strong communication skills, with the ability to operate across research and engineering.Proficient with Python and PyTorch. You must be comfortable engaging deeply with our technical work.Bonus qualificationsBackground in machine learning for 3D perception — point cloud understanding, 3D detection/segmentation, geometric deep learning, or related areas.Experience with CAD AI, design automation, or applying ML to generate structured/geometric output, rather than just classification or detection.Experience scaling an ML organization through a growth phase — defining team structure and hiring strategy.Background in domains that work with similar data to Mach9 — remote sensing, geomatics, autonomous driving, or robotics.Experience leveraging large unstructured datasets, especially reality-capture datasets, to build data-driven products and flywheels.

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The roleAt Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery. Our unique data advantage allows us to develop and train cutting edge 3D scene understanding models that serve real surveyors and engineers in the field.This role is both research-driven and product-focused. You'll design and train the models that power our automated extraction pipeline — image and 3D detection and localization — and work end-to-end from research prototype to production feature. You'll partner closely with infrastructure and product teams to take ideas from a paper to deployed capabilities.This role is ideal for early-to-mid-career ML engineers who thrive on end-to-end ownership and are able to move fluidly from dissecting a new architecture paper to shipping the product feature that the resulting ML model backs.ResponsibilitiesDesign, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery.Drive ML research that translates directly into product capabilities: prototyping new approaches, running experiments, and identifying what’s shippable.Own models through the full product lifecycle: problem framing, data strategy, training, evaluation, and final integration into our cloud-based CAD software, Digital Surveyor.Develop evaluation methodology and metrics that reflect real surveying and engineering accuracy requirements.Work with ML infrastructure engineers to scale training and inference of your models and with product teams to align your model’s behavior with what the user wants.RequirementsMaster's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or equivalent industry experience.Strong foundation in computer vision and deep learning, with hands-on experience training models for segmentation, detection, or 3D understanding.Experience taking a ML model from research/prototype to production, not just publishing or benchmarking.Working knowledge of geometric concepts relevant to 3D perception like coordinate systems and 3D transforms.Strong communication skills and the ability to collaborate with researchers, other engineers and product stakeholders.Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow.Bonus qualificationsExperience with common 3D deep learning architectures, like point cloud backbones such as PTv3, sparse convolutions, or 3D detection/segmentation networks.Experience with large unstructured datasets — imagery and 3D point clouds — at scale.Experience delivering production-grade models with optimization techniques such as quantization, pruning, distillation, or runtime acceleration (e.g., TensorRT, ONNX Runtime).Familiarity with multi-GPU training and experiment management (Weights & Biases or similar).Publications or strong open-source contributions in computer vision or 3D machine learning.

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. This team helps automate audit readiness work while keeping customers in control. This is a rare opportunity to lead a zero-to-one build in one of the fastest-growing areas of our business, transforming Vanta into an AI-first platform.The team's mission is to make AI a core differentiator of Vanta by enabling and accelerating product innovation, and creating reliable, trustworthy, and high-quality customer experiences. The team is currently building out our Vanta Agent product, focused on downmarket and startup customers initially, with plans to scale the product to all customer segments. Core projects include agentic evidence collection, reducing manual work while ensuring the customer remains the final approver in all decisions.In this role, you'll manage a team that's scaling rapidly—currently 7 engineers with plans to grow to scale further throughout the year. You'll work closely with Vanta's AI platform team, product, and GRC subject matter experts to ship AI features that deliver magical customer experiences. Visit our Vanta Engineering Blog to learn more about what our team is working on! Please note we are only able to hire in Alberta, Ontario, and British Columbia. What you’ll do as an Engineering Manager at Vanta:Build and scale a high-performing team, hiring strategically to fill skill gaps as the team growsCoach, mentor, and create an environment where your team can do their best work and deliver for the businessSet direction and guide technical strategy for AI agent and downmarket products, ensuring long-term value aligned with Vanta's business prioritiesPartner closely with product, design, and AI platform teams to ship customer-facing AI features that automate audit work while maintaining human-in-the-loop controlsChampion best practices for applied AI, including prompt engineering, RAG, agentic frameworks, and quality evaluationNavigate rapid change and ambiguity with adaptability, iterating quickly on roadmaps as the team's charter and direction evolve How to be successful in this role:2+ years of experience managing technical teams of 4-8+ engineersProven track record as a strong individual contributor before transitioning to management, with hands-on applied AI experienceDeep knowledge of building LLM-backed products, including experience with prompting, RAG, agent frameworks, and quality hill-climbingExperience in fast-paced, startup environments; founder background or YC experience is a strong plusStrong adaptability and comfort with ambiguity—you can quickly iterate on roadmaps without too much attachment as priorities evolveExcellent collaboration and influencing skills across engineering, product, design, and cross-functional teamsFamiliarity with Vanta's tech stack (TypeScript, React, Node.js) or willingness to ramp quicklyOpen to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.What you can expect as a Vanta’n in Canada:Industry-competitive salary and equity100% covered medical, dental, and vision benefits with dependents coveragePension contribution16 weeks fully paid Parental Leave for all new parentsHealth & wellness stipendRemote workspace, internet, and cellphone stipendFlexible work hours and location21 days of Vacation Time and 80 hours of Sick Leave11 company-paid holidaysVirtual team building activities, lunch and learns, and other company-wide events!Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney#LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.Referral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.   

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features.What You'll DoEstablish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one).Scope, design and build custom agents, playbooks and prompts for key strategic customers.Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions.Prototype, test and iterate, including piloting Harvey features prior to general release.Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful.Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth.Create and maintain reusable assets, capturing best practices to speed up future deployments.What You HaveJD or equivalent legal qualification.5+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team.Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience.Strong communication skills and a track record of partnering with senior stakeholders to drive results.Interest in driving positive change in the legal industry through AI.Experience using AI tools in legal practice is a plus.CompensationOTE 80/20 Split $210,000-300,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-LS1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features.What You'll DoEstablish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one).Scope, design and build custom agents, playbooks and prompts for key strategic customers.Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions.Prototype, test and iterate, including piloting Harvey features prior to general release.Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful.Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth.Create and maintain reusable assets, capturing best practices to speed up future deployments.What You HaveJD or equivalent legal qualification.5+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team.Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience.Strong communication skills and a track record of partnering with senior stakeholders to drive results.Interest in driving positive change in the legal industry through AI.Experience using AI tools in legal practice is a plus.CompensationOTE 80/20 Split $210,000-300,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-LS1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features.What You'll DoEstablish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one).Scope, design and build custom agents, playbooks and prompts for key strategic customers.Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions.Prototype, test and iterate, including piloting Harvey features prior to general release.Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful.Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth.Create and maintain reusable assets, capturing best practices to speed up future deployments.What You HaveJD or equivalent legal qualification.5+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team.Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience.Strong communication skills and a track record of partnering with senior stakeholders to drive results.Interest in driving positive change in the legal industry through AI.Experience using AI tools in legal practice is a plus.CompensationOTE 80/20 Split $210,000-300,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-LS1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey's Custom Solutions team builds tailored AI tools for leading strategic customers. The team scopes, designs and implements custom agents, playbooks and prompts to address high-priority use cases. Each solution is built around a customer's specific needs and stored in its Harvey instance for scalable access across the organization. Team members have opportunities to travel onsite and build relationships with senior stakeholders to support the rollout of these tools. They also partner with Harvey's Go-to-Market and Product teams to advance the platform by gathering feedback, surfacing opportunities and piloting features.What You'll DoEstablish a clear understanding of Harvey's platform and the process for building solutions (you're not expected to be a platform expert on day one, but you should be interested in becoming one).Scope, design and build custom agents, playbooks and prompts for key strategic customers.Build strong relationships with senior stakeholders to understand their requirements, map their processes and turn needs into working solutions.Prototype, test and iterate, including piloting Harvey features prior to general release.Communicate market feedback to Product and Engineering, surfacing the opportunities for enhancements that will be most impactful.Partner with Harvey's other Legal Engineering and Go-to-Market teams to deliver measurable growth.Create and maintain reusable assets, capturing best practices to speed up future deployments.What You HaveJD or equivalent legal qualification.5+ years of experience as a practicing lawyer at a top-tier firm and/or in-house legal team.Curiosity about testing various approaches, evaluating deliverable quality and optimizing for customer outcomes and experience.Strong communication skills and a track record of partnering with senior stakeholders to drive results.Interest in driving positive change in the legal industry through AI.Experience using AI tools in legal practice is a plus.CompensationOTE 80/20 Split $210,000-300,000Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].#LI-LS1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the Team OpenAI’s Hardware organization develops custom silicon and system-level solutions for the unique demands of advanced AI workloads. The team works across hardware, systems architecture, and software to build infrastructure that enables high-performance, AI-native computing at scale. In close partnership with research, software, and external vendors, we bring up new platforms, integrate emerging technologies, and develop the host-side systems software needed to make these systems performant, reliable, and production-ready.About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA.This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation.In this role you will:Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components.Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality.Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction.Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries.Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization.Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities.Work with external vendors where needed to integrate technologies and drive issues to resolution.Contribute across the systems software stack as the platform and team evolve.Help shape the technical direction and engineering practices for a growing systems software stack.You might thrive in this role if you have:Experience building low-level or performance-critical systems software.Strong programming skills in C or C++, with proficiency using Python and Linux tooling for automation and debugging.Strong Linux systems fundamentals and the ability to debug across hardware and software boundaries.Hands-on experience in at least one relevant area, such as Linux kernel drivers, kernel networking, RDMA, PCIe, DMA, NIC software, accelerator software, or high-performance I/O.Experience owning complex software projects from design through implementation, bring-up, and validation.Ability to thrive in ambiguity, work across subsystem boundaries, and build systems from scratch.Strong cross-functional communication skills.Preferred QualificationsExperience developing Linux kernel drivers or other OS-level performance-critical components.Familiarity with RDMA or RoCE, ibverbs, kernel networking, or congestion-control concepts such as ECN and DCQCN.Experience with PCIe, DMA, peer-to-peer communication, SR-IOV, IOMMU, dma-buf, or related accelerator and I/O subsystems.Experience bringing up accelerators, NICs, SoCs, or custom hardware platforms.Experience profiling and optimizing high-throughput, low-latency systems.Familiarity with Rust or experience using Rust for systems programming.To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.📐 About the rolexImagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive – for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions.This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.* We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise.🦸🏻‍♀️ What you'll doDesign and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformationBuild and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platformAct as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deploymentImplement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablementDrive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineersPartner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads⭐️ What you need3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environmentsProven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworksPractical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and KubernetesSolid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflowsExposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systemsA Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice.

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🚀 About WRITERWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the rolexImagine stepping into a role where your code directly empowers the world's largest enterprises to safely adopt superintelligence. As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human capacity by building the secure, scalable foundation that allows our generative AI solutions to thrive in complex corporate environments. The impact of this work is massive – for example, in the consumer packaged goods industry alone, our AI adoption is driving 69% revenue increases and 72% cost reductions.This role is designed for a well-rounded engineering generalist who leans heavily into generative AI while bringing a whole-systems mindset to architectural design. If you thrive on proactivity without red tape and love owning projects from proposal to deployment, you'll shape the future of AI and contribute to a product that’s changing how the world works. This is a hybrid role based out of our San Francisco, New York City, or London hubs. You'll report to an engineering director or a senior engineering manager.* We are open to hiring for this role at multiple levels, from senior to staff software engineer, with compensation ranges scaled to match your experience and expertise. 🦸🏻‍♀️ What you'll doDesign and develop robust, secure, and scalable generative AI services and applications using Python and modern frameworks to drive enterprise-wide transformationBuild and optimize high-performance, low-latency APIs and microservices to integrate advanced AI models and sophisticated agentic workflows into our core platformAct as a whole-systems thinker by making meaningful system design decisions and owning the architecture of core platform components from initial proposal through production deploymentImplement and maintain responsive user interfaces using technologies like React and TypeScript to deliver intuitive user experiences and bridge the gap between backend services and frontend enablementDrive proactivity without red tape by clearly communicating changes, plans, and proposals to cross-functional teams and collaborating closely with product managers, data scientists, and DevOps engineersPartner with DevOps teams to build continuous deployment, logging, and monitoring systems that ensure top-tier performance, security, and reliability across distributed workloads ⭐️ What you need3-5+ years of hands-on experience as a software engineer with a strong emphasis on Python development in production environmentsProven expertise in building and deploying generative AI applications, leveraging LLMs, vector databases like Pinecone, Weaviate, or pgvector, and modern open-source agentic frameworksPractical experience with microservices architecture, RESTful APIs, cloud platforms such as AWS, GCP, or Azure, and containerization with Docker and KubernetesSolid grasp of modern web technologies including FastAPI, Asyncio, database systems like PostgreSQL, and hands-on experience leveraging AI developer tooling like Claude, Cursor, or GitHub Copilot to accelerate your engineering workflowsExposure to enterprise architecture including practical experience implementing IAM, SSO, SAML, OAuth, OIDC, RBAC, robust security best practices, or building services for enterprise administration and billing systemsA Connect mindset that thrives in collaborative settings where you actively engage with cross-functional teams and mentor other engineers, a Challenge spirit that drives you to tackle complex technical hurdles and proactively suggest innovative improvements, and an Own attitude where you take full accountability for delivering high-quality, resilient, and scalable code from conception to production🍩 Benefits & perks (UK full-time employees):Generous PTO, plus company holidaysComprehensive medical and dental insurancePaid parental leave for all parents (16 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriCompetitive pension scheme and company contributionAnnual work-life stipends for:Wellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation and company stock options