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Updated 14 Nov 2026, 15:40 UTC

People Operations Specialist

Negotiable

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters. About the Role Our People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours. This is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations. Location/City: San Francisco, CA — in office 5 days per week. What You'll Do - Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished. - Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience. - Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us. - Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice. - Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires. - Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking. What You'll Bring - Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred). - Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits. - Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice. - AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought. - White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion. - Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it. - Operating Principles: You exemplify our operating principles . Nice to Have - Experience standing up or rebuilding an onboarding program, not just running an existing one - Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent) - Global onboarding exposure - Experience with LangSmith, Claude, or a similar tools Annual salary range: $100,000 – $110,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

👤 HumanFull-timeMid

By LangChainSep 17, 2026

Strategic Account Executive, Tech

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you’ll drive adoption of safe, frontier AI by securing strategic deals with top enterprises, unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you: - 7-10+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach - A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups - Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders - Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $450,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicSep 10, 2026

Head of Accounting Policy

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is growing quickly, and the transactions we enter into are often unlike anything the accounting literature directly contemplates. We're hiring a senior leader to own accounting policy and technical accounting. In this role, you will be the company's authority on how we account for what we do: usage-based and enterprise revenue arrangements, large compute and infrastructure transactions, complex financing and equity instruments, and M&A and investment activity. You'll build the technical accounting function from a strong foundation into one that operates at public-company grade — establishing the whitepaper and position-memo discipline that lets us take well-supported positions on novel, first-of-kind transactions, defend them with our external auditors (including their national office), and be ready for public-company-grade reporting when the company needs it. This is a high-judgment, high-trust role. You'll work closely with the Controller and CFO organization, Legal, Tax, and deal teams across the company, and you'll often be the first accountant in the room when a new kind of transaction is being designed. Key responsibilities - Own the company's accounting policy framework: establish, document, and maintain US GAAP accounting policies across all significant areas, and keep them current as the business and the standards evolve - Serve as the lead technical advisor on novel and first-of-kind transactions, including usage-based and enterprise revenue arrangements (ASC 606), large compute and infrastructure commitments, complex financing and equity instruments, and M&A and investments - Build and institutionalize a whitepaper and position-memo discipline: rigorous, well-cited technical memos that document the company's accounting conclusions and stand up to auditor and regulator scrutiny - Lead technical discussions with our external auditors and SEC, including engagement on complex or unsettled issues, and drive timely resolution of technical matters - Prepare the company for public-company-grade external reporting: SEC-style financial statements, disclosures, and the supporting close and reporting processes and controls - Monitor, assess, and lead adoption of new FASB standards and SEC rules, including impact assessments, implementation plans, and cross-functional execution - Partner with Legal, Tax, FP&A, and business and deal teams early in transaction design, so accounting consequences are understood — and where appropriate, shaped — before deals are signed - Advise on equity, financing, and capital-markets transactions, including the accounting for complex instruments and arrangements - Lead, and develop a high-caliber technical accounting and accounting policy team as the function scales - Support reporting to company leadership and the Audit Committee on significant accounting positions, judgments, and estimates - Help design and strengthen controls over complex-area accounting in support of a SOX-ready control environment - Represent the company externally where useful, including in comment letters and engagement with standard setters and industry groups Minimum qualifications - Active CPA license - Public accounting tenure at a top firm that reached at least Director, Managing Director, or Partner — or national office Senior Manager selected into the SEC's Professional Accounting Fellow program - Deep US GAAP expertise and strong command of SEC reporting requirements - Experience leading a technical accounting and/or accounting policy function at a high-growth technology company - Demonstrated ability to research, conclude, and document positions on complex and novel accounting issues, and to defend them with external auditors - Excellent written and verbal communication, including the ability to explain complex accounting matters to non-accountants and senior leadership Preferred qualifications - 15+ years of combined experience across public accounting and industry - Service at the US Securities and Exchange Commission — in particular, the Office of the Chief Accountant's Professional Accounting Fellow (PAF) program (an approximately two-year fellowship), or comparable senior SEC staff roles such as Associate Chief Accountant in the Office of the Chief Accountant or senior roles in the Division of Corporation Finance - FASB, EITF, or other standard-setting exposure (task force membership, fellowships, or substantive comment-letter and liaison work) - Public speaking on technical accounting topics, such as remarks at the AICPA Conference on Current SEC and PCAOB Developments or similar venues - National office experience at a major firm (accounting standards, accounting consultation, or professional practice groups) - Experience preparing a private company for public-company-grade reporting The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicSep 9, 2026

Negotiable

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 10 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world’s leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: - Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies. - Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions. - End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure. - Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation. - Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product. - Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design. - Leadership Growth: This role offers a unique opportunity to lead critical projects, shape our engineering culture, and accelerate your career growth in the rapidly evolving field of Generative AI. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: - At least 4 years of relevant experience is preferred - Proven track record of shipping high-quality products and features at scale. - Strong problem-solving skills and the ability to work independently or as part of a collaborative team. - Desire to thrive in a fast-paced, dynamic environment. - Ability to turn business and product ideas into engineering solutions. - Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. - Ability to adapt quickly to the ever-changing world of generative AI. Preferred Qualifications: - Experience with large-scale data processing and distributed systems. - Familiarity with machine learning and AI concepts. - Experience working directly with enterprise customers. - Experience with cloud-based infrastructure. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

👤 HumanFull-timeSenior

By Scale AIApr 3, 2025

Applied AI Architect, Beneficial Deployments (Life...

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor. About the Role We're looking for an Applied AI Architect to join Beneficial Deployments, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem, from early discovery in academia to paradigm-shifting biotech to reimagining pharma pipelines. This role combines technical expertise with deep relationship-building. You'll be the primary technical advisor for our life sciences partners, including flagship research institutions like The Howard Hughes Medical Institute (HHMI) and The Allen Institute. You'll drive engagements from discovery through deployment, working closely with the life sciences segment lead and Applied AI Engineers to deliver impact. This role will be part of the founding Beneficial Deployments Applied AI team focused on bringing life sciences closer to the frontier. Responsibilities - Serve as the primary technical advisor to life sciences research institutions and mission-driven organizations throughout their Claude adoption journey. Partner with the segment lead to understand scientific workflows end-to-end and translate them into impactful solutions from discovery through deployment. - Transform partners into AI-native organizations through Claude Code and Claude Science enablements and research and business process evolution, so they can operate more effectively and build for where AI capabilities are headed. - Design and lead cohort-based accelerators to scale our expertise and impact across multiple institutions at once. Identify what's actually hard about deploying AI in life sciences and feed those findings back to product, engineering, and research. - Spot patterns across partners to inform what we build at the ecosystem level, including MCP servers for domain-specific data sources, scientifically grounded benchmarks and evals, and reusable agent skills. - Create technical presentations, demos, and scalable content (documentation, tutorials, sample code) so what works for one institution can scale globally without the same level of hand-holding. - Travel occasionally to partner sites for workshops, technical deep dives, and relationship building. - Help shape team processes and culture as we scale from 1 to N. You Might Be a Good Fit If You Have - 8+ years in a technical role, ideally with customer-facing exposure (Solutions Architect, Customer Engineer, Sales Engineer, Technical Account Manager, Product Engineer, Forward Deployed Engineer) - Experience in life sciences, biomedical research, or scientific computing. Bonus if you've worked in genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. - Experience working in or building trust with academic research institutions, biotech, pharma, or other mission-driven scientific organizations, and an understanding of their unique challenges and constraints - Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks - A love of teaching, mentoring, and helping others succeed - A scrappy mentality: comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £165,000 - £190,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicSep 9, 2026

Senior AI Researcher

Negotiable

Your work will change lives. Including your own. The Impact You’ll Make: Human biology stems from four billion years of evolution, which creates a proliferation of complexity and heterogeneity. The combinatorial explosion of biological hypotheses easily surpasses the number of atoms in the universe. Meanwhile, medical discovery advances at the snail pace of clinical trials, each taking years and costing over $100 million. As we enter the era of precision health and try to tailor treatments for each individual, continuing on today's discovery processes is clearly unsustainable. With the confluence of digital transformation and intelligence revolution, we have an unprecedented opportunity to develop a unifying biomedical world model by bridging virtual patient and virtual cell, and turning real-world data into a discovery engine to close the loop of clinical care and drug discovery. As a Senior AI Researcher, you will join our cross-functional team of top-notch scientists, engineers, and drug hunters in the quest of scalable biomedical discovery. You will work at the forefront of AI-powered drug discovery, advancing frontier research and end-to-end applications across discovery, design, and translation. The Team You’ll Join: Recursion is a pioneer in AI-native drug discovery. In the past decade, we have built an unparalleled array of infrastructures across drug discovery and clinical development, operating one of the largest AI compute clusters in biopharma, and spearheading industrial-scale phenomics for perturbation data generation at cellular resolution, long before "virtual cell" entered the mainstream. United under the mission of “decoding biology to radically improve lives”, we offer a unique vibrant environment that features frontier research, industrialized wet and dry labs, and real-world delivery, with close feedback loops and rapid iterations, much like a lean startup. You will join fellow experts across research and engineering, biology and medicine, business and operation, who are similarly committed to accelerating biomedical discovery and democratizing precision health for everyone in the globe. The Experience You Will Need: - PhD in ML, NLP, computer vision, or the equivalent practical experience - Passionate about real-world applications and impact - Strong verbal and writing communication skills - 3+ years of frontier AI research experience - Experience with large datasets and cross-functional AI projects - Experience in biomedicine and drug discovery a plus; willingness to learn a must! LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.

👤 HumanFull-timeRemoteSenior

By RecursionSep 9, 2026

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: The Safeguards ML Inference Path team designs, builds, and operates the production infrastructure that powers Claude's ML based safety systems. We collaborate closely with safety researchers and inference engineers to bring new classifiers and novel classes of ML defenses to production. We own the research → production transfer of new safety technologies that is on the critical path for every Claude model launch. And we build for scale: serving thousands of ML classifiers, for all requests on the token generation path, and for every platform Claude runs on -- 1P, Bedrock, Vertex, and beyond. We’re growing the team and looking for engineers who have deep expertise in productionizing ML systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. And your tooling and infrastructure will be used for every model launch, which are becoming more complex, and more frequent. Responsibilities: - Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem - Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications - Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems - Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards - Implement automated testing, deployment, and rollback systems for ML models in production safety applications - Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs - Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: - Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX - Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads - Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently - Have implemented A/B testing frameworks and experimentation infrastructure for ML systems - Are results-oriented, with a bias towards reliability and impact in safety-critical systems - Enjoy collaborating with researchers and translating cutting-edge research into production systems - Care deeply about AI safety and the societal impacts of your work Strong candidates may also have experience with: - Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment - Working with large language models and modern transformer architectures - Developing monitoring and alerting systems for ML model performance and data drift - Experience in trust & safety, fraud prevention, or content moderation domains - Knowledge of privacy-preserving ML techniques and compliance requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeExpert / Staff+

By AnthropicSep 9, 2026

Staff Product Engineer, Enterprise AI

Negotiable

Negotiable

About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role As an Enterprise Success Manager at Mistral, you own what happens to our most strategic enterprise accounts after the build: you make deployed AI stick in real workflows, keep production ARR healthy, defend renewals, and source the expansion signals Sales closes. Mistral's Solutions teams create high-value AI use cases with our customers. Your job is to make those investments successful beyond delivery — adopting what has been built, operating it with confidence, measuring its business impact, and scaling value across the organization. You will work with customer sponsors, business teams, IT and security stakeholders, and across Mistral with Solutions, Product, Engineering and Support. This is not a high-volume, ticket-queue customer success role. Portfolios are small and deep. It calls for a strategic account mindset, the technical judgment to navigate complex deployment environments, and the energy to build the customer success function as Mistral grows. You will join on one of two tracks (and can move between them): - Adoption track — embedded in flagship transformations while Solutions is still delivering. You own the adoption and change-management motion around the build: user waves, enablement, champions, training programs, and the measurement that proves value is landing. - Operational track — you take accounts through a structured handover once Solutions completes delivery, and own the run phase end-to-end: operational health, value realization, renewals, and expansion signals. In both tracks you operate in close partnership with Solutions: they deliver and hand over; you own post-handover; they re-engage on expansion signals. Occasionally, account teams will also pull you into late-stage pre-sales — authoring the customer training and scale-up plan that gives a buyer confidence in the rollout, a motion already credited in a major European win. What you will do Own the customer success and value plan - Build a clear view of each account's objectives, stakeholders, deployed use cases, commitments and risks. Translate it into a shared success plan with owners, milestones and measurable outcomes. - Establish a practical operating cadence with customer sponsors, business owners, IT and delivery teams. Lead success reviews that make progress, risks, decisions and next steps clear. - Define a baseline and track the outcomes that matter for each use case: adoption and usage against entitled seats, customer satisfaction, operational health and business impact. Turn the evidence into a clear value narrative. Make deployment realities part of the success plan - Understand how each customer's deployment model — on-premises, VPC or serverless — affects the products and use cases they can access, operate and scale. Validate the specifics with the technical teams rather than assuming feature parity or identical operating models. - Identify the practical implications of deployment choices: security and data requirements, access and integrations, release and upgrade cadence, available features, capacity, observability and support processes. Explain the trade-offs clearly to customer and Mistral stakeholders. - Translate those constraints into an actionable adoption plan: align enablement and release communications with the version the customer actually runs, account for security approvals and upgrade windows, and agree how to measure usage when telemetry is limited. - Spot risks early, qualify their impact on adoption, renewal or value, and coordinate the right Solutions, Product, Engineering or Support owners to resolve them. Set clear expectations without making unvalidated technical or roadmap commitments. Drive adoption, autonomy and sustained value - Help customer teams move from a delivered use case to regular, effective use. Identify the users, workflows and change-management needs that determine whether it sticks. - Coordinate onboarding, training, product updates and hands-on enablement with the right Mistral and customer teams. Develop customer champions and train-the-trainer motions so adoption scales beyond direct Mistral involvement. - Prepare the transition from delivery to run: clarify operational ownership, support and escalation paths, and the resources users need to succeed independently. - Monitor adoption and customer health, investigate where usage or value is falling short, and lead a coordinated plan to address the causes. Defend and grow the commercial relationship - Own the renewal motion for your accounts: know every renewal date, the auto vs non-auto renewal terms, and the risk story behind each one. Run the renewal play early — no surprises at renewal time. - Track and improve account NRR. Identify new use cases, teams and expansion opportunities, and share them with the account team grounded in demonstrated value. - Lead business reviews with the account team: value delivered, risks owned, decisions needed, roadmap asks. Bring the customer voice into Mistral - Gather and qualify feedback from users, technical teams and sponsors. Distinguish enablement needs from product gaps, deployment constraints and support issues, and route each to the right owner. - Track important requests and communicate progress and limitations back to the customer, while Product and Engineering retain ownership of product and technical decisions. Build the company as well as the account - Create the playbooks, success plans, handover practices and measurement approaches that are missing. Test them with customers, improve them, and make them reusable across accounts. - Bring structure to ambiguity: identify what needs to happen, make a plan, mobilize the right people and follow through — without waiting for a perfect process or detailed instructions. - Roughly a fifth of your time is protected, rotating build time for exactly this work; it is part of the job, not extra to it. What We're Looking For - 5+ years of experience in customer-facing roles, such as Customer Success, Delivery/Implementation, or Solutions Consulting, ideally in a technical AI or SaaS environment. - Experience owning outcomes for enterprise customers of technical products or deployed solutions — adoption and commercial outcomes (retention, renewal, expansion), not relationship management or activity reporting. - Strong technical fluency in enterprise deployment models. You can identify what a deployment type (on-premises, VPC, serverless) means for available features, telemetry, upgrades and security reviews, and you validate specifics with technical teams instead of assuming parity. - Ability to engage credibly with architects, engineers, IT and security teams, while translating technical trade-offs into clear business implications for executives and users. You know when to bring in a deeper technical expert. - Strong ownership and builder energy. You have created structure or improved a process in an ambiguous, fast-moving environment and are motivated to build a company, not wait for clear directions. - Excellent communication, stakeholder management and execution skills. You align teams without formal authority, surface risks early and drive decisions through to completion. - Analytical and commercially minded: you can define meaningful success metrics, assess customer health, and are comfortable carrying renewal and NRR accountability. - Fluent English; professional French strongly preferred (a significant share of our enterprise base is French-speaking). Nice to have - Experience with AI, machine learning, data platforms or complex enterprise software, including production deployments in regulated or security-sensitive environments. - Experience working alongside deployment, engineering or professional services teams on custom use cases, and the transition from implementation to ongoing operation. - Experience building adoption, change-management or customer education programs across large organizations. - Experience at a forward-deployed, solutions-led company. What We Offer We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .

👤 HumanFull-timeMid

By Mistral AIOct 30, 2026

Solution Operations Manager, Value Realization

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value realization across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers. WHAT YOU WILL DO Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value realization. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working. WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-timeMid

By Mistral AISep 7, 2026

Senior ABM & Campaign Manager

Negotiable

About the role We're hiring a Senior ABM & Campaign Manager to join our Demand Generation team. You'll own our account-based programs and the integrated campaigns that reach AI-native and digital-native companies running inference at scale. That means designing and executing campaigns from first touch to pipeline across content, digital, and the account-based experience, then shaping how we measure what works as we grow. Responsibilities - Build and own bespoke ABM programs for our top accounts, partnering with Sales on account tiering, buying group mapping, and the plays that drive marketing activation and air cover. - Design and run integrated campaigns across paid media, email, content syndication, webinars, gifting, and meeting-maker programs, connecting them into cohesive journeys rather than standalone tactics. - Partner with Field Marketing and Events on pre-event account targeting and warm-up, digital amplification, and post-event retargeting. - Develop campaign architecture, messaging, and creative across the customer journey in partnership with Product Marketing, Brand, Design, and Content, keeping positioning consistent across every campaign touchpoint. - Run continuous testing and experimentation across channels — from ad creative and landing pages to targeting and channel mix — to improve conversion and pause what isn't working. - Work with RevOps as the business owner of our demand gen and ABM stack, influencing what to evaluate, buy, or build in-house with AI tooling. - Own account penetration and pipeline contribution against new logo goals, managing campaign performance and building the reporting framework that defines what success looks like. Requirements - 6+ years in B2B demand generation, campaigns, or ABM, preferably at SaaS or AI-native/digital-first companies, with experience marketing to technical decision makers and practitioners across engineering, IT, or cybersecurity. - Proven track record building and scaling integrated campaigns across digital, events, content, and account-based channels, including where process didn't exist yet. - Deep ABM expertise across account tiering, buying group mapping, intent data, orchestration, and measurement. - Experience working with digital agencies across paid social and search. - Marketing automation and campaign operations fluency (Marketo, HubSpot, or similar) with an understanding of lead lifecycle management. - Data-driven, comfortable working in reporting tools like Hex or Tableau to interpret campaign performance and communicate it clearly to stakeholders. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $190K - $225K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .

👤 HumanFull-timeSenior

By Together AISep 8, 2026

Partner Manager GSI SEUR

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. This is a high-impact role offering exceptional exposure to the European market, focusing on Southern Europe (France, Belgium, Luxembourg, Iberia) and the opportunity to shape our partnership program from the ground up. You will work closely with Partnership & GTM leadership, Partner Solution Architects, and cross-functional teams to drive breakthrough co-sell motions, co-solutions, and joint go-to-market initiatives with strategic and regional partners. This is a critical hybrid responsibility: Partner management across Europe for Strategic Partners + building regional-flavored partnerships to set up the foundations for future success. In this role, you’ll report directly to the Europe GSI Director and will have functional accountability to our VP Southern Europe, playing a vital role in co-defining and executing our regional go-to-market strategy. WHAT YOU WILL DO STRATEGY & ARCHITECTURE - Architect and execute the GSI partner ecosystem model across Southern Europe, establishing high-value frameworks that align enterprise strategic goals with scalable revenue models. - Define and institutionalize multi-year strategic roadmaps with major German Systems Integrators to accelerate co-selling motions, technical alignment, and joint pipeline expansion. - Drive ecosystem vision and governance, orchestrating financial growth targets, technical solutions integration, and transformative co-marketing programs. COMMERCIAL VELOCITY - Spearhead regional partner-led revenue generation, surpassing growth targets through systematic joint deal acceleration and high-impact GTM execution. - Establish executive alignment and field resolution standards across partner networks to maximize strategic velocity and eliminate friction in large enterprise deals. - Build comprehensive performance insights and analytical models to track partnership health, ROI, and long-term ecosystem value creation. - Scale SI delivery capabilities through specialized enablement programs, ensuring partners become force multipliers for Mistral AI enterprise deployment. ECOSYSTEM INTERLOCK - Embed robust co-sell engagement rules, attribution frameworks, and deal registration workflows across the Southern Europe GTM organization to drive Tier 1 opportunity conversion. - Champion cross-functional collaboration across Solution Architects, Enablement, Marketing, and Product teams to champion seamless partnership delivery and pipeline maturity. - Lead Monthly Business Reviews and executive synchronization cadences with Southern Europe regional leadership to sustain strategic alignment. - Provide strategic feedback loops to product and engineering leadership, aligning model evolution and deployment architectures with Southern Europe enterprise needs. ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: Our HQ is based in Paris, so Paris-based is preferred. Expect some travels to Europe. Experience: 10+ years, proven GSI/AE track record and experience You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the Southern Europe technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: French, English fluent. Spanish would be a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-timeSenior

By Mistral AISep 8, 2026

Partner Manager GSI NEUR

Negotiable

ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. 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. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. This is a high-impact role offering exceptional exposure to the European market, focusing on Northern Europe (UKI & Nordics) and the opportunity to shape our partnership program from the ground up. You will work closely with Partnership & GTM leadership, Partner Solution Architects, and cross-functional teams to drive breakthrough co-sell motions, co-solutions, and joint go-to-market initiatives with strategic and regional partners. This is a critical hybrid responsibility: Partner management across Europe for Strategic Partners + building regional-flavored partnerships to set up the foundations for future success. In this role, you’ll report directly to the Europe GSI Director and will have functional accountability to our VP Northern Europe, playing a vital role in co-defining and executing our regional go-to-market strategy. WHAT YOU WILL DO STRATEGY & ARCHITECTURE - Architect and execute the GSI partner ecosystem model across Northern Europe, establishing high-value frameworks that align enterprise strategic goals with scalable revenue models. - Define and institutionalize multi-year strategic roadmaps with major German Systems Integrators to accelerate co-selling motions, technical alignment, and joint pipeline expansion. - Drive ecosystem vision and governance, orchestrating financial growth targets, technical solutions integration, and transformative co-marketing programs. COMMERCIAL VELOCITY - Spearhead regional partner-led revenue generation, surpassing growth targets through systematic joint deal acceleration and high-impact GTM execution. - Establish executive alignment and field resolution standards across partner networks to maximize strategic velocity and eliminate friction in large enterprise deals. - Build comprehensive performance insights and analytical models to track partnership health, ROI, and long-term ecosystem value creation. - Scale SI delivery capabilities through specialized enablement programs, ensuring partners become force multipliers for Mistral AI enterprise deployment. ECOSYSTEM INTERLOCK - Embed robust co-sell engagement rules, attribution frameworks, and deal registration workflows across the Northern Europe GTM organization to drive Tier 1 opportunity conversion. - Champion cross-functional collaboration across Solution Architects, Enablement, Marketing, and Product teams to champion seamless partnership delivery and pipeline maturity. - Lead Monthly Business Reviews and executive synchronization cadences with Northern Europe regional leadership to sustain strategic alignment. - Provide strategic feedback loops to product and engineering leadership, aligning model evolution and deployment architectures with Northern Europe enterprise needs. ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: London preferred. We’ve offices in London. Expect travels to Nordics (like Sweden, Denmark) & to our HQ based in Paris. Experience: 10+ years, proven GSI/AE track record and experience You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the Northern Europe technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: English. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

👤 HumanFull-timeSenior

By Mistral AISep 8, 2026

Account Executive, Startups

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: - Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns - Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge - Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience - Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: - 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets - Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions - Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed - Exposure to negotiating complex, customized commercial agreements with multiple stakeholders - Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment - Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player - Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities - Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €155.000 - €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicSep 7, 2026

Enterprise Account Executive (US - West)

Negotiable

ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role - Full Sales Lifecycle: Manage the end-to-end sales process - from initial outreach and lead qualification to complex contract negotiations and closing. - Territory Strategy: Develop and execute a strategic plan to penetrate key industries (Finance, E-commerce, Healthcare, etc.) within the region. - Solution Selling: Conduct deep discovery to understand prospect pain points and demonstrate how Weaviate’s vector search and AI features provide a competitive edge. - Community Engagement: Work closely with our Developer Relations and Marketing teams to leverage our massive open-source community as a source of enterprise opportunities. - Pipeline Management: Maintain accurate forecasts and CRM records (Salesforce/HubSpot) to ensure predictable revenue growth. What we are looking for - Experience: 4+ years of B2B SaaS sales experience, preferably in infrastructure, databases, or AI/ML. - US (West) Expertise: Proven track record of hitting and exceeding quotas within the US West Coast market, including familiarity with regional procurement and legal nuances. - Technical Fluency: You do not need to be a developer, but you should be able to comfortably discuss APIs, LLMs, vector embeddings, and cloud architecture (AWS/GCP/Azure). - Communication: Exceptional verbal and written communication skills in English. - Mindset: A 'builder' mentality. You thrive in the ambiguity of a fast-growing startup and enjoy creating your own playbooks. - Training in sales methodologies (e.g., MEDDIC, SPIN, Challenger) is highly desirable. - Quick learner with high emotional intelligence (EQ) and the ability to influence key stakeholders. - Passionate about advancing your career in enterprise sales and deepening your knowledge of our products. - Aligned with our company values and culture. WHAT WE OFFER - 100% remote with flexible work hours. - Competitive compensation, including paid time off https://weaviate.io/company/playbook/taking-time-off-at-weaviate. - Budget available to spend on going to conferences, co-working space, home office equipment, etc. - Work with very experienced and fun team members. - An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. - You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page https://weaviate.io/company/careers#interview-process to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

👤 HumanFull-timeMid

By WeaviateSep 7, 2026

Forward Deployed Engineer (Inference & Post-Traini...

Negotiable

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Responsibilities - Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile - Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. - Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. - Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. - Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. - Product Feedback Loop: Directly influence our software and model roadmap by surfacing insights from the field. Contribute back to the product where needed to support customer requirements or drive a better experience. Drive early feature and research adoption with strategic logos. Qualifications - Experience: 5+ years in a technical role, with a strong focus on inference systems, open-source LLM deployment, or post-training workflows. - Inference Engine Depth: Expert-level, hands-on experience with inference engines (e.g., vLLM, TensorRT-LLM, SGLang); ability to diagnose and resolve performance issues at the engine level. - Inference Optimization: Deep knowledge of KV cache tuning, speculative decoding, tensor parallelism, pipeline parallelism, and quantization techniques - Post-Training Knowledge: Hands-on experience with fine-tuning and post-training pipelines, including LoRA, SFT, DPO, RLHF, and GRPO; ability to advise on system design - Model Landscape Awareness: Broad knowledge of state-of-the-art open-source models and strong judgment on model selection for specific customer use cases, hardware profiles, and performance targets. - Coding Proficiency: Strong Python skills; comfortable working in production environments About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $270,000 - $300,000 OTE + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our Privacy Policy at https://www.together.ai/privacy

👤 HumanFull-timeSenior

By Together AIMay 7, 2026

Data Scientist

Negotiable

👤 HumanFull-timeMid

By Mistral AIJul 8, 2026

Applied AI Architect

Negotiable

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives across Australia to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers across Australia throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences across Australia. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers across Australia integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

👤 HumanFull-timeSenior

By AnthropicFeb 12, 2026

Solutions Architect, Metronome (AI Native)

Negotiable

About Us Metronome is the leading usage-based billing platform built for modern software companies. With Metronome, now a Stripe product, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes hundreds of millions of invoices per billing period and continues to scale rapidly to accommodate new customers. We save them days of development time and manual invoicing, enabling them to use their billing data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, Anthropic, NVIDIA, TogetherAI, HuggingFace, and many others. You'll be joining an experienced team that includes founders who have successfully built and sold startups before. Our Stripes have direct experience building and scaling teams through massive growth at companies like Dropbox, Palantir, and MongoDB. You'll be joining Stripe and be part of the holistic Stripe platform approaching monetization. About the Role The Metronome AI Native Solutions team operates at the intersection of technical sales, implementation, and customer success, purpose-built for the velocity and unique needs of AI-first companies. Unlike traditional sales engineering roles, this position owns the large parts of if not all of the deal cycle - from first call through technical win - and gets hands-on with implementation to ensure customers go live quickly. As an AI Native Solutions Architect, you'll be the primary technical owner for fast-moving AI companies that may need to launch usage-based billing on tight timelines. This means: Owning the technical win: - Taking qualified inbound leads and driving them through discovery, demo, POC, and technical win - Using efficient discovery to quickly understand billing challenges, product launch timelines, and technical requirements - Bringing energy and urgency to every engagement—proactively driving deals forward, identifying blockers early, and building relationships across the customer organization (engineering, finance, product) to create champions - Running streamlined demos tailored to technical founders and product/engineering teams Driving hands-on implementation: - Providing customers with clear, actionable implementation plans to implement their usage-based billing launches - Writing code snippets, configuration examples, and integration guides to accelerate customer time-to-value - Pair programming or working alongside customer teams during POCs and initial setup - Designing up/downstream integrations into prospect systems with a bias toward pragmatic solutions that get them live quickly Building deep AI market expertise: - Building relationships with technical founders, engineering leaders, product, and finance teams at AI companies - Understanding the unique monetization challenges facing LLM providers, generative AI companies (image, video, audio), and AI tooling/wrapper companies and providing consultative guidance when prospects need direction on pricing and packaging strategy and implementation - Staying current on AI industry trends, pricing models, and competitive dynamics This role is perfect for someone who thrives in high-velocity environments, loves solving technical problems in real-time, and wants to be on the front lines of how AI companies monetize their products. Metronome directly influences how the next generation of AI infrastructure gets built—and our AI Native Solutions team drives this influence with our fastest-growing customer segment. The Metronome team still operates very much like a startup. As such, there's a lot still to figure out and tremendous room for high-agency, curious individuals to impact our direction and strategy, build processes from zero to one, and generally make a difference. If this excites you as much as it excites us, let's talk. Qualifications This is roughly the set of things we’re looking for - if you’re interested in this role and don’t meet some of these on paper, err on the side of applying! - 3+ years of experience in technical, customer-facing roles involving SaaS products (for example, sales engineering, solutions architecture, technical account management, implementation consulting) - 1+ years of experience working with, at, or selling to AI companies - you understand how AI-first companies operate, their unique challenges, and the market landscape - Proven ability to own and drive customer-facing engagements and relationships independently - Strong technical aptitude with the ability to quickly learn new systems, write code snippets, and guide technical implementations - Experience working in high-velocity environments where speed-to-value matters and customers need to launch quickly - Excellent communication skills with technical buyers (engineers, product managers, technical founders) Bonus Points - Deep knowledge of the quote-to-cash space, including integrating with or otherwise interacting with tools like Salesforce, NetSuite, CPQs, etc. - Experience as a software engineer, product manager, or in other technical roles. - Experience in a pure sales role, particularly selling to technical buyers in engineering and product organizations or selling as a founding or early salesperson at a startup. - Familiarity and enthusiasm for AI developer tooling (Cursor, Lovable, Vercel, LangChain, etc.) and the broader AI infrastructure ecosystem

👤 HumanFull-timeMid

By StripeSep 8, 2026

Applied Science Intern

Negotiable

As an Applied Science Intern, you will join a cross-functional team of engineers and applied scientists building AI-powered features within the Datadog platform. You will contribute to both existing and new products by improving machine learning models, developing new AI capabilities, and helping bring research into production. Working closely with engineering and product partners, you'll gain hands-on experience deploying AI systems at scale while strengthening your product mindset, collaboration, and communication skills. You'll also have opportunities to contribute to cutting-edge research that directly powers customer-facing features. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: - Design solutions for AI use cases by researching and benchmarking state-of-the-art models to identify the best approach - Build highly scalable product features using generative AI, machine learning algorithms, and statistical techniques - Contribute to the development, deployment, monitoring, and maintenance of production AI models, services, and infrastructure - Explore, analyze, and derive insights from the large-scale observability data flowing through Datadog systems - Participate in technical knowledge sharing by presenting recent academic research and investigating emerging model architectures to improve existing and future products - Collaborate with engineering and product teams to productionize AI solutions and deliver customer-facing features Who You Are: - You will graduate in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field - You have experience building machine learning models through coursework, research, internships, or personal projects - You have strong programming skills and are eager to learn new languages and technologies - You communicate complex technical concepts clearly to both technical and non-technical audiences - You have a strong interest in artificial intelligence, machine learning, and data-driven product development - Available to complete a 6-month internship beginning in February, March, April, May, or June 2027 (we are unable to accommodate internships starting at any other time) Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: - Work on meaningful technical challenges alongside engineers across the globe - Participate in mentorship and buddy programs designed to support learning and development - Join an in-person intern cohort, attend company social events, and engage with Datadog Community Guilds and employee resource groups throughout the internship - Receive relocation support and travel benefits where applicable - Enjoy office perks including snacks, drinks, and catered lunches on Monday, Wednesday, and Friday Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Please ensure that you submit your CV/resume in English. If possible, please apply using your personal email address instead of your university email address. Students can sign up for a free Datadog Pro account to learn more about our platform and products. LI-Hybrid About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .

👤 HumanContractEntry

By DatadogSep 8, 2026

Senior Customer Engineer, LATAM - MCR Bogotá, Colo...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Customer Engineer- Bogotá, Colombia. About the Role Cloudflare is on a mission to help build a better Internet. As enterprise solutions become more complex, Cloudflare is evolving how they partner with customers. The Customer Engineer (CE) drives the technical go-to-market strategy. You act as a trusted advisor who owns the technical relationship from first discovery to long-term adoption and account growth. Team: GTM (Go-To-Market) organization Reports to: Regional Customer Engineering Leader Structure: You do not hand off customers after the initial sale. Role Type: Quota-carrying technologist using AI workflows to cut down on busywork and focus on high-value architecture. Key Responsibilities Technical Validation: Partner with Account Executives to lead technical discovery, build custom architectures, and run product demos and Proof of Concepts (PoCs) for Security, Networking, and Developer Platforms. Customer Adoption & Value Realization: Oversee technical onboarding and implementation. Serve as the main contact for the customer. Monitor health scores and telemetry to speed up time-to-value and fix bottlenecks. Commercial Accountability & Expansion: Carry a variable quota tied to new business and account growth. Lead technical Quarterly Business Reviews (QBRs) to show return on investment (ROI) to executives. Trusted Advisory: Maintain deep relationships with key stakeholders through every stage—onboarding, maturity, renewal, and expansion. AI Orchestration & Workflow Automation: Act as an AI-augmented engineer. Use AI agents to automate routine tasks like RFP responses, sandbox provisioning, and basic telemetry monitoring. Minimum Qualifications Experience: Background in a customer-facing technical role like Solutions Engineering or Sales Engineering (leveling varies by experience). Technical Acumen: Expertise in web security, networking (DNS, routing, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset: Track record in a quota-carrying or revenue role with knowledge of SaaS metrics and enterprise sales cycles. Communication: Strong presentation skills to bridge deep tech details with C-suite business strategy. Strongly Preferred Qualifications (Good-to-Haves) Cloudflare AI Stack Experience: Hands-on work with Cloudflare's developer platform and AI tools (Workers AI, AI Gateway, Vectorize) [15]. Applied AI Knowledge: Experience with prompt engineering, LLM orchestration, or RAG architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages for custom integration scripts and API connectors. Compensation Competitive base salary Variable commission structure tied to commercial targets, adoption milestones, and account expansion What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-timeSenior

By CloudflareSep 8, 2026

Senior Customer Engineer, LATAM - MCR (Santiago, C...

Negotiable

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Customer Engineer- Santiago, Chile. About the Role Cloudflare is on a mission to help build a better Internet. As enterprise solutions become more complex, Cloudflare is evolving how they partner with customers. The Customer Engineer (CE) drives the technical go-to-market strategy. You act as a trusted advisor who owns the technical relationship from first discovery to long-term adoption and account growth. Team: GTM (Go-To-Market) organization Reports to: Regional Customer Engineering Leader Structure: You do not hand off customers after the initial sale. Role Type: Quota-carrying technologist using AI workflows to cut down on busywork and focus on high-value architecture. Key Responsibilities Technical Validation: Partner with Account Executives to lead technical discovery, build custom architectures, and run product demos and Proof of Concepts (PoCs) for Security, Networking, and Developer Platforms. Customer Adoption & Value Realization: Oversee technical onboarding and implementation. Serve as the main contact for the customer. Monitor health scores and telemetry to speed up time-to-value and fix bottlenecks. Commercial Accountability & Expansion: Carry a variable quota tied to new business and account growth. Lead technical Quarterly Business Reviews (QBRs) to show return on investment (ROI) to executives. Trusted Advisory: Maintain deep relationships with key stakeholders through every stage—onboarding, maturity, renewal, and expansion. AI Orchestration & Workflow Automation: Act as an AI-augmented engineer. Use AI agents to automate routine tasks like RFP responses, sandbox provisioning, and basic telemetry monitoring. Minimum Qualifications Experience: Background in a customer-facing technical role like Solutions Engineering or Sales Engineering (leveling varies by experience). Technical Acumen: Expertise in web security, networking (DNS, routing, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset: Track record in a quota-carrying or revenue role with knowledge of SaaS metrics and enterprise sales cycles. Communication: Strong presentation skills to bridge deep tech details with C-suite business strategy. Strongly Preferred Qualifications (Good-to-Haves) Cloudflare AI Stack Experience: Hands-on work with Cloudflare's developer platform and AI tools (Workers AI, AI Gateway, Vectorize) [15]. Applied AI Knowledge: Experience with prompt engineering, LLM orchestration, or RAG architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages for custom integration scripts and API connectors. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

👤 HumanFull-timeSenior

By CloudflareSep 8, 2026

Manager, AI-Enabled Business insight

Negotiable

Manager, AI-Enabled Business insight at Organon. Femtech Insider network role. Industry tags: Community and Lifestyle, Drug Discovery, Drug Manufacturers - General, Health Care, Healthcare, Medical Device, MedTech, Other Healthcare Services, Pharma, Pharmaceutical Manufacturing, Pharmaceutical Preparations, Pharmaceuticals. Locations: Shanghai, China. Work mode: on site.

👤 HumanFull-timeMid

By OrganonSep 8, 2026

Product Manager (HR Technology) Intern

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. We're hiring a Product Manager Intern to join the HR Technology team within People Success and help drive key initiatives across our HR Technology ecosystem, from evaluating AI-powered tools to automating core processes and strengthening our security foundation. You'll ship real products, partnering with HR, IT, and Security stakeholders to design and deliver tools that transform how our employees work. You'll own projects end-to-end and gain hands-on experience on a team building an AI-native HR organization. What you'll do: - Own a product initiative from discovery to launch, including build vs. buy analysis, workflow redesign, or feature adoption for a new HR Technology tool - Partner with HR, IT, Security, and vendor teams to define requirements, gather user feedback, and align stakeholders on product priorities - Drive the evaluation and piloting of generative AI agents for HR teams, defining success metrics and tracking ROI for AI-powered tools - Map existing workflows, identify bottlenecks, and implement automated solutions using our HRIS, applicant tracking system, and enterprise collaboration platforms - Analyze product metrics and user data to measure impact, inform decisions, and communicate results to leadership Required Skills and Experience: - Currently pursuing a degree in Computer Science, Engineering, Management Information Systems, Business, Human-Computer Interaction, or a related field, or have equivalent experience - Demonstrated analytical and problem-solving ability, such as structuring ambiguous problems into clear action plans in academic projects, case competitions, or prior internships - Hands-on experience with AI tools, prompt engineering, or low-code/no-code platforms (e.g., building automated workflows, prototyping with LLM-based applications, or working with APIs) - Proven ability to manage a project from start to finish, including defining scope, tracking milestones, and delivering outcomes on deadline - History of proactively identifying problems and proposing solutions, such as surfacing process gaps, pitching improvements, or initiating projects without being asked, in academic, extracurricular, or professional settings - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Position ID: P78053 LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. Hourly Rate: $50 - $50 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

👤 HumanContractEntry

By CoinbaseSep 8, 2026

Machine Learning Engineer Intern

Negotiable

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . This is a 12-week internship during summer 2027. You'll join Coinbase's Machine Learning team and work alongside senior engineers building ML models and pipelines that make our platform more secure, personalize user experiences, and unlock new use cases for crypto. As an MLE intern, you'll take ownership of a research-to-production project, applying cutting-edge ML techniques to real-world problems at blockchain scale. What you'll do: - Develop, deploy, and operate machine learning models and pipelines at production scale - Drive an end-to-end research project applying modern ML techniques to solve a defined business problem - Partner with senior engineers and product teams to identify new ML applications for blockchain and crypto use cases - Present findings and recommendations to cross-functional stakeholders at the conclusion of your internship Required Skills and Experience: - Currently pursuing a Ph.D. with published or in-progress research in machine learning, deep learning, or a closely related field - Demonstrated proficiency building and training models using ML frameworks such as PyTorch or TensorFlow - Experience applying ML techniques including supervised learning, unsupervised learning, or reinforcement learning to structured or unstructured datasets - Familiarity with software engineering fundamentals including version control, testing, and writing production-quality Python code - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Req ID: P78143 LI-Hybrid Pay Transparency Notice: Depending on your work location, the target hourly rate for this position can range as detailed below. Hourly Rate: $60 - $60 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .

👤 HumanContractEntry

By CoinbaseSep 8, 2026

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