Вакансии

Location: Atlanta, GA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Responsibilities Underwriting Framework and Credit Policy: — Design the fund's underwriting framework from scratch: credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one. — Build the data edge into the process: integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage. Deal Underwriting and Structuring: — Lead the underwriting of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis. — Structure facilities: term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing. — Draft and negotiate term sheets and credit documentation with borrowers alongside external counsel. Credit Committee and Governance: — Stand up and run the credit committee process: present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny. — Establish portfolio monitoring: watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds. LP Diligence and Fundraising Support: — Be the credit face of the fund: appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence. — Support capital formation: help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation. Credit Playbook and Team Building: — Codify the credit playbook: standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready. — Build the bench: as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer. Qualifications and Skills Experience: — 7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions. — Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. — Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus. — A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it. Skills and Competencies: — Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation. — The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal. — Enjoys mentoring junior team members and building a strong credit culture as the team grows. — Comfort operating in a lean, fast-moving team where you build the machine you then operate. Education and Credentials: — A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred. Benefits: — 100% company-paid medical, dental, and vision plans. — Unlimited Flexible Time Off. — Personalized career roadmap for each employee. — Professional development through training and educational opportunities. — Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.

Location: San Francisco, CA | New York City, NY | Washington, DC 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 Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work. Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role. Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization. You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on. Key responsibilities Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions Can do rigorous technical analysis of weapons systems using only open sources Are comfortable with ambiguity and drawn to problems that have no established playbook Are motivated by preventing misuse without obstructing the legitimate work in the field Preferred qualifications A working understanding of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories Trust & safety or product policy experience at a technology platform 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: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 a Channel Partner Manager for Korea, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Korean market. You will work at the intersection of cutting-edge technology and Korea's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Channel Partner Manager, you will focus on growing the partner Anthropic reseller and services business in Korea and achieving quarterly revenue and partner attach targets through new customers and upsells. You'll be the local owner of these partner relationships in Korea. Our partners will look to you for everything that makes the channel work day to day from initial onboarding to deal registration, enablement, billing and contracting questions, escalations. Our internal teams will look to you for what is happening in the market, how partners are driving new opportunities and growth within existing customers. You'll work closely with the local sales team and the central program team, co-selling on partner-sourced and partner-influenced opportunities and managing direct versus partner conflict as deals arise. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. Much of the process for running the channel in Korea doesn't exist yet, and building it will be a large part of the job in the first year. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This is an early role in a new market for a program we expect to grow well beyond its first two countries. The habits you establish with our first partners in Korea will shape how the program works everywhere else. Key responsibilities Own the day-to-day relationships with Anthropic's strategic resellers and system integrators in Korea, acting as their primary local point of contact, including billing, contracting and general queries Own deal registration and pipeline discipline with partners, making sure registrations are submitted and validated, conflicts are cleared, and named end-customer reporting is complete on every deal Forecast and report partner pipeline and performance against the quarterly revenue and partner attach targets, and own the Korea channel number with the central program team Negotiate resale agreements and commercial terms with partners alongside the central program team and Legal Co-sell with the local account team on partner-sourced and partner-influenced opportunities, and manage direct versus partner conflict as deals arise Develop and execute business plans with System Integrators and strategic resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Korean partner organizations, navigating complex organizational structures and decision-making processes Support partner onboarding end to end, from diligence and agreement execution through readiness ahead of launch, including for partners who join the program after launch Coordinate partner certification and enablement with the central enablement lead, including Korean-language delivery and ongoing recertification Manage Anthropic's counterpart relationships with the cloud hyperscalers AWS, Google Cloud and Microsoft Azure in Korea, including the Marketplace private offer motion that reseller deals run through Work with the central program team on program governance, margin mechanics, and escalations, and build the local processes and working rhythms the channel needs where none exist yet, feeding what you learn from partners back to the program team Run regular business reviews and QBRs with each partner against the joint plan Own partner co-marketing in Korea, agreeing a joint marketing plan with each partner and Channel Marketing, funding it through MDF where it qualifies, and delivering the announcements, campaigns, webinars and events that turn the partnership into pipeline Minimum qualifications Experience managing channel or reseller partner relationships in enterprise software or cloud Experience working with large Korean systems integrators or cloud managed service providers, and an understanding of how partner-led selling works in Korean enterprise, public sector, and financial services accounts Working knowledge of channel program mechanics such as deal registration and partner tiering Full professional fluency in Korean and professional working proficiency in English, written and spoken, including the ability to deliver enablement to partners in Korean Comfort joining a new program early: hands-on, structured, and able to build process where none exists yet Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience with cloud marketplace resale, particularly AWS Marketplace private offers, or with AWS partner teams more generally Familiarity with margin and rebate mechanics in a partner program Experience bringing existing, informal partner activity into a structured program, or joining a partner program at or before launch Experience on the systems integrator or managed service provider side of a vendor relationship, as well as the vendor side Familiarity with how enterprises and public sector organizations in Korea are evaluating and adopting AI Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel Required) | San Francisco, CA 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 Data Center Operations (DCO) team ensures compute fleet availability through hardware and IT operations. At our partner-operated sites, this role manages the interface between Anthropic and the strategic site operations partner performing day-to-day data hall work. As the site lead, you own site outcomes for your assigned sites including: deployment velocity, availability, and incident response. Rather than managing operations staff directly, you provide tactical direction, set priorities, and define the standards for the vendor's on-site teams, paired with performance oversight and ongoing operational assessment to ensure all operational commitments are met. You will define the operational processes, quality gates, and governance rhythms for partner-operated sites. Expect to build the playbook as much as you run it, not just at a site level, but defining and developing program improvements fleet-wide. What you’ll own Operational outcomes. Own site availability, deployment milestones, and repair turnaround, verified with independent data rather than vendor self-reporting. Vendor direction. Set daily and weekly priorities and lead the operating cadence, including standups and business reviews. Process definition. Author and improve procedures for deployment, break-fix, change management, security, and EHS compliance. Analyze operational trends and standardize lessons across the program. Performance management. Track vendor performance against SLAs and staffing commitments, driving corrective actions when necessary. Incident response and on-call. Participate in the incident escalation on-call rotation. When designated Anthropic Incident Commander for a site-specific incident, direct vendor response, own communications, and close out post-incident actions. Internal interface. Translate engineering requirements into vendor direction and communicate site constraints and risks to leadership. Representative work Leading weekly operations reviews and scorecards with vendor site leads. Directing deployment surges to meet first-compute-online milestones. Analyzing failure patterns to identify root causes and driving fixes with owners. Creating break-fix ownership matrices and training vendor teams. Serving as Incident Commander for facility events and producing post-mortems. Establishing operational readiness for new data halls, including spares and security. Identifying process gaps and codifying improvements as program standards. You may be a good fit if you Have 8+ years of experience in data center operations (hardware, IT infrastructure, or critical facilities) as a manager, technical lead or related role, including accountability for production availability. Have managed vendors, MSPs, or contract workforces to measurable outcomes: SOWs, SLAs, operational reviews, and corrective action. Carry hands-on technical depth in server, network, and rack-level infrastructure, enough to independently verify vendor claims and audit quality. Have built or substantially improved operational processes, not just run them. Have served in an incident command or lead-responder role and communicate clearly under ambiguity. Can support non-standard hours, including an on-call rotation and availability during deployment surges and maintenance windows. Bachelor's degree in relevant domain or equivalent practical experience. Strong candidates may also have Experience with third-party colocation providers or partner-operated sites, delivering IT operations outcomes inside a facility someone else runs. Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment. Experience with GPU/accelerator or high-density liquid-cooled infrastructure. Familiarity with multi-vendor sites where facilities and IT operations are performed by different partners. Experience leading projects from initiation to completion across teams you didn't own. Background in incident management frameworks, contract/SLA design, or EHS programs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables. Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts. Factory acceptance and in-process quality Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing. Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability. Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready. Nonconformance and corrective action Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods. Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement. Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs. Metrics and continuous improvement Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews. Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT. Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them. Who You Are 6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry. Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other. Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation. Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent. Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them. Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own. Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership. Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience. Nice to Have Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models. Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require. Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing. ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification. Experience standing up a supplier quality function or QMS from a small base. Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar). Logistics Location: [San Francisco / hybrid — or remote US with hub access?] Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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's Tax team is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company. What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream. Key responsibilities Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar Own cash tax forecasting and support tax authority notices, examinations, and audit defense Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns) Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated Mentor and develop tax team members and help build the function as the company grows Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships Minimum qualifications Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners Hold a CPA; a Master's in Taxation or LLM is a plus Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template Preferred qualifications Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing An interest in applying AI tools to tax workflows 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: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Toronto; Canada; London; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! About North: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. In this role, you will: - Build and ship features for North, our AI workspace platform - Develop autonomous agents that talk to sensitive enterprise data - Write and ship minimal code that runs in low-resource environments, and has highly stringent deployment mechanisms - As security and privacy are paramount, you will sometimes need to re-invent the wheel, and won’t be able to use the most popular libraries or tooling - Collaborate with researchers to productionize state-of-the-art models and techniques You may be a good fit if: - Have shipped (lots of) fullstack code (Python and React) in production - You excel in fast-paced environments and can execute while priorities and objectives are a moving target - You’ve worked in both large enterprises and startups - You have strong coding abilities and are comfortable working across the stack. - You’re able to read and understand, and even fix issues outside of the main code base - You have built and deployed extremely performant client-side or server-side RAG/agentic applications to millions of users. - Bonus: You love art and have an eye for design and a creative mindset - A plus, if you have a portfolio, GitHub or other showcases of your projects. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. Authorization – What you can do. The policy framework for model, membership, role, and resource access. Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: Designing credentials for agents and long-running autonomous workloads. Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. Global distribution and multi-region failover for some of the company’s most mission-critical services. Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have Experience with globally distributed databases and multi-region service architecture. Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Claude Platform serves developers and enterprises at scale. The Developer Experience (DevX) team owns the surfaces those developers touch every day: the Console, the docs platform, and our SDKs and CLI. Our job is to make the Platform easy to adopt and trustworthy enough to build critical applications on, to get new model and API capabilities into developers' hands fast and ergonomically, and to build for both humans and the coding agents that increasingly use our docs and SDKs on their behalf. The work splits into two workstreams, covered below, and we need your help across both. What you'll do DevX Core: You'll help drive technical direction for the Console and docs platform — the surfaces every developer on the Claude Platform uses — working with product and design from problem definition through launch. The Console is also the front door for tens of internal teams shipping their own features onto it, so you'll set the platform patterns and standards they build against. SDKs: You'll own the SDKs across seven languages plus our CLI — the first thing most developers (and most coding agents) touch when they integrate Claude. You'll partner with API teams early so every new platform capability lands in the SDKs as an idiomatic, ergonomic feature on day one, and you'll drive the code generation, testing, and release pipeline that keeps seven languages consistent and shipping fast. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, developer-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc) What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Collaborate with engineering and product leaders to align testing priorities and business objectives. Skills We’re Looking For 6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite. Experience working with backend automation frameworks. Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. Deep understanding of database internals Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills​ Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios. Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure). Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Talent Attraction Partner - Location: Espoo, Finland - Department: Talent Attraction - Reports to: Talent Attraction Lead - Employment type: Contract - Workplace model: Hybrid (3 days / week onsite) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Talent Attraction Partner, you’ll be the engine behind hiring for ICEYE’s Global Manufacturing Organisation — owning full-cycle recruitment across manufacturing, supply chain, logistics and other areas. You’ll act as a strategic partner to hiring managers, using sharp market insight to identify and secure the talent that drives ICEYE’s growth. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Deliver impact hires: Manage ~8–10 concurrent roles, achieving quality & efficiency metrics - Source and engage niche talent: Build data-informed sourcing campaigns for hard-to-fill roles across manufacturing, supply chain, logistics and other areas. - Partner with hiring teams: Act as a trusted consultant and process owner, guiding managers through structured, fair, and evidence-based hiring decisions. - Drive process excellence: Uphold rigor and consistency in ATS workflows, ensuring compliance and a best-in-class candidate experience. - Enhance TA capability: Share best practices, insights, and market data to help strengthen recruiting acumen across the broader team. WHAT WE’RE LOOKING FOR MUST HAVES: - Full-cycle Talent Acquisition Expertise: Manages the entire recruitment lifecycle independently across manufacturing, supply chain, logistics and other areas. - Creative Sourcing & Market Intelligence: Designs and executes data-informed sourcing strategies for niche and hard-to-fill roles. - Assessment Design & Bias Mitigation: Builds structured, evidence-based interview processes that ensure fairness and predictive validity. - Stakeholder Partnership & Influence: Acts as a trusted advisor to hiring managers, balancing business needs with talent quality and process integrity. - Operational Rigor & Prioritization: Manages multiple parallel searches efficiently, maintaining process consistency, compliance, and a high-quality experience for candidates and hiring teams. - Adaptability & Judgement Under Pace: Maintains clarity, composure, and sound decision-making in a high-growth, fast-moving environment, adapting priorities without compromising quality or alignment to mission goals. NICE TO HAVES: - Experience recruiting for defence, space, deep-tech, or other mission-driven industries. - Familiarity with market intelligence tools and the ability to translate data into sourcing strategy. - Prior experience in a high-growth scale-up or international environment. APPLICATION PROCESS - Recruiter screen (30 min) - Hiring manager interview — competency and role-fit (60 min) - Practical task - stakeholder scenario - Final panel interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters — and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us — we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Warszawa, Poland Workplace: hybrid We are looking for a Senior/Expert Technical Artist to help us create high-quality materials and technical art solutions for Frostpunk 1886 . You will work closely with artists and programmers, build shaders and tools in UE5, and help keep assets optimized and production-ready. What will you be doing on a day-to-day basis? Create high-quality materials and shaders in UE5. Build and maintain Blueprint- and code-based tools for the art team. Create and update documentation for tools, workflows, and engine limitations. Help with optimization, profiling, and debugging in the final product. Work with Art Leads, Technical Directors, programmers, and QA to make sure assets meet technical requirements. What will help you succeed in this role? For a senior position: Good knowledge of UE materials and shading workflows. Solid understanding of the UE5 rendering pipeline, including PBR and post-processing. Experience with UE Blueprints for tools or gameplay-supporting systems. Practical approach to problem-solving and a good understanding of optimization. At least one shipped title or completed commercial project. For an expert position, we also require: Deep, production-proven knowledge of UE5 materials, shaders, and rendering. Experience designing scalable material, shader, and technical art workflows. Strong understanding of GPU performance, profiling, and optimization. Ability to take ownership of complex technical and visual problems and drive them to resolution. Experience mentoring other artists and defining technical best practices. Please remember to include your portfolio (link or file) with your application, as this is one of the evaluation criteria. Nice to have Knowledge of VFX or lighting. Experience with procedural workflows (e.g. Substance Designer or other node-based tools). Familiarity with shader languages such as HLSL or GLSL. Background in 3D software such as Blender, 3ds Max, or Maya. Experience working closely with both artists and programmers. What we offer? Health and Wellness psychological support/care private medical package Multisport Development team training budget in-office library Our office near Metro Stadion Narodowy and Dworzec Wschodni stations dog-friendly in-house gym no dress code car and bike parking chill zone video, board and arcade games Working conditions flexible working hours hybrid work (3 days from office, 2 days from home + additional pool of remote days per year) 20 or 26 days of fully-paid holiday leave international working environment Events and more attendance in game dev events relocation budget for candidates from abroad referral program annual company events merch/swag

Location: Espoo Workplace: Hybrid Role highlights: - Supplier Quality Engineer - Electronics - Location: Finland - Department: Mission Assurance & Reliability - Reports to: Manager, Mission Assurance & Reliability - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: As a Supplier Quality Engineer - Electronics, you’ll play a key role in ensuring the quality, reliability, and scalability of ICEYE’s external manufacturing ecosystem. You will drive supplier quality activities across the full supplier lifecycle, from supplier selection and qualification to ongoing performance management and continuous improvement. Working closely with Supply Chain, Engineering, AIT Engineering, and external manufacturing partners, you will help ensure that critical electronic components and assemblies meet the highest standards for mission-critical space hardware. Your work will directly support ICEYE’s ability to deliver reliable, manufacturable, and high-performance systems at scale. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Lead supplier preselection activities and supplier audits to assess capability, maturity, and compliance with ICEYE and industry standards - Define and communicate technical and quality requirements to suppliers, ensuring clear understanding and consistent compliance across the supply chain - Monitor supplier performance through quality, delivery, and responsiveness metrics, driving corrective and continuous improvement actions where needed - Manage supplier change requests, part approvals, process approvals, and configuration control activities together with Engineering and Configuration Management teams - Lead supplier part qualification activities to ensure compliance with technical, quality, and regulatory requirements before production release - Identify and proactively mitigate supplier-related risks to support continuity of supply, product quality, and delivery performance - Collaborate closely with Design and AIT Engineering teams to improve manufacturability and inspectability of electronic assemblies and components - Act as the primary point of contact for supplier-related quality issues, including non-conformances, deviation requests, and waiver management What we’re looking for Must haves: - Degree in Engineering, preferably in Electrical Engineering, Electronics, Aerospace Engineering, or a related field - Strong experience in supplier quality management for high-reliability electronics, including audits, qualification activities, and supplier performance management - Deep understanding of electronics manufacturing processes and requirements for high-performance / harsh-environment electronic products, including PCB assembly, cable and harness assembly, and inspection methodologies. - Experience managing non-conformances, root cause analysis, corrective and preventive actions in high-reliability manufacturing environments - Ability to read and interpret schematics, PCB layouts, bills of materials, and detailed technical specifications - Strong understanding of traceability, configuration control, and change management for mission-critical hardware - Data-driven mindset with the ability to analyze supplier performance and identify improvement opportunities - Strong communication and stakeholder management skills across suppliers and cross-functional internal teams - Ability to drive results and influence decisions without direct authority - Structured problem-solving approach with strong analytical thinking skills - High level of ownership with a proactive and hands-on working style - Ability to manage multiple priorities in a fast-paced and evolving environment - Ability to travel at least once a month to meet with our suppliers Nice to haves: - Familiarity with IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and ECSS standards - Experience working with ERP systems in production environments - Experience in aerospace, defense, automotive, or other high-reliability manufacturing industries Application Process - Screening - Initial Interview - Task & Presentation - Final On-site Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Taguig, Philippines Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We are looking for a Client Partner / Sales Manager to join our Reddit Ads team in the Philippines — a driven, commercially sharp sales professional with a hunter mindset who is passionate about building new business from the ground up. This is a great opportunity for someone with a background in media sales, digital advertising sales, or business development who wants to grow their career in the Philippines' fast-expanding digital advertising and agency ecosystem based in BGC, Taguig. What You Will Do: Drive new business acquisition with a strong focus on hunting and prospecting. Identify, pitch, and close opportunities with brands and agencies. Build and grow a strong pipeline of advertisers for Reddit Ads. Develop and maintain relationships with key clients and media agencies. Collaborate with internal teams to deliver impactful advertising solutions. Consistently meet and exceed revenue targets in a competitive market. What We Are Looking For: 2–4 years of experience in media sales, digital advertising, ad sales, or related fields Strong hunter mindset with a proven ability to unlock new business Experience in media sales or digital ad sales is highly preferred Strong understanding of digital advertising ecosystems and the programmatic/social media landscape Agency relations experience (media agency or advertising agency background) is an added advantage Excellent communication, negotiation, and relationship-building skills Self-driven, proactive, and comfortable working in a target-oriented, KPI-driven environment Why Join Aleph: Be part of the team representing Reddit Ads in one of Southeast Asia's fastest-growing digital advertising markets Play a direct, revenue-generating role in shaping Reddit's new business strategy in the Philippines from the ground up Work alongside a collaborative, high-performing sales and agency-relations team based in BGC, Taguig Access to global platform partnerships and training that support long-term career growth in digital media sales Competitive, performance-driven culture where hunting new business is recognized and rewarded Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible