AI Product & Operation Jobs

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We’re looking for an AI Engineer – Frontend who’s excited to turn cutting-edge AI ideas into seamless, beautiful user experiences. You’ll take the lead in building fast, intuitive, and scalable interfaces that power our developer tools and AI products — bringing ideas from prototype to production. This is a unique opportunity to work at the intersection of AI, design, and engineering, collaborating closely with cross-functional teams to craft products that are as powerful as they are delightful to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the frontend experience of our platform — architecting, building, and shipping responsive, high-performance interfaces in TypeScript, JavaScript, and React.Collaborate closely with product, design, and backend teams to deliver seamless end-to-end user experiences.Translate complex user needs and product requirements into elegant, maintainable, and scalable frontend solutions.Integrate frontend components with backend APIs and services — and, where possible, contribute to backend logic in JavaScript/Node.js.Rapidly prototype new features and experiments, leveraging AI-assisted coding workflows to accelerate iteration.Work on interfaces that connect directly with LLMs, AI agents, and other frontier models, building intuitive user experiences around powerful AI capabilities.Participate in code reviews, technical design discussions, and continuous improvement of engineering practices.Monitor performance, identify bottlenecks, and ensure applications run smoothly at scale. Here are the skills you should have:2–4 years of professional experience building modern web applications.Strong proficiency in TypeScript, JavaScript, and React.Solid understanding of frontend architecture, component design, and state management patterns. Experience integrating APIs and working collaboratively with backend teams.Familiarity with AI models, LLMs, or AI agents — and a curiosity to keep exploring the latest developments in GenAI.Clear communication skills and the ability to work cross-functionally in a fast-paced, collaborative environment. Bonus Points:Experience contributing to backend services (Node.js, Express, or similar).Built developer-focused products or tools, especially in the AI or infrastructure space.Worked on AI-driven interfaces or products that interact with foundation models.Experience building 0→1 products or working in early-stage startup environments.Interest in education, developer experience, or enabling others to succeed with AI.

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We’re looking for a Product Designer who loves turning ideas into real, tangible products. You’ll take concepts from zero to one — owning the entire design process from discovery to launch. You’ll work on a variety of projects, from new AI-powered products to developer tools, collaborating closely with product and engineering to move fast, test ideas, and craft experiences that make advanced technology feel simple, intuitive, and a joy to use. This is a full-time, hybrid role based in Mountain View, California. Here’s what you’ll do:Own the full design lifecycle — from discovery and research to ideation, prototyping, visual design, delivery, and iteration.Partner with product and engineering teams to translate user insights and strategic goals into impactful experiences.Conduct user research and usability testing to identify pain points and opportunities, turning insights into actionable design solutions.Design elegant, responsive, and accessible user interfaces in Figma, ensuring every interaction feels seamless and intuitive.Work with, add to, and maintain a scalable Design System — including components, documentation, and interaction patterns — to ensure consistency and speed across platforms.Rapidly prototype new ideas using tools like Figma Make and v0, leveraging AI to accelerate exploration and validation.Collaborate with engineers to ensure design intent is implemented effectively — and, where possible, contribute to front-end prototypes using AI-assisted coding workflows.Continuously measure and refine design decisions based on product data, user feedback, and key success metrics. Here are the skills you should have:A passion for designing products that make a real impact and solve meaningful user problems.4+ years of experience designing digital products end-to-end, with a portfolio showcasing shipped work across web and mobile platforms.Strong skills in user research, usability testing, and turning insights into product decisions.Proven experience designing high-quality interfaces and managing design systems from the ground up.Proficiency with Figma and prototyping tools, including AI-powered solutions like Figma Make or v0. Experience and familiarity with coding is a huge plus!Experience collaborating closely with engineers and PMs throughout the product development lifecycle.Curiosity about technical implementation and comfort discussing design decisions with technical depth.Excellent communication skills in English and the ability to articulate design rationale to diverse stakeholders. Bonus points if you have:Experience building 0→1 products or working in early-stage environments.Familiarity with accessibility standards and inclusive design practices.Understanding of front-end fundamentals (e.g., HTML, CSS, Tailwind) and the ability to prototype or code with AI tools.Experience in AI products consumer/B2C products and/or designing for developer-focused platforms.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this team?The internal infrastructure team is responsible for building world-class infrastructure and tools used to train, evaluate and serve Cohere's foundational models. By joining our team, you will work in close collaboration with AI researchers to support their AI workload needs on the cutting edge, with a strong focus on stability, scalability, and observability. You will be responsible for building and operating Kubernetes GPU superclusters across multiple clouds. Your work will directly accelerate the development of industry-leading AI models that power Cohere's platform North. We’re hiring software engineers at multiple levels. Whether you’re early in your career or a seasoned staff engineer, you’ll find opportunities to grow and make an impact here. Please Note: All of our infrastructure roles require participating in a 24x7 on-call rotation, where you are compensated for your on-call schedule.As a Software Engineer in the Internal Infrastructure team, you will:Build and operate Kubernetes compute superclusters across multiple cloudsPartner with cloud providers to optimize infrastructure costs, performance, and reliability for AI workloadsWork closely with research teams to understand their infrastructure needs and identify ways to improve stability, performance, and efficiency of novel model training techniquesDesign and build resilient, scalable systems for training AI models, focusing on creating intuitive user interfaces that empower researchers to self-serve to troubleshoot and resolve problemsEncourage software best practices across our company and participate in team processes such as knowledge sharing, reviews, and on-callYou may be a good fit if you:Have deep experience running Kubernetes clusters at scale and/or scaling and troubleshooting Cloud Native infrastructure, including Infrastructure as CodeHave strong programming skills in Go or PythonPrefer contributing to Open Source solutions rather than building solutions from the ground upAre self-directed and adaptable, and excel at identifying and solving key problemsDraw motivation from building systems that help others be more productiveSee mentorship, knowledge transfer, and review as essential prerequisites for a healthy teamHave excellent communication skills and thrive in fast-paced environmentsBonus qualifications:You've previously worked with ML training infrastructure and GPU workloads and have familiarity with RDMA networkingYou have expertise to support and troubleshoot low level Linux systemsYou have experience collaborating with research teams or machine learning engineersIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!About the RoleWe're looking for a Data Scientist to build and scale Opus's data capabilities. This role sits at the crossroads of data engineering, applied data science, and product strategy. You'll lead high-impact projects across growth, CRM, customer experience, payments, web tracking, experimentation, and LLM-driven analytics—working closely with cross-functional partners to drive measurable business outcomes.This is a hands-on role: you'll define data vision, architectural systems, and roll up your sleeves to build pipelines, models, and advanced analyses that power Opus's growth.ResponsibilitiesData Engineering & InfrastructureDesign, implement, and maintain robust pipelines across multiple sources, including GCS, MongoDB, and third-party SaaS platforms.Ensure scalable ingestion, transformation, and governance of structured and unstructured data.Applied Data Science & AnalyticsLead advanced analyses across growth, CRM/CX, payment flows, and web tracking.Build marketing attribution models to measure ROI and optimize spend.Analyze user lifecycle and retention patterns, including churn risk, reactivation triggers, and CLV.Develop predictive models on user behavior to power personalization and recommendations.Create user segmentation and tagging frameworks to enable targeted engagement strategies.Evaluate CX metrics (NPS, CSAT, support efficiency) to inform product and ops improvements.Establish best practices in A/B testing and post-experiment evaluation.Prior experience in these areas is highly valued.Experimentation & InsightsPartner with product and business teams to design experiments and interpret results.Drive rigor in experiment design, metric selection, and causal inference.Leadership & StrategyDefine the data science roadmap / priority and align it with company goal.Mentor and grow a scrappy, high-performing team of data engineers and analysts.Act as a thought partner across GTM and BD initiatives, enabling data-driven decisions.RequirementsExperience3~5 years of experience in data-related roles, with a strong individual contributor (IC) backgroundProven track record of leading projects end-to-end in a fast-paced, high-ownership environment.EducationBachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering, or related).Master's degree preferred, though not strictly required, if compensated by strong industry experience.Technical ExpertiseStrong proficiency in Python and SQL, with hands-on experience across the data lifecycle.Experience with the modern data stack (BigQuery, dbt, Superset, Statsig).Solid data engineering skills with cloud storage (e.g., GCS), NoSQL databases (e.g., MongoDB), and SaaS integrations.Familiarity with workflow orchestration (e.g., Airflow) to automate and manage pipelines.Mastery of working in notebooks (e.g., Jupyter, Databricks), comfortable digging into raw data repositories and producing reproducible analyses.Familiar with LLM and agent workflows, curious and eager to push the frontier.Strong end-to-end development skills: from data ingestion and cleaning through modeling, analysis, deployment, and monitoring.Analytical ExcellenceDeep experience in A/B testing, experimentation platforms, and post-experiment analysis.Strong statistical intuition with the ability to translate results into actionable insights.Domain ExperienceExposure to CRM/CX, payments, web tracking, and user data.Experience building data products that support BD and customer-facing use cases.Leadership & CollaborationAbility to balance hands-on execution with strategic leadership.Experience in fast-paced startup environments, collaborating with product, engineering, and GTM teams.Nice to HaveExperience with ML in production, including deployment and monitoring.Interest in building and experimenting with data-driven agents, including prototyping agentic workflows.Familiarity with reinforcement learning and experimentation frameworks, ideally with human-in-the-loop (HITL) evaluation.Working knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines for LLM-powered applications.EEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.Role at a Glance Our Forward Deployed Engineers are not support engineers, they’re builders. This is not your typical software engineering role. We are on the ground, shoulder to shoulder with our clients - whether it's working on predictive maintenance on US Navy ships, aiding the Air Force or sitting in on a boiler inspection - we are the first line of defense in solving these hard hitting problems. We are not afraid to pick up new technologies and will use whatever tool we have in our toolbox to create change. When our priorities shift, we shift with them. We don’t just speak to our clients about their problems, we travel (often) to their sites to see first hand what they are experiencing. We are impact makers - game changers. We are leveraging data and insight from team members across Gecko to build the best possible solution for our clients. Are you ready to join us?Technologies We UsePython, JavaScript, ReactGoogle Cloud, Amazon Web ServicesWhat you will doSolve Real Problems: We search for the highest impact problems we can find, we spend a lot of time with our customers to understand their true nature, we come up with new ways, and we don’t quit until we’ve reached impact. Growth: The problems we work on are hard. No one has yet solved them. We are constantly learning and trying - and that includes learning about ourselves. We are a group who loves to grow - even if it requires hard work to do so.About YouBachelor’s degree in fields such as Computer Science, Computer Engineering Mathematics, Software Engineering, Physics, Mechanical Engineering, Electrical Engineering, or relevant experience. Familiarity with data structures, storage systems, cloud infrastructure, front-end frameworks, and other technical tools.Understanding of how technical decisions impact the user of what you’re building.Proficiency with programming languages such as Java, C++, Python, JavaScript, or similar languages.Ability to work effectively in teams of technical and non-technical individuals.Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.Willingness and interest to travel as needed up to 50%.Who We AreAt Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health and wellness support, ongoing professional development, family planning assistance, and flexible paid time off. Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.  We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.

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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.At n8n, we’re always excited to connect with exceptional product managers and product designers who are passionate about building intuitive, powerful, and user-centric experiences.This Product & Design Talent Pool is not for a specific open role but it’s a way for us to stay in touch with talented professionals who could be a strong fit for future opportunities in Product Management, Product Design, and UX Research. And yes, we do check this regularly. We’re particularly interested in connecting with past founders, relatively technical profiles, and AI optimists who want to push the boundaries of what’s possible in workflow automation.What You’ll BringExtensive experience driving product vision, strategy, and execution, ideally in fast-growing environments.A strong product sense and design craft, with a proven ability to balance user needs and business impact.You use AI daily in your work as a PM and you know how to codeComfort working across functions, aligning teams, and turning complex challenges into simple, elegant solutions.A curious, data-informed mindset with the creativity to imagine new possibilities.Enthusiasm for emerging technologies, especially automation and AI-driven innovation.What We ValueA product-first mindset rooted in empathy for users.Former founders & Entrepreneurs.Curiosity about workflow automation, orchestration, and the future of AI.Ownership and adaptability in fast-changing contexts.Forward-thinking creativity and optimism about what technology can enable.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup.  Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months.As a Cohere Research Intern, you will:Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc.Disseminate your research results through the production of publications, datasets, and code.Contribute to research initiatives that have practical applications in Cohere’s product development. You may be a good fit if you:Are currently pursuing, or in the process of obtaining, a PhD in Machine Learning, NLP, Artificial Intelligence, or a related discipline. We will also consider exceptional non-PhD candidates.Are eligible for work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout the internship period. Have experience using large-scale distributed training strategies, data annotation and evaluation pipelines, or implementing state of the art ML models.Are familiar with autoregressive sequence models, such as Transformers.Have strong communication and problem-solving skills with the ability to convey complex research findings clearly and succinctly. Have knowledge, or are knowledgeable, of programming languages such as Python, C, C++, Lua, or related languages.Have knowledge of related ML frameworks such as JAX, Pytorch and Tensorflow.Have previous experience in building systems based on machine learning and deep learning techniques. Demonstrate passion for applied NLP models and products.Preferred Qualifications: Demonstrated expertise through publications in top tier venues in fields such as machine learning, NLP, artificial intelligence, computer vision, optimization, computer science, statistics, applied mathematics, or data science. Proven ability to tackle analytical problems using quantitative methodologies. Proficiency in handling and analysing complex, high-dimensional data from various sources.Experience in applying theoretical and empirical research to real-world problem-solving.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs Senior Corporate Counsel, you will serve as a trusted advisor to product, engineering, and security teams, embedding legal and compliance frameworks into our product lifecycle. You will deliver practical, business-oriented guidance that supports innovation while ensuring compliance with healthcare, privacy, and other regulatory requirements. This is an opportunity to be at the forefront of AI in healthcare.What You’ll DoServe as product counsel, partnering across the engineering, product, and security teams to support product design, development, and deployment.Provide actionable legal guidance on regulatory, privacy, and compliance matters, including HIPAA, CCPA/CPRA, and the evolving AI/ML landscape.Advise on healthcare regulatory compliance, including FDA, FTC, fraud and abuse (FCA, AKS), and related state laws.Partner with other cross-functional teams including policy, partner experience, marketing, IT, finance, corporate development, and commercial to ensure alignment and mitigate risk.Support privacy impact assessments, compliance risk assessments, and data governance efforts and frameworks.Coordinate with external counsel to resolve specialist issues and ensure fast delivery of actionable legal guidance and risk analysis.Monitor emerging regulations around AI, data use, and healthcare technology and advise internal stakeholders on their implications.What You’ll BringPassion for Abridge’s mission and the energy and drive to support a fast-moving product and operational teams8+ years of legal experience, including 4+ years in product counseling. Prior in-house, government, or law firm experience focused on healthcare is a requirement.Strong understanding of and experience with federal and state healthcare laws, including HIPAA and data privacy regulationsExperience with FDA, FTC, FCA and fraud, waste, and abuse laws.Proven ability to communicate and translate complex regulatory and legal concepts into clear, practical guidance for non-legal counterparts and colleagues.Comfort and confidence with juggling a high volume of projects, tight timelines, and competing priorities.Demonstrated ability to work independently and exercise business judgement; interest in joining a small team that prioritizes autonomy and trust.Proven ability to work cross-functionally, particularly with technical teams, designers, and commercial teams, building relationships and earning their confidence.Creativity in solving and navigating novel legal matters; experience in crafting new processes and language to meet the needs of a rapidly-moving enterprise in a novel industry.Bonus Points If…Expertise in intellectual property, AI, interoperability, or technology lawFamiliarity with recent trends in artificial intelligence, particularly with large language models and responsible AI principlesPrior in-house experience (bonus points if at a growth-stage or healthcare technology company)This role is a remote position, but preference in either San Francisco or New York City.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About LorikeetLorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD 50m from leading VCs and angel investors, including QED, Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).Our global customers include:The largest telehealth company in Australia,The largest bank for teens in the US,One of the largest NFT marketplaces by trading volumeOne of the largest Web3 gaming companies… and a handful of other enterprise customers with over 1 million support tickets a year.What’s unique about this opportunity?Technical founders and an engineering-led culture. Most at Lorikeet write code. Everyone at Lorikeet owns working with our users and building a great product for them. Engineers will take ownership of challenging problems and define and implement solutions.Warm, mature, in-person, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We value working together in office as the default in our (quite nice!) Surry Hills office. Folks on the team have young families, so we embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.High pay, high expectations, high performance. We’re building a small, great team. Engineers are generally underpaid in Sydney and under compensated with equity. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team get the same monthly updates we send to our investors because they’re investors and owners too.On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilites and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in. Knowledge of that stack is nice, but we know good engineers will pick up new languages.No nonsense recruitment process. The process is: 1) informal chats with Steve and Jamie to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!About the role and youYou'll be building a powerful project that is truly innovating the world of customer support. Together we'll be defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs.We'd love to speak with you ifYou are excited by working with a top caliber team tackling the aboveYou have 2-5 years of experience shipping code at a startup or larger company with high standardsYou're looking for a career-defining change to grow rapidly with a fast growing companyIf you don't quite match this and are from and under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences..

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Your New Role and TeamSanctuary, a world leader in building AI-based control systems for humanoid robots, is seeking a Staff Research Scientist to join our team in engineering and innovating unique robotic manipulation tasks. As a Staff Research Scientist, your role will involve choosing the most cutting-edge methods, creating training and data collection systems, overseeing the evaluation of these algorithms in simulated environments, and implementing them on our robots in real-world situations. You will also enjoy the exclusive chance to make a meaningful impact by working with novel haptic and proprioceptive sensing techniques, thanks to our in-house robot with dexterous hands. Success CriteriaCreate, develop, and enhance cutting-edge Reinforcement Learning (RL) and Imitation Learning (IL) algorithms and evaluate their performance in practical applicationsStay current with the latest developments in RL/IL techniques and their application in roboticsIdentify, communicate, and lead research initiatives that show promise to the wider ML teamDiscover strategies for enhancing current RL/IL learning processes, considering key performance metrics like sample efficiency, speed, computational resources, and scalabilityDevise RL/IL training and data collection pipelines to expedite implementation on physical robotsCollaborate within a diverse team to devise innovative algorithms and investigate the root causes of errors in existing implementations Your ExperienceQualificationsPh.D. in Machine Learning, Computer Science, Applied Mathematics, or equivalent practical background in Reinforcement Learning and/or Imitation Learning 5+ years of hands-on experience implementing and deploying robotic manipulation tasks, both in simulation and on physical robots5+ years of practical experience applying various Reinforcement Learning and/or Imitation Learning methods, with focus on robotics in the real world4+ years experience in developing and optimizing large-batch parallel simulations for Reinforcement LearningProven expertise in continual learning, employing adaptive model training to improve long-term performance and accuracyProven expertise in sim-to-real transferExperience in transitioning Machine Learning research and trained models into real-world productionActive involvement in integrating Machine Learning models into a robotics platformA track record of publishing research in esteemed AI conferences such as ICRA, IROS and CORL SkillsDevelopment with Python 3.8 or laterWorking knowledge of PyTorch and/or TensorFlowFamiliarity with ROS2Expertise in use of Reinforcement Learning principles and their applicationExperience with Atlassian tools; Jira, Confluence, or equivalent i.e. GitLab TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problemsStrong leadership skills in organizing R&D work for ML projectsEager to take on new challenges with tenacity and positivityPatience, persistence, and attention to detail when resolving performance issuesEnthusiasm for bringing human-like intelligence to machinesAbility to drive development of new functionalities from concept to productionAbility to multitask and prioritize in a fast paced environment

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As a Software Engineering Specialist on the Human Data team, you'll create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with technical staff. You'll support xAI's mission by teaching AI models about human interactions, reactions, and problem-solving approaches through labeling and annotating data in text, voice, and video formats. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. Tasks may involve gathering or providing data, such as recording audio or video sessions, with which candidates must be comfortable to drive innovation. Responsibilities AI model training initiatives by curating code examples, offering precise solutions, and meticulous corrections in Python, JavaScript (including ReactJS), C/C++, Java,  Rust and Go. The Back-End Specialist will focus on any and all Enterprise aspects, as listed in ‘Required Qualifications’ section. Evaluate and refine AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. Collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks. Required Qualifications 5+ years of professional back-end development experience. Proficient in multiple server-side languages (Python, Node.js). Strong experience designing and implementing RESTful APIs and GraphQL endpoints. Hands-on experience with both relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases. Understanding of database optimization, indexing strategies and query performance. Deep understanding of web security principles, including authentication, authorization and data protection. Experience with asynchronous processing and background job systems. Experience with testing frameworks for unit, integration and end-to-end testing. Preferred Qualifications The ideal candidate for this role is adaptable, possesses strong logical reasoning skills, is detail-oriented, and thrives in a fast-paced work environment. Experience with containerization technologies (Docker). Familiarity with front-end technologies (TypeScript, React) to enable effective cross-functional collaboration. Location, Hourly & Other Expectations US-based candidates cannot be hired in Wyoming or Illinois at this time. Visa sponsorship is not available. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training, and 9:00am - 5:30pm in their own timezone thereafter. For remote positions, candidates should have a reliable high-speed internet connection, along with a functioning camera and microphone for seamless participation in virtual meetings. Interview Process After submitting your application, our team will review your CV and statement of exceptional work. If your application advances, you will be invited to a 15-minute phone interview to discuss basic qualifications. Successful candidates will proceed to the main process, which includes: Technical deep-dive: Discussing your legal and compliance expertise and data annotation experience. A take-home challenge focused on legal or compliance data labeling or analysis. A meet-and-greet with the wider team. Our goal is to complete the main interview process within one week. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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About the TeamWe bring OpenAI's technology to the world through products like ChatGPT.We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe are looking for a self-starter engineer who loves building new products in an iterative and fast-moving environment. In this role, you will be bringing our large language models to millions of users around the world. Our users include everyday enthusiasts as well as professionals for ChatGPT, and everyone from hobbyists to large enterprises for the OpenAI API — you’ll interface directly with users to develop the features they want most! You will also collaborate closely with the research teams that created the core models and work with them on continual improvement. You will be a key part of the effort to push these technologies forward, and onto the next 100x users. In this role, you will:Own the development of new customer-facing ChatGPT features and product experiences end-to-endTalk to users to understand their problems and design solutions to address themWork with the research team to get relevant feedback and iterate on their latest modelsCollaborate with a cross-functional team of engineers, researchers, product managers, designers, and operations folks to create cutting-edge productsOptimize applications for speed and scaleYour background looks something like:5+ years of relevant engineering experience at tech and product-driven companiesProficiency with JavaScript, React, and other web technologiesProficiency with some backend language (we use Python)Some experience with relational databases like Postgres/MySQLInterest in AI/ML (direct experience not required)Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesAbout 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.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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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The AI orchestration of your wildest imagination.n8n is the open AI workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.About the Leadership Talent PoolAt n8n, we’re always excited to connect with exceptional leaders who are passionate about building, scaling, and empowering teams to achieve ambitious goals. This Leadership Talent Pool is not for a specific open role—it’s a way for us to stay in touch with high-impact professionals who could be a strong fit for future leadership opportunities across our global teams.Whether your expertise lies in GTM, Product, Engineering, Operations, or People, we’d love to hear from you.What You’ll BringProven track record of leading and developing high-performing teams, in a fast-growing environment.Ability to set strategic direction, translate it into actionable goals, and drive execution.Strong communicator who builds trust and alignment across functions and cultures.Data-informed mindset, with the ability to balance analytical thinking and creativity in decision-making.Passion for building inclusive, empowering, and high-accountability team cultures.Experience scaling processes, org structures, and talent systems during growth or transformation phases.What We ValueA leadership style rooted in empathy, transparency, and ownership.Curiosity about automation, workflow orchestration, and AI-driven innovation.A commitment to impact over ego: you care deeply about results, but even more about how they’re achieved.Comfort with ambiguity, adaptability, and a proactive approach to problem-solving.Why Join the Talent PoolBy joining the n8n Leadership Talent Pool, you’ll stay on our radar for future Director, Head of, or VP-level opportunities as we continue to grow. If your background aligns with an upcoming role, our team will reach out directly to start the conversation.n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Comprehensive medical (PPO 1200), dental, and vision plans.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Short-term & long-term disability insurance, life & AD&D coverage, and additional hospital coverage.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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About UsHippocratic AI has developed the only safe, safety-focused Large Language Model (LLM) for healthcare, resulting in the only autonomous patient-facing clinical agents in the industry. We are delivering abundance for the first time in healthcare by bringing deep clinical expertise to every human. No other technology has the potential to have this level of global impact on health. Come join the most capitalized healthcare AI company with the most deployed customers and the broadest platform of applications. Our highly mission-oriented team, coupled with innovative partners like the Cleveland Clinic, Baylor Scott & White, Northwestern, Wellspan, HCA, and Oschner, is building the most transformative company in healthcare in history.Why Join Our TeamInnovative mission: We are creating a safe, healthcare-focused LLM that can transform health outcomes on a global scale.Visionary leadership: Hippocratic AI was co-founded by CEO Munjal Shah alongside physicians, hospital administrators, healthcare professionals, and AI researchers from top institutions, including El Camino Health, Johns Hopkins, Washington University in St. Louis, Stanford, Google, Meta, Microsoft, and NVIDIA.Strategic investors: We have raised a total of $278 million in funding, backed by top investors such as Andreessen Horowitz, General Catalyst, Kleiner Perkins, NVIDIA’s NVentures, Premji Invest, SV Angel, and six health systems.Team and expertise: We are working with top experts in healthcare and artificial intelligence to ensure the safety and efficacy of our technology.For more information, visit www.HippocraticAI.com.Role OverviewWe are looking for an experienced Strategic Account Executive located in the Southern Region to serve as an AI strategic advisor to Hippocratic AI’s partners, support superior management of the partnership, and align strategic objectives to AI-driven transformation. You will partner with our Chief Growth Officer to exponentially expand our value delivery through partnership expansion. The ideal candidate has extensive experience selling complex enterprise software solutions in healthcare, excels in navigating the intricacies of these organizations, builds close c-suite relationships, and thrives in a dynamic, fast-paced environment. You will be the face of Hippocratic AI in the market and pivotal in building relationships with key executive stakeholders, managing complex relationships and sales cycles, and expanding the impact of Hippocratic AI service to patients and members.ResponsibilitiesOwn the full partnership cycle: onboarding, building strategic relationships with C-suite executives, identifying new opportunities, negotiating, and contracting with assigned accountsDevelop and execute a strategic account plan to meet and exceed revenue targets, leveraging your deep understanding of your customers’ organizations and decision-making processes.Work collaboratively with leadership, customer success, clinical and technical experts, and colleagues to support your customers’ most pressing problems..Navigate long sales cycles with multiple decision-makers, ensuring timely and effective follow-up at every stage.Stay informed about industry trends, competitive offerings, and the evolving needs of healthcare organizations to position Hippocratic AI effectively.Partner with internal teams, including Marketing, Product, and Customer Success, to align strategies and deliver seamless client experiences.Demonstrate knowledge of critical operational and clinical metrics & processes, and how they impact provider decision-making and technology adoption.Must Haves:10+ years of proven success in enterprise sales, with a minimum of 5+ years selling SaaS solutions in healthcare.A proven track record of customer retention and account growthWillingness and ability to travel 50%+ for client meetings, presentations, and industry events.Familiarity with EHR systems and healthcare operations.Ability to work in a fast-paced environment and meet tight deadlines.Possesses excellent analytical skills, problem-solving skills, and decision-making skillsPublic speaking or presentation expertise, with the ability to command a room and articulate complex solutions effectively.A bachelor’s degree is required.Nice to Haves:Experience working in a startup or high-growth environment.Experience selling AI-powered solutions or other cutting-edge healthcare technology.An MBA or other advanced degree.

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V7At V7, we’re building AI platforms that help humans do their best work, at incredible scale and speed. Our mission is to turn human knowledge into trustworthy AI, making complex tasks faster, smarter, and more accurate.We’re growing fast, backed by leading investors and AI pioneers (including the minds behind Transformers and Gemini). V7 turns human knowledge into trustworthy AI, powering products that solve our hardest problems. Our platform lets customers build no-code AI workflows that solve knowledge work with V7 Go, and leverage expert humans to improve frontier AI model knowledge with V7 Darwin.V7 were recently ranked No 1 in Sifted’s top B2B companies for 2024 and raised a $33m Series V7 Go is the flagship document processing and workflow automation platform featuring specialized AI agents for finance, insurance, legal, and real estate. V7 Darwin is the computer vision data labelling platform for training custom AI models. About the roleThe Services Project Manager is responsible for the successful planning, execution, and completion of projects according to scope, time, and budget. This role requires a strong understanding of project management methodologies, as well as the ability to lead and motivate teams to achieve project objectives. Communication, and management of data, to all stakeholders is critical. What you'll be doingUnderstand and agree client requirements to create detailed project plans, and track progressNegotiate and conclude commercial agreements with clients and third-parties for optimal revenue growth.Assist the account management team with uncovering new projectsManage multiple projects simultaneouslyUse appropriate project management tools to monitor and control project progressManage project resources effectivelyHire a flexible workforce across multiple disciplines, give and monitor clear instructions, and ensure payment is accurate and timelyIdentify and manage project risksEstablish and maintain relationships with clients and stakeholders at all levels of the hierarchyEnsure project deliverables meet high quality standards whilst managing project budget and ensure profitabilityCoordinate internal resources and third-party vendors for the flawless execution of projectsPrepare regular project reports for internal team members and management, that support regular catch-upsProvide leadership and motivation to project teamsEffectively communicate project expectations to team members and stakeholders in a timely and clear fashionIdentify and resolve issues and conflicts within the project teamDevelop best practices and AI tooling for project execution and continuous improvementWho you are5+ years proven experience as a Project Manager in a services lead or SaaS businessStrong leadership skillsExcellent client facing and internal communication and interpersonal skillsAbility to manage multiple projects simultaneouslyStrong organizational and time management skillsProficiency in project management software (e.g., MS Project, Asana, Trello)Bachelor's degree in Business Administration, Project Management, or related fieldProficient with modern project management software (we use ClickUp and HubSpot)You're fluent in English (second language a benefit)Experienced in managing AI projects would be nice to have, but a keen interest in working within the AI industry is super importantV7 champions equality and inclusion because diverse teams build better products. Don't check every box? Apply anyway — we value what makes you unique and will support you through the process, just let our Talent team know how they can help.

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About Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewWe are looking for a Staff Data Scientist who can set the foundation for data science at Harvey. We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles. You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities. As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions.What You'll DoConduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact.Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes.Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making.Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization.Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners.Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling.Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business.Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey. What You Have5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organizationProven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground upStrong communication skills, with the ability to effectively partner with product managers, engineers, and executivesStrategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business directionBonusEarly employee at a hyper-growth startupExperience with or knowledge of AI and LLMsExperience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir)Compensation Range$180,000 - $225,000 USDPlease find our CA applicant privacy notice here.#LI-CL1Harvey 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 Mistral At Mistral we are on a mission to democratize AI, producing frontier intelligence for everyone, developed in the open, and built by engineers all over the world. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation, with teams distributed between Europe, the USA and Asia. We are creative, low-ego and team-spirited. At Mistral, we develop models for the enterprise and for consumers, focusing on delivering systems which can really change the way in which businesses operate and which can integrate into our daily lives. All while releasing frontier models open-source, for everyone to try and benefit. Mistral is hiring experts in the training of large language models and distributed systems. Join us to be part of a pioneering company shaping the future of AI. What will you do • Research and develop novel methods to push the frontier of large language models• Work across use cases (e.g reasoning, code, agents) and modalities (e.g text, image and speech)• Build tooling and infrastructure to allow training, evaluation and analysis of AI models at scale• Work cross-functionally with other scientists, engineers and product teams to ship AI systems which have a real-world impact About you • You are a highly proficient software engineer in at least one programming language (Python or other, e.g. Rust, Go, Java)• You have hands-on experience with AI frameworks (e.g. PyTorch, JAX) or distributed systems (e.g. Ray, Kubernetes)• You have high engineering competence. This means being able to design complex software and make it usable in production• You are a self-starter, autonomous and a team player Now, it would be ideal if • You have hands-on experience with training large transformer models in a distributed fashion• You are able to navigate the full MLOps stack, for instance, fine-tuning, evaluation and deployment • You have a strong publication record in a relevant scientific domain Note that this is not an exhaustive or necessary list of requirements. Please consider applying if you believe you have the skills to contribute to Mistral's mission. We value profile and experience diversity. Benefits 💰 Competitive cash salary and equity🥕 Food : Monthly meal allowance🥎 Sport : Monthly contribution to a Gympass subscription💰 Private pension plan

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About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About the RoleWe’re seeking an AI Due Diligence Principal to lead engagements with private equity sponsors and investors — evaluating assets through the lens of AI-driven opportunities. This role sits at the intersection of advanced AI technology, investment strategy, and value creation.You will lead diligence processes end-to-end, serve as a trusted advisor to investors, and partner closely with Brain Co.’s engineering and product teams to deliver actionable recommendations and high-impact AI solutions for sponsor-backed companies. This role is designed for an operator who combines deep strategic experience with technical literacy, commercial instinct, and the ability to drive results in high-stakes environments.Key ResponsibilitiesLead AI Diligence: Evaluate target companies’ AI strategies, data infrastructure, and technical maturity. Identify opportunities, risks, and areas for value creation, distilling findings into clear, business-oriented insights.Sponsor & Client Management: Serve as the primary partner for private equity and corporate sponsors. Build long-term trust, align on scope, deliver findings with conviction, and ensure client satisfaction.Bridge Strategy & Technology: Translate complex AI/ML capabilities into actionable recommendations for investment committees, portfolio executives, and Brain Co. stakeholders.Deliver Value Creation Plans: Work with engineering and product leaders to scope, prioritize, and implement AI solutions within sponsor-backed assets — ensuring commercial outcomes and technical feasibility.Drive Execution: Own diligence engagements from scoping through delivery, ensuring excellence in both strategic analysis and operational outcomes. What We’re Looking ForExperience12–15+ years of professional experience.Background in top-tier consulting PE groups (McKinsey, Bain, BCG) and/or direct private equity investing.Startup operating experience required; demonstrated ability to execute and scale in high-growth environments.Proven track record of leading complex diligence processes with material investment and operational outcomes. Skills & AttributesStrong technical literacy in AI/ML, with the ability to evaluate data pipelines, model strategies, and infrastructure at a high level.Exceptional problem-solving and analytical skills; ability to turn complex analyses into clear insights.Executive-level communication; proven ability to influence senior sponsors, investors, and portfolio executives.Low-ego, hands-on operator who thrives in ambiguous, fast-paced environments.Commercial instinct and ownership mindset — capable of connecting AI opportunities directly to value creation.Must be in SF or willing to relocate (hybrid 3 days/week in office) Why Join UsShape how AI drives investment decisions across industries, working directly with leading sponsors and portfolio executives.Be part of an applied AI company tackling some of the world’s most consequential challenges.Collaborate with industry veterans and world-class investors.Earn competitive compensation + meaningful equity.Thrive in a culture built on speed, curiosity, and impact. If you want to sit at the frontier of AI and private equity — and deliver tangible results at global scale — Brain Co. is the place to build.

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About UsTavus is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations. AI Humans combine the emotional intelligence of humans with the reach and reliability of machines, making them capable, trusted agents available 24/7, in every language, on our terms.Imagine a therapist anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. With Tavus, individuals, enterprises, and developers can all build AI Humans to connect, understand, and act with empathy at scale.We’re a Series A company backed by world-class investors including Sequoia Capital, Y Combinator, and Scale Venture Partners.Be part of shaping a future where humans and machines truly understand each other.The Role We’re hiring a Senior AI Researcher to lead foundational research at the intersection of multimodal modeling and conversational AI. You'll build multimodal models that model interactions between the user and the human like avatar to predict/control the audio/visual/language responses of the avatar. This isn’t a role for someone who just wants to follow the roadmap. You’ll help create it by steering our technical direction and shaping what the next generation of AI Human avatars looks like.Your Mission 🚀Lead research on Foundational Multimodal Models for Conversational Avatars — systems that can perceive, reason, and generate across video, audio, and language.Build and train models using Autoregressive, Predictive (e.g., V-JEPA), and Diffusion-based architectures with a deep focus on temporal and sequential data (not static frames).Design and execute experiments to predict and control the visual, auditory, and linguistic responses of avatars.Partner with the Applied ML team to bring research into real-world use cases.Mentor other researchers and drive excellence across the team.You’ll Bring:A PhD plus 2–3+ years working hands-on with LLMs, VLMs, or multimodal systems.Previous experience leading research efforts or mentoring teams.Expertise in sequence modeling across video, audio, and text — with strong understanding of autoregressive, predictive, and diffusion frameworks.Experience with large-scale model training and optimization for performance and real-time generation.Proven ability to translate research ideas into production-grade systems.Publications in top-tier venues (CVPR, ICCV, NeurIPS, ECCV, ACMMM).Strong PyTorch skills and comfort moving fluidly between research and engineering.Nice-to-HavesBroad familiarity with generative AI paradigms and foundation models.Comfort working across the full research–to–deployment stack.A builder’s mindset: eager to experiment, iterate, and ship.Location Preferred: San Francisco (hybrid) or London (office opening soon). Remote within the U.S. or Europe available for exceptional candidates.Benefits & CultureWhen you join Tavus, you’re joining a diverse and supportive team. Our work is driven by our people, and our success is shared by all. This position has a flexible work schedule, unlimited PTO, competitive healthcare, and gear stipends, as well as plenty of fun. At the end of the day, we want Tavus to be a place for you to learn, directly drive impact, and work with a team you love.Tavus is growing fast, and we’d like you to grow with us. If you’re excited to get your hands dirty and help make machines more human, drop your resume and we’ll be in touch.We are not looking for cultural fits, we are looking for culture creators. Diversity is what drives our success – it’s at the core of how we hire, communicate, and work. We are inclusive to all and combine our diverse backgrounds, skill sets, and perspectives to build the best experiences for our clients.