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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 Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development. Responsibilities: Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio You may be a good fit if you: Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors. Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences Strong candidates may also have some of the following: Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs) Background in transmission planning, interconnection study processes, or grid capacity analysis Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking an experienced Director of Sales Engineering to build and lead Mattermost's global technical presales team. Are you a technical presales leader who has built a team that wins the technical decision, and wants to do it for customers who protect national security and critical infrastructure? Do you want to own how a global team of Sales Engineers demonstrates, evaluates, and proves a platform that runs where other collaboration tools cannot, from classified networks to the tactical edge? Look no further. As the Director of Sales Engineering at Mattermost, you will lead our technical presales engineers. You will set the standard for how we demo, scope, and prove the platform; coach each SE to win the technical evaluation; and be the voice of the field to Product and Engineering. You will partner with regional sales leaders on every strategic pursuit and report to the CRO. Your focus is the technical sale, and your team's work is the reason customers trust us with their most sensitive workflows. We have a role for you if: You have built or taken over a Sales Engineering team, assessed the people and the process, and raised the technical bar within your first two quarters. You have led SEs through complex, multi-stakeholder technical evaluations in security-sensitive or regulated environments, and you know when to run a proof of concept and when to walk away from one. You have deployed or architected self-hosted, on-premises, or air-gapped software, and you can talk credibly with a CISO, a systems architect, and a program office in the same week. You have stood up a repeatable demo and discovery motion so that every SE tells the same story and every customer sees the same quality, regardless of region. You have coached SEs one-on-one on their weakest skill, whether that is discovery, architecture, objection handling, or executive presence, and you can show their win rates moved. You have been the trusted partner to Sales leaders, joining the deal strategy early and giving an honest read on technical fit, risk, and the odds of winning. You have taken field feedback to Product and Engineering and changed the roadmap, with evidence from real deals rather than anecdotes. You have managed a distributed team across time zones and kept it connected, current on the product, and accountable to clear measures. What you will get to do on our team: Lead and develop the global team of technical presales engineers, setting expectations, running coaching, and making the hiring, promotion, and performance calls. Define and own how we demonstrate Mattermost: standard demos, reference architectures, discovery guides, and proof-of-concept playbooks for defense, intelligence, and critical infrastructure buyers. Pair with regional sales leaders to assign SE coverage, join strategic pursuits, and shape technical strategy on the deals that matter most. Keep SEs current on the product by working with Product and Engineering on release readiness, technical certification, and hands-on learning. Bring the voice of the customer and the field back to Product, Engineering, and Security: what blocks deals, what wins them, and what competitors are doing technically. Measure the team on technical win rate, proof-of-concept outcomes, certification, and SE productivity, and report on it regularly to the CRO. What you will achieve: Within 30 days You have met every SE, the regional sales leaders, and the Product and Engineering counterparts you will depend on. You have joined live customer calls and active evaluations, and you know where demos are inconsistent, where SEs are stretched, and which deals are at technical risk. You have a clear read on each person's strengths and gaps. Within 60 days You have a written view of the team's current state and a plan to close the gaps. A standard demo flow and discovery guide are in use on every new opportunity. SE coverage is aligned with regional sales leaders, and you are in the room on the strategic pursuits. Every SE has a development plan and a coaching cadence with you. By 90 days Proof-of-concept scoping and exit criteria are documented and applied on every evaluation. Product readiness and certification expectations are set with Product and Engineering, and SEs are on track to complete them. You are reporting technical win rate, proof-of-concept outcomes, and certification status to the CRO on a regular cadence. By the end of year one Technical win rate and proof-of-concept conversion are up against the baseline you set in your first 90 days with the CRO. The team is fully certified on the current product, any open SE roles are filled with people who ramp on schedule, and Product has acted on the defined number of field-sourced improvements. Regional sales leaders ask for your SEs by name. To be successful in this role, you will need: Experience leading a team of technical presales or solutions engineers, including hiring, coaching, and performance management. Hands-on fluency with enterprise deployment of self-hosted or on-premises software, including security, identity, and integration requirements. Experience running technical evaluations and proofs of concept for enterprise or public-sector buyers. Executive-level communication, with credibility in front of CISOs, architects, and senior sales leaders. Comfort working remotely with a globally distributed team. Nice to have: Background in defense, intelligence, or critical infrastructure, including familiarity with government procurement cycles, security clearance considerations, or CMMC and FedRAMP contexts. Experience selling or supporting Mattermost, Slack, Microsoft Teams, or other enterprise collaboration platforms. Familiarity with Salesforce, Gong, or similar tools for tracking technical activity and win rates. Experience building AI-assisted workflows that make SEs faster, such as demo preparation, RFP responses, or discovery notes. Why Mattermost Mattermost is uniquely positioned at the intersection of secure collaboration, mission software, and intelligence community modernization. Our platform is built for the environments where security is not a feature — it is the foundation. This role offers the opportunity to shape and scale Mattermost's presence within one of the most strategically important and security-sensitive markets in the world. If you thrive in complex, classified environments, understand how mission outcomes drive technology adoption, and want to sell software that protects the nation's most sensitive operations — we would love to hear from you. Target Salary Range: $195,000 – $235,000 USD, plus commission Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information, visit Security Clearances, United States Department of State . Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, 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 Architect to join Beneficial Deployments, focused on helping public health, global health and humanitarian organizations get real value from Claude. You'll be the technical lead for partners such as public health agencies and ministries of health, the institutes and NGOs that support them, and humanitarian organizations working in crisis settings. You'll help them find where Claude makes a real difference, from disease surveillance and outbreak response to health data, communications and program delivery, design solutions that fit their data, privacy and procurement rules, and turn early pilots into lasting deployments. What works for one partner becomes something the whole field can use. Responsibilities Serve as the primary technical advisor to a portfolio of health partners from discovery through deployment, turning their priorities into scoped use cases with clear measures of success. Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications. Guide partners through security review, data governance and procurement, from national agencies to field operations. Run workshops, trainings and tabletop exercises that build AI fluency across partner teams. Build reusable assets (reference designs, connectors, prompt and eval templates) so one partner's work helps the next. Spot patterns across partners, bring field insight back to Product and Research, and help partners measure what changed. Travel to partner sites for workshops, technical deep dives and relationship building. You Might Be a Good Fit If You Have 3+ years in customer-facing technical roles such as solutions architecture, sales engineering, forward-deployed engineering or technical consulting. Experience working with public health agencies, ministries of health, global health or humanitarian organizations, or similarly complex public institutions, including how they buy, adopt, and govern technology. A track record of making technology stick inside slow-moving organizations with many stakeholders. Hands-on experience building with LLM APIs: you can prototype a working demo. You don't need to write production code. Clear written and spoken communication across a broad audience. The ability to explain technical tradeoffs to epidemiologists, program leads, field teams and executives. Patience with long buying cycles, a knack for knowing how to make them go smoothly, and real care for public benefit. Comfort operating in ambiguity: you bring clarity to fuzzy problems, wear multiple hats and do whatever it takes to further the mission. Bonus if you've worked on disease surveillance, outbreak response, health information systems or emergency operations. 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: $240,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City Metropolitan Area; Brooklyn, New York; Manhattan, New York; New York, New York; New Jersey; San Francisco Bay Area, California Workplace: hybrid About us At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.  Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.  Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have: Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What we offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. *No Visa sponsorship We’re real A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. Soft skills interview. Offer discussion.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Enterprise Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel frequently to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: Must have prior experience working with US federal, state, and/or local agencies 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiar with Python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: $275,000 — $315,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is hiring a People Services Partner, Compliance. People Services runs the day-to-day operations that keep the employee lifecycle moving, which includes making sure our processes and programs are compliant. We are looking for someone with a strong People Ops foundation, who is excited to take ownership of our existing compliance workstreams and build the program as the company grows. This is a hands-on role where you will represent People Services in audits, manage our background check program, and prepare and file required reporting. You will work closely with partners across the company (including People Legal, People Systems, Payroll, Internal Audit, and our broader company Compliance team) to turn compliance requirements into clear, scalable processes. Key responsibilities Program management Work with People Services to create and refine processes across onboarding and the employee lifecycle. Manage our global background check program, which includes owning our vendor partnership. Prepare for obligations that come with new locations, headcount thresholds, or new regulations, partnering with Legal to understand them and design solutions. Manage an HR compliance calendar to track compliance programs and deadlines globally. Proactively look for ways to streamline and automate the work in your scope, making compliance easy to navigate for our team and our partners. Audits, reporting, and governance Support internal and external audits by documenting our controls, gathering evidence, and walking auditors through our processes. Collaborate with cross-functional partners on controls that touch multiple teams, ensuring clear roles and responsibilities within these processes. Prepare and file required government reports, partnering with People Systems to build scalable reporting solutions. Serve as the People Services point person on relevant policies, reviewing existing ones and collaborating with policy owners on new ones. Minimum qualifications Have worked on HR compliance and governance across multiple countries (including the United States) Have represented People Operations in internal and external audits Have prepared and filed required government reporting Communicate clearly with partners, auditors, and employees, flexing your communication style for your audience Enjoy navigating ambiguity and being the one to help drive clarity Move quickly without sacrificing quality or introducing risk Preferred qualifications Have 6+ years working in HR/People Ops Have experience building and leading an HR compliance program Have experience scaling a global background check program Have experience managing processes and data in Workday, including building custom Workday reports 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: $235,000 — $235,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Executive Briefing program brings senior leaders from our most strategic customers together with our spokespeople, product leaders, and researchers. As a Program Manager, Executive Briefings, you will run the program at one of our briefing centers and help build the global operating model that ensures an exceptional and consistent experience across the globe. You will be the main program lead for your location and own briefings end to end: qualification and intake, agenda design, speaker selection, and day-of execution. You will set the objectives and design for each agenda and develop it jointly with Sales. You will also be the local account teams' go-to partner on how to use a briefing to move their most important opportunities forward. You will manage the global workstream and set the standard every center follows, so customers get the same quality of briefing wherever they meet us. This is a highly cross-functional role. You will work with regional GTM leadership and the Office of the CCO on account selection and program strategy, with Product Marketing on content, with Solutions on technical deep-dives and demos, with Anthropic's executive bench on sponsorship and participation, and with Workplace, Security, and Revenue Operations on the experience and systems behind every briefing. You will be comfortable running every part of a briefing yourself and maintaining tight alignment with internal stakeholders. Key responsibilities Own the Executive Briefing program at your location: the local calendar, capacity planning, the request and intake process from Sales, and operating SLAs, applied against global criteria and regional allocation Work with regional GTM leadership to decide which strategic accounts receive a briefing each quarter, hold the qualification bar, and proactively surface accounts that should be engaged Lead discovery with account teams before each briefing to understand the customer's objectives, business context, and stage of evaluation, and turn that into a tailored agenda Own agenda design and co-own agenda development with Sales for every briefing, including the narrative arc, discussion topics, speakers, and demos Build and manage the speaker bench for your location: identify, source, and match speakers to briefings, run prep, and manage capacity so no one is over-asked Own day-of orchestration and the customer experience standard at your center, in partnership with Workplace on logistics Contribute to the playbooks, tooling, and best practices that let the program scale consistently across centers while allowing for regional nuance Share intake and triage on a rotation across time zones so every request gets a decision within the defined SLA Maintain one source of truth for criteria, lead times, and process so account teams get one answer Own measurement and reporting for your center and contribute to global reporting on briefing volume, capacity and allocation, strategic-account coverage, and program-influenced pipeline and expansion Onboard and coach briefing team members and contractors across locations Minimum qualifications Experience running executive briefings, customer events, or a comparable program for senior external audiences Program management skills, including intake and prioritization, capacity planning, and managing multiple concurrent programs against SLAs Experience designing agendas and facilitating discussions with C-level or other senior customer audiences Experience building processes, playbooks, or tooling that help a program operate consistently Ability to track, report on, and communicate program metrics such as volume, coverage, and pipeline influence Strong written and verbal communication skills, with the ability to partner credibly with field leadership, executives, and internal subject matter experts Work on site at your briefing center when briefings take place Preferred qualifications 5+ years of experience building or scaling an executive briefing program, or a similar customer-facing program, at an enterprise technology company Experience in a high-volume briefing environment Experience with CRM and reporting tools such as Salesforce, and with connecting program activity to pipeline and expansion outcomes Experience identifying and surfacing speakers for the speaker bench and managing speaker capacity across product, research, and executive teams Experience working across time zones or across multiple sites to set one global standard Experience onboarding or coaching new team members or contractors Familiarity with AI products and how enterprises evaluate and adopt them Interest in Anthropic's mission to build AI that is safe and beneficial 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: £1 — £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Developers increasingly pick their tools through AI assistants and coding agents. When someone asks ChatGPT, Claude, or a coding agent where to deploy their app, we want Render to be the answer. That depends on content that exists, is accurate, and stays current. As Render’s Senior Content Engineer, you’ll own the strategy and the system behind that content. You’ll find the gaps in our content catalog based on how Render shows up in LLM and answer-engine results, decide which gaps matter most, and build and run the content factory that fills them. The role sits close to DX Engineering and is fully focused on content. You’ll work directly with the Head of Developer Experience, the DX team, Render’s docs owners, and external content partners. The primary audience for this content is coding agents and LLMs. You’ll ship focused, technically grounded pieces that help them answer developer questions and cite Render: use-case articles, stack-specific guides, comparisons, and docs. The field is still taking shape, so you’ll test what works and help write the playbook. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Own Render’s content gap analysis. Use AEO benchmarks, citation tracking, and AI agent traffic data to find where Render is missing, wrong, or out-cited in LLM answers, and turn noisy signals into clear priorities. - Turn that analysis into a prioritized backlog across articles, guides, and docs, with clear reasoning for what ships first. - Build and improve Render’s content factory: the AI-assisted pipelines, built on Render Workflows, that research, draft, fact-check, and assist us in publishing technical content. Test changes with evals and keep the system reliable as output grows. - Own the review loop. Make expert review faster and cheaper, track factual accuracy, and keep the quality bar high at higher volume. - Run the refresh cycle for existing content so pages stay accurate as the product changes. - Manage day-to-day work with external content partners: briefs, feedback, quality, and output. - Partner with docs owners to expand docs coverage where it drives citations. - Define and report the metrics that show whether content moves Render’s visibility and signups. Volume published is one input among several. WHAT SUCCESS LOOKS LIKE - The content factory is reliable, well maintained, and keeps up as our content needs grow. - Render shows up more often in agent and LLM answers for the topics the content plan targets. - Content stays technically accurate, and expert review takes less time per piece as output grows. - The content plan responds to gaps in our catalog and to what we learn about Render’s visibility in agent and LLM answers. - We have a plan and a workflow to keep the catalog up to date as the product changes. WHAT WE'RE LOOKING FOR - 5+ years in technical content, developer education, content engineering, or software engineering with a strong content focus, ideally at a developer tools or infrastructure company. - A working understanding of AEO or generative engine optimization (GEO) and how answer engines choose sources. The field is new, so we care about what you’ve built and measured, and how fast you learn. - Strong working knowledge of AI agents. You use coding agents like Claude Code, Codex, or Cursor every day, and you know agent workloads (long-running tasks, tool calls, sandboxed code execution) well enough to judge whether content about them is correct. - A builder’s approach to AI. You’ve built content systems in code (scripts, pipelines, LLM and agent workflows) and use evals to understand what a change affects. Comfortable with Python or TypeScript, Git, and APIs. - Strong technical judgment. You can read a docs page or code sample and tell whether it’s correct. - Sharp editorial taste. You catch weak structure, generic AI-generated prose, and factual errors fast. - Comfort owning a system end to end and holding external partners to a quality bar. NICE-TO-HAVES - Experience running SEO or programmatic content at scale, especially for developer audiences. - Experience with LLM benchmarking or answer-engine measurement. - Experience building agents or MCP servers. - Familiarity with cloud hosting, deployment, or infrastructure products. - You’ve used Render before, professionally or on side projects. PROJECTS YOU MIGHT WORK ON - Sizing the long tail of developer questions where Render should be cited and isn’t, then building the plan to cover it. - Adding an automated fact-check stage to the content pipeline that verifies claims against live Render docs. - Building a refresh system that flags stale content when the product changes. - Running a recurring survey of LLM answers to measure where Render appears and who gets cited instead. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Australia 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 launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.   This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.   You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments. _______________________________________________________________________   RESPONSIBILITIES Build and Scale the Professional Services Practice - Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners. - Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency. - Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap. - Identify offerings that drive product expansion, renewals, and long-term customer value. - Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners. Drive Strategic Customer Outcomes - Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains. - Lead technical discovery and architecture engagements that span enterprise integration layers - Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design. - Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform. - Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions. - Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met. Enable Cross-Functional Success - Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines. - Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities. _______________________________________________________________________   QUALIFICATIONS REQUIRED - 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm. - Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries. - Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments. - Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns. - Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security. - Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance. - Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority. - Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization. - Recognition by enterprise customers as a strategic technical advisor. BONUS - Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns. - Background enabling system integrators, consultancies, or partner ecosystems. - Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government. - Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications. _______________________________________________________________________   WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker's mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers. - Build strong partnerships with Product, Engineering, and Sales functions. - Plug into the team's rhythm of business (standups, reviews, shadow customer engagements). FIRST 90 DAYS - Scope, define SOWs, delivery, and oversight of customer service engagements. - Participate in the creation of reference architectures for key use cases.. - Participate in initiatives to build out and improve the services department's offerings. ONE-YEAR OUTLOOK - Successful delivery and oversight of customer service engagements. - Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices. - Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.   Visa sponsorship: Not available for this role. ______________________________________________________________________ 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: Remote A Software Developer (Market Setup) takes a trading venue from a signed agreement to the first live trade on our platform, then makes the next venue happen sooner. What You Own: one venue, stage by stage: Scoping. Read the venue's specifications; list what the platform has and what is missing; estimate the setup.Scoping. Connectivity. Design it with infra: colocation or proxy, lines, addresses, multicast groups, firewall rules, failover. Protocol adaptation. Adapt our market data and order entry connectors to the venue's binary protocol: SBE, FAST, ITCH and OUCH, Eurex ETI and EOBI, LSE native, or the custom binary protocol a venue publishes for itself; sessions, recovery, throttles, reject handling. Product and risk parameters feed. Pull the venue's raw product definitions and risk parameters, margin rates, price limits, lot and tick tables, position limits, in whatever form they are published, and deliver them complete to the team that normalizes them; you are their source on what the venue's fields mean. Historical data. Convert the venue's archives and captured feeds into our format at volume; validate against live captures. Latency tuning. Measure the path with hardware timestamps against the venue's figures and the strategies' budget; tune host placement, NIC and kernel bypass settings, pinning, the connector's hot path, gateway choice; record the baseline for ops. Certification. Pass the venue's conformance tests and ours: replay, soak, order-flow scenarios, failover. Operations preparation. Write the operating instructions for the desk and ops: sessions and timings, limits, start and stop, failure modes and what to do in each, who to call at the venue. Walk the desk through the first day before it happens. Go-live. First live trade, hypercare, handover. What This Role Is Not: Not the core engine: the engine developers in the same team own it; you adapt and assemble. Not configuration: a venue needs code, in C++ and Python; an LLM writes much of it, you specify, review and test all of it. Not normalization: another team maps the venue's products and risk parameters onto our model; you deliver the raw feed they map from. Not 24/7 operations: the desk and ops run the venue after handover; you write what they run. Not strategy work: researchers decide what and how to trade; you make the venue tradable. What We Look For In You: Solid understanding of data structures, algorithms, and object-oriented programming in C++ Understanding of Linux system internals Decent level of written and spoken English to work in an international environment Performs well in a remote/hybrid team with variable, project-based responsibilities Nice-to-have: In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency. LockFree containers and thinking pattern C programming knowledge (written drivers for Linux system, worked with the core etc.) Why Should You Join Our Team? Full focus on results with no bureaucracy Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Product Manager on the Tenant Scale area within Infrastructure Platforms, you’ll set product direction for how GitLab supports large, complex customers as they grow across departments, projects, and regions. This role focuses on the product choices needed to make tenant data more portable, scalable, and ready for a unified deployment model across GitLab.com, Dedicated, and, over time, Self-Managed. You’ll work on problems that sit at the intersection of product strategy, infrastructure, and customer needs, including how we build a platform to horizontally scale our SaaS architecture, how to enable tenant movement between environments, how isolation and regional requirements are handled, and what needs to be in place to support a more cellular architecture. At the Staff level, your scope extends beyond a single group. Your direction will inform the broader Infrastructure Platforms direction, you’ll make the investment case for unified deployment capabilities, and you’ll be a recognized authority, inside and outside GitLab, on multi-tenant and cellular SaaS architecture. In your first year, you’ll partner closely with engineering and product peers to define requirements, drive alignment, and move this work from concept into a deployment model teams can build on, while coaching fellow product managers as they pick up work from the shared pool. What you’ll do Drive product strategy and direction for tenant scale and unified deployment capabilities across GitLab.com, Dedicated, and future deployment models, informing the broader Infrastructure Platforms direction and moving this work from concept into a deployment model teams can build on in your first year. Set quarterly and annual plans for tenant portability and platform unification, breaking large epics into issues and minimal valuable changes (MVCs) and practicing iteration across multiple groups. Define requirements for our unified deployment platform, including the capabilities needed before tenants can be hosted in a unified deployment unit. Partner closely with engineering counterparts and highly technical teams to turn infrastructure constraints and platform needs into clear product direction. Collaborate with product peers across the platforms organization, including teams working on GitLab.com and adjacent infrastructure areas, and manage with influence to align work that spans more than one group. Engage with internal and external customers to understand needs related to isolation, regional deployment, compliance, and operational readiness, using qualitative interviews to find patterns and sharpen problem statements. Build business cases for investment in tenant scale and unified deployment, including build, buy, and partner options, the cost of isolation, regionality, and compliance, and the expected benefits. Facilitate tradeoff discussions around scalability, tenant encapsulation, deployment consistency, and platform unification, and escalate cleanly to the right level of leadership when decisions or progress are blocked. Translate complex technical concepts into product plans, priorities, and documentation that align distributed teams on delivery milestones for tenant portability and platform unification, using error budgets and other performance indicators to inform direction. Represent GitLab as a trusted voice on cellular architecture and tenant scale in customer calls, events, and other external forums. Coach fellow product managers on direction updates, customer validation, and GitLab’s architecture and tech stack, and support a collaborative team model where product managers share ownership across a common pool of work and step into the areas where they can have the most impact. What you’ll bring Experience managing product work in technical domains such as infrastructure, scalability, platform architecture, software delivery, or cloud services, with results delivered across a range of product areas rather than a single one. Ability to work effectively with deeply technical engineering teams and build credibility in discussions about system design, deployment models, and platform constraints. Knowledge of how SaaS or platform-based systems scale, including concepts such as multitenancy, horizontal scalability, autoscaling, workload isolation, and production readiness, and the ability to build a deep understanding of GitLab’s architecture and tech stack and coach others on it. Comfort working with customers or internal stakeholders on complex requirements, including operational, compliance, or regional deployment needs. Skill in turning ambiguous technical problems into clear product strategy, quarterly and annual plans, priorities, and actionable work. Expertise in qualitative customer interviewing and product validation, with the ability to teach those techniques to others. Experience building business cases, including weighing build, buy, and partner options and forecasting benefits against the competitive landscape. Experience collaborating across product, engineering, user experience, and other cross-functional partners in a distributed environment, using iteration and influence to raise the performance of peers beyond your own group. Strength in clear written and verbal communication, especially when explaining complex infrastructure topics to different audiences, with excellent presentation skills at every level of the company. Recognition as a thought leader in a relevant domain, internally and externally, for example through speaking, writing, or representing your company at customer events and conferences. Openness to candidates who bring transferable experience from engineering, technical support, or adjacent product roles relevant to large-scale platforms. About the team The team sits within Infrastructure Platforms and works on foundational platform capabilities. It partners closely with engineering, adjacent product managers, and internal customers across regions, with a strong emphasis on GitLab’s asynchronous working style and long-term platform thinking. Product managers on the team share ownership of a common pool of work; at the Staff level, you’ll help guide how that work is prioritized and mentor teammates as they take it on. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

• Определять frontend-архитектуру веб-консоли нового поколения; • Создавать инфраструктуру аутентификации и управления сессиями между сервисами;

Location: New York; Florida; Massachusetts; Virginia; Georgia; Pennsylvania Workplace: Remote About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. About the team Product Security at Chainalysis keeps our SaaS platform — used by governments, banks, and crypto exchanges to investigate financial crime — secure by design. We partner directly with product and platform engineering on threat modeling, design reviews, penetration testing, and remediation of findings across our AWS and Kubernetes estate. As a Senior Security Engineer, Infrastructure, you’ll help secure and operate the cloud and Kubernetes environments that support Chainalysis products and our Hosted AI Platform (HAIP). You’ll combine production operations with practical security engineering: responding to platform alerts, troubleshooting infrastructure, and shipping guardrails and improvements through Terraform and Kubernetes. You’ll work closely with Infrastructure Security, Platform Engineering, AI Core, and other engineering partners to address risks at their source and make secure, reliable infrastructure easier to operate. This is a hands-on engineering role for someone who is comfortable in a terminal, has supported production systems, and can take an infrastructure issue from investigation through resolution. In this role, you’ll: - Troubleshoot Kubernetes workloads and cloud services, investigating pod health, logs, errors, latency, and upstream provider issues to find root causes. - Ship reviewed Terraform and Kubernetes changes that strengthen HAIP and broader cloud infrastructure security and reliability. - Improve AWS and edge/network controls—including IAM, networking, secrets, encryption, logging, and Cloudflare—and reduce recurring misconfigurations through reusable patterns and runbooks. - Use Python or similar scripting, monitoring improvements, and cross-team partnership to automate operational work and drive fixes through to completion. - Participate in the AI Product on-call rotation, triage production alerts, communicate clearly, and escalate when needed. We’re looking for candidates who have: - Production cloud infrastructure experience, preferably in AWS, plus working knowledge of security controls such as IAM, networking, secrets, encryption, or logging. - Hands-on production Kubernetes experience: inspect workloads, read logs, and troubleshoot failures using command-line tools. - Experience authoring Terraform changes that have been reviewed and deployed to production; comfort shipping changes through Git and pull requests. - Production on-call or incident-response experience, including alert investigation, clear communication, and sound escalation judgment. - Python or similar scripting ability, familiarity with monitoring/logging tools - Experience working with stakeholders across the R&D organization to collaborate and resolve security issues with urgency and a team-first approach. NICE TO HAVE: - Experience operating AI/ML infrastructure, LLM platforms, or services integrating with model providers; familiarity with AI gateway concepts such as model routing or quotas. - Experience with Cloudflare or other edge/network security controls. - Exposure to cloud security posture management tools such as Wiz, Prisma Cloud, or Orca. - Experience with GitOps tools such as Argo CD or Flux. - Familiarity with blockchain, crypto, fintech, or regtech infrastructure. TECHNOLOGIES WE USE: - Cloud and containers: AWS, GCP, Kubernetes (EKS/GKE) - Infrastructure-as-Code: Terraform - Security tooling: Wiz, SonarCloud, Burp, Cloudflare - CI/CD and source control: GitHub, GitHub Actions, Artifactory and related build/deploy tooling - Languages and scripting: Java, JavaScript, Python, Go - AI Coding Agents, Tooling, Systems AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

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

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Enterprise Account Executive at Anthropic based in Seoul, you’ll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises within Korea’s Healthcare & Life Sciences space — pharmaceutical and biotech companies, CDMOs and CROs, medical device and diagnostics makers, hospital systems, and digital health companies — unlocking new value streams throughout their business. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Korean landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic’s emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities Win new business and drive revenue for Anthropic in Korea. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze the Korean Healthcare & Life Sciences landscape, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases across R&D, clinical development, regulatory and quality, manufacturing, and patient- and provider-facing functions. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge Help customers navigate Korea’s healthcare regulatory and data environment, including Ministry of Food and Drug Safety (MFDS) and Ministry of Health and Welfare (MOHW) requirements, the Personal Information Protection Act (PIPA) and Medical Service Act as they apply to patient data, and GxP/validation expectations Inform product roadmaps and features by gathering customer feedback and conveying the needs of the Korean market. Provide insights that strengthen our value proposition and enhance the customer experience Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have 8+ years of enterprise Healthcare & Life Sciences sales experience in Korea, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach A genuine understanding of how Korean hospitals and life sciences companies make technology decisions, including the role of regulators, quality and compliance functions, and IT governance A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills in both Korean and English, and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications 8+ years of enterprise sales experience in Korea, with significant exposure to financial services A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review Proven experience exceeding revenue targets within financial services accounts Excellent communication skills in both Korean and English A passion for AI built and deployed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Москва, удалённая работа, RU; Россия О команде Юнит Support Automation разрабатывает и развивает внутренние сервисы и инструменты, которые помогают автоматизировать работу с пользовательскими обращениями в поддержку. Команда отвечает за метрики эффективности систем автоматизации и удовлетворённости пользователей в автоматизированной части потока. Юнит состоит из кросс-функциональных команд, которые работают с разными этапами обработки обращений: первичной классификацией, RAG-системами, LLM-агентами и оценкой автоматизированных сценариев. Какие задачи вас ждут: — строить и улучшать RAG-систему поддержки: retrieval- и generation-части; — настраивать и поддерживать безопасность процесса: создавать гардрейлы, обеспечивать надёжность работы и снижать риск галлюцинаций; — разрабатывать мультиагентные системы, которые помогают пользователям решать вопросы по определённой теме обращения, оптимизировать промпты и инференс моделей; — анализировать эффективность решений на исторических данных и в продакшене с учётом офлайн-метрик качества решения ML-задач и бизнес-метрик; — экспериментировать с SOTA-методами машинного обучения, когда их применение оправдано задачей; — разрабатывать и внедрять модели для определения тематики обращений пользователей: более 500 интентов, которые постоянно расширяются новыми и объединяются друг с другом; — поддерживать и улучшать существующие модели и эвристики для разных классификаций обращений: от простых правил и эвристик до ML-систем с онлайн-инференсом LLM-моделей; — проектировать и внедрять сквозные ML-решения, а также готовить дизайн и запускать A/B-тесты совместно с аналитиками; — отслеживать деградации и изменения метрик в продакшене. Мы ждём, что вы: — не менее 2 лет работали в Data Science в NLP-домене; — строили RAG-системы и оценивали их качество в продакшене; — понимаете принципы построения AI-агентных систем; — имеете опыт работы с NLP-задачами в продакшене; — внедряли ML-модели в продакшен; — пишете поддерживаемый, тестируемый и масштабируемый код на Python; — владеете стеком PyTorch, pandas, NumPy, Docker; — работали с агентными библиотеками: ADK, LangGraph, PydanticAI или аналогами; — работали с self-hosted LLM 8B+ в продакшен-задачах; — понимаете ML-алгоритмы: классические подходы и основные архитектуры нейронных сетей; — используете агентную разработку в рабочих задачах или пет-проектах; — знаете, как при необходимости организовать разметку, в том числе с помощью LLM. Будет здорово, если вы: — работали с разными модальностями данных и понимаете, какие методы ML/DL применимы в конкретных бизнес-задачах; — получили высшее образование в области прикладной математики, статистики, ML или в смежных областях; — уверенно владеете SQL и умеете извлекать необходимые данные для анализа и обучения моделей; — умеете оценивать качество моделей при запуске нового проекта и отслеживать его изменение во времени; — при запуске модели учитываете не только ML-метрики, но и влияние решения на бизнес-метрики, за которые отвечает команда; — имеете опыт автоматизации поддержки или похожих бизнес-процессов. Работа у нас — это: — возможность влиять на пользовательский опыт и развивать ML-продукты Авито; — исследовательские и инженерные задачи в продуктах Support Automation; — культура взаимопомощи и обмена опытом в DS-сообществе; — прозрачный карьерный трек и инструменты для роста: семинары, менторство, митапы; — мощное оборудование, AI-инструменты и всё, что нужно для продуктивной работы; — расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; — сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; — корпоративный спорт: групповые тренировки, велбиинг-приложение; — спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; — компенсация питания.