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Location: Palo Alto; New York; San Francisco Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As an AI Scientist, you will research and develop novel methods to advance the capabilities of large language models. This role exists to push the boundaries of what AI can achieve, enabling Mistral to deliver systems that transform how businesses operate and integrate into daily life. You will join a team of engineers and scientists focused on building tooling and infrastructure to train, evaluate, and analyse AI models at scale. Your work will span multiple use cases and modalities, from reasoning and code generation to text, image, and speech processing. The impact of this role is far-reaching, as you will collaborate cross-functionally to ship AI systems that have real-world applications and open-source frontier models for global benefit. WHAT YOU WILL DO - Research and develop innovative methods to advance the frontier of large language models. - Build tooling and infrastructure to enable large-scale training, evaluation, and analysis of AI models. - Collaborate with scientists, engineers, and product teams to deploy AI systems with tangible real-world impact. - Design and implement solutions that address complex challenges in AI model development and deployment. - Contribute to the open-source community by releasing cutting-edge models and tools. WHAT WE'RE LOOKING FOR - A strong publication record in a relevant scientific domain, such as machine learning or natural language processing. - High proficiency as a software engineer in at least one programming language, such as Python, Rust, Go, or Java. - Hands-on experience with AI frameworks like PyTorch or JAX, or distributed systems such as Ray or Kubernetes. - A self-starter mindset, with the autonomy to drive projects forward and the ability to work effectively in a team. - Experience with training large transformer models in a distributed manner. - Familiarity with the full MLOps stack, including fine-tuning, evaluation, and deployment. - Experience with audio or speech processing, including input/output and NLP.   WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Configuration Manager - Location: Valencia, Spain - Department: Manufacturing Assurance; Global Manufacturing Organisation - Reports to: Configuration and Change Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: We are looking for a highly skilled Configuration Manager to join our Configuration Management and Change Control team within the Global Manufacturing Organization (GMO). In this role, you will play a crucial part in executing our CM functions across multi-domain environments and ensuring flawless product data integrity for multi-site manufacturing. As a Configuration Manager, your mission is to actively bridge engineering and manufacturing by capturing product information, structuring it effectively, and managing changes throughout the product lifecycle for the local production site. Reporting to the global CM Team, you will act as a subject matter expert, driving configuration consistency and ensuring changes are rigorously controlled and documented within the local site. 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   - Execute and support the continuous improvement of the Configuration Management Standard Operating Procedures (CM SOPs). - Establish and manage product baselines for assigned segments, ensuring absolute data consistency across PLM, ERP and MES systems. - Independently manage the day-to-day change management process for assigned projects; process ECRs, ECOs, RFDs, and RFWs, and actively participate in or facilitate Change Control Boards (CCB). - Structure and maintain EBOM/MBOM as well as CIDL/ABCL configurations, ensuring seamless transitions and accurate product breakdowns. - Apply and enforce item classification schemes, part numbering conventions, and product breakdown structures across hardware and software. - Ensure that all relevant personnel at the site are trained on CM processes, workflows, and system usage, and maintain awareness of updates or changes to established procedures. - Act as an ambassador for the PLM and MES platforms, proactively guiding cross-functional teams on CM best practices and effective system utilization to drive adoption, streamline workflows, and protect data integrity. - Collaborate closely with program managers, engineers, supply chain, and quality assurance to resolve configuration issues and maintain integrity. - Track and compile CM metrics, KPIs, and configuration status reports for your assigned projects, identifying risks and proposing solutions. - Adapt CM practices to suit a rapid-paced environment, balancing prototype cycles, design iterations, and multi-program concurrency. WHAT WE’RE LOOKING FOR MUST HAVES: - Engineering background (Bachelor’s in electrical, electronics, mechanical, aerospace, or a relevant engineering discipline). - 4 to 6 years of experience in configuration management or a closely related engineering discipline within the aerospace, defense, or automotive industry. - Working knowledge of configuration management standards (e.g., ECSS-M-ST-40, EIA-649, or MIL-STD-973). - Experience with hardware and/or software configuration management within a multi-domain product environment. - Demonstrated experience processing change documentation and actively contributing to a CCB. - Strong understanding of the distinction between EBOM and MBOM, product breakdown structures, and item classification methodologies. - Hands-on experience with at least one PLM system (e.g., Arena, Windchill, Teamcenter, Enovia, Aras) and familiarity with an MES or ERP system. - Ability to work independently and collaboratively in a fast-paced environment where processes are still maturing. - Fluent in English. Spanish is a plus. NICE TO HAVES: - Familiarity with ground segment or mission operations system architectures. - Exposure to software CM concepts (version control, branching strategies, CI/CD pipelines). - Demonstrated experience in programming and AI tools for creating automations, tools and for day-to-day use - Experience assisting in the implementation or testing of PLM/MES system updates. - Certification or coursework in CM (e.g., CM2, CMIPC, NDIA CM training). - Experience in a manufacturing scale-up or transition environment. APPLICATION PROCESS - Talent Screening - Hiring Manager Interview - Assessment and Presentation - Final 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. Base salary range for this position is dependent on experience, and will be negotiated individually. 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: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking a Total Rewards mastermind to lead the design and enhancement of our global Total Rewards strategy. In this exciting new role, you will lead a talented global team in shaping the future of our compensation policies. You will be driving the implementation of both short-term and long-term incentive plans, collaborating closely with senior leadership and HR teams to resolve compensation and benefits challenges. Your expertise will guide benchmarking studies, optimize annual compensation processes, and continuously improve our rewards approach. What You’ll Be Doing Design and build up C&B policies and guidelines that ensure competitive pay positioning, including but not limited to global compensation structure, global benefits programs and tailored compensation tools. Drive the design and implementation of company-wide short-term and long-term incentive programs. Serve as the focal point with business functions, crafting and executing communication strategies that secure stakeholder buy-in and support. Advocate for and influencing senior management on new Total Rewards strategies. Effectively partner with the business, HRBPs and other HR functions to manage, consult on, and resolve complex compensation and benefits matters. Lead the team in conducting benchmarking studies to analyze and evaluate the effectiveness of current policies and guidelines, identifying gaps and recommending areas for enhancement. Oversee the execution of annual C&B programs, including the annual salary review, Long-Term Incentive (LTI) grants, benefits reviews, salary surveys, etc. Guide the team in delivering training to HR staff and business leaders on processes and best practices within the Total Rewards framework, ensuring direct interaction with employees at all levels. Drive the design and improvement of workflows and procedures to maximize efficiency, managing programs from a project management perspective. Manage short to long-term planning, policy and program development, and recommend new approaches to support continuous improvement. What We Look For In You Bachelor’s Degree with solid knowledge and experience of global Compensation & Benefits design including but not limiting to broad-based compensation, short-term and long-term incentive program design and implementations, and annual focal reviews. Self-motivated and flexible, capable of performing well under pressure and adjusting to rapidly changing environments. Resilient, with a positive, can-do attitude. Committed to embodying and promoting the company’s values proactively. Strong domain expertise while being open to new ideas and feedback. We seek a strong expert who is also a collaborator, valuing diverse perspectives to achieve the best outcomes for the company. Excellent communication skills, with the ability to drive business conversations and push things through. Demonstrated strong financial acumen and business insights in designing incentive programs. Hands-on approach willing to engage in the details. Strong team player, with the ability to build partnerships within HR team and across business units. Proficiency in both English and Mandarin is required, as the role involves close collaboration with cross-functional stakeholders in Mandarin-speaking regions. Nice to Haves Experience in the crypto industry. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: London, United Kingdom About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are seeking a visionary Regional Chief Strategic Architect to serve as Workato's technical authority and strategic advisor to our most critical prospects, customers, and the broader market within their assigned region. The Chief Strategic Architect operates at the nexus of technical credibility, executive influence, and market thought leadership, acting as the external-facing voice of Workato's innovation and technical vision. This is not a sales role. It is a strategic, hybrid operator-advisor-influencer position. Chief Strategic Architects act as extensions of the executive team in the field, elevating conversations with senior leaders and positioning Workato as the essential platform for enterprise integration, AI orchestration, and intelligent automation. This role is accountable for building technical trust across the customer lifecycle - from initial engagement through strategic expansion - while simultaneously shaping how the market understands enterprise integration, AI orchestration, and intelligent automation. The Chief Strategic Architect influences deal outcomes, product direction, and industry perception, ensuring Workato is recognized as the definitive leader in Enterprise Orchestration. First 90 Days Learn & Align (Days 0-30) Deep immersion into Workato's AI vision, product roadmap, and GTM strategy Shadow at least 10 executive customer conversations Develop initial point of view for engagement with CIO/CTO/CDO personas Engage & Formulate (Days 30-60) Lead first strategic engagements with enterprise accounts Co-develop executive playbooks with Sales and Product teams Establish feedback loops with Product and Engineering teams Influence & Scale (Days 60-90) Cultivate trusted relationships with C-level executives in 5+ strategic accounts Co-create first AI-driven integration use cases with customers Establish thought leadership presence through content and speaking opportunities Technical Trust & Executive Relationships Engage directly with C-level executives (CIOs, CTOs, Chief Data Officers, Chief AI Officers) at enterprise accounts to shape integration strategies that solve complex business challenges Serve as trusted technical advisor throughout the customer lifecycle - from initial engagement through expansion - providing strategic guidance rooted in real-world operator experience Build lasting peer-to-peer relationships that position you as the go-to expert on enterprise integration, AI orchestration, and automation at scale Act as technical closer in competitive deals, articulating why Workato's architecture differentiates us from competitors like MuleSoft and Boomi Influence enterprise architecture decisions and multi-year technology strategies at the executive level AI, Agentic Automation & Enterprise MCP Strategy Shape and guide customers' AI and agentic automation journeys, leveraging Workato's AI capabilities and ecosystem Advise on the design and adoption of agent-based workflows, human-in-the-loop models, and decision automation frameworks Partner with customer executives to define enterprise MCP (Model Context Protocol) strategies including context management, secure AI orchestration, and governance Translate emerging AI capabilities into practical, scalable enterprise use cases that drive measurable business outcomes Position Workato as the integration and orchestration backbone for enterprise AI transformation Domain Expertise & Thought Leadership Establish yourself as the recognized authority across iPaaS, API Management (APIM), data orchestration, EDI, and AI/Agentic automation Lead "Art of the Possible" workshops that fundamentally shift how customers think about enterprise integration and intelligent automation Represent Workato at industry conferences, customer advisory boards, analyst briefings, and partner events Create high-impact thought leadership content: blogs, white papers, webinars, reference architectures, and technical videos Shape industry narratives and best practices that establish Workato as the category leader Deal Acceleration & Commercial Impact Accelerate deal velocity through technical validation, competitive differentiation, and executive trust-building Identify and shape strategic expansion opportunities by uncovering automation, integration, and AI-driven transformation initiatives Partner with Account Executives and Sales Leadership on account strategy, competitive positioning, and C-level engagement tactics Articulate compelling ROI narratives and business case frameworks that accelerate buying decisions Demonstrate measurable impact on win rates, deal size, and sales cycle length in strategic opportunities Strategic Advisory & Technical Leadership Lead high-impact customer engagements requiring executive-level judgment, architectural vision, and industry expertise Guide prospects and customers through Enterprise Orchestration vision and roadmap development Develop prioritization frameworks for integration, automation, and AI use cases Lead technology evaluation and vendor selection processes with enterprise customers Design governance, scalability, and enterprise operating models for automation initiatives Product Influence & Market Intelligence Act as the voice of the customer to Product and Engineering teams, channeling field insights into actionable roadmap input Identify capability gaps, competitive threats, and market opportunities based on executive-level customer conversations Develop and refine competitive positioning, objection handling, and differentiation strategies Define reusable patterns, reference architectures, and technical frameworks that accelerate customer success Influence industry analysts and thought leaders to strengthen Workato's market position Internal Enablement & Team Development Educate and enable Sales Engineers, Account Executives, and Customer Success teams on complex technical capabilities and emerging trends Develop strategic frameworks, competitive positioning, and executive engagement playbooks for enterprise accounts Mentor technical team members, helping them develop deeper domain expertise and executive engagement skills Create scalable technical enablement content and programs that amplify your expertise across the field organization Drive customer reference creation and participation in case studies, speaking opportunities, and advisory boards Requirements Qualifications / Experience / Technical Skills Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience) 20+ years of technology transformation experience, including integration, middleware, or API management platforms 15+ years in an Enterprise Architect, CTO, VP Engineering, or similar senior architecture/leadership role Demonstrated experience advising C-level executives on technology strategy and enterprise transformation Strong understanding of enterprise security, governance, and operating models Proven track record of driving platform expansion and value realization in enterprise accounts Excellent executive communication skills, including board-level presentations and strategic documentation Ability to operate independently in complex, ambiguous environments and take ownership of outcomes Travel to client sites up to 50%, with flexibility based on regional needs Soft Skills / Personal Characteristics Master's degree in Computer Science, Software Engineering, Business, or related field Deep knowledge of key enterprise applications: Salesforce, NetSuite, Workday, ServiceNow, SAP, Oracle Experience with cloud platforms: AWS, Azure, and GCP Hands-on experience with AI/ML platforms and agentic automation frameworks Experience in a high-growth startup or scale-up environment Established personal brand and thought leadership presence in the integration/automation space Measures of Success Long-term success for this leader will be measured by their ability to: Embed Workato at the heart of technology strategy conversations across the region's most influential enterprises Cultivate sustained engagement with senior technology and engineering leaders ensuring Workato becomes synonymous with Enterprise Orchestration and AI orchestration Create a robust pipeline of seven-figure opportunities tied to transformation initiatives Reframe Workato in the minds of decision-makers and analysts as the essential platform for AI-enabled enterprise integration Leave behind scalable playbooks and repeatable narratives that enable go-to-market teams to engage enterprise audiences with authority and credibility. Job Req ID: 2646

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This is a fully remote role. Reddit has a flexible first workforce. The Identity and Access Management team develops and maintains a set of mission critical, highly performant, and highly scalable systems that manage user identity, authentication, and authorization for all of our millions of daily users and backend services. Some of our present and future challenges include: Building systems around authentication, authorization and identity to meet the needs of Reddit’s engineering organization and millions of daily users. Design, build and ship backend services powering experiences for one of the most visited sites in the world. Work with product management, security, client engineering, and backend teams to define and implement Reddit’s IAM vision and roadmap. As a senior engineer on this team, you’ll be a technical coach and mentor. You’ll draw on your technical expertise to ensure these systems have high uptime and strong performance while working with others to build a roadmap to match the needs of an ever growing engineering organization. In your day-to-day, you will: Steer: Work with the team to select, scope, and drive high leverage projects that align with Reddit’s goals. Build: Execute on a strategy and create a more performant, more scalable, higher quality architecture around authentication, authorization and identity. Amplify: Mentor, coach, and collaborate with other technical contributors Collaborate: Work together with a variety of cross functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities. Who you might be: 5+ years of experience designing and developing large-scale distributed backend systems with at least 2+ years focused on security-sensitive domains (IAM, Security, Privacy, or Anti-Abuse). Technical understanding of core identity concepts, authentication protocols (OAuth2, OIDC, SAML), session management and/OR Authorization access models (ABAC, RBAC, ReBAC), centralized authorization engines Proficiency in one or more general purpose programming languages (preferably Go). Experience with (or curiosity to learn about) essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP). Experience identifying and driving high-impact projects that align with the company's strategy. High empathy and excellent communication skills to collaborate across the organization. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale. This role focuses on the configuration and experimentation systems that let teams safely roll out changes, run controlled experiments, and make data-driven decisions across our products and infrastructure — from feature flagging and dynamic configuration to A/B testing platforms that support both research and production workloads. Responsibilities Own the technical strategy and roadmap for config and experimentation infrastructure, translating team-level goals into concrete execution plans and partnering with teams focused on deployment, testing, and more Maintain and enhance the architecture for feature flagging, dynamic configuration, and experimentation systems, ensuring the hardest problems get solved — whether by you directly or by working through others Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume experimentation and config workloads across all engineering teams Own and evolve the platforms and tooling that let engineers and researchers safely ship config changes, run experiments, and measure impact Define standards, tooling, and frameworks for experimentation and configuration management that drive developer productivity across research and production workloads You may be a good fit if you: Have deep experience with configuration management, feature flagging, and/or experimentation platforms in a large-scale environment Have strong proficiency in Python, Rust and/or Go Are obsessed with developer productivity and reducing friction in how teams configure, test, and ship changes Have experience with container orchestration and infrastructure at scale Have excellent communication skills and enjoy supporting internal partners to improve their development experience Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges Strong candidates may have: Have 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead Experience with config or experimentation platforms such as Statsig, GrowthBook, LaunchDarkly, Optimizely, Unleash, or similar (including building such systems in-house) Experience designing experimentation frameworks — randomization, assignment, metrics pipelines, and statistical analysis for A/B testing at scale Experience with dynamic configuration systems and safe rollout mechanisms (gradual rollouts, kill switches, targeting rules) Experience building CLI tools, developer-facing services, and APIs/automation workflows that integrate config and experimentation into existing CI/CD pipelines Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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. Staff+ Software Engineer, Developer Acceleration About the Role Anthropic is seeking talented and experienced Staff+ Software Engineers to join Developer Acceleration within the Developer Productivity organization. The Developer Acceleration team is responsible for the infrastructure that enables thousands of employees to be productive via agents. By joining this team, you'll have a direct impact on the velocity and quality of Anthropic's research and engineering development. You will be defining how AI transforms our work and building the future of agentic productivity. Some things that the team owns: Agent Runtime Platform for provisioning and running agents Knowledge for providing relevant internal context to agents and humans Some of our work is mentioned in When AI Builds itself and Building effective human-agent teams . Responsibilities Define the future of agentic productivity at scale and at the frontier Own the technical strategy and roadmap for your area, translating goals into concrete execution Define what quality means for agent-driven engineering work, and hold that line across the company Stay hands-on: build and ship the runtime platform and tooling Build agent harnesses and experiment with various context management strategies to improve agent performance and correctness Write evals to benchmark agent behaviors Deliver impact by collaborating cross-team Own infrastructure scalability and reliability, and establish operational excellence practices You May Be a Good Fit If You: Have 10+ years building and operating large-scale distributed systems Have 3+ years of experience leading large scale, complex projects or teams as an engineer or tech lead Have a lot of experience with agents, eg. agents doing technical/knowledge work Are obsessed with productivity and transforming how we work Have experience building scalable platforms Have excellent communication skills and enjoy supporting internal partners Strong Candidates May Also Have: Deep understanding of, and care for, how human work will evolve; and a drive to help shepherd that transition Experience with container or VM orchestration at scale Experience working with researchers and engineers Developer productivity or infrastructure experience, such as CI/CD, builds, etc. Experience building widely adopted CLI tools and services Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is looking for a deeply technical Technical Product Manager – Storage to join the team. In this role, the candidate will own the vision, roadmap, and priorities for storage services in Nebius Cloud , including block storage, file and parallel file systems, object storage, and the storage capabilities that underpin AI/ML and HPC workloads . The candidate will be responsible for shaping and managing backlogs for storage service teams and leading company-wide initiatives related to storage. This is a hands-on, technically demanding role: the candidate is expected to reason about storage internals, data paths, and performance trade-offs directly with engineers. It requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support, and go-to-market teams. Responsibilities Own and manage the product backlog for storage service teams (block, file, parallel/HPC, and object storage) Lead and coordinate cross-company initiatives involving storage, including data durability, performance, capacity, and cost initiatives Work closely with engineering and architecture teams to define product requirements at the level of data paths, consistency models, replication and erasure coding, and performance characteristics , and deliver new storage features Make informed technical trade-offs on durability, availability, latency, throughput, and cost, and defend them with data Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention related to storage Ensure the delivery of storage services that meet high standards for durability, availability, performance, scalability, and cost efficiency , including storage for AI/ML training and inference and HPC Requirements Hands-on experience building storage products in the cloud is the single most important requirement: the candidate must have designed, built, or operated cloud storage services (not just used or integrated them), in senior engineering, architecture, or technical leadership roles at hyperscalers, cloud providers, storage vendors, or other advanced technology companies Deep understanding of storage systems internals : block, file, and object storage architectures, distributed storage, replication and erasure coding, consistency and durability models, and the read/write data path Hands-on familiarity with technologies and interfaces such as NVMe/NVMe-oF, iSCSI, POSIX and parallel file systems (e.g., Lustre, GPFS/Spectrum Scale, BeeGFS), Ceph, S3-compatible object storage, and RDMA-based data paths Ability to reason quantitatively about IOPS, throughput, latency (including tail latency), and cost per usable TB , and to read and interpret benchmarks Strong technical expertise in at least two of the following areas: Block storage and virtualization (volumes, snapshots, replication, NVMe-oF) File and parallel file systems for HPC/AI (Lustre, GPFS, BeeGFS, NFS) Distributed storage internals (replication, erasure coding, consistency, repair) Storage performance engineering and benchmarking Object storage at scale (S3-compatible APIs, metadata, multipart, lifecycle) Proven track record of delivering complex technical initiatives requiring coordination across multiple teams or stakeholders Technical leadership experience is a strong plus Product management experience is not required , but a strong willingness to learn and grow into the role is essential Nice to Have Experience with storage for AI/ML training pipelines and large-scale HPC (checkpointing, data loading at scale, high-throughput sequential and random access patterns) Experience creating technical documentation, guides, tutorials, or reference architectures for storage products Ideal Candidate The ideal candidate is a technically strong professional with a background in cloud or cloud storage products at hyperscalers (AWS, GCP, Azure), other public cloud providers, storage vendors, their partners, or highly digitalized enterprises . The candidate may come from a background in storage engineering, distributed systems, architecture, SRE, or technical leadership , with hands-on experience building cloud storage services, distributed storage systems, or high-performance storage for ML and HPC . Experience in technical product or platform ownership or technical leadership is highly valued, even if the candidate has not held a formal manager title. Relevant experience in ML and HPC environments is strongly desirable given the storage demands of these workloads, though the candidate is expected to adapt quickly and learn new domains. About Nebius Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023). Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise Knowledge Work team builds the products that help enterprise knowledge workers collaborate deeply with Claude for major parts of their work. Over the past year, AI has transformed how software engineering happens; for the rest of knowledge work, though, using AI still mostly means answering questions and producing first drafts — a small slice of the actual job. We're building toward something bigger: people and agents working together on every core work objective, from first idea to finished product, and the recurring work of a team running with Claude in the loop instead of a person pushing every step. It's an enormous space, it's early, and no one has built it well yet. You'll help decide what these products are, not just how they're built — the product questions are as open as the architecture ones — and you'll see your work land with real teams at the world's largest enterprises. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build the core primitives that enable knowledge workers across industries and roles to meaningfully leverage Claude You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex customer-facing products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience as startup founders or early-stage employees The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager at Harvey, you will own value realization for customers, helping to define the future of legal work at top enterprises and leading law firms. You’ll act as a trusted expert and guide customers through the process of integrating AI into the daily workflows of lawyers and other professionals. You will not only help customers to identify use cases for Harvey, but also help transform the practice of law. You’ll deeply integrate Harvey into your customers' business processes and workflows, build lasting relationships, and partner with Account Executives to renew and expand Harvey’s strategic partnerships. WHAT YOU’LL DO - Onboarding: Integrate Harvey into customer workflows, guide administrators with data-backed best practices, ensure optimal use of our AI solutions. - Training & Enablement: Champion the power of Harvey as you meet with end users and position Harvey as essential to strategic legal work. - Relationships: Navigate complex organizations as the primary contact, foster champions, engage executive buyers, and build loyal Harvey advocates. - Success Metrics: Align with customers on adoption rates, measurable value, and positive AI experiences to ensure customer value realization and ROI. - Expansion and Renewal: Collaborate with Account Executives to maintain customer renewal readiness and leverage customer needs to drive expansions. - Product Feedback: Represent customer needs internally and relay insights back to Product and Engineering, continuously improving the Harvey platform WHAT YOU HAVE Ideal candidates for the Enterprise CSM role at Harvey can demonstrate comfort and experience with the following qualifications: - 3-4+ years in customer-owning roles at tech or SaaS platforms - Adapting seamlessly in the face of high-speed change and growth - Strategic planning, revenue-based prioritization - Managing customer-facing projects and timelines - Running in-person meetings w/ executives - Mapping an organization and influencing stakeholders - Driving key customer metrics and outcomes - Owning a revenue, expansion, and renewal target - Demonstrating a strong point of view and proactive self-management - Working cross-functionally with Product and Sales teams DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-LE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Location: Sliema, Malta Who We Are At OKX, we believe the future will be reshaped by technology. Founded in 2017, we are revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 50 million users in over 180 countries globally, OKX empowers every individual to explore the world of Web3. With our extensive range of products and services, and unwavering commitment to innovation, OKX envisions a world of financial access backed by blockchain and the power of decentralized finance. We are innovative in the way we think, work, and in the products we create. We are also socially responsible by actively participating and encouraging employees to take part in various public welfare activities. With more than 3,000 employees around the world, we believe embracing diversity and inclusion will spark the creation of long-term value for the industry. Come Build the Future with Us now! About the Team The Operations function at OKX is the engine powering our local business growth and execution. We are a team of product-minded, commercially driven problem solvers who bridge the gap between strategy, customer experience, and compliance. We build scalable workflows, drive market expansion, and champion operational excellence - ensuring we scale the business efficiently and responsibly. What You'll be Doing: Cross-Functional Project Leadership: Lead strategic, high-impact initiatives across Product, Growth, VIP/Affiliates, Compliance, and Customer Support. Product & Tech Operations Bridge: Partner closely with Product Managers and Engineering to align on product rollouts, conduct operational testing, influence roadmap prioritization, and optimize end-to-end customer journeys. Commercial Alignment & Growth Support: Collaborate with commercial and growth teams to scale operational workflows around VIPs and business development initiatives. Process Optimization & Scaling: Continuously analyze operational metrics to uncover inefficiencies, automate manual workflows, and elevate service delivery. Market Insights & Innovation: Research competitor benchmarks and industry best practices to recommend proactive, product-led operational innovations. Local Market & User Insights: Serve as an internal SME on local user behavior, market trends, and operational requirements to refine product-market fit. What We Look For in You: Hands-on Execution & Ownership: Proven track record of planning, driving, and delivering complex cross-functional projects end-to-end in a fast-paced environment. Data-Driven & Commercially Minded: Strong analytical capabilities. Able to interpret product/commercial data, spot operational trends, and translate them into actionable business decisions. Product & Customer Experience Intuition: Familiarity with the product lifecycle, product operations, and testing frameworks, with a sharp instinct for intuitive, high-quality user experiences. Cross-Functional Influence & Self-Starter Drive: Exceptional ability to build relationships across engineering, commercial, and operational teams while rapidly picking up domain-specific context. Problem Solver & Critical Thinker: Comfortable questioning the status quo, navigating ambiguity, and operating independently within a dispersed global team. Tech-Forward & AI-Fluent: Enthusiastic about leveraging emerging technologies and AI tools to eliminate friction, automate workflows, and boost team productivity. Communication & Stakeholder Management: Excellent written and verbal communication skills in English, capable of presenting insights clearly to leadership and key partners. Nice to Haves: Prior experience in a crypto exchange, FinTech or other start up in a regulated industry. Prior experience working in a multinational or matrix environment. Interest in crypto or trading. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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 Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude often have the most demanding needs, with rigorous requirements around end-user experience, procurement, security, and permissions. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for a Staff+ Platform Engineer for our Enterprise pillar—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, the systems you design—identity, permissions, governance, connectivity, and the data foundations beneath them—are what make it possible. This is a high-agency role: you'll design the abstractions other teams want to adopt, help the team evaluate hard tradeoffs, and be the engineer in the room who can interface with executives and security teams from the world's largest companies. What you'll do Define and drive multi-year technical strategy for foundational enterprise systems, including our distributability and multi-cloud direction Identify and personally lead the highest-complexity, highest-impact engineering initiatives spanning multiple teams Serve as a primary technical decision-maker for major architectural decisions with org-wide scope Design the platform primitives—identity, permissions, governance, connectivity, and usage data—that other product teams build on Partner with teams such as Inference and Platform on foundational systems, Customer Success for the voice of the customer, and Infrastructure and Safeguards on security, privacy, and responsible deployment Mentor and develop senior engineers across the org, and drive alignment across Product, GTM, and Customer Success while proactively addressing systemic technical risks You may be a good fit if you Have 8+ years of engineering experience with a clear track record operating at Staff or equivalent technical leadership level Have deep expertise in distributed systems and API architecture, and are effective writing design docs, making architectural calls, and coding in critical paths Have shaped technical strategy at a Cloud Service Provider or large-scale Enterprise SaaS company Bring strong domain expertise and intuition in enterprise areas such as security, identity, compliance, governance, permissions, and connectivity Drive the highest-leverage technical outcomes without formal authority—you lead through influence, quality of thinking, and trust Are highly effective across org boundaries—you build trust with GTM, Platform, Inference, Infrastructure, Privacy, Safeguards, and business stakeholders alike Strong candidates may also have Experience with multi-cloud or distributable deployments of complex systems Experience building the data foundations for enterprise administration—entitlements, metering, usage and cost visibility The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows. WHAT YOU'LL DO - Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions. - Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product. - Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience. - Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI. - Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations. - Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities. - Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Experienced professionals with a background in Enterprise SaaS, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects. - Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels. - Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly - Team players described as committed, collaborative and proactive with a team-first mentality. WHAT WE OFFER - A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive. - An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes. - A collaborative work environment that promotes growth, learning, and development. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-JL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: As part of the System Engineering Department, the Satellite and Payload System Test Authority will be responsible for the définition of Test Plans, Test Methods and Requirements, Ground Test Equipment definition support, implementation and testing in support of Digital  Telecommunication satellite payloads. Tasks The Payload Test Authority engineer will perform, be responsible and participate in the following tasks and activities: Trade-off studies to design and develop Test Plans for Satellites and Payloads, aligning with verification & validation matrices and Program objectives Lead and develop Test Methods and Test requirements; oversee Test Procedures and their execution Lead a cross-disciplinary team to converge on methodology and integration of the tests in accordance with the program requirements. Maintain the verification & validation Matrices over the course of the program life cycle all the way to on-orbit commissioning in coordination with the SatOps team Lead and coordinate Satellite and payload testing: EGSE, Test supervision, data analysis, trending…Test reports Support the development of Satellite Operation Manuals and associated trainings. Develop and support In-Orbit Test (IOT) and anomaly resolution. Must haves · Bachelor’s degree in Electrical engineering in a relevant field · At least 10 years of relevant practical experience in digital communication commercial application in the space domain Previous experience with LEO/MEO/GEO satellite communication systems Understanding of Phased Array Antenna with multiple active elements and knowledge of various modulation types, signal processing and Networking Systems Engineering experience in concepts of space and ground segment, specification and integration, knowledge of Flight Software, Satellite Database · Knowledge of Python or other scripting languages Complementary skills/knowledge Previous experience in Constellation Operations Development and testing of new automated methodologies Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work autonomously and with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

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 The Computer Use team focuses on teaching Claude to see, use, and understand computer interfaces. As a Research Engineer on the team, you'll work on advancing our models' ability to reliably and safely operate real software. We're looking for someone who's genuinely excited about both the research and the product sides of computer use. Your work will translate directly into model improvements in our own and our customers' products. You can try Claude's computer use capabilities today through the Claude in Chrome extension and Claude Cowork. Key Responsibilities: Design and run experiments to improve Claude's perception and agentic capabilities Develop robust, reliable evaluation frameworks for measuring our models' ability to complete complex computer tasks Build and improve computer use and vision reinforcement learning training environments Create pipelines and tools to test and validate complex RL environments Collaborate with teams across the model training and infrastructure stack to improve our production training setup Partner with product teams to bring research advances into production Minimum Qualifications: Software engineering experience and proficiency in Python Experience training, fine-tuning, or evaluating machine learning models Strong communication skills and a collaborative working style Care about the societal impacts and safety of your work Preferred Qualifications: Experience training models for computer use or other agentic capabilities Experience with reinforcement learning, particularly in long-horizon or sparse-reward settings Familiarity with multimodal model training Experience building evaluations or benchmarks for agentic systems Experience building reinforcement learning environments, simulation systems, or large-scale ML infrastructure Experience working closely with product teams to drive model improvements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Barcelona, Spain Workplace: hybrid About Adapt   Adapt, a Welo Global brand, is an international digital performance marketing agency focused on driving the success of digital content across platforms and markets. We offer our customers a unique combination of global services designed to support their growth from strategy all the way through to execution, production, and performance measurement. With a collaborative and inclusive environment, you will join a unique culture which celebrates difference and embraces diversity. You will play a key role in developing strong relationships and shared ethos, whilst at the same time benefiting from a wide range of career opportunities, training, and flexibility for work-life balance.     Our culture is built on curiosity, and we are looking for team members who have a passion for learning about the developments in the industry, their clients, and their peers. In return, we offer the opportunity to develop your ability and exposure to a wide range of clients from growth-minded startups all the way up to global enterprise clients. Our client base is predominantly focused on B2B businesses, though we do also support customers in the e-commerce and retail space. Regardless of vertical, Adapt offers dynamic and diverse challenges that foster creativity, innovation and application of knowledge to create client solutions. Overview At Welo, an SEO Account Specialist leads strategic SEO initiatives across a diverse portfolio of global clients. You’ll leverage technical expertise and a data-driven mindset to develop, execute, and optimise comprehensive SEO strategies that drive measurable business outcomes. Job Description Develop and contribute to comprehensive SEO strategies, including technical audits, content optimisation, and off-site initiatives. Oversee SEO performance tracking and deliver actionable insights through advanced reporting. Collaborate cross-functionally with content, development, and localisation teams to implement SEO best practices. Help identify opportunities to further improve efficiency or quality of work delivered. Own the day-to-day delivery of SEO work against customer objectives. Lead comprehensive SEO audits, identifying and addressing technical issues. Manage and optimise on-page and off-page SEO campaigns. Develop and execute advanced keyword strategies for content optimisation. Oversee and refine link-building strategies to enhance domain authority. Analyse and report on SEO performance metrics, providing actionable insights. Stay updated with the latest SEO trends and algorithm changes. Required experience and background Ideally 2+ years experience in SEO. Any prior exposure to other digital marketing channels is a plus. Ability to work collaboratively with cross-functional teams. Up-to-date knowledge of SEO trends and algorithm changes. Advocate and demonstrable impact on insights and delivery. Ideal Skillset Ability to conduct comprehensive SEO audits and competitive analysis. Experience in leading SEO projects and initiatives. Strong data analysis skills to derive actionable insights and optimise strategies. Experience in developing and executing advanced keyword strategies. Welocalize is committed to equal opportunities and in compliance with the General Law on the Rights of People with Disabilities, this vacancy is also available and we encourage to those candidates who have a disability certificate (equal to or greater than 33%) to apply.

Location: Serbia Workplace: remote ABOUT YOU We're looking for a Staff Engineer to join our Identity & Access Management (IAM) platform team. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how Xsolla builds secure, high-scale auth infrastructure — setting direction, making hard architectural calls, and raising the bar across the org. You will own the strategy behind authentication, authorization, and session management at scale, and evolve our OAuth 2.0 / OIDC flows and token lifecycle to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering and security stakeholders, not just designing in isolation. You are technically deep, calm under pressure, and comfortable being the escalation point when production IAM issues get hard. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.   HOW WE WORK Xsolla operates across multiple time zones, and the IAM platform underpins authentication and authorization for every product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room. We value directness, technical depth, and follow-through. If a design or production issue has real security or reliability implications, we expect you to say so clearly, defend your position with evidence, and stay engaged until it's resolved.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own IAM Architecture & Strategy — Own the technical strategy and architecture of our IAM platform, covering authentication, authorization, and session management at scale. Design Auth Protocols — Design and evolve our OAuth 2.0 / OIDC flows, token lifecycle, and security primitives to meet both product and compliance requirements. Drive Cross-Team Technical Decisions — Drive decisions on protocol design, data modeling, and platform reliability, and build buy-in across engineering and security teams. De-Risk Proactively — Identify systemic risks and performance bottlenecks; lead initiatives to resolve them before they become incidents. Set Engineering Standards — Define engineering standards, review critical code and designs, and create leverage for the team through documentation, tooling, and mentorship. Align with Stakeholders — Collaborate with product, security, and infra teams to align on roadmap and translate business needs into well-scoped technical plans. Own Production Escalations — Serve as the go-to escalation point for complex production issues in the IAM domain. Requirements Identity & Security OAuth 2.0 / OIDC Depth — Deep understanding of OAuth 2.0, OIDC, and related auth flows: authorization code + PKCE, client credentials, device flow, token introspection, refresh strategies. Web Security Fundamentals — Solid grasp of cookie security, CSRF, XSS, token storage, TLS, and secure session management. Production IAM Experience — Experience designing or operating production-grade IAM or auth systems. Backend Engineering Go Engineering — Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes). Data & Infrastructure PostgreSQL — Schema design, query optimization, migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Leadership Cross-Team Initiative Leadership — Proven ability to lead multi-quarter technical initiatives across teams. Architectural Influence — Track record of influencing architecture and standards beyond your immediate team. Written & Verbal Communication — You write RFCs and design docs that people actually read. Nice to Have Hands-on experience with the Ory ecosystem (Hydra, Kratos, Keto) — operating it in production or building on top of its APIs Experience with CockroachDB or other distributed SQL databases (multi-region deployments, clock skew handling, survivability trade-offs) Familiarity with compliance requirements relevant to IAM: SOC 2, ISO 27001, GDPR data minimization, audit logging Contributions to open-source security or identity projects Experience building or integrating with SCIM, SAML, or enterprise SSO (LDAP / Active Directory) Background in platform or infrastructure engineering — building systems other engineers build on top of Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers