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Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is seeking a highly capable USA Regional Transportation Security Manager to lead the protection of high-value assets across all transportation operations in the United States. This role holds end-to-end ownership of in-transit supply chain security across the US, covering all transportation lanes, carrier operations, and last-mile delivery of critical infrastructure. You will be responsible for shaping and executing regional transportation security strategy, managing risk across a complex carrier and logistics network, and leading the response to in-transit security incidents. This is a high-impact role operating at the intersection of security, logistics, and operations, with direct influence on the resilience and integrity of Nebius’ infrastructure deployment across the US transportation network. Your responsibilities will include: Own and lead transportation security across the United States, with full accountability for regional in-transit risk and performance Serve as the primary authority and escalation point for all transportation security matters within the US Ensure the secure handling, packaging, and movement of high-value assets across all transportation nodes, from origin to final delivery Define, implement, and continuously evolve regional transportation security standards, controls, and procedures aligned with global policies Establish and enforce security requirements across transportation partners, including carriers, freight forwarders, and last-mile delivery providers Conduct risk assessments across transportation routes, handoff points, and carrier operations, and implement effective mitigation strategies Lead end-to-end response to in-transit security incidents (e.g., theft, loss, diversion, tampering), including coordination, investigation, and resolution Manage and oversee GPS tracking, geofencing, and real-time monitoring platforms across active shipments Drive continuous improvement of transportation security capabilities, including route security reviews, carrier vetting, and technology tools Monitor and report on regional transportation security performance, risks, and trends, providing clear and actionable insights Partner closely with the Global Transportation Security Manager, regional warehouse security, and infrastructure teams to ensure alignment and scalability Operational Scope Oversight of a geographically distributed US transportation network, including domestic and cross-border lanes Regular engagement with carriers, freight partners, and last-mile vendors across multiple tiers Travel within the United Statesrequired for route assessments, partner reviews, and incident response We expect you to have: Significant experience in transportation security,logistics security, or in-transit operational risk management Proven experience owning security or operations across a large geographic region (US experience strongly preferred) Strong experience working with transportation providers, including carriers, freight forwarders, and last-mile delivery partners Demonstrated experience leading incident response and managing complex in-transit security events Ability tooperate independently with a high degree of ownership and accountability Strong stakeholder management and communication skills across internal and external partners Analytical and structured approach to risk assessment and problem-solving Fluent English (spoken and written) It will be an added bonus if you have: Experience in high-value or critical infrastructure transportation (e.g., data centers, electronics, technology hardware) Background in law enforcement, military, or corporate security Familiarity with supply chain security technologies (e.g., GPS tracking, geofencing, real-time monitoring platforms) Familiarity with supply chain security (TAPA TSR) Experience working in a global organization with cross-regional coordination Operational Expectations This role includes responsibility for leading response to critical in-transit security incidents, which may occur outside standard working hours Operates within a global environment requiring coordination across multiple time zones Supported by the Global Transportation Security Manager and regional teams, with clear ownership of transportation security outcomes within the US region Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $134,000 — $167,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Newport, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes. This role will involve implementing and refining asset management processes, review logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales. This position is based on site in our Newport, South Wales location Your responsibilities will include: Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance. Implement asset management processes to track the full lifecycle of assets. Review and refine logistics/warehousing processes to identify areas for improvement. Set up and manage equipment certification processes to meet operational and regulatory requirements. Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems. Manage insurance for assets, including claims, renewals and risk mitigation strategies. Facilitate the sale and disposal of old assets in compliance with company policies and regulations. Collaborate with cross-functional teams to ensure seamless asset management and logistics operations. Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement. We expect you to have: 3-5 years of experience in logistics or logistics project management. Familiarity with logistics management systems, ERP software and asset-tracking tools. Strong project management skills with the ability to manage multiple tasks and priorities. Knowledge of logistics, warehouse operations and asset lifecycle management best practices. Strong attention to detail and organizational skills. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY 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's RL Data Platform team builds the systems that produce, move, and serve the human data Claude learns from: the interfaces humans use to give feedback, the pipelines that turn raw feedback into training signal, and the tooling researchers use to launch, monitor, and inspect data collection. Every RL run depends on a steady supply of high-quality data - human feedback, expert demonstrations, graded transcripts - and when a researcher has an idea for new data on Monday, our job is to make it collectable by Wednesday and in the training mix by Friday. This is a full-stack, ownership-heavy role on a small, senior team. You'll design and ship web interfaces used by thousands of expert annotators, build the backend services and data pipelines behind them, and work directly with RL researchers to understand what data they need and why. You'll scope your own projects, make architectural calls, and see them through to production. We're looking for engineers who treat researchers as their users, build for reliability first, and care as much about the shape of the data leaving the system as the UI going into it. Key responsibilities Design, build, and operate the feedback and data collection interfaces used by human annotators, domain experts, and internal researchers. Build and maintain the backend services, APIs, and pipelines that route model samples to humans and return structured feedback to training. Own the reliability, latency, and usability of systems that run continuously against live model endpoints. Partner with RL researchers to translate loosely specified data needs into well-scoped collection campaigns and the tooling to run them. Build dashboards, monitoring, and inspection tools so researchers can see data quality and throughput without asking an engineer. Identify and remove the bottlenecks between "we want this data" and "it's in the training mix". Minimum qualifications Strong full-stack engineering skills, with production experience in TypeScript/React on the frontend and Python on the backend. Experience designing and operating backend services and data pipelines that other teams depend on. A track record of owning projects end-to-end, from an ambiguous brief to something in production that people use. Comfort working directly with technical stakeholders whose needs change week to week, and the judgment to push back when something isn't worth building. Effective use of AI tools in your own day-to-day work. Care about the societal impacts of your work. Preferred qualifications Experience building annotation, labelling, evaluation, or other human-in-the-loop data tooling. Experience with RLHF, preference data, or other human-feedback pipelines for ML systems. Experience shipping researcher-facing or other expert-facing internal tools people love: interviewing users, hunting down friction, measurably improving the experience. Experience running experiments on data collection interfaces and using the results to improve data quality. Experience working with crowdworker or expert vendor platforms at scale. Familiarity with how LLMs are trained and evaluated. Representative projects Build an interface that lets a domain expert review a long agentic transcript, flag the step where things went wrong, and write a corrected continuation - with the result landing in a training-ready format. Rework the sampling path between our feedback interfaces and model endpoints to cut time-to-first-sample for annotators. Build a campaign launcher that lets a researcher stand up a new data collection effort (task, rubric, population, quality checks) without writing code. Instrument annotator behaviour to detect low-effort or adversarial work and surface it to the quality team automatically. Design the data model for a kind of feedback we haven't collected before, and ship the pipeline that gets it into the training mix. 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: $500,000 — $850,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Role Summary We're looking for a Senior Product Marketing Manager who is equal parts strategist, executor, and Web3 native — someone who proudly calls themselves a degen and is deep in the trenches of the ecosystem they're marketing to. This is a high-impact, generalist role that sits at the intersection of brand, growth, product marketing, and community. You crunch data for breakfast, thrive wearing multiple hats, and move fluidly between scrappy activations and long-horizon strategy without losing momentum or quality. You translate on-chain insights into compelling narratives that help millions understand and love Trust Wallet — and if you have strong opinions on L2 wars, a wallet full of on-chain history, and can ship a campaign brief and a Dune dashboard in the same afternoon, we want to talk What You'll Do - Develop and own integrated marketing strategies across acquisition, retention, and brand — aligned to product launches, ecosystem milestones, and market cycles - Lead end-to-end campaign execution across Web3-native channels and performance channels - Define positioning and messaging for new product features and market segments in partnership with Product and BD - Set, track, and report on marketing KPIs — DAUs, installs, retention rates, campaign ROAS, community growth, and share of voice - all leading to company level OKRs - Own budget allocation across channels with a relentless focus on efficiency and ROI - Drive community engagement strategies across Discord, Telegram, and X — building loyal user cohorts, not just follower counts - Identify and activate KOL/influencer partnerships that are credible within the Web3 ecosystem - Collaborate with BD and ecosystem partners on co-marketing campaigns and joint growth initiatives - Work closely with Product to shape go-to-market plans for new features, chain integrations, and partner launches - Partner with internal teams to produce high-quality creative that resonates with both crypto natives and mainstream users   What We're Looking For - 5 years of marketing experience, with at least 1 year in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred) - Demonstrable track record of owning and scaling multi-channel campaigns with measurable growth impact - Prior experience in a generalist or "full-stack" marketing role — able to move across brand, growth, content, and product marketing fluidly - You are the user: genuinely degen, active on-chain, with a wallet history and ecosystem network to prove it - Dune and Nansen are daily tabs; proficient in Amplitude and mobile attribution (AppsFlyer, Adjust, or Branch) - Treats every initiative as a testable experiment; hunts for signal, quick wins, and strategic bets in the numbers - Moves between a scrappy activation and a long-horizon strategic initiative in the same day without dropping quality   Bonus Points - Marketed a self-custody wallet or non-custodial product - Familiarity with Trust Wallet's ecosystem (multi-chain, Web3 Browser, Staking) - Prior work at a top-tier exchange (Binance, Coinbase, Kraken) or DeFi protocol - Experience running global marketing campaigns ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: London; Amsterdam 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 Staff AI Deployment Strategist, you will shape how some of the most ambitious enterprises in the UK & Nordics region adopt frontier AI at scale. This is a senior, high-impact role at the intersection of strategy, technology, and execution. You will work directly on Mistral’s most strategic opportunities and largest deliveries, helping customers move from ambition to measurable business outcomes. You will frame complex AI transformation programs, turn executive priorities into actionable roadmaps, and ensure that Mistral delivers systems that are valuable, scalable, and trusted. You will also act as a senior sponsor on our most critical customer programs, bringing judgment, structure, and delivery excellence to high-stakes engagements. Your mandate is to raise the ambition and quality of AI adoption: helping customers identify where AI can create step-change value, making the right trade-offs, and ensuring that execution matches the strategic promise. This role is ideal for an experienced strategy consultant, transformation leader, or senior operator who wants to move from advising on change to building it directly with frontier AI technology.   WHAT YOU WILL DO - Shape high-impact AI transformations - Partner closely with Mistral’s Sales leadership in the UK & Nordics to qualify opportunities, align on account strategy, and drive executive engagement. - Work with senior customer stakeholders to identify where frontier AI can create material business value. - Structure complex opportunities into clear, credible, and executable transformation programs. - Translate strategic ambition into delivery roadmaps, success metrics, and operating plans. - Help customers make the right trade-offs between ambition, feasibility, speed, and long-term scalability. - Sponsor Mistral’s most strategic deliveries - Act as a senior sponsor on the largest and most complex customer programs, primarily in the UK & Nordics and potentially cross-region as priorities evolve. - Ensure delivery quality, executive alignment, and measurable business impact. - Anticipate risks, unblock decisions, and help teams navigate ambiguity in high-stakes environments. - Bring senior judgment to moments where scope, resources, timelines, or expected value need to be clarified. - Build repeatable deployment excellence - Turn lessons from strategic engagements into reusable approaches, playbooks, and patterns. - Raise the bar for how AI programs are qualified, framed, delivered, and scaled. - Act as a senior relay for the Solutions organization in the region, helping teams adopt shared best practices, adapt them thoughtfully to local market specificities when needed, and strengthen the quality of execution. - Work hand in hand with Solutions leadership to connect customer realities, delivery patterns, and field feedback into practical ways of improving how Mistral deploys AI. - Help codify what great enterprise AI deployment looks like across industries and use cases. - Contribute to a Solutions culture that combines strategic clarity, technical depth, and strong execution. - Develop and multiply senior DS impact - Coach Deployment Strategists on strategic problem-solving, executive communication, and delivery leadership. - Help teams raise the quality of their work on the highest-impact opportunities. - Identify capability gaps and contribute to hiring, staffing, and development priorities. - Act as a force multiplier across accounts, teams, and regions where your experience can have the highest leverage.     WHAT WE'RE LOOKING FOR   You are a senior, highly capable professional with strong executive presence, excellent business judgment, and a track record of leading complex strategic or transformation work. Typical indicators we’re looking for include: - 8–10+ years of professional experience in strategy consulting, digital transformation, AI, enterprise technology, or a similarly demanding environment. - Experience operating at Partner, Principal, Engagement Manager, Director, or equivalent level in a top-tier strategy consulting or transformation context. - A strong ability to structure ambiguous problems, identify value, and turn strategy into execution. - Experience leading large accounts, complex programs, or senior customer relationships. - The credibility to engage with executives and C-level stakeholders on business priorities, trade-offs, and impact. - Strong analytical and commercial judgment, with the ability to challenge assumptions constructively. - Comfort working at the frontier of technology, even when solutions are evolving quickly and the path is not fully defined. - A low-ego, high-ownership mindset and a desire to build with customers and teams, not just advise from a distance. - Fluency in English; German is a strong plus.   Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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.

Location: Munich Workplace: OnSite 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 Staff AI Deployment Strategist, you will shape how some of the most ambitious enterprises in the DACH region adopt frontier AI at scale. This is a senior, high-impact role at the intersection of strategy, technology, and execution. You will work directly on Mistral’s most strategic opportunities and largest deliveries, helping customers move from ambition to measurable business outcomes. You will frame complex AI transformation programs, turn executive priorities into actionable roadmaps, and ensure that Mistral delivers systems that are valuable, scalable, and trusted. You will also act as a senior sponsor on our most critical customer programs, bringing judgment, structure, and delivery excellence to high-stakes engagements. Your mandate is to raise the ambition and quality of AI adoption: helping customers identify where AI can create step-change value, making the right trade-offs, and ensuring that execution matches the strategic promise. This role is ideal for an experienced strategy consultant, transformation leader, or senior operator who wants to move from advising on change to building it directly with frontier AI technology.   WHAT YOU WILL DO   - Shape high-impact AI transformations - Partner closely with Mistral’s Sales leadership in DACH to qualify opportunities, align on account strategy, and drive executive engagement. - Work with senior customer stakeholders to identify where frontier AI can create material business value. - Structure complex opportunities into clear, credible, and executable transformation programs. - Translate strategic ambition into delivery roadmaps, success metrics, and operating plans. - Help customers make the right trade-offs between ambition, feasibility, speed, and long-term scalability. - Sponsor Mistral’s most strategic deliveries - Act as a senior sponsor on the largest and most complex customer programs, primarily in DACH and potentially cross-region as priorities evolve. - Ensure delivery quality, executive alignment, and measurable business impact. - Anticipate risks, unblock decisions, and help teams navigate ambiguity in high-stakes environments. - Bring senior judgment to moments where scope, resources, timelines, or expected value need to be clarified. - Build repeatable deployment excellence - Turn lessons from strategic engagements into reusable approaches, playbooks, and patterns. - Raise the bar for how AI programs are qualified, framed, delivered, and scaled. - Act as a senior relay for the Solutions organization in the region, helping teams adopt shared best practices, adapt them thoughtfully to local market specificities when needed, and strengthen the quality of execution. - Work hand in hand with Solutions leadership to connect customer realities, delivery patterns, and field feedback into practical ways of improving how Mistral deploys AI. - Help codify what great enterprise AI deployment looks like across industries and use cases. - Contribute to a Solutions culture that combines strategic clarity, technical depth, and strong execution. - Develop and multiply senior DS impact - Coach Deployment Strategists on strategic problem-solving, executive communication, and delivery leadership. - Help teams raise the quality of their work on the highest-impact opportunities. - Identify capability gaps and contribute to hiring, staffing, and development priorities. - Act as a force multiplier across accounts, teams, and regions where your experience can have the highest leverage.     WHAT WE'RE LOOKING FOR   You are a senior, highly capable professional with strong executive presence, excellent business judgment, and a track record of leading complex strategic or transformation work. Typical indicators we’re looking for include: - 8 to 10+ years of professional experience in strategy consulting, digital transformation, AI, enterprise technology, or a similarly demanding environment. - Experience operating at Partner, Principal, Engagement Manager, Director, or equivalent level in a top-tier strategy consulting or transformation context. - A strong ability to structure ambiguous problems, identify value, and turn strategy into execution. - Experience leading large accounts, complex programs, or senior customer relationships. - The credibility to engage with executives and C-level stakeholders on business priorities, trade-offs, and impact. - Strong analytical and commercial judgment, with the ability to challenge assumptions constructively. - Comfort working at the frontier of technology, even when solutions are evolving quickly and the path is not fully defined. - A low-ego, high-ownership mindset and a desire to build with customers and teams, not just advise from a distance. - Fluency in English; German is a strong plus.   We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers.   Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🐼 WHO WE ARE You. Better. With Alan. Alan's vision is to make prevention the new norm of care for all. Our mission is to help people live in good health to 100 while helping employers feel proud, turning health benefits from a cost center into their most valuable investment. We're building a vertically integrated health partner that seamlessly unites insurance and smart healthcare delivery into one system. By connecting all aspects of care - private, public, and direct to consumer - we create the most member-centric healthcare experience. Through deep engagement, we empower everyone to overcome day-to-day health obstacles and live healthier lives. We partner with 35K+ companies of all sizes, serving more than 1M+ members, and have reached 770M+ in ARR. Our team of 700 people (still growing) operates across France 🇫🇷, Spain 🇪🇸 and Belgium 🇧🇪. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH You would join the team in charge of building smart products offering the most delightful and scalable Customer Service to 1M+ members. We have developed a team of AI agents that brings immediate and personalized answers to about 50% of member's questions. And when it is not enough, we seamlessly transfer the question to our care experts team. We build the cockpit for that handoff and the tooling for the humans who take over. It lets a care expert steer, correct, and supercharge the AI: routing requests, surfacing the right context at the right moment and drafting replies. The expert stays in command; the AI does the heavy lifting. ⚡ WHY THIS ROLE IS SPECIAL - Direct Impact: Your decisions affect Alan’s scaling, growth, profitability and ability to provide delightful experience to members when they need it the most. - Human + AI, done right: You won't build AI that replaces people. You'll build the control surface that lets human experts drive the AI - the tools that decide what happens when the AI alone isn't enough. - Ownership & Growth: Influence product direction, mentor other engineers, and lead technical initiatives that shape the future of healthcare access. 🔍 WHAT WE'RE LOOKING FOR Technical Requirements: - 5+ years building scalable software systems - Full-stack experience (backend and frontend) What we value: - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" - Humble and still willing to grow (no matter your seniority) Mission Alignment: - Healthcare technology excites you - You understand that insurance isn't just about money - it's about access to care But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Our stack is React, Python/Flask, PostgreSQL in a monorepo. If you are not familiar with this stack but are a keen learner, it is totally fine. We deploy daily and believe in distributed ownership - you build it, you own it. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. To see all our opened Engineering positions, click here https://jobs.ashbyhq.com/alan?departmentId=8ba0fb44-ec79-4731-bf45-d65a821e24f0 ! 🌍 HOW WE WORK Location: You must be legally eligible to work in France, Belgium and Spain. Remote work: We offer remote work flexibility, but we value in-person collaboration. Check here https://alan.com/en/careers/a/everyday-life for more information about our everyday life! 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan and Career pages, as well as our Medium, blog and Glassdoor pages for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced Security Engineering Lead to join the Cyber Security organization, reporting to the Corporate Security Engineering Manager under the CISO. This is a senior technical lead role focusing on engineering and execution without direct people management responsibilities. This role combines hands-on security engineering to deliver end-to-end protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them. You will be responsible for implementing, managing, integrating and maintaining security systems across the organization’s IT landscape. The role requires deep technical proficiency in multiple platforms and tools, combined with the ability to collaborate with Security, IT, Engineering, Product, GRC and other business units to reduce risks and embed strong security practices. Your responsibilities will include: Engineer, deploy, and continuously tune systems such as Identity & Access, Threat Detection & Response, Cloud & Network Security. Define, enforce and maintain security policies & configurations across endpoints, email, SaaS, network, and cloud platforms. Design and implement solutions to gain continuous visibility into systems and processes, sensitive data, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments. Monitor, triage, and investigate security alerts and risks, collaborating with Security, IT, Network teams on escalation and remediation. Conduct risk assessments and identify gaps in security controls across systems, pipelines, and business processes. Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to security and privacy. Collaborate with Engineering, IT, Product, and GRC teams to embed security controls into systems, and workflows. Maintain documentation, runbooks, and guidelines for operations, security posture management, and security practices. We expect you to have: 6+ years of experience in IT security, with a strong focus on System, Network, Information, Cyber. With at least 3 years in a Security Engineering role. Proven hands-on engineering experience with enterprise security platforms - including policy authoring, tuning, incident workflow configuration, and platform administration. Experience securing data across cloud environments and SaaS platforms, including shadow IT and unmanaged data stores. Strong understanding of identity and access management and data access governance principles. Experience working cross-functionally with Security, IT, Engineering, Product, and GRC teams. Strong analytical mindset with the ability to communicate security risks clearly to technical and non-technical stakeholders. Excellent written and verbal communication skills in English. Proactive, detail-oriented, and ownership-driven. Hand-on experience with multiple technologies such as: XDR (Extended Detection & Response), SWG (Secure Web Gateway), DLP (Data Leakage Prevention), Email Security, Network security (Firewalls, NAC, NDR), IGA (Identity Governance & Administration), CASB (Cloud Access Security Broker), PAM (Privileged Access Management), EPM (Endpoint Privilege Management), BAS (Breach & Attack Simulation), Vulnerability Scanners, SIEM (Security Information & Event Management), SOAR (Security Orchestration, Automation & Response), CTI (Cyber Threat Intelligence), Patch Management, TPRM (Third-Party Risk Management), EASM (External Attack Surface Management). It will be an added bonus if you have: Experience building or scaling a security program from the ground up in a growing organization. Experience with cloud-native security services (AWS, Azure, Google). Knowledge of privacy and regulatory frameworks (GDPR, ISO 27001, SOC 2). Scripting or automation skills (Python, PowerShell). Relevant certifications such as CISSP, CISM. BSc in Computer Science, Information Security, or a related field. Project & people management experience. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto; New York Workplace: Remote 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 member of the US Talent Acquisition team focused on Sales and Go-To-Market hiring, you will be instrumental in building and scaling Mistral's US-based revenue-generating teams from the ground up. Joining early means you'll help shape both our GTM recruitment strategy and operations, partnering closely with GTM leadership across Sales, Pre-Sales/Solutions, Partnerships, Customer Success, and Revenue Operations. Your work will directly influence our commercial success by ensuring we find and engage exceptional operators who will drive Mistral's growth in the US market. In this role, you'll also foster a strong candidate experience and help establish GTM recruiting best practices as we expand across the US. What You Will Do GTM Stakeholder Partnership - Partner deeply with GTM leaders — from CRO and VP Sales to Pre-Sales and Customer Success leadership — to understand hiring needs, define role specs, and identify the right commercial talent. - Own full-cycle recruitment across all GTM functions: AEs (Enterprise, Mid-Market, SMB), SDRs, Solutions/Sales Engineers, Partner Managers, CS leaders, and RevOps - Advise hiring managers on market mapping, leveling, comp positioning, and competitive landscape for US GTM talent - Translate the nuances of each GTM role into compelling, accurate candidate outreach End-to-End GTM Recruitment - Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, high-volume GTM roles. - Source passive and active candidates across US GTM talent pools, particularly in AI/ML, open-source software, and enterprise infrastructure markets - Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations - Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for senior GTM talent Candidate Experience & Selling Mistral - Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory. - Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and enterprise credibility — to differentiate us against better-known competitors - Provide candidates with real insight into our GTM motion, growth plans, and the specific impact of their role - Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome Recruiting Operations & Data-Driven Improvement - Develop and refine GTM recruiting processes, tools, and documentation to improve outcomes and efficiency. - Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role) and propose targeted solutions - Build and maintain market maps, competitive intel, and talent pools for key US GTM segments - Standardize GTM interview rubrics, scorecards, and debrief practices across US GTM hiring teams Raising the Bar - Collaborate with GTM leadership and the broader Talent team to continuously elevate our hiring standards. - Contribute to defining and evolving our GTM talent acquisition strategy in the US as we scale from early commercial team to mature GTM org - Partner on employer-brand and outbound sourcing initiatives that position Mistral as a destination for top GTM talent What We're Looking For - 6+ years of recruiting experience, including 2+ years in a startup or high-growth B2B SaaS/infrastructure company, with a focus on Sales and GTM roles - Demonstrated ability to independently hire across the full GTM stack — from SDRs to senior AEs, Solutions Engineers, and GTM leadership - Deep network and sourcing expertise in US GTM talent markets, particularly in AI/ML, open-source, developer tools, or enterprise software - Track record of hiring in competitive, candidate-scarce markets where GTM candidates have multiple offers - Experience working across multiple US markets - Willingness to work on other roles as needs come up - Comfort navigating ambiguity and switching between strategic planning and hands-on execution - Strong written and verbal communication skills, with the ability to influence peers and senior GTM stakeholders without direct authority - Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate - Professional experience with modern recruiting tools such as Ashby - Familiarity with the AI/ML landscape and the ability to credibly discuss frontier model capabilities with technical GTM candidates 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.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Finance Business Partner acts as a financial advisor to commercial and operational teams across the business. The role provides analysis and financial guidance to support budget control, cost discipline, and ongoing monitoring of profitability and ROI for major commercial initiatives. The Finance Business Partner together with the Head of Business Partnering, also sets the financial frameworks and methodologies used for ROI and profitability calculations, ensuring consistency and rigor across the organization. The role works independently on complex analyses, partners closely with stakeholders, and contributes to budget planning, financial governance, and continuous performance monitoring. Your responsibilities will include: Business Partnering • Build strong relationships and serve as a trusted financial partner to stakeholders in the business. • Develop and maintain reports for functions leaders and provide financial insights. • Support business owners with budgeting, monthly reviews, and cost control. • Communicate financial implications of business activities to non-finance stakeholders in a clear and actionable way. Planning, Forecasting & Reporting • Drive annual budgets, forecasts, and monthly reporting cycles for dedicated functions. • Prepare financial dashboards, variance analyses, and performance insights for business functions. • Ensure data accuracy and consistency in financial reporting. Process Improvement & Systems • Contribute to improving FP&A tools, methodologies, and reporting frameworks. • Support automation efforts and enhancement of planning systems and BI dashboards. • Recommend process improvements that increase visibility, control, and analytical depth We expect you to have: 6+ years of experience in FP&A, business partnering, commercial finance, or similar roles. Strong analytical capabilities and advanced financial analysis skills. Experience partnering with commercial and operational teams. Understanding of revenue dynamics, cost structures, and unit economics. Outstanding communication and interpersonal skills, with a proven track record of fostering strong relationships and collaborating effectively with multicultural teams across various regions and time zones. Extensive experience with planning applications (Oracle NSPB is preferred) and related tools (Oracle EPM/NetSuit, BI tooks, etc.) Ability to work independently on moderately complex financial problems. Proficient in the English language, both written and verbal. Strong business partnering skills with the ability to influence stakeholders. Clear communication skills with the ability to tailor messages to different audiences. Analytical, detail-oriented, and comfortable working with incomplete data. Proactive, solution-driven mindset with high ownership. Ability to manage multiple priorities in a fast-paced environment. Collaborative and able to build strong cross-functional relationships. High resilience, with the ability to maintain sound judgment and performance in fast-paced or ambiguous environments. It will be an added bonus if you have: Experience in SaaS/tech businesses, or infrastructure/capex-heavy operations. Exposure budget control, HC planning, or Opex management. Experience in international, and fast-paced Professional qualification or progress toward CMA/CIMA/CPA/CFA or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA 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 Staff Software Engineer on the GTM AI Engineering (Claudification) team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control Develop evaluation frameworks for agent behavior, and run them in development and in production Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse Set the technical direction for how we build, evaluate, and operate agents across the team Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications Strong programming skills in Python or TypeScript, with experience building and operating production applications Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks Experience using evals and transcript analysis to find and fix real problems in an LLM system Working fluency with data, including SQL Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply Experience with the Claude Code and the Claude Agent SDK Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team Experience growing a codebase that many people contribute to, inner-source or open-source Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change Ship an MCP server that gives sellers and their agents governed access to a core revenue system Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action 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 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Location: San Francisco; Palo Alto; London; Berlin; New York City Perplexity is seeking top-tier AI Research Scientists and Engineers to advance our AI products and capabilities. We're building the future of AI-powered search and agent experiences through our Sonar models, Deep Research Agent, Comet Agent, and Search products. Join us in creating SOTA experiences that handle hundreds of millions of queries and continue to scale rapidly. Team Structure Depending on your interests and expertise, you'll work on one of three specialized teams: 1. Core Research Team (Horizontal) Focus on generating and improving base models that power all our products. This team works on foundational model capabilities, post-training techniques, building RL infra and infrastructure that benefits the entire organization. 2. Agent Products Team (Vertical) Concentrate on fine-tuning and optimizing models for our Deep Research Agent and Labs/Canvas products. This team bridges research and product, ensuring our agent capabilities deliver exceptional user experiences. 3. Comet Agent Team (Vertical) Dedicated to developing and enhancing our Comet Agent product. This specialized team focuses on the unique requirements and optimizations needed for Comet's specific use cases. Responsibilities Research & Development - Post-train SOTA LLMs using the latest supervised and reinforcement learning techniques (SFT/DPO/GRPO) - Leverage our rich query/answer dataset to scale model performance across Sonar, Deep Research, Comet, and Search products - Stay current with the latest LLM research, especially in model training, optimization, and personalization techniques - Implement preference optimization and personalization capabilities to enhance user experience - Invent in-house improvements and optimizations to enhance SOTA models - Turn research ideas into algorithms and run experiments to launch new models Infrastructure & Implementation - Own full-stack data, training, and evaluation pipelines required for model development - Build robust and effective training frameworks (on top of Megatron/PyTorch) for post-training LLMs - Implement necessary infrastructure and components to support cutting-edge model training at scale - Integrate models seamlessly into our product ecosystem Collaboration - Work closely with engineering teams to integrate models into Perplexity's product suite - Collaborate across teams to ensure cohesive AI experiences throughout our platform - Partner with product teams to understand user needs and translate them into model improvements Qualifications Required - Proven experience with large-scale LLMs and Deep Learning systems - Strong programming skills in Python/PyTorch; versatility is a plus - Experience with post-training techniques and reinforcement learning - Self-starter with a willingness to take ownership of tasks - Passion for tackling challenging problems - Minimum 2-6 years of experience on relevant projects (depending on seniority level) Nice-to-have - PhD in Machine Learning, AI, Systems, or related areas - Experience in post-training LLMs with SFT/DPO/GRPO - C++/CUDA programming skills - Experience building LLM training frameworks - Academic publications and research impact - Experience with agent systems and multi-step reasoning - Background in personalization and preference learning

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Public Affairs Leader to serve as the number two on our public affairs team, working directly under the VP of Public Affairs with real authority over a growing team and an expanding set of markets. You will be the operational lead for our North American state and local engagement work, managing a field team, driving community strategy, and stepping in wherever the work needs you. Nebius takes a community focused approach that sets us apart in the market. Communities have real concerns about land use, water, power, and local economic impact, and the companies that earn trust early move faster and build better. This role sits at the center of that effort. You will start with three direct reports placed across active markets, with the team growing as our pipeline expands. You will have communications and marketing support, a strong story to tell about Nebius's approach, and direct access to the VP to help shape strategy, not just carry it out. Your responsibilities will include: Lead the field team Manage and develop a team of three market-based public affairs professionals, as new markets come online. Set priorities, coach performance, and ensure field staff have the support and strategy they need to be effective on the ground. Serve as the deputy to the VP of Public Affairs — covering decisions, representing the function internally, and stepping in as needed. Manage relationships with outside consultants and government relations firms across markets. Drive community engagement strategy Develop and execute the community engagement playbook across active markets, from initial project introduction through construction and operations. Represent Nebius externally before local elected officials, planning boards, public town halls, and community open houses. Identify risks early — political, regulatory, community — and develop mitigation strategies before they become blockers. Support and guide Nebius's community investment programs, including local education and workforce initiatives. Work across the company Partner closely with legal, infrastructure, communications, and marketing teams to coordinate messaging and stakeholder strategy around specific projects. Translate complex policy and community dynamics into clear, actionable briefings for senior leadership. Track political and regulatory developments across North American markets, surfacing issues and opportunities relevant to our build-out. What Success Looks Like – Year One The field team is stable, well-managed, and operating with a consistent engagement approach across markets. Community trust is established in active markets, with permits and social operating license secured where needed. A repeatable community engagement playbook is in place and being used by the team. You've built the relationships internally to be an effective deputy — legal, infrastructure, and comms teams see you as a go-to partner. We expect you to have: 7 –10 years of public affairs, communications and/or community engagement work Hands-on experience with developing infrastructure and engaging communities Experience working in or alongside a fast-moving company or startup environment; comfortable with ambiguity and shifting priorities. Proven ability to manage a team and outside consultants. Data center, energy, or other large-scale infrastructure experience strongly preferred How you work: A relationship-builder: credible and comfortable in rooms with everyone from a neighbor to the Mayor, company executives, and project antagonists A clear communicator: you translate complexity into crisp executive summaries and briefings that decision-makers can actually use. A self-starter that can independently work towards key objectives, set goals and achieve them. Collaborative across functions: you work naturally with legal, comms, and business teams rather than operating in a silo. Solutions-oriented: when you surface a problem, you bring a recommended path forward. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $187,500 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: South Korea About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced, customer-obsessed Solutions Architect to lead technical engagement with Nebius’ most strategic customers across multiple industry segments. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership — from early discovery through production adoption. As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI cloud for mission-critical ML/AI workloads. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Seoul Area. Your responsibilities will include: Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic customers including AI-native and digital-native companies, strategic and large enterprises, and government organizations, from initial discovery through PoC, architecture design, and production readiness. Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams). Lead complex ML/AI infrastructure and MLOps architectures , including large-scale training and inference workloads on GPU-accelerated cloud platforms. Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI. Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption. Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions. Act as a single point of technical authority for key customer scenarios across internal teams (product, support, marketing). Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership. Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization. We expect you to have: 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar — with significant customer-facing responsibilities. Proven track record of end-to-end delivery of complex presales engagements , including discovery, solution design, PoCs, and production transition. Deep hands-on experience with large-scale ML-based workloads , including GPU training and inference at scale. Strong expertise in cloud infrastructure and MLOps , including Kubernetes-based platforms and distributed systems. Solid hands-on experience with Infrastructure as Code and configuration management (Terraform, Ansible), and strong Python skills. Deep understanding of GPU computing stacks for ML/AI workloads (drivers, CUDA, libraries, performance optimization). Exceptional communication skills — able to clearly articulate complex technical concepts to both technical and executive audiences. A highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy. Fluency in Korean and English , with the ability to communicate effectively with customers and stakeholders in both languages. It will be an added bonus if you have: Prior experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or in a similar senior AI/ML-focused role. Hands-on experience with HPC and ML orchestration frameworks (e.g., Slurm, Kubeflow). Practical experience with deep learning frameworks such as PyTorch and TensorFlow. Strong understanding of the cloud ML ecosystem across major providers (NVIDIA, AWS, Azure, Google Cloud). Experience influencing product direction based on customer feedback and real-world usage patterns.Experience leading and contributing to end-to-end large scale ML deployment projects on all layers of the stack. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Japan About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking an experienced, customer-obsessed Solutions Architect to lead technical engagement with Nebius’ most strategic customers across multiple industry segments. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership — from early discovery through production adoption. As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI cloud for mission-critical ML/AI workloads. As a core member of our founding Japan business team, you will have the opportunity to help shape the foundations of our culture and operations while working remotely and being based in the Greater Tokyo Area. Your responsibilities will include: Own end-to-end technical presales and solution delivery for a diverse portfolio of strategic customers including AI-native and digital-native companies, strategic and large enterprises, and government organizations, from initial discovery through PoC, architecture design, and production readiness. Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams). Lead complex ML/AI infrastructure and MLOps architectures , including large-scale training and inference workloads on GPU-accelerated cloud platforms. Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI. Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption. Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions. Act as a single point of technical authority for key customer scenarios across internal teams (product, support, marketing). Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership. Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization. We expect you to have: 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar — with significant customer-facing responsibilities. Proven track record of end-to-end delivery of complex presales engagements , including discovery, solution design, PoCs, and production transition. Deep hands-on experience with large-scale ML-based workloads , including GPU training and inference at scale. Strong expertise in cloud infrastructure and MLOps , including Kubernetes-based platforms and distributed systems. Solid hands-on experience with Infrastructure as Code and configuration management (Terraform, Ansible), and strong Python skills. Deep understanding of GPU computing stacks for ML/AI workloads (drivers, CUDA, libraries, performance optimization). Exceptional communication skills — able to clearly articulate complex technical concepts to both technical and executive audiences. A highly customer-centric mindset with the ability to balance customer needs, technical feasibility, and product strategy. Fluency in Japanese and English , with the ability to communicate effectively with customers and stakeholders in both languages. It will be an added bonus if you have: Prior experience as a Senior AI/ML Specialist Solutions Architect, Technical ML Product Manager, or in a similar senior AI/ML-focused role. Hands-on experience with HPC and ML orchestration frameworks (e.g., Slurm, Kubeflow). Practical experience with deep learning frameworks such as PyTorch and TensorFlow. Strong understanding of the cloud ML ecosystem across major providers (NVIDIA, AWS, Azure, Google Cloud). Experience influencing product direction based on customer feedback and real-world usage patterns.Experience leading and contributing to end-to-end large scale ML deployment projects on all layers of the stack. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, UK 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 looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts Deadline to apply: None. Applications will be received 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: £255,000 — £325,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Location: New York City, NY | Seattle, WA; San Francisco, CA | New York City, NY 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 looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features Build tools that maximize autonomy and creative freedom for less-technical users Make product and prioritization decisions, not just execute on specs handed to you Iterate quickly based on feedback to continuously improve the user experience Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: Have 6+ years of experience building production software, ideally full-stack Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way Think in systems and abstractions—you see the platform behind the feature request Care about empowering users, not just building for them Own outcomes, not just code—you care whether the thing you built actually solved the problem Are comfortable making decisions with incomplete information and operating with ambiguity Hold yourself to a high bar without needing external pressure Strong candidates will have: Proficiency across the stack (we use Python, TypeScript, React) Experience building platforms, primitives, or internal tools that others build on top of A track record of shipping products independently—not just contributing to larger efforts Deadline to apply: None. Applications will be received 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: $320,000 — $405,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.