Вакансии

Location: San Francisco, CA; Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Role: We’re looking to add a frontend engineer to develop and enhance new features on LangSmith, working on our enterprise platform product for LLM application observability, testing, and debugging. *This role can be based in our San Francisco, New York, or Boston office. Employees within commuting distance work from the office five days per week. Candidates who live outside commuting distance (e.g. >1hr each way), may be eligible for hybrid arrangements depending on location and role requirements. What You Will Do: - Develop new user-facing features using React & Typescript - Build reusable components and front-end libraries for future use - Translate designs and wireframes into high-quality code - Optimize components for maximum performance across a vast array of web-capable devices and browsers - Collaborate with fullstack and backend developers and UX/UI designers, to enhance usability What You Will Bring: - 2+ years of Front-end engineering experience with strong proficiency in React, JavaScript and TypeScript - Hands-on experience with front-end development tools like Babel, Vite, Webpack, NPM, and Yarn - Familiarity with REST APIs and experience working closely with fullstack and backend engineers - Knowledge of modern authorization mechanisms, such as JWTs - A passion for user experience, design and building clean, engaging, and intuitive interfaces - Strong written and oral communication skills, with the ability to explain technical concepts clearly and concisely to both technical and non-technical stakeholders - The DNA to thrive in a start-up, fast-paced environment. Views unstructured environments as an opportunity to figure out the most impactful work and help define the future success of the company - An ownership mind-set. You are self-driven and look for opportunities to make an impact. - Strong computer science fundamentals, ideally with a degree in computer science or related field Compensation - Annual salary range: $160,000-$195,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.   WHAT YOU’LL DO - Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business - Support external reporting with accurate, governed data that stakeholders and partners can trust - Own data quality: testing, CI/CD, documentation, and patterns the team follows - Build and evolve Databricks dashboards and semantic metrics for self-service across the business - Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products - Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers   YOU BRING - 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis - Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD) - Strong Databricks BI (or equivalent semantic layer) delivery - AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents - Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping - Clear communicator across technical and non-technical audiences - Owner mentality: you see what’s broken, fix it, and raise the bar for others   TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.     WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI infrastructure. Unlike a traditional outsourcing agency, we place professionals directly with clients where they become valued in-house team members, contributing to long-term growth and innovation. Job Type: Full-time Job Summary We are seeking a proactive, high-ownership DevOps Engineer to serve as the technical backbone of our infrastructure. In this role, you aren’t just managing a queue; you are the primary technical point of contact for the internal team, responsible for ensuring our systems remain fast, stable, and scalable. You will have deep ownership over a production stack, balancing "first responder" troubleshooting with strategic optimization projects. If you are a self-directed engineer who thrives on solving complex puzzles and building robust cloud environments, this is the role for you. Key Responsibilities Collaborate with clients and internal teams to design scalable, secure, and high-performance infrastructure solutions. Lead technical discovery sessions to translate complex business needs into actionable technical architecture. Build and deliver high-impact proofs-of-concept (POCs), technical demos, and comprehensive documentation for partners. Partner closely with the engineering team to ensure successful product implementations and a seamless "product-market" fit. Support pre-sales engagements by presenting technical capabilities and addressing deep-dive architectural requirements. Troubleshoot complex integration issues and provide expert guidance on infrastructure best practices. Act as the voice of the customer by gathering feedback and contributing directly to product roadmap discussions. Deliver technical enablement sessions, workshops, and onboarding programs for enterprise clients. About the company Our client is a fast-growing SaaS company providing a comprehensive, mission-critical platform for elite brands in the fitness, wellness, and personal care industries. Their intelligent software suite integrates a powerful CRM, automated marketing engines, and white-labeled mobile applications to streamline operations for high-growth studios, spas, and salons. By leveraging autonomous AI agents and unified communication tools, they help businesses scale rapidly, enhance member engagement, and drive measurable revenue growth. Requirements 3+ years of experience in a DevOps, SRE, Solutions Engineering, or Cloud Engineering role. Deep technical expertise in modern infrastructure: Kubernetes, Docker, REST/GraphQL APIs, and CI/CD workflows. Solid scripting or programming proficiency in Python, Go, JavaScript, or a similar language. Exceptional communication and presentation skills, with a proven ability to explain complex technical concepts to diverse audiences. Relentless "owner" mentality with the ability to work autonomously in a fast-moving environment. Nice-to-Haves Experience in high-traffic production environments. Background in performance tuning for relational and NoSQL databases. Familiarity with modern CI/CD pipeline automation. Benefits 💰 Competitive salary and compensation package 🇦🇪 High-impact role in a growing tech hub (Abu Dhabi) 🚀 Opportunities to shape the future of cloud infrastructure 📈 Significant career growth and leadership opportunities 🎯 Performance-based incentives 🛠️ Work with a world-class, high-performing engineering team

Location: Preah Sihanouk, Cambodia Are you a luxury automobile enthusiast who appreciates the finer details of high-end vehicles? If the answer is yes, we are looking for you! As a Luxury Brand Evaluator, you will step into the world of luxury to discreetly assess customer experiences and provide critical feedback that helps brands refine their services, your insights will shape the future of luxury experiences. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - visit boutiques, check ambience, experience luxury automotive showrooms, purchase online, evaluate after-sales services, or overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Good understanding of the automobile industry. Passionate about automobiles and improving customer service and retail environments. Enjoy interacting with people. Has a keen eye for discreetly observing and noting various aspects of your shopping experience. Willingness to adapt to varying assignment types and industries. Ability to provide unbiased, honest feedback without personal biases and be prompt in filling out online surveys Benefits This is a freelance , project-based position Flexible working hours

Location: Mumbai, India Position: Executive Assistant Job Summary: An Executive Assistant for the Chief Strategy Officer is responsible for providing high-level administrative support to the CSO and assisting with the coordination and implementation of strategic plans and initiatives. This may include scheduling meetings, managing correspondence, and maintaining confidential files and documents. Additionally, the executive assistant may be responsible for conducting research, preparing presentations and reports, and representing the CSO in meetings with internal and external stakeholders. Strong organizational skills, attention to detail, and the ability to work independently and manage multiple tasks are essential for this role. Key Responsibilities: Manage the CSO's calendar, ensuring all appointments and meetings are scheduled effectively and efficiently Prepare meeting agendas and assist in conducting meetings, taking notes and summarizing key points Coordinate and manage communication between the CSO and internal and external stakeholders, including clients, partners, and vendors Draft and proofread correspondence, reports, and presentations Conduct research and provide data analysis to support decision making Support managing the company's CRM system (HubSpot), including inputting data and managing contacts, as well as creating reports and dashboards for the CSO Assist with the coordination and execution of business development initiatives, including managing deals and partnerships Provides operational and administrative support to assigned business unit Make travel bookings and arrangements Adhere to company policies and work standards Ad-hoc administrative duties Desired Skills and Qualifications: Experience: 1 year of experience working directly with C-level executives. Excel proficiency - Intermediate level. Technical Skills: Microsoft Office 365/Google Workspace. Familiarity with CRM platforms and Zoom Communication: Excellent command of English, both written and verbal, adapted to diverse business needs. Organization: Able to manage multiple tasks and deadlines efficiently. Problem-solving: Independent problem solver with innovative solutions. Professionalism: Strong work ethic, detail-oriented, and capable of working independently. Job details: Employment Type: Contract Duration: 1 year, with the possibility of extension Compensation: Given the full-time support required, the projected monthly income ranges from ₹20,000 to ₹30,000. Work Schedule: Monday to Friday, adhering to a night shift to align with US Time Zones (8 AM – 5 PM PST / 8:30 PM – 5:30 AM IST). Additionally, schedule may be changed contingent upon the role requirement. Location: Remote (Work from Home) Internet Requirements: A minimum internet speed of 50 Mbps is required, with a LAN connection recommended for optimal performance. Join Us: Become a part of our dynamic team and contribute to our mission of finding the best talent to drive our organization forward. If you are passionate about recruitment and want to make a significant impact in a growing company, we would love to hear from you.

Location: San Francisco, CA 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 New Markets and Monetization team exists to bring transformational AI to every business. Model capabilities are compounding, and the Claude Platform is how businesses build with our models. Our job within the Claude Platform is to make sure that every industry, not just software, can build on frontier AI with our APIs and that everyone who builds on Claude prospers by it. The work falls into two pillars that reinforce each other. Verticals: identifying and building for the next API markets. Monetization: the commercial machinery that lets the platform do business anywhere, with anyone: a single way for usage that flows through partners, resellers, and other platforms. We're hiring the founding product managers onto this team, and this posting covers all of them. You will own one of the areas below outright, work day to day with a dedicated engineering lead and designer, and be measured on numbers that are company-level goals for the half. Almost none of this exists yet, so most weeks you will be the person defining the problem rather than receiving it. Key responsibilities Partner and platform billing. How usage that reaches Claude through a partner, reseller, or another platform is metered, attributed, and billed, and the program terms that go with it, so indirect volume can grow without our risk growing with it. Spend observability and controls. Giving enterprise buyers a precise view of what they spend and where, and turning that into limits and controls they can enforce, including programmatically. One account, and the startup path built on it. One login and one wallet across the API and Claude's subscriptions, so a builder's first commit, first production call, and first invoice are on a single plan. A vertical. The platform strategy for a particular industry: what builders there need that the platform doesn't yet do, which bets to make, and shipping them with the vertical's own product and go-to-market partners. Whatever your focus, you will: Build on primitives owned by the Billing Platform and Auth & Identity teams, and ship with Growth, Go-to-Market and Startups, Legal, Finance, and Data Science Structure the commercial terms yourself, whether that's pricing, revenue attribution, or partner and startup program terms, with Finance, Legal, and Business Development Talk to every side of the ecosystem, from enterprise buyers and startup builders to the partners that resell or embed Claude and the industry customers we're building for, and turn it into a roadmap where each new participant makes the platform more valuable to the rest Own the team's outcome metrics: the share of the platform's business outside coding, new startup revenue, volume unified across the API and Claude's subscriptions, and the volume partners book on Claude, and make sure the instrumentation exists to know whether what you shipped moved them Write the strategy, the specs, and the analysis yourself Minimum qualifications Have owned a developer platform, API, billing or money-movement product, or self-serve growth product end to end, and were the person accountable for its revenue or activation number (for most people this means five or more years as a PM, but we care about the ownership, not the years) Have built with or shipped on top of large language models, and have a view on what changes about billing, identity, or distribution when the customer is sometimes an agent Are technically fluent: you read API docs, work through a billing, identity, or attribution design with engineers, and make calls on platform primitives yourself Pull your own data: SQL or equivalent, to define a metric, build a funnel, or size a market Have negotiated pricing, revenue share, or program terms with Finance, Legal, or Business Development counterparts Write clearly enough that an engineer, an executive, and an external partner can each see the tradeoff you're making Care about Anthropic's mission, and specifically about growing this platform in a way where the people building on it share in the upside Preferred qualifications 8+ years of product management experience Worked on metering, usage attribution, reseller or cloud-marketplace channels, or enterprise spend management Taken a developer platform into a new industry, or built product in healthcare, life sciences, financial services, or another regulated industry Grown a developer product's self-serve or startup business, including its pricing and packaging Built account, identity, or subscription systems that span more than one product Taken a product from zero to one, where the users, the product, and the economics all had to be worked out at once 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: $305,000 — $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value.   WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory.   Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We are looking for a Regional Director of Sales to lead revenue growth across a defined region within the Americas. This is a critical frontline leadership role for someone who has managed high-performing enterprise Account Executives, understands complex technical sales cycles, and is excited to help build the go-to-market motion for one of the most important categories in software. As Regional Director, Sales, you will own regional revenue execution, pipeline development, forecast accuracy, and team performance. You will lead a team of quota-carrying Account Executives selling to technical, product, and business stakeholders at high-growth startups and large enterprises. This role is ideal for a hands-on sales leader who combines strong operating discipline with curiosity about AI, developer platforms, and emerging infrastructure markets. You should be comfortable staying close to deals, coaching sellers through complex cycles, and helping customers understand both immediate use cases and long-term strategic value. WHAT YOU’LL DO - Own regional revenue targets, pipeline generation, forecast accuracy, and overall sales execution. - Lead, coach, and develop a team of enterprise Account Executives. - Build a culture of accountability, customer obsession, strong qualification, and consistent execution. - Partner closely with Sales Engineering, Customer Success, Product, Marketing, and Sales leadership to improve win rates and customer outcomes. - Drive disciplined execution across territory planning, account strategy, opportunity qualification, mutual action plans, forecasting, and expansion motions. - Stay deeply engaged in strategic opportunities, including executive alignment, deal strategy, negotiation, and closing. - Coach the team on selling to technical and executive audiences, including engineering leaders, AI teams, platform teams, product leaders, and business stakeholders. - Inspect pipeline rigorously, identify risks early, and ensure clear next steps across priority opportunities. - Develop a clear view of market demand, buyer personas, competitive dynamics, and customer pain points across your region. - Help refine LangChain’s enterprise sales motion as we scale from early GTM into a more repeatable, predictable sales organization. - Recruit, onboard, and retain high-performing sales talent as the region grows. WHAT WE’RE LOOKING FOR - 7+ years of enterprise software sales experience, including 2+ years leading quota-carrying sales teams. - Proven track record managing teams that sell complex technical products to enterprise customers. - Experience hiring, coaching, and developing high-performing Account Executives. - Strong command of enterprise sales fundamentals: qualification, discovery, value selling, mutual action plans, forecasting, negotiation, and executive engagement. - Experience selling to technical buyers such as engineering, infrastructure, data, AI/ML, developer platform, or product teams. - Ability to operate in a fast-moving, early-stage or high-growth environment where playbooks are still being built. - Strong cross-functional instincts and a collaborative approach to working with Product, Engineering, Marketing, Sales Engineering, and Customer Success. - Excellent communication skills, with the ability to simplify complex technical concepts for different audiences. - High ownership, low ego, and a willingness to be hands-on with customers, deals, and team development. NICE TO HAVE - Experience selling developer tools, infrastructure software, observability, data platforms, ML/AI tooling, or open-source commercial products. - Familiarity with LLMs, AI agents, RAG, observability, evaluations, or modern AI application development. - Experience helping scale a regional sales function at a company moving from founder-led or early GTM to a more repeatable enterprise sales motion. - Experience with MEDDIC, MEDDPICC, Command of the Message, or similar enterprise sales methodologies. - Prior success selling into both digital-native and large enterprise accounts. - Experience working in a highly technical, product-led, or open-source-influenced sales environment. WHY JOIN US AI is changing how software is built, deployed, and operated. LangChain is at the center of that shift. This is an opportunity to help build the sales organization for a category-defining company, work with highly technical and ambitious customers, and shape how enterprises adopt production-grade AI systems. You’ll join a team that values ownership, clarity, curiosity, and pace — and you’ll have the opportunity to make a meaningful impact on the company’s growth trajectory. Compensation: $350,000 - $400,000 OTE + Equity Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten's engineers want to work in an AI-first way. What's missing isn't enthusiasm — it's the platform underneath it. Today everyone assembles their own agent config, context files, and MCP servers, so the good patterns stay trapped in individual setups instead of becoming defaults everyone inherits. You'll build that platform: the agent configurations tuned to our monorepo, the context and tooling layer that makes agents competent in our codebase, the evals that tell us which approaches actually work, and the rollout mechanics that get a new engineer productive with agents in week one. You are not here to mandate how engineers use AI — you're here to make the good path the easy path. Success looks like teams adopting what you build because it beats what they'd cobble together themselves, not because a policy requires it. Platform engineer, not AI evangelist. Ship infrastructure, measure it, kill what doesn't work, let adoption be the referee. The playbook for AI-first SDLC doesn't exist at any company yet. You'll write ours. EXAMPLE INITIATIVES Agent substrate — Repo-level context infrastructure that makes agents competent in our codebase (CLAUDE.md/AGENTS.md http://CLAUDE.md/AGENTS.md conventions, architecture and domain context, and the tooling to keep it accurate as code moves). Internal MCP servers giving agents scoped access to CI, observability, incident tooling, deployment state, and docs. Shared skills, subagents, and hooks that encode Baseten workflows. Sandboxed environments where agents can build and test safely. The golden path — Project templates and onboarding that ship with AI tooling configured and working. Self-serve infrastructure so teams build their own agents without you as the bottleneck. Gateway, auth, cost controls, and audit logging for internal model access. The feedback loop — Eval harnesses that answer "is this config better than that one" against real Baseten tasks, not vibes. Instrumentation of AI tool usage and its downstream effects on cycle time, review latency, and change failure rate. Honest reporting, including on what you built that didn't pan out. Agents in the SDLC — Automation where agents earn their keep: PR review triage, test gap-filling, incident context assembly, migrations and refactors, codebase Q&A. Integrating agents into CI/CD with guardrails that make it trustworthy. RESPONSIBILITIES - Own the internal AI developer platform end to end — architecture, build, rollout, operation, measurement. - Evaluate and integrate third-party AI coding tools (Claude Code, Cursor, Codex, and whatever ships next quarter), and build the context layer that makes them work against our monorepo. - Build frameworks that let other engineers create their own agents without deep LLM expertise. - Establish the evaluation practice for AI-assisted development at Baseten, and use it to drive investment decisions. - Drive adoption through developer experience — good defaults, clear docs, low friction — not mandate. - Embed with teams to find where AI genuinely unblocks them, then generalize those wins into platform capabilities. - Own the safety layer: permissions, secrets handling, audit trails, cost management. REQUIREMENTS - Have 4+ years of relevant industry experience building and enabling AI native SDLC - Strong proficiency in Python and/or Go, building tools other engineers depend on daily. - Hands-on experience with LLMs and agent frameworks — tool calling, MCP, context management, orchestration, failure handling. You've shipped something agentic that real people used, not just prototyped. - Deep personal fluency with AI coding tools and well-formed opinions about where they break down. - Platform mindset: you build for adoption and self-service, treat internal engineers as customers, and would rather ship a good default than write a style guide. - Developer tooling, CI/CD, and Kubernetes/Docker fundamentals. - Comfort with ambiguity — this space invalidates its own best practices every few months. - Excellent written communication. Much of your leverage is docs, templates, and examples that scale beyond conversations you're in. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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 You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, legal, and compliance teams to ensure our products reach customers to support Anthropic's rapid growth. Day-to-day, you'll quarterback complex deals through CPQ, contract management, and internal approvals. Over time, you'll also identify and drive improvements to the systems and workflows you operate in — embedding approved deal structures into Salesforce, improving CPQ configurations, and helping build the operational infrastructure that lets a lean team support enterprise deal volume at scale. Key responsibilities Quarterback deals through internal processes — CPQ quote-building, approval routing, contract execution — ensuring accurate, timely completion Own Anthropic’s deal-making execution processes, ensuring that all commercial workflows can seamlessly navigate internal processes Build AI-native tooling with internal teams to meaningfully scale our commercial processes Optimize operational workflows that reduce friction in the sales cycle and accelerate time-to-close Act as the bridge between Sales and supporting teams, maintaining contract and compliance management systems and ensuring agreement terms align with company standards Maintain visibility on high-priority deals, providing appropriate escalation paths when commercial terms require executive input Collaborate with Legal teams to validate that agreements reflect the correct commercial intent and approvals Track and analyze deal patterns to identify bottlenecks and propose data-driven improvements to our sales operations Maintain and improve deal documentation: approval policies, pricing guidelines, SKU guidance, and process playbooks Minimum qualifications Are comfortable both executing within existing systems (CPQ, SFDC, contract platforms) and improving those systems as you go Bring a detail-oriented, process-improvement mindset: you notice when something is manual or error-prone and you want to fix it Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Strong project management skills with experience juggling multiple critical initiatives Bias toward action and comfort operating in ambiguity Have experience with CRM systems, CPQ tools, and contract management platforms Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 3+ years of experience in deal desk, sales strategy, commercial operations, or related roles, preferably in a high-growth technology environment Experience with Salesforce, CPQ tools (Nue, Apttus, Steelbrick), or contract management platforms (Ironclad, Docusign CLM) Background in project management, sales strategy, or commercial operations, where you’ve balanced operational excellence with building scaled systems Experience with deal operations at companies with subscription and/or consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations 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: $190,000 — $240,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional. Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten. RESPONSIBILITIES - Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against. - Build and maintain unit, integration, load and performance testing frameworks - Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc. - Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover. - Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time. - Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested. - Create project templates and shared libraries so new services start with a complete testing setup on day one. - Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities. - Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy. REQUIREMENTS - Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers. - Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them. - Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management. - Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them. - Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments. - Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale. - A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. You will own the deployment platform, release pipelines, and rollout safety mechanisms that allow engineers across Baseten to deploy changes rapidly while minimizing operational risk. Our mission is to make production deployments fast, safe, and increasingly autonomous. If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten. RESPONSIBILITIES - Design and build continuous deployment infrastructure that safely rolls out changes across dozens of Kubernetes clusters and global regions. - Develop systems for progressive delivery, including canary releases, staged rollouts, and automated rollback. - Improve engineering velocity by reducing friction in the release pipeline and automating manual operational workflows. - Work with product and infrastructure teams to ensure their services are deployable, observable, and resilient at scale. - Implement and evolve deployment methodologies such as GitOps, infrastructure-as-code, and progressive delivery patterns. - Build systems that automatically evaluate deployment health using metrics, logs, traces, and alerts to detect regressions and trigger safe rollbacks. - Interest in building systems that support agent-assisted or autonomous deployment workflows using modern AI tooling. REQUIREMENTS - Strong-level proficiency in Go and/or Python. - Have worked with Kubernetes-based deployment systems at scale - Have experience building or operating continuous deployment platforms - Are familiar with GitOps tooling such as ArgoCD or Flux - Care deeply about safe production rollouts and minimizing blast radius - Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools. - Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: 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 Anthropic is seeking a Manager, Infrastructure Capex Accounting to join our Infrastructure Accounting team. In this role, you will execute day-to-day accounting for Anthropic's owned infrastructure assets — the GPUs, networking equipment, and data center buildouts underpinning our recently announced $50bn investment in American computing infrastructure. As we continue our rapid growth, you will help ensure the operational scalability and financial accuracy of the core functions that enable Anthropic's research and commercial success. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic's growing fixed asset base is accounted for and understood across the business. You will own end-to-end accounting for Anthropic's capex and fixed asset portfolio, working closely with cross-functional partners across Data Center Operations, Finance, and Legal. You'll apply deep technical accounting expertise under ASC 360, and help build the processes, controls, and systems that let this function scale. Responsibilities Own end-to-end accounting for Anthropic's AI infrastructure capex and fixed asset portfolio, including monthly close, construction-in-progress (CIP) tracking, reconciliations, roll-forwards, and flux analysis Apply technical accounting expertise to complex infrastructure arrangements under ASC 360 (capitalization, useful lives, impairment, disposals, and asset retirement obligations) Partner with Data Center Operations, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Collaborate cross-functionally to improve the quality of upstream data pipelines from operational and contract systems, particularly around asset receipt, deployment, and in-service dates Help design and scale systems, processes, and controls to support a rapidly growing fixed asset portfolio Collaborate with and mentor junior accounting professionals across the Infrastructure Accounting team Serve as a key point of contact with external auditors on fixed asset and capex accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of financial reporting You may be a good fit if you Have 7+ years of progressive experience in accounting, with operational experience at technology or infrastructure-heavy companies Hold a Bachelor's degree in Accounting or Finance; CPA or equivalent preferred Possess strong technical accounting knowledge of ASC 360, particularly as applied to infrastructure, data center, or compute-related assets Have hands-on experience with a significant fixed asset portfolio in a high-growth environment Demonstrate strong analytical abilities and comfort working with large, complex datasets Have a track record of improving scalable financial processes in fast-moving environments Have experience mentoring junior accounting professionals Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Strong candidates may have Experience at hyperscalers, large compute consumers, or data center operators with exposure to infrastructure asset structures (including GPU clusters, networking equipment, and data center buildouts) Experience with fixed asset subledger systems at scale SQL proficiency for querying and analyzing large infrastructure and accounting datasets Background in Big 4 accounting or advisory services combined with industry experience Experience with complex data center buildouts or hybrid cloud / on-premise environments Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to accounting processes, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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: $160,000 — $190,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Manager, Product Applied Science to build and lead a team at the core of Garner's product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is a hands-on management role. You are responsible for the overall technical direction of your squad, building alongside your team of Applied Scientists to solve some of the hardest problems at the company. This is not a dashboards or descriptive-analytics team. Your team owns production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is leading a research pod at a top hedge fund. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Lead a team of 4-6 — hire, coach, and develop them, hold the bar on both rigor and speed, and help raise that bar across Applied Science Own the Population Health team and their outputs as a core responsibility Own your team's roadmap and delivery: what gets built, in what order, and whether it ships Set technical direction, and get in the weeds to do it — stay close enough to the code and the data to call the approach yourself, whether that's machine learning, optimization, a heuristic, or a simple rule, and set the standard for how your team makes that call Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Put your own hands on the problems where your judgment matters most — the highest-stakes, least-defined work — and deliver the algorithmic step-changes that move metrics like total-cost-of-care savings, steerage, and member engagement Turn ambiguous business goals into a clear problem set alongside Research, Product, Engineering, and business stakeholders, and represent your team's work to senior leadership Set the quality bar: review your team's work with rigor, and define the metrics that decide whether a solution is working Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred Deep technical credibility, with the range and judgment to lead scientists who are experts in their own right, and the willingness to stay hands-on Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them A bias toward action, quickly translating ideas into working prototypes to test approaches Strong communication skills, including at the executive level, with a track record of driving alignment across teams and functions A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to build and lead the team behind Garner's algorithmic systems — shaping how members find better care, and how applied science gets done at Garner, while staying close to the work yourself. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Staff Applied Scientist to join our Applied Science team. Garner is hiring Applied Scientists to design and ship the algorithmic systems at the core of our product. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them. This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund. This is a player-coach role. You will be a hands-on-keys Applied Scientist, while also leading a small team that helps you deliver on your roadmap. Your time will be split between your own technical work and working with your team to shape how they approach their problems. This role is a good fit for someone who wants to develop their management toolkit while continuing to work closely on their own technical work, and it can lead either towards management or a deeper senior IC track. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Lead a small team — set their technical direction, unblock them when they're stuck, and share accountability for their growth and the quality of what they ship Review Applied Science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong interest in mentoring or technically leading other Scientists — formal management experience is welcome, but not required Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. This is a unique opportunity to work on high-impact problems in healthcare — shaping how members find better care through algorithmic systems that directly influence healthcare outcomes, and helping the scientists around you do the same. Compensation Transparency: The target base comp range for this position is $300,000-$390,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote-Friendly (Travel Required) | Canada 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 scaling compute internationally — growing our footprint in new countries. We're hiring a Country Lead to be the single, accountable owner of our compute strategy in Canada: the person who leads a team of cross-functional experts driving site selection, leasing, energy, financing, government relations and policy, community engagement, construction, and operations. This person will be ultimately responsible for bringing gigawatts of compute online in Canada. You won't build this alone. The specialist functions — leasing, energy, policy, construction, finance — are hired and managed centrally by functional leads based in San Francisco. Your job is to provide cross-functional leadership over that team in-country: coordinating and driving accountability across workstreams, while representing Anthropic externally with government and industry counterparts in Canada. This is a high-ambiguity, high-trust role for someone who can bring structure to a fast-growing, cross-functional effort without needing formal authority to do it. Responsibilities Own the end-to-end strategy and coordination for Anthropic's compute build-out in Canada, from initial site selection through construction and operations. While each component will be run by subject matter experts, this role will act as the overall leader and coordinator of that team. Serve as the primary point of accountability for cross-functional workstreams; leasing, financing, energy, government relations/policy, community engagement, construction, and operations. Provide working leadership to the in-country cross-functional team, driving alignment and unblocking issues. Represent Anthropic with government officials, utilities, energy providers, and other external stakeholders in Canada. Build and maintain relationships within the Canadian government and the energy industry to support site, power, and policy outcomes. Track progress and surface risks across parallel workstreams as the country's compute footprint scales from initial sites to multiple gigawatts. Translate between Anthropic's global compute priorities and the specific regulatory, political, and market conditions in Canada. Requirements Canadian national with established links into government and the energy industry strongly preferred. Structured thinker with a track record of learning new domains quickly and going deep fast. Excellent communicator, comfortable representing Anthropic to senior government, utility, and industry stakeholders. Demonstrated ability to lead and coordinate cross-functional teams without direct line authority. Hyper-organized and detail-oriented, with the ability to own multiple concurrent workstreams at once. Comfortable with ambiguity; a problem solver who drives structure into undefined situations. Background in energy, infrastructure, or a related sector. Nice to have Prior experience with large-scale infrastructure or datacenter development. Existing relationships with Canadian federal or provincial government bodies relevant to energy, land use, or industrial development. Experience managing or overseeing capital-intensive projects. Familiarity with the compute, cloud, or datacenter industry. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York, NY; San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Lead the design and delivery of production-grade AI agents: We believe the best managers lead from being hands-on and close to the work. Our managers operate as ICs for their first 3-6 months at Sierra, and then evolve to manage and grow a team of engineers, all while building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact. - Own the Agent Development Life Cycle (ADLC): You’ll both build directly, and guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments. - Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product. WHAT YOU'LL BRING - Experience building and scaling, as well as leading engineering teams that build and scale, end-to-end production systems - Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environments - A leadership style that comes from being hands-on, and blends high standards with empathy, fostering both speed and quality - Proven ability to work closely with customers and translate business needs into technical deliverables - Excellent communication skills across technical and non-technical audiences - Degree in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience developing AI agents a plus). - Experience building or deploying AI/LLM systems in production - Background as a founder, engineering lead, or startup builder with high ownership and urgency - Familiarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Experience interfacing with customers or leading technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco, CA 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 We're looking for a Capabilities Researcher to join the team building Claude Security. In this role, you'll identify which security capabilities in frontier models are ready to build on, measure how well they perform, and work out how to make them useful to customers who are not security experts. Frontier models have become substantially more capable at security work over recent generations, and they continue to improve with each release. That progress creates a set of practical questions: which capabilities are reliable enough to depend on, how they perform in realistic conditions, how they behave when an adversary is involved, and where their limits are. You'll be responsible for answering those questions through fast prototyping and rigorous evaluation, and your findings will shape what the team decides to build. You'll also work on making those capabilities usable. Together with engineers on the team, you'll design the scaffolding, tooling, and defaults that let a strong model capability do useful work for a non-expert, and you'll stay involved as it becomes a product. This is a research role on a product team, with a broad charge and real latitude in what you investigate. It suits someone who already has ideas about what AI should be able to do for security teams and wants the models, the time, and the engineering support to pursue them. Responsibilities Prototype rapidly to find define the AI frontier for cybersecurity work Design evaluations that measure model performance on the work security teams actually do Build the datasets, harnesses, and scoring those evaluations depend on Engage with the cybersecurity community to help define where AI can make the most impact Work with engineers and researchers to operationalize promising capabilities into something customers can rely on Track how model capabilities for security are changing, and what that means for what we build next Share findings that inform product direction, and partner with product leadership on priorities You may be a good fit if you: Have deep expertise in one or more security domains, such as vulnerability research, exploit development, reverse engineering, malware analysis, incident response, or offensive security Have built AI-powered tools or capabilities for security work Can get from an idea to a working prototype quickly, and abandon the ones that don't hold up Are comfortable designing rigorous evaluations and interpreting the results honestly Can write and communicate clearly about technical findings Have 7+ years of experience in security research, security engineering, or a closely related field Strong candidates may also have: Published research, CTF results, CVEs, or open source security tooling Experience with model evaluation, benchmarking, or red teaming Experience building agentic applications Familiarity with the safety considerations of AI in security contexts Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.