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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the role Hybrid (3 days per week in the London office required) Individual contributor role A key part of the role is turning insight into action. You will translate analysis into clear, proportionate policies and operational responses that protect platform integrity and customer outcomes, while remaining practical to implement and appropriate for the markets in which we operate. You will work closely with Legal, Public Policy, Product, Data Science and Operations to navigate complex legal and regulatory considerations and ensure our approach is effective, fair and robust. Core responsibilities Lead a programme of work to identify, assess and prioritise courier/rider fraud and abuse risks across Wolt and Deliveroo. Translate identified risks into proportionate policy, process and operational responses, balancing risk reduction with customer outcomes, courier/rider experience and business practicality. Lead the implementation, monitoring and ongoing refinement of fraud and abuse policies, with clear measures of effectiveness and residual risk. Ensure policy approaches are developed with appropriate consideration of legal, regulatory, compliance and reputational implications. What you’ll be doing Build a deep understanding of our courier/rider operating models, incentive structures and end-to-end journeys to identify where fraud or abuse risk may arise, using data, operational knowledge and structured, hypothesis-led analysis. Develop analytical approaches and key metrics to identify patterns, quantify impact, assess detection signals and measure the effectiveness of policy interventions over time. Define new policies, or revise existing ones, in response to identified risks that may negatively affect customers, couriers/riders, the platform or the wider business. Conduct impact and risk assessments, framing clear options and recommendations that consider effectiveness, operational feasibility, cost, legal and regulatory requirements, and potential unintended consequences. Partner closely with Legal, Public Policy, Product, Data Science, Trust and Operations teams to shape business requirements, implement agreed responses and resolve complex trade-offs. Establish effective ways of working across Wolt and Deliveroo so that emerging trends, priority risks and lessons from policy performance are identified early and shared with relevant stakeholders. Lead cross-functional delivery from problem identification through to implementation, reporting and post-launch monitoring, adapting the approach as new evidence emerges. What we’re looking for 6+ years’ experience in fraud, risk, compliance, policy, operations, consulting or a related field. Strong analytical and problem-solving skills, with the ability to combine data, operational context and judgement to identify root causes and prioritise action. Experience translating complex or ambiguous risk issues into practical policies, recommendations and implementation plans. Experience navigating complex legal and regulatory landscapes and working constructively with Legal and Public Policy stakeholders. Excellent communication and stakeholder-management skills, including the ability to influence senior and cross-functional stakeholders and challenge constructively when needed. Strong project-management skills, with the ability to manage multiple workstreams, prioritise effectively and drive delivery in a fast-paced environment. Comfortable using AI-enabled tools appropriately to support analysis, hypothesis generation and problem solving. Why Deliveroo Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Workplace & Benefits At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information. Diversity At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry. We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Paris; New York; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization. You'll set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out the next inference product we should launch to help our customers scale their AI workloads or how we cut fraudulent free-tier usage without adding friction for legitimate users. You will work on state of the art infrastructure, in close collaboration with our science and research engineering teams. Your job is to turn that infrastructure into products that AI-native startups and enterprises pay for, integrated with our developer platform Studio. You will operate as an individual contributor first — taking end-to-end ownership of complex and significant product lines — while building the foundation for the inference PM team as the portfolio grows. The size and shape of the team reporting into the role will be defined together with the VP Product once you're in place; from day one the expectation is hands-on product leadership, not people management. You will be the first PM fully dedicated to inference and the most senior product hire in the space. You will report to the VP Product - Cloud & Inference, and work day-to-day with our inference engineering teams in the US and Europe. What you'll do - Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives. Benchmark the managed-inference field and pick where we win. - Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate. Economics: own adoption, revenue contribution, and gross margin for your products. Treat cost-per-token, unit economics, and capacity tradeoffs as product decisions, and partner with GTM, Finance and Marketing on pricing, packaging, and launches. - Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost, into roadmap choices. - Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and reliability. - Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product. - Team building: as the portfolio scales, help shape and grow the inference PM team — hiring, mentoring, and setting the product bar. What we're looking for - Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market. You have built robust, at-scale AI infrastructure first-hand. - An engineering background before moving into product management. - You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end. - Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale. - Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity. - High ownership and a strong bias for action. You prototype with AI coding tools, write your own specs, and unblock yourself without waiting for engineers or designers. - Low ego, comfort in ambiguity, and credibility with executives, engineers, and customers alike. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Berlin, Germany; Helsinki, Finland; London, United Kingdom About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team We are looking for an experienced Manager, Tax Technology to lead tax platform projects for Wolt and Deliveroo within our growing Tax Team. As Wolt and Deliveroo onboard onto the global unified tax platform and a single tax calculation engine (Vertex), this role owns the functional tax leadership that turns business and VAT requirements into configured, tested, live capabilities, and leads the offshore Wolt & Deliveroo implementation team delivering that work day to day. As DoorDash continues to grow its international footprint, we are looking for a candidate with deep, hands-on experience in VAT regimes who can lead a team, collaborate cross-functionally, and own the delivery of tax features and new-platform feature / new-market / new-partnership launches across Wolt and Deliveroo. About the Role You will report to the Senior Manager of the Tax Calculation Platform & Mx Operations and lead tax platform and business projects for Wolt and Deliveroo. You will manage a team to deliver day-to-day VAT configuration and testing, and partner closely with Tax Engineering, the Wolt and Deliveroo Tax teams, Tax Product, and other stakeholders — gathering business and VAT requirements, translating them into tax-system functional requirements for configuration and testing, and reviewing Technical Design Documents (TDDs) to provide functional tax expertise back to Tax Engineering. The primary focus of this position is end-to-end delivery of VAT tax solutions across the Wolt and Deliveroo platforms — new product, market, partnership launches and legislative changes, roadmap alignment with Wolt and Deliveroo's international expansion, and day-to-day leadership of the team executing that delivery — with an understanding of how data flows from upstream systems through the tax engine to downstream reporting.  Rather than handing off requirements to the Vertex Center of Excellence team, you will apply your own Vertex knowledge to help influence the functional design and determine the specific Vertex configuration a solution requires. Familiarity with US sales and use tax, food and beverage, and retail tax context is valuable for alignment with the broader platform. You’re excited about this opportunity because you will… Lead tax platform and business projects across the Wolt and Deliveroo platforms, including new product, market, partnership launches, and legislative changes. Gather business and VAT requirements and translate them into tax-system functional requirements for configuration, testing and delivery. Review BRDs, PRDs, and TDDs for VAT tax-system implications and provide functional tax expertise back to Tax Engineering. Define testing requirements and oversee validations across unit, integration, E2E, shadow, and post-launch phases. Align tax engine priorities and the integrated delivery plan with the Wolt and Deliveroo international market roadmaps, and represent tax platform status updates to Tax and Engineering leadership. Trace VAT-relevant data from upstream systems through Vertex to downstream reporting and compliance. Serve as the senior functional tax leader for Wolt and Deliveroo, escalating risk and driving cross-functional alignment across Tax, Product, Engineering, and Data. Manage and develop a team supporting this area, allocating workload, establishing QA checkpoints, and providing structured knowledge transfer on complex processes. We’re excited about you because… You have 8+ years of indirect tax or indirect tax technology experience, with several years working directly in VAT regimes. You are familiar with VAT tax requirements and can translate them into system requirements. Hands-on experience implementing or configuring Vertex O Series, and ability to review Vertex configurations and testing documentation and provide feedback. Hand-on experience implementing or configuring ERP tax integration (e.g. Netsuite) with Vertex tax engine. Experience with multi-country VAT implementations and EU VAT compliance; familiarity with non-US indirect tax regimes more broadly is a plus. Demonstrated people-leadership experience, including managing, coaching, workload delegation, and quality oversight. You can review technical design documents and provide functional tax expertise to engineering and product. You have familiarity with US sales and use tax, food and beverage, and retail tax context. You understand how tax data flows from upstream transaction systems through a tax engine to downstream reporting, including both in-house systems or ERP system integration flows. Program or project management experience across dependent teams, including building plans, milestones, and dependency maps, and driving them to completion. Comfort operating cross-functionally and building trust with partner teams without always holding formal authority over their roadmaps. Experience in use of SQL or Snowflake for data self-serve, issue investigation or testing validation. Experience in use of  API testing tools like Postman, SOAP UI and ability to read XML and JSON logs. Accounting, Finance, Information Technology, or Computer Science degree. You are fluent in leveraging multiple AI tools on the market (e.g., Claude Cowork, ChatGPT, Gemini, Cursor) on a daily basis across all of your assigned tasks, and you actively look for creative ways to apply them to enhance processes and create efficiency gains. Nice to Haves Familiarity with Marketplace Facilitator laws. Experience managing offshore teams across time zones. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: U.S. (Remote) Workplace: Remote ABOUT CLIPBOARD Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S. Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities. ABOUT THE ROLE We're looking for a Senior Product Designer to own up leveling the design of our core experiences across our worker and workplace apps. You'll partner closely with product and engineering to define vision, build roadmaps, and solve real problems for our customers. You'll talk to customers regularly and use what you learn to form a clear point of view on how to build solutions for their needs. You'll explore multiple directions, design user flows, visuals, and interactions, build detailed prototypes to test them with customers, and iterate until what ships is polished, intuitive, and impactful. This is an opportunity to build products in an industry that delivers real impact for our workers and workplaces and, enables better care outcomes for their patients. Beyond the features you own, you'll be working with other designers to dramatically raise the craft of everything we build. Sharper visual design, tighter interactions, more consistency across surfaces, and more care in the details throughout the experiences our customers use every day. WHAT YOU'LL DO - Own design for core features end to end across the worker and facility apps, from research and problem definition through specs and launch. - Serve as the primary experience voice for your team, framing ambiguous problems clearly enough that partners can see the vision and build from it. - Partner with PMs on planning and prioritization, using user needs and business context to decide what gets built and when. - Set a high bar for craft and push visual and interaction quality across everything you design in our products. - Build detailed, high-fidelity prototypes that show how an experience looks, moves, and feels. - Design within our design system and contribute back to it, working with other designers and engineers to get new components and patterns built into the codebase. - Talk to customers regularly to understand their problems, and use research and data to shape the experiences that solve them. - Integrate AI throughout your process, from synthesizing research and analyzing competitors to generating concepts, writing copy, and building working prototypes. - Take accountability for quality at every stage of a project, and above all for what ships. SKILLS YOU’LL NEED - 5+ years of product design experience and a portfolio of shipped work that shows strong visual and interaction craft and clear end-to-end thinking. - Experience owning a product area with little oversight, taking ambiguous problems from definition through launch and iteration. - Deep attention to typography, layout, hierarchy, color, spacing, motion, and interaction detail. - Fluency in Figma and AI-powered prototyping tools, with experience designing for iOS, Android, and web. - Experience working within and contributing to a design system, including partnering with other designers and engineers to get changes built in code. - Strong systems thinking, with the ability to design for interconnected flows and complex existing systems. - Experience talking directly to customers, and using research and product data to inform design decisions. - Credibility with engineering and product partners, built on clear communication and the ability to explain design rationale and influence direction. - Clear, proactive written and verbal communication, with the ability to present work confidently and explain design rationale. - Fluency with AI tools and a track record of using them to speed up your design work. - Openness to feedback, with the ability to take critique, adjust, and keep work moving. NICE TO HAVE - Experience with two-sided marketplaces, or products where both sides of a transaction depend on each other. - Experience designing for healthcare, operations-heavy, or other high-stakes real-world domains. LOCATION - Preferred: San Francisco CA/Bay area - Open to: US remote Quick Note on Scammers: Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.

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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 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: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annualized revenue, 32M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We are looking for a Growth Marketer to own demand generation for our B2B and enterprise business. Our GTM team already has sellers closing deals, creators producing cinematic content for enterprise audiences, and an email engine reaching thousands of prospects. Your job is to build the machine that feeds all of it: campaigns, funnels, and channels that turn attention into qualified pipeline. You are judged on pipeline and revenue influenced, not on clicks or impressions. This is a hands-on operator role. There is no playbook to execute; you will be writing it. WHAT YOU'LL DO GENERATE PIPELINE - Plan, launch, and scale integrated campaigns across paid channels (LinkedIn, Google, X), retargeting, and content distribution that convert into qualified meetings. - Build account-based programs on target enterprise accounts together with sales: the right message, to the right buyer, at the right moment. BUILD THE B2B FUNNEL - Own landing pages and conversion paths from first touch to booked meeting: copy, creative briefs, forms, routing, follow-up. - Launch webinars, showcases, and campaign moments using the cinematic work our creators produce. MEASURE, ITERATE, SCALE - Own funnel metrics end to end: cost per meeting, conversion by stage, channel ROI, attribution. You pull your own numbers and tell an honest story with them. - Run a constant experiment loop: test messaging, audiences, and channels weekly; kill what doesn't convert, scale what does. - Build lightweight systems (Sheets, APIs, automation, AI tools) instead of doing the same work by hand every week. RUN THE GTM LOOP - Sync campaigns with our sales, email, and creative teams so every touch a prospect sees tells one story. - Feed market signal back to product and leadership: what resonates, what objections repeat, where demand is forming. YOUR MUST HAVES - 3+ years in B2B growth, demand generation, or performance marketing at a SaaS or AI company. - A measurable result you can walk us through: pipeline or revenue you generated, which channels drove it, and what part of it was yours. - Hands-on paid channel experience (LinkedIn Ads, Google Ads) with real budget ownership. - Full command of your data: funnels, attribution, dashboards. You don't wait for an analyst to tell you what happened. - Excellent written English and strong copy instincts: you can write a landing page, an ad, and a nurture email yourself. - AI-native: you use LLM tools daily and automate before you hire out. - High agency, fast execution: you ship, iterate, and don't wait for perfect. NICE TO HAVES - ABM and marketing ops tooling: HubSpot or Salesforce, Clay, 6sense or similar. - Experience marketing to enterprise and Fortune 500 buyers. - Webinar or event program experience. - Experience in creative tools, generative AI, or the broader martech ecosystem. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

Location: Aberdeen, United Kingdom We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities An exciting new permanent opportunity has opened up within our Lifting Solutions business line for a Crane Operator Mechanic. The role will be to work on a 3/3 rotation based offshore in the North Sea, on an FPSO . This is on a new contract with promising longevity. You will be tasked with carrying out first line maintenance up to and including 6 monthly Planned Maintenance Routines and ensuring Crane integrity is maintained in accordance with client's maintenance standards. Other main duties and responsibilities will include; Supervise mechanical work scopes as directed by onshore engineering Record crane availability in line with client performance standards Complete daily log, trip assessment reports and crane log books Update crane data into client maintenance management system Operate crane for installation and vessel lifts within crane design, consideration to weather and sea states in line with relevant lift plans and risk assessments The Requirements To be successful for the position it is essential you hold a Stage III Offshore Crane Operator Certificate and subsequent Stage III assessments. You will also hold a recognised apprenticeship or maintenance / mechanical qualification (e.g. NVQ Level 3 or equivalent). Previous Offshore experience and valid offshore certificates are essential. It is preferred but not essential if you also hold all or some of the following certification; ERT, HERTL, HLO, Fire Team Leader. Diversity & Inclusion At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated.

Location: Aberdeen, United Kingdom We are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle - offshore and on land. We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves - all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role and Responsibilities An exciting new permanent opportunity has opened up within our Cranes and Lifting department for a Crane Operator Mechanic. The role will be to work on a 3/3 rotation based in the North Sea, on a fixed platform. You will be tasked with carrying out first line maintenance up to and including 6 monthly Planned Maintenance Routines and ensuring Crane integrity is maintained in accordance with client's maintenance standards. Other main duties and responsibilities will include; Supervise mechanical work scopes as directed by onshore engineering Record crane availability in line with client performance standards Complete daily log, trip assessment reports and crane log books Update crane data into client maintenance management system Operate crane for installation and vessel lifts within crane design, consideration to weather and sea states in line with relevant lift plans and risk assessments The Requirements To be successful for the position it is essential you hold a Stage III Offshore Crane Operator Certificate and subsequent Stage III assessments. You will also hold a recognised apprenticeship or maintenance / mechanical qualification (e.g. NVQ Level 3 or equivalent). Previous Offshore experience and valid offshore certificates are essential. Diversity & Inclusion At EnerMech we want to create a diverse and inclusive organisation and grow together to make a vibrant business. We are not there yet, but the desire is steadfast, so please consider a career with us in an organisation where differences in background, culture, education, working style and less obvious differences are respected and celebrated.

Location: India Our client is a UK-based B2B software company specialising in technology for the energy and commodity markets. They are looking for a hands-on Principal Software Engineer to join a small engineering team building complex software for the European energy and trading market. This is a technical leadership role first, with people management alongside it. You’ll continue writing and reviewing production code every week while also leading and developing a small team of engineers. Requirements You’ll take ownership of the technical direction of a core product area, working from well-defined requirements through design, development and delivery. Key responsibilities include: Write, review and ship production code regularly using C#/.NET and Azure Lead technical design and make architecture decisions, balancing delivery speed with long-term maintainability Design, develop, refactor, debug, test and support high-quality software Line-manage and mentor a small team of engineers Lead code and design reviews and constructively challenge technical decisions Own automated unit testing and promote strong engineering practices Identify root causes of complex technical issues and implement long-term solutions Contribute to planning, estimation and requirements refinement What We’re Looking For 10+ years of commercial software engineering experience Strong, recent and hands-on C#/.NET experience, including .NET Core/Web API Experience with Azure and cloud-based software development Strong system design and software architecture skills Experience with SQL and NoSQL databases Docker, containerisation and orchestration experience Strong understanding of SOLID principles, design patterns and integration patterns Experience with automated testing and code reviews Proven people management / line management experience while remaining hands-on technically Fluent English and strong communication skills A stable career history and experience working in complex products Nice to Have Experience in fintech, payments, trading, energy or another complex/regulated domain Experience in a smaller product-focused company Infrastructure as Code, such as Terraform, Bicep or ARM GitHub Actions, SonarCloud or CodeQL Experience with multi-tenant SaaS products TypeScript, Angular, JavaScript or Python Benefits Fully remote within India Competitive salary + annual bonus Private medical insurance Flexible working hours 24 days’ annual leave plus bank holidays Regular in-person team gatherings with travel and accommodation covered Opportunity to work on complex software used in live European energy markets

Location: Lagos, Nigeria What You Will Do Lead requirements gathering sessions with business and product stakeholders to understand business needs and objectives. Translate high-level business requirements into detailed functional and non-functional specifications. Analyze existing systems, processes, and workflows to identify opportunities for improvement and optimization. Design and document business processes, use cases, user stories, workflows, process maps, and system interactions. Develop solution proposals that balance business goals, customer experience, technical feasibility, scalability, and maintainability. Collaborate with Product Managers to refine requirements and define deliverable scope. Partner with Engineering teams to validate solution designs and ensure technical alignment before development begins. Identify edge cases, dependencies, technical risks, and implementation constraints early in the delivery lifecycle. Define and document APIs, integration requirements, data flows, and system interactions where required. Ensure solutions consider security, performance, scalability, reliability, and compliance requirements. Support engineering teams throughout development by clarifying requirements and resolving ambiguities. Facilitate communication between business and technical stakeholders to drive alignment and delivery success. Participate in sprint planning, backlog refinement, solution reviews, and release planning activities. Work closely with QA teams to ensure requirements are testable and acceptance criteria are clearly defined. Review implemented solutions to ensure they meet business expectations and documented requirements. Drive continuous improvements in analysis, documentation, and delivery processes. Requirements What You Bring Educational Qualification Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Business Information Systems, or a related discipline. Master's degree is an added advantage. Professional Certifications Certified Business Analysis Professional (CBAP) is an advantage. PMI Professional in Business Analysis (PMI-PBA) is desirable. Agile, Scrum, or Product-related certifications are an added advantage. System Design, Solution Architecture, or Technology-related certifications are beneficial. Experience Minimum of 5-8 years of experience in Systems Analysis, Business Analysis, Product Delivery, Solution Design, or related technology roles. At least 3 years working within software development environments using Agile methodologies. Experience within fintech, banking, financial services, or other high-growth technology-driven organizations. Hands-on experience documenting functional requirements, system specifications, workflows, and integrations. Experience collaborating directly with Engineering, Product, Architecture, and QA teams throughout the product development lifecycle. Benefits Opportunity to shape the future of fintech in Nigeria by helping deliver products that impact millions of customers. Ownership of solution design and requirement definition for high-impact digital initiatives. Exposure to modern technology platforms, product development practices, and innovative financial services solutions. Opportunity to work closely with Product, Engineering, Design, Data, and Executive Leadership teams. Continuous learning, mentorship, and professional development opportunities. Competitive compensation and the opportunity to solve challenging business and technology problems. A fast-paced, collaborative, and inclusive work environment where innovation is encouraged and growth is a priority. Competitive compensation.

Location: US - Remote; San Francisco, CA; New York, NY; Washington, D.C. Workplace: Remote 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. ABOUT THE PUBLIC SECTOR TEAM - Sierra recently received FedRAMP High https://sierra.ai/blog/certified-fedramp-high certification and were awarded our first contract with a federal agency. We’re now building our founding public sector team to redefine the relationship between the government and its citizenry. - Today, our agents already enable citizens to access social services, report fraud, and understand complex government systems. Simultaneously, they empower government officials to better hear the concerns and inquiries of their constituencies. - We are explicitly nonpartisan and committed to empowering public servants to leverage AI to advance their important missions. - In our journey, 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 Family. These values are the foundation of our work, and we are committed to upholding them in everything we do. WHAT YOU'LL DO - Build and lead Sierra’s public sector sales team: Recruit, develop, and lead a team of account executives serving strategic federal, state, or local government accounts. Set clear expectations, coach for performance, and build a culture of customer obsession, accountability, and consistent execution. - Own revenue growth and territory strategy: Translate Sierra’s public sector ambitions into territory coverage, account priorities, pipeline goals, and revenue plans. Allocate resources thoughtfully, maintain rigorous forecasts, and drive the team to consistently achieve or exceed revenue targets. - Create opportunities around mission outcomes: Build executive relationships with agency leaders and help your team translate priorities such as constituent access, service delivery, workforce effectiveness, and program integrity into compelling AI agent opportunities. Serve as an executive sponsor for strategic accounts. - Guide complex sales cycles from discovery through award: Coach account executives through long, multi-stakeholder government buying processes and engage directly at critical moments. Mobilize cross-functional support for executive alignment, solution development, business cases, security and legal reviews, pricing, proposal strategy, negotiation, and close. - Shape acquisition and capture strategy: Ensure every priority opportunity has a credible path to contract and a disciplined capture plan. Help the team navigate funding, fiscal-year timing, competitive dynamics, and procurement pathways—including GSA schedules, GWACs, IDIQs, BPAs, state schedules, and cooperative purchasing agreements. Lead deal reviews that surface risks early and turn strategy into clear next steps. - Scale Sierra’s partner ecosystem: Partner with public sector and partnerships leadership to build productive relationships with prime contractors, systems integrators, resellers, distributors, small-business partners, and technology providers. Guide decisions about direct sales, subcontracting, teaming, and partner-led transactions to expand customer access and accelerate growth. - Lead strategic prime and teaming relationships: Establish executive alignment with key partners and help shape account ownership, deal registration, workshare, and joint go-to-market plans. Ensure partnerships bring meaningful customer access, past performance, implementation capacity, or procurement pathways—and translate into qualified pipeline and successful delivery. - Drive disciplined pursuit and proposal decisions: Partner with the Public Sector GM on bid/no-bid recommendations and prioritize resources across strategic pursuits. Align sales, legal, security, product, engineering, and delivery teams to produce procurement responses that are compliant, differentiated, and precise. - Stay accountable for customer success: Build trust with senior agency leaders, establish strong handoffs from sales to delivery, and remain engaged through deployment and expansion. Help resolve escalations and ensure commitments made during the sales process support lasting customer relationships. - Build a repeatable public sector go-to-market motion: Work with public sector leadership to refine account segmentation, hiring and capacity plans, capture processes, partner strategy, contract-vehicle priorities, and sales playbooks. Bring market signals and customer feedback to product and company leadership to shape Sierra’s platform and public sector strategy. - Lead an AI-native sales organization: Embed AI into how the team researches accounts, develops outreach, synthesizes calls, plans opportunities, creates proposals, and forecasts. Model effective use, share successful practices, and help account executives spend more time on judgment, strategy, and customer relationships. WHAT YOU'LL BRING - 15+ years of selling experience: Extensive experience in enterprise customer-facing sales role, specifically selling to the U.S. government. - People leadership experience: 10+ years managing, mentoring, and developing a high-performing enterprise sales team. - Enterprise experience: You've run and managed end-to-end complex deals ($1M+). - Strong fluency in government acquisition and procurement, including funding and budget cycles, competitive solicitations, proposal processes, task orders, and common Federal or state contract vehicles. - Experience developing and executing capture strategies before a solicitation is released—not simply responding once an RFP is public. - A strong network and demonstrated ability to work with government technology partners, including prime contractors, systems integrators, resellers, distributors, and small-business teaming partners. - Sound judgment about direct, channel, prime/subcontractor, and teaming models, with the ability to select and execute the right path for a particular agency and opportunity. - The ability to build credibility with agency executives, program leaders, contracting and procurement officials, security teams, and technical stakeholders—and to align those groups around a shared path forward. - Excellent executive communication, negotiation, account planning, and forecasting skills. You are rigorous about details, procurement milestones, and next steps. - A passion for public sector work and a belief in the potential of government institutions to improve outcomes for the people they serve. - Comfort operating with high ownership in an early-stage business: you create structure where it does not yet exist, move with urgency, and collaborate deeply across functions. 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: Hybrid - EMEA About the Job: We are looking for a talented Senior Solutions Engineer at LaunchDarkly,  you will be a trusted technical advisor to our largest and most important Enterprise prospects and customers. This role is a critical part of the Enterprise sales strategy at LaunchDarkly, serving as a trusted technical advisor to sales working to both land new customers and expand existing customers. The ideal candidate will have deep expertise in supporting multiple verticals. An ideal candidate is curious, excels in active listening, quickly and effectively builds custom demos and solutions, and demonstrates profound technical expertise with a customer-centric focus. Responsibilities: Drive technical discovery, architecture design, and PoC implementation throughout the pre-sales lifecycle. Partner with Account Executives and Customer Success Managers to craft compelling technical value propositions. Deliver high-impact demonstrations, workshops, and proposals tailored to C-level and technical stakeholders. Cultivate trust and credibility with customers, identifying technical champions and positioning as a strategic advisor. Liaise between customers and internal Product and Engineering teams to relay feedback and influence product roadmap. Lead cross-regional technical initiatives and enhance SE tools, processes, and frameworks for global scalability. Mentor junior team members, foster technical excellence, and share industry best practices across the SE team. Maintain expert-level knowledge of LaunchDarkly’s platform, integrations, industry trends, and emerging technologies. Respond to RFPs, and manage technical environments to support enterprise sales motions. Translate complex client requirements into scalable, sustainable, and technically sound solutions. Represent LaunchDarkly at industry events and customer engagements through travel as needed. Qualifications: 8+ years of experience in a solutions engineering, sales engineering, or systems architecture customer-facing role. Experience in areas such as the SDLC, cloud architecture, or DevOps. Extensive knowledge of cloud platforms, expertise in at least one (e.g., AWS, Azure  & Google Cloud). Demonstrated excellence in leading & documenting a proof of concept and building technical & deal champions. Excellent communication and presentation skills. Demonstrated history of presenting thought leadership to the broader industry. Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field (or equivalent experience). Experience with security and compliance frameworks PII, PCI, HIPAA, is a bonus Travel & On-Site Engagement: Up to 35% travel, primarily across EMEA, for customer workshops, deal closings, and industry events About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Dallas, United States A rapidly expanding national commercial property services provider is seeking a high-performance Account Manager to spearhead their commercial pest control and property maintenance portfolio within the Greater Dallas area. This position requires a refined blend of structured business-to-business (B2B) outside sales acquisition and high-yield strategic relationship management. Operating directly within the regional marketplace, you will serve as the consultative partner to Property Managers, Regional Supervisors, and Real Estate Ownership Groups to deploy high-value, contractual property compliance and maintenance strategies. For an ambitious business development professional with an established commercial footprint, this role offers an exceptional uncapped earning trajectory within a robust regional corporate infrastructure. Key Responsibilities New Business Acquisition: Execute proactive outbound prospecting, structured cold calling, and targeted local networking to secure long-term contractual agreements across the regional multifamily and commercial sectors. Strategic Relationship Management: Establish, cultivate, and scale deep relational alignments with key decision-makers, regional operational supervisors, and corporate real estate asset managers. Pipeline Architecture: Own and manage the end-to-end commercial sales cycle seamlessly, executing high-yield processes from initial warm/cold outbound engagement through to executive contract sign-off. Value-Based Advisory: Construct and deliver technically sound, ROI-driven service proposals that explicitly communicate financial yield, service superiority, and risk mitigation benefits. Portfolio Expansion & Retention: Partner continuously with current client networks to guarantee baseline contract renewals, defend existing portfolios against market attrition, and systematically cross-sell expanded facilities solutions. Local Ecosystem Integration: Represent the brand as a highly visible industry professional at the Apartment Association of Greater Dallas (AAGD) and affiliated commercial real estate networking functions. Data Infrastructure Maintenance: Maintain flawless, real-time pipeline reporting, transactional progression logs, and corporate communications tracking within Salesforce CRM environments. Position Requirements Professional B2B Experience: Minimum of two (2) years of verifiable corporate business-to-business outside sales experience. Prior technical tenure within structural pest control, commercial facilities maintenance, or B2B property services is mandatory. Quota Achievement: A documentable professional history of consistently achieving or outperforming defined financial quotas, net revenue expansions, and gross profit benchmarks. Core Sales Methodologies: Advanced proficiency in strategic outbound hunt mechanics, enterprise-level gatekeeper navigation, multiline pipeline orchestration, and closing multi-site corporate agreements. Executive Communications: Exceptional command of verbal and written communication, with the professional presence required to deliver boardroom presentations to executive real estate leadership. Modern Technical Proficiency: Expertise navigating complex CRM ecosystems (Salesforce preferred), field data tablets, and standard professional software suites. Territorial Mobility: Possession of a valid driver's license with a clean driving record and the daily capacity for territorial travel across the Greater Dallas geographic footprint. Preferred Qualifications Industry Infrastructure: Direct sales exposure interacting directly with multifamily housing operations, commercial asset portfolios, or regional real estate networks. Regional Professional Network: Existing corporate relationships with Dallas-area property management companies or active professional tenure within the Apartment Association of Greater Dallas (AAGD). Recurring Revenue Knowledge: Prior experience structuring and securing service-based contracts built around recurring contractual pipelines. Compensation, Benefits & Corporate Structure Base Remuneration: $55,000 predictable annual base salary. Performance Incentive: Highly competitive, uncapped, performance-engineered commission structure designed to maximize earnings for high-performing acquisitions professionals. Health Infrastructure: Comprehensive corporate healthcare options including medical, dental, vision, and company-sponsored life insurance programs. Retirement Planning: Structured 401(k) company matching framework with a standard 90-day onboarding full vestment schedule. Paid Leave Framework: Flexible Paid Time Off (PTO) allocation complemented by structured parental and extended medical leave provisions. Corporate Tools & Account Coverage: Complete expense allocation providing full reimbursement for territory mileage, client entertainment, asset tools, and professional association association fees. Continuous Professional Track: Collaborative, feedback-rich environment featuring clear pathways for continuous professional upward mobility. Benefits: 401(k) matching Dental insurance Flexible schedule Health insurance Life insurance Paid time off Parental leave Vision insurance Experience: Sales: 2 years (Required) Pest control: 1 year (Required) Location: Dallas, TX 75244 (Required) Salary: $55,000+ / year

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 The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is looking for a Senior Partner Enablement Manager to own internal and external partner enablement and drive aligned GTM outcomes across our partner ecosystem. Reporting to the Sr. Director of Sales Enablement, you will design and deliver the training, certification, and enablement programs that connect Docker’s partner community — Channel partners, Hyperscalers (AWS, Azure, GCP), Global System Integrators, and Technology ISVs — to a shared, coordinated go-to-market motion. Every program you build, every piece of content you ship, and every internal enablement session you run exists to accelerate GTM outcomes: more partner-sourced pipeline, stronger co-sell execution, and faster revenue through the ecosystem. Docker’s partner ecosystem is a strategic growth lever, and AI Governance (AIG) is our primary co-sell motion. You’ll ensure every partner type understands Docker’s AIG value proposition, knows how to run joint sales plays, and is ready to engage customers alongside our field teams. Equally, you will serve as the internal GTM connector for Docker’s own sellers — equipping AEs, SEs, and CSMs with the partner playbooks, account mapping skills, and co-sell readiness they need to drive pipeline through the ecosystem. If you love building from scratch, orchestrating complex programs across diverse partner types, and making an entire ecosystem move toward a common GTM goal, this role is for you. _______________________________________________________________________ RESPONSIBILITIES External Partner GTM Enablement — Training & Certification - Design, build, and continuously improve training and certification programs tailored to Docker’s partner community across Channel, Hyperscaler, G/SI, and Technology ISV partners — all anchored to enabling partners to execute Docker’s GTM motion. - Develop role-based learning paths that give partners the product knowledge, messaging fluency, and technical depth they need to sell and support Docker effectively — with AI Governance as the primary GTM anchor. - Leverage and extend Docker’s Accreditation Platform to scale partner certification, track completion, and recognize partner expertise across the ecosystem. - Manage certification tracks end-to-end — from curriculum design and facilitation to assessment, badging, and ongoing recertification — tying completion to measurable GTM readiness. External Partner GTM Enablement — Content & Programs - Develop and maintain a library of partner-specific GTM content including joint sales plays, co-sell decks, competitive positioning, product overviews, and objection handling guides — all built to activate partners in the field. - Partner with the Partner team to identify enablement gaps across each partner segment and build scalable programs to close them in service of shared pipeline goals. - Own and administer Docker’s partner enablement infrastructure, with Impartner as the primary partner management and learning platform. - Establish Impartner as a world-class partner portal — driving adoption, improving the partner experience, and continuously optimizing the platform for discoverability and GTM engagement. - Partner with Product Marketing to translate new launches and messaging — especially around AIG — into partner-ready GTM materials that are accessible, timely, and field-tested. Internal GTM Enablement — Enabling Docker’s Field to Win with Partners - Own the internal side of partner GTM: equip Docker’s AEs, SEs, and CSMs to confidently work alongside partners and drive joint pipeline. - Build and maintain “How to Win with Partners” resources for Docker’s field teams — covering account mapping, co-sell cadences, joint pipeline management, and partner engagement models tied to GTM outcomes. - Build co-sell plays and joint sales materials that connect Docker’s AIG story to each partner type’s unique value proposition (e.g., Hyperscaler integrations, G/SI delivery models, Channel resell motions). - Develop and deliver enablement on how to run effective account mapping sessions with partners — including preparation, joint prioritization, and follow-through. - Support account mapping in Salesforce (SFDC) between Docker AEs and partner sales teams, ensuring the right structure and training exists to make joint pipeline sessions productive. - Run internal enablement sessions on partner engagement models, referral and resell programs, and co-marketing strategies to drive joint pipeline and GTM velocity. GTM Velocity & Impact - Drive velocity in Docker’s partner program by ensuring partners are enabled, certified, and ready to engage customers at every stage of the sales cycle. - Track partner readiness KPIs — including pipeline contribution, certification completion, co-sell engagement, and account depth — and tie every enablement investment to measurable GTM outcomes. - Use partner performance data, completion metrics, and field feedback to identify gaps and continuously sharpen programs. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 5+ years of experience in partner enablement, channel enablement, or partner programs in a SaaS or technology company. - Demonstrated ability to design and deliver scalable partner training and certification programs anchored to GTM outcomes — not just content management. - Proven experience managing a partner portal or LMS — Impartner experience strongly preferred. - Strong understanding of channel dynamics, co-sell motions, and partner ecosystem economics across Channel, Hyperscaler, and G/SI partner types. - Experience building or supporting account mapping processes and joint pipeline programs between a vendor’s field team and partner sales organizations. - Excellent communicator — able to engage and build credibility with both external partners and internal field stakeholders. - Strong project management skills with the ability to manage multiple programs and deadlines simultaneously. - Data-driven mindset — you use metrics to prioritize, measure, and connect enablement investment to GTM results. STRONGLY PREFERRED - Experience building partner enablement programs from scratch in a high-growth SaaS environment. - Familiarity with Command of the Message or other structured sales methodologies. - Exposure to AI, containerization, DevOps tooling, or developer platforms — Docker experience a significant plus. - Experience enabling partners around a primary GTM motion or strategic product category (e.g., AI/ML, security, cloud infrastructure). - Experience working cross-functionally with Sales, Marketing, Product, and Partner teams to align enablement with go-to-market priorities. - Demonstrated ability to manage external relationships with partner stakeholders and influence GTM execution without direct authority. _______________________________________________________________________ WHAT TO EXPECT We believe in setting people up to win. Here’s what great looks like in this role: FIRST 30 DAYS — LEARN & LISTEN - Ramp on Docker’s platform, partner ecosystem strategy, and the current state of partner enablement across Channel, Hyperscaler, G/SI, and ISV segments — with a specific eye toward GTM alignment gaps. - Audit existing partner programs, content, and the Impartner platform — understand what exists, what’s missing, and what partners actually need to execute Docker’s AIG GTM story. - Build relationships with the Partner team, Sales leadership, and key partner stakeholders to understand the ecosystem’s GTM motion from the inside out. FIRST 90 DAYS — TAKE OWNERSHIP - Take full ownership of the Impartner platform — establish governance, improve the partner experience, and begin driving adoption tied to GTM engagement. - Deliver the first partner training or certification module (with AIG as the GTM anchor) and gather field feedback to iterate. - Launch at least one “How to Win with Partners” internal enablement resource and one account mapping framework for Docker’s field teams. FIRST YEAR — DRIVE GTM IMPACT - Operate a fully functioning partner enablement program with measurable readiness scores, certification completion rates, and partner-sourced pipeline contribution. - Be recognized by the Partner team, partner community, and Docker’s field teams as the go-to resource for partner GTM enablement, co-sell readiness, and joint pipeline execution. - Demonstrate clear linkage between partner enablement investment and partner-driven GTM outcomes — pipeline generated, quota retired, and account depth increased. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$166,950 – CA$238,500 base United States: $120,400 – $172,000 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.