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Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks Have hands-on experience with large language models and how AI could be misused for CBRN-E threats Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance 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: $375,000 — $455,000 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, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Design Engineer at Ramp, you sit at the intersection of design and front-end engineering. You bring ambitious ideas to life in real interfaces, prototype directly in code, validate with customers, and ship production experiences with a high bar for craft, performance, and reliability. Design at Ramp is AI first and builder led. Work starts in an LLM to clarify intent and constraints, moves into tools like Claude and Cursor to explore and build, is tested with real customers, and then comes into Figma for systems and polish. AI and self-serve research are default parts of the workflow, not side experiments. We are looking for multiple design engineers who think like a designer, code like a front-end engineer, and treat AI as a real collaborator. WHAT YOU’LL DO - Design and build high-craft product experiences: Own key surfaces end to end, from concept through production. Use layout, interaction, and motion to make complex behavior feel simple and safe. - Work AI first with Cursor and Claude Code: Use LLMs, Cursor, and Claude Code as your starting point. Draft intent, explore implementations, scaffold components, and refactor with AI in the loop. Apply your own judgment to refine quality. - Prototype in code and validate with customers: Build interactive prototypes in React and TypeScript and test them with real users using self-serve research tools. Use what you learn to refine flows before full systemization. - Bridge design systems, product, and brand: Translate Ramp’s design principles into reusable components and patterns. Extend the design system so expressive, brand-aligned moments are easy to build and scale. - Reveal what our agents are doing without noise: Design patterns that show what AI and automation are doing on behalf of customers. Use hierarchy, copy, and motion to earn trust while keeping the default experience simple. - Champion performance and accessibility: Ship work that is fast, accessible, and robust. Pay attention to semantics, focus states, reduced motion, and Core Web Vitals. Partner with engineers to debug and optimize over time. - Share AI-native workflows: Document prompts, patterns, and workflows you use in Cursor and Claude Code. Share them with designers and engineers to raise the bar across the team. WHAT YOU NEED - Strong experience across both design and front-end engineering, with ownership from idea to shipped interface - Fluency in React, TypeScript or JavaScript, semantic HTML, and modern CSS - Active use of tools like Cursor and Claude Code, with clear opinions on how to get high-quality output - A portfolio that shows high visual and interaction craft in live experiences or working prototypes - A systems mindset and interest in building reusable components and patterns - Care for performance, accessibility, and reliability as part of craft - Clear written and verbal communication, and comfort pairing with designers, engineers, and marketers - Based in or open to relocate to NYC NICE TO HAVES - Experience contributing to a design system or front-end component library - Familiarity with experimentation or analytics tools - Experience with headless CMS, design tokens, or theming systems - Background in fintech, B2B SaaS, or other trust-heavy domains - Interest in mentoring others on AI-native workflows BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. Задачи: — Design and verify custom digital hardware components and architectures that enable high-performance, tightly integrated computation workloads and interface Arago’s custom tensor unit for advanced AI/ML applications. — Design, implement, and verify RTL blocks for memory, control, and compute subsystems within Arago’s custom multiphysics computation unit. — Collaborate with Arago’s system software and architecture teams to define block-level specifications and ensure alignment with performance and integration goals. — Develop and maintain functional verification infrastructure to validate design correctness across simulation and hardware testbenches. — Support synthesis, timing analysis, and backend integration, working closely with Arago’s physical design and CAD engineers. — Contribute to architectural exploration and hardware-software co-design efforts to shape future iterations of Arago’s compute platform. Требования: — Extensive experience in RTL design (Verilog/SystemVerilog) for control logic, datapaths, memory subsystems, and specialized processing units. — Strong understanding of digital architecture, including pipelining, arbitration, memory hierarchy, and system-level integration. — Proficiency in functional verification, including testbench development, assertions, coverage metrics, and debugging (UVM experience is a plus). — Familiarity with ASIC and FPGA design flows, including synthesis, timing closure, and DFT. — Comfortable working across the full hardware stack — from architectural specification and microarchitecture to physical implementation support. — Language: English at a proficient level. French is a plus. Условия: — Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. — Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. — Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. — Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. — Reimbursement of 50% of the public transport subscription fee. — A high-paced, multicultural (with 9 nationalities), and engineering-led environment. Our Hiring Process: Your Journey to Arago — Screening Call : Get to know you beyond your CV. — Technical meeting : Deep dive into your past projects and technical achievements. — CEO Interview : Assess the fit with the team’s culture and long-term vision. — Reference Calls: Mandatory calls with your former managers to validate strengths, weaknesses, and work style. — Technical Assessment: Take-home technical assignment crafted to the role you’re applying for. — Final Interview : Discuss your technical assignment and address any remaining questions with team members.

Location: Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this role We are seeking a Staff Product Manager to serve as an internal PM embedded within this team. This is not a traditional external-facing product role—it is an internal platform product leadership position. You will own the roadmap for our enterprise systems, act as the strategic voice of the business within engineering, and bring senior product craft to a team of Analysts and engineers who build and operate GitLab's revenue infrastructure. This role is ideal for a seasoned product leader who has deep Quote-to-Cash or Finance domain knowledge, thrives at the intersection of business strategy and technical execution, and is energized by mentoring high-performing teams through complex, multi-program environments. What You’ll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for QTC and Finance Systems, covering Salesforce CPQ, Zuora Billing, Zuora Revenue, NetSuite, and the CDot metering platform. Translate business strategy from Finance, Revenue Operations, Deal Desk, and Sales into sequenced, prioritized system capabilities with clear outcomes and success metrics. Balance competing program demands—stabilization, net-new capability delivery, and technical debt reduction—with transparent trade-off frameworks. Drive quarterly and annual planning ceremonies, partnering with Engineering Managers and Business Systems Analysts to align capacity with roadmap commitments. Stakeholder Partnership & Requirements Translation Serve as the primary internal product voice for all QTC and Finance Systems initiatives, partnering closely with Finance, Accounting, Revenue Operations, Deal Desk, and Legal. Lead discovery, requirements workshops, and business process design sessions to translate complex financial and commercial requirements into actionable system specifications. Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions. Navigate cross-functional stakeholder dynamics including SOX compliance, audit controls, and revenue recognition governance (ASC 606/IFRS 15). Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication. Model and instill product management best practices—user story writing, prioritization frameworks (e.g., RICE, MoSCoW), sprint review discipline, and outcome tracking—across the team. Partner with leadership to evolve the operating model of the team from project-execution-focused to product-thinking-led, raising the bar for how ETA delivers business value. Provide structured feedback and growth coaching to BSAs on career development, helping analysts grow toward senior and lead levels. Program Strategy & Delivery Oversight Lead product strategy for major multi-quarter programs (e.g., consumption-based billing iterations, CLM/Order Forms, Zuora Product Catalog refactors, ERP optimization) from discovery through go-live. Define and maintain program-level dependency maps across concurrent workstreams, surfacing risks early and driving cross-team resolution. Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release. Support post-launch stabilization and continuous improvement cycles, prioritizing defect resolution and incremental enhancements based on business impact. Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers to evaluate build-vs-buy-vs-configure decisions for new capabilities. Bring informed opinions on QTC platform architecture trade-offs (e.g., billing model design, middleware integration patterns, revenue recognition rule configuration) based on deep domain knowledge. Stay current on platform roadmaps for Salesforce, Zuora, and NetSuite, identifying opportunities to leverage native capabilities before custom builds. What You’ll Bring 8+ years of product management experience, with at least 3 years in an internal platform PM, enterprise applications PM, or systems product leadership role. Deep domain expertise in Quote-to-Cash systems: Salesforce CPQ, Zuora Billing, Zuora Revenue, and NetSuite ERP are the core stack—hands-on configuration or implementation experience strongly preferred. Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders. Strong command of revenue lifecycle processes: opportunity-to-quote, order management, billing and collections, revenue recognition (ASC 606), and financial close. Experience operating in a SOX-controlled environment with an understanding of audit trails, approval workflows, and change management requirements for financial systems. Track record of successfully running complex, multi-program delivery environments with competing priorities and shared engineering resources. Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs—without needing to write code. Experience with consumption-based or usage-based billing models About the team You'll be joining the Revenue Lifecycle & Finance Systems team within GitLab's Enterprise Technology Architecture organization. Our team is responsible for the systems and processes that power GitLab's entire revenue lifecycle—from configure-price-quote through contract execution, billing, revenue recognition, and financial close. We are in an exciting and demanding phase: transitioning GitLab's go-to-market from a pure subscription model toward consumption-based offerings while simultaneously modernizing our core platforms. This role will be central to shaping how that evolution happens—and how the team grows in capability and product maturity alongside it. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $235,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders. Задачи: — Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. — Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. — Develop simulation tools to model analog behavior with minimal computational overhead. — Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. — Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. — Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures. Требования: — Background in mathematics, physics, computer science, or a related quantitative field. — Strong interest and skills in applied mathematics and statistics. — Strong experience with quantization of machine learning and AI models. — Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. — Experience studying the impact of numerical precision, noise, or approximation on model accuracy. — Experience with inference performance optimization. — Good knowledge of computer architecture, GPU architecture, or parallel computing. — Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. — GitHub profile with recent and relevant projects. — Language: English at a proficient level. French is a plus. Условия: — Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. — Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). — Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. — Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. — Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. — Reimbursement of 50% of the public transport subscription fee. — A high-paced, multicultural (with 10 nationalities), and engineering-led environment.

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Poland. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Screen Management Capabilities System Design Live Coding Our Benefits Monthly salary and an annual bonus (20%) Training and conference budget, and free access to Udemy courses A benefits package with 500 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more IP rights’ costs - 80% 100% remote work (as well as the possibility of working from our offices in Poznan and Warsaw) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

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 a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem. You will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q&A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents. WHAT YOU'LL DO - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments. - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration. - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems. - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements. - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers. - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact. - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities. - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales. WHAT YOU HAVE Must-Have Qualifications: - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company. - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains. - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures. - Experience building products that handle sensitive data with robust security, compliance, and access control requirements. - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives. - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity. - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details. Preferred Qualifications: - Experience with AI/ML-powered products, semantic search, retrieval systems, or document processing pipelines. - Background in legal technology, professional services, or deep understanding of law firm workflows and enterprise legal operations. - Experience with enterprise integrations (APIs, authentication frameworks like SSO/SCIM/OAuth, third-party DMS platforms). - Prior experience at a company during a high-growth stage (Series B through IPO). COMPENSATION $177,700 - $266,500 USD 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-ML1 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: San Francisco 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 a Staff Product Manager for Vault at Harvey, you will own and drive the product vision, strategy, and execution for our document and knowledge management platform-a critical foundation that powers how legal professionals interact with Harvey's AI capabilities. Vault enables law firms and enterprise clients to securely store, organize, search, and leverage their documents and institutional knowledge within Harvey's AI-powered ecosystem. You will lead cross-functional teams to build and scale Vault's capabilities, including file management, AI-enabled search and Q&A, document extraction, secure sharing across workspaces, and seamless integrations with enterprise document management systems like iManage, SharePoint, and Dropbox. This is a high-impact, high-visibility role where you'll directly shape how the world's leading law firms and enterprises organize and unlock value from their most sensitive documents. WHAT YOU'LL DO - Define and own the Vault product vision and roadmap: Develop a compelling product strategy that aligns with Harvey's mission to transform legal and professional services through AI, balancing near-term customer needs with long-term platform investments. - Drive end-to-end product development: Lead cross-functional teams including engineering, design, AI/ML, and go-to-market to ship high-quality features from ideation through launch and iteration. - Partner deeply with engineering: Work closely with engineering leadership to make technical and architectural decisions, dive deep into complex problems, and ensure we're building scalable, secure, and performant systems. - Understand and champion customer needs: Collaborate with Customer Success, Sales, and Legal Product Specialists to deeply understand how law firms and enterprise clients use Vault, identify adoption barriers, and translate insights into product improvements. - Own enterprise integrations strategy: Drive the vision for how Vault integrates with document management systems (iManage, SharePoint, Dropbox, Box) and other enterprise tools, ensuring seamless workflows for customers. - Define and track success metrics: Establish KPIs for Vault adoption, engagement, and value realization; use data to inform product decisions and demonstrate customer impact. - Collaborate cross-functionally: Partner with Product Marketing, Partnerships, and Admin/Governance teams to ensure successful product launches, effective positioning, and alignment with broader platform capabilities. - Contribute to Harvey's product culture: Mentor other product managers, share learnings, and help establish best practices as the product organization scales. WHAT YOU HAVE Must-Have Qualifications: - 8+ years of product management experience, with at least 3 years at a Staff or Senior PM level at a high-growth technology company. - Proven track record of owning and scaling complex platform or infrastructure products, ideally in enterprise SaaS, document management, knowledge management, or data-intensive domains. - Strong technical acumen with the ability to engage deeply with engineering on system design, distributed systems, data pipelines, and retrieval architectures. - Experience building products that handle sensitive data with robust security, compliance, and access control requirements. - Excellent communication skills with the ability to influence stakeholders at various levels, from engineers to executives. - Demonstrated ability to thrive in ambiguous, fast-paced environments and drive clarity through complexity. - Strong product sense and attention to detail-ability to think through both high-level strategy and nitty-gritty implementation details. Preferred Qualifications: - Experience with AI/ML-powered products, semantic search, retrieval systems, or document processing pipelines. - Background in legal technology, professional services, or deep understanding of law firm workflows and enterprise legal operations. - Experience with enterprise integrations (APIs, authentication frameworks like SSO/SCIM/OAuth, third-party DMS platforms). - Prior experience at a company during a high-growth stage (Series B through IPO). COMPENSATION $177,700 - $266,500 USD 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-ML1 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: 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 business is growing fast, and the systems that turn a closed deal into recognized revenue are scaling to keep up. Quote-to-cash spans configure-price-quote, contracting, order management, provisioning, billing, and revenue recognition, and the work to evolve it crosses engineering, GTM systems, finance, legal, and operations teams. We're looking for a Technical Program Manager to own the planning and execution rhythm across these teams, drive the highest-priority cross-team programs end to end, and give leadership a single coherent view of priorities, dependencies, and progress. Responsibilities Build and run the cross-team planning and operating cadence for quote-to-cash: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for engineering and finance leadership Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across engineering, GTM systems, deal desk, order management, accounting, and legal Own the SOX readiness program for quote-to-cash systems: gap closure, control design and evidence collection, and coordination with internal audit Manage technical dependencies across the stack: CPQ, contract data model, provisioning automation, billing platform, and the integrations between them You may be a good fit if you Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have technical depth in enterprise systems integration: CPQ, ERP, billing, and provisioning platforms, the data flows between them, and the tradeoffs between configuring SaaS and building custom Have run compliance or audit-readiness programs (SOX, SOC, or similar) and understand how control design, evidence collection, and engineering delivery fit together Can build trust with engineers, finance and accounting partners, sales operations, legal, and executives, and translate between them Thrive when the operating model itself is still being defined and see shaping it as part of the job Strong candidates may also have Background in revenue operations, order-to-cash, billing platform, or finance systems product management Familiarity with Salesforce CPQ, contract lifecycle management, or marketplace provisioning (AWS/GCP/Azure) Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role: The Developer Platform team builds KMS, the key-management and signing service behind ZeroDev's embedded, non-custodial wallets. These are smart-account / account-abstraction wallets that developers integrate directly into their applications. End users retain control of their keys, while KMS security orchestrates wallet creation, authentication and signing on top of a third-party signing provider. You'll own production Go services and the cryptographic recovery and trust-model systems around them, working in a small, high-ownership team. This is security-critical infrastructure with a high review bar and external security audits. You should already be comfortable with applied-cryptography fundamentals such as public-key cryptography, signatures and key management. You don’t need to be a cryptographer or have prior experience with areas like MPC or TEEs, but you should be able to reason about cryptographic systems and their security implications. As the platform evolves, you'll also help expand it beyond interactive consumer wallets toward programmatic and automated signing, and programmable transaction policies. What you'll work on: Backend services: build and operate Go services that power wallet creation, authentication, and signing at scale Key recovery and the committee trust model: distributed key generation and secret sharing that keep the service non-custodial, with recovery authority split across independent committees so no single party holds a user's key Trusted Execution Environments: reconstructing and operating on key material under hardware isolation and remote attestation Authentication and signing-provider integration: the user-facing auth methods that gate signing (passkeys / WebAuthn, OAuth, OTP, sessions, 2FA), and integrating with a third-party signing provider (authorization and policy flows, scoped credentials, quorum / consensus approvals) Security review and hardening: writing design docs and decision records, working directly with external security auditors, and turning a high review bar into shipped code Production operations on Kubernetes: observability and alerting, secrets and certificate management, on-call, and the compliance controls the domain requires (sanctions screening, PII-safe handling) Who you are: Strong backend engineer who has shipped and operated production services in Go (or an adjacent systems language and is eager to go deep in Go) Security-first by default: You naturally think about threat models, blast radius and key custody, and write code that holds up to security-critical review Comfortable with applied-cryptography: You understand fundamentals such as public-key cryptography, signatures and key management, and can reason about how they apply to production systems. You don't need to be a cryptographer! Solid on distributed systems and API design: You’re comfortable reasoning about idempotency, failure modes and clean service boundaries Operationally experienced: You’ve worked with production infrastructure and are comfortable with Kubernetes, observability and incident response Clear written communicator: You can explain technical decisions through design docs and decision records, and work effectively in a collaborative, review-heavy environment. Nice-to-have You don't need to have worked with all of these. Experience in one or more would be valuable. Trusted Execution Environments (TEE) such as AWS Nitro Enclaves, Intel SGX / TDX or similar Threshold cryptography / MPC, including DKG, FROST or other threshold signatures, verifiable secret sharing or resharing Account abstraction, including ERC-4337, EIP-7702, smart accounts or embedded / non-custodial wallets Custody or signing infrastructure such as Turnkey or Fireblocks, either as an integrator or builder HSMs, YubiKey / PIV or secure-element integrations Third-party security audits and driving remediation through to completion Authentication technologies such as WebAuthn / passkeys and OAuth / OIDC, or experience with the Go crypto ecosystem Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers:   This role cannot be performed in California, or Colorado.   Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com   At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is growing fast, and recruiting is one of the highest-leverage functions in the company. We’re constantly investing in systems and processes to support our rapid scale and enable our recruiters and hiring teams to be more efficient. The current technology stack is built and operated by several teams across third-party platform configuration, custom internal tooling, analytics and forecasting, core people systems, and an AI tooling layer. We're looking for a Technical Program Manager to own the planning and execution rhythm that connects these teams, drive the technical interconnection of the systems, and give Recruiting leadership a single coherent view of priorities, dependencies, and progress. You’ll help evolve how recruiting functions through the use of Claude, connecting that work to where the broader company is going. That includes building the bridge between recruiting and company-wide roadmap and headcount planning so we're staffing proactively rather than reacting. This is a first-of-its-kind role at Anthropic. It sits within the centralized Technical Program Management organization and partners directly with Recruiting and People leadership. Part of the job will be to help us figure out the right long-term model for TPM support for the People org. Responsibilities Build and run the cross-team planning and operating cadence for recruiting technology: a shared roadmap, clear DRIs, sequenced dependencies, and a single source of truth on priorities and status for Recruiting leadership Drive the highest-priority cross-team programs end to end, from scoping and tradeoff decisions through delivery, across teams that don't share a reporting line Lead the technical interconnection work: integration across third-party platforms, internal custom tooling, and the data and analytics layer so information flows cleanly end to end Partner with engineering and AI teams to bring Claude deeper into the recruiting workflow, balancing speed of adoption with the controls and human-in-the-loop design that make it trustworthy Connect recruiting to company-wide planning: build the link to roadmaps across the business so headcount needs are visible early and recruiting can staff proactively Own build-vs-buy and vendor evaluations where they cross team boundaries, including the security, contract, and integration tradeoffs that come with them Establish the program infrastructure: governance, status reporting, risk tracking, and the escalation paths that let leadership make tradeoffs quickly Help define the durable model for TPM support in the People organization, including scope, headcount, and reporting structure You may be a good fit if you Have 6+ years of technical program management experience, with a track record of building cross-functional programs from scratch in ambiguous environments Have driven planning and execution across teams that don't share a reporting line, and are comfortable influencing without authority Have technical depth in systems integration: APIs, data flows between SaaS platforms, and the tradeoffs between configuring third-party tools and building custom Have worked with or close to recruiting, people, or HR technology and understand how an ATS, HRIS, scheduling, and analytics stack fit together Can build trust with engineers, recruiters, analysts, and executives, and translate between them Are genuinely excited about using AI to change how a core business function works, and curious about what recruiting looks like when frontier AI is in the loop on every step Thrive when the role itself is still being defined and see shaping it as part of the job Strong candidates may also have Background in recruiting operations, people analytics, or HR tech product management Experience integrating AI or LLM-based tooling into operational workflows Familiarity with headcount planning, workforce planning, or connecting business roadmaps to hiring plans Experience teaching partner teams how to work with technical program management when the function is new to them Deadline to Apply: None, applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We're looking for experienced engineers to build and scale the database infrastructure that powers Claude's products and Anthropic's research. As a Software Engineer on the Databases team, you'll architect and operate the systems that let millions of users interact with Claude while also supporting frontier AI research workloads. You'll help set the database strategy for Anthropic: designing systems that handle billions of API requests, building storage that runs cleanly across GCP, AWS, and a range of deployment models, and creating the reliable data layer that lets research move fast. The Databases team spans three areas: the core database platform (data plane and control plane), data movement (migrations, backfill, and change data capture), and caching. We're hiring across all three. Key Responsibilities Drive the technical direction for database solutions used across Product and Research Design and implement database solutions that scale to support millions of users across Claude's product ecosystem Build and scale database systems through 100x+ growth while maintaining reliability and performance Build the database platform that lets Anthropic engineers ship without thinking about databases or scaling. Architect data storage solutions that operate across GCP, AWS, first-party deployments, third-party deployments, and other environments Develop database infrastructure that serves both product and research workloads with different performance characteristics Build data movement infrastructure (migration tooling, backfill, and change data capture pipelines) that safely consolidates and moves data across the organization Design and operate caching infrastructure, including CDC-driven cache invalidation, that keeps Anthropic's hottest paths fast and correct Partner with product and research teams to understand data requirements and build infrastructure that accelerates their work Optimize database performance, reliability, and cost efficiency at scale Make build-vs-buy decisions for database technologies Minimum Qualifications Significant experience as a software engineer building and operating production database or storage systems Deep knowledge of distributed database architectures and OLTP systems at scale Proficiency with SQL and at least one major relational or distributed database engine (e.g., PostgreSQL, MySQL, Spanner, CockroachDB, DynamoDB) Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred Qualifications 10+ years building and scaling database systems, with 3+ years leading large-scale projects or teams Experience scaling databases through periods of rapid growth at high-growth companies Experience operating Spanner, CockroachDB, TiDB, AlloyDB, or other globally distributed SQL databases in production Experience with Redis, Temporal, vector databases, or async job processing frameworks Experience with change data capture (Debezium or similar), large-scale data migration, or streaming data infrastructure Experience building multi-cloud or hybrid cloud database solutions Knowledge of database orchestration and automation at scale Contributions to database internals, storage engines, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure and database expertise from any domain. 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for experienced engineers to build Anthropic's cache layer as a managed service from the ground up. The Caching team is part of the Databases organization and owns the systems that keep Anthropic's hottest paths fast and correct: a managed Redis fleet, client libraries used across the company, and CDC-driven cache invalidation that solves one of distributed systems' hardest problems the right way. This is a foundational role on a small team with outsized leverage. Every millisecond you take off a hot path is multiplied across every Claude request. You'll set the technical direction for caching at Anthropic, from the data plane to the developer experience, and you'll work closely with product and research teams to make caching something engineers get for free rather than something they have to think about. Key responsibilities Drive the technical direction for caching infrastructure used across Product and Research Design, build, and operate a managed Redis fleet that scales to support millions of users across Claude's product ecosystem Build client libraries and developer-facing abstractions that make correct caching the default for Anthropic engineers Design and operate CDC-driven cache invalidation that keeps cached data consistent with source-of-truth databases Architect caching solutions that operate across GCP, AWS, first-party deployments, and other environments Optimize latency, hit rates, reliability, and cost efficiency on Anthropic's hottest paths Build observability and tooling that makes cache behavior easy to understand and debug Partner with product and research teams to understand access patterns and build infrastructure that accelerates their work Make build-vs-buy decisions for caching technologies Minimum qualifications Significant experience as a software engineer building and operating production distributed systems Deep knowledge of caching architectures, including invalidation strategies, consistency tradeoffs, and failure modes Experience operating Redis, Memcached, or similar in-memory data stores in production Proficiency in at least one systems programming language (e.g., Go, Rust, Java, C++) or Python at scale Track record of leading large, complex infrastructure projects as an engineer or tech lead Ability to balance moving quickly with the reliability needs of production systems Strong technical leadership and cross-functional collaboration skills Preferred qualifications 10+ years building and scaling distributed infrastructure, with 3+ years leading large-scale projects or teams Experience building managed infrastructure platforms or internal services consumed by many engineering teams Experience with change data capture (Debezium or similar) or streaming data infrastructure Experience operating Redis Cluster, Valkey, ElastiCache, Memorystore, or similar managed offerings at scale Experience designing client libraries or SDKs for internal infrastructure Experience scaling infrastructure through periods of rapid growth at high-growth companies Experience with multi-cloud or hybrid cloud deployments Contributions to caching systems, database internals, or related open source projects Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS, GCP, and Azure). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Responsibilities: Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. You may be a good fit if you have: 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $275,000 — $380,000 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: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts. KEY RESPONSIBILITIES ANALYTICS & TECHNICAL WORK - Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends. - Build and maintain data pipelines that deliver accurate, timely, and reliable billing data. - Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk. - Design and run A/B tests and experiments to evaluate billing and support initiatives. - Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics. - Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance. - Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies. - Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency. LEADERSHIP & COLLABORATION - Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output. - Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs. - Uplevel the team’s billing domain knowledge and analytical/technical skills. - Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals. QUALIFICATIONS - Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable). - Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing. - Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly. - People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results. - Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis. - Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar. - Strong communication: ability to explain complex findings to both technical and non-technical stakeholders. - Cross-functional collaboration: track record of influencing decisions with data across multiple departments. NICE TO HAVE - Python and/or modern analytics tooling (dbt, Airflow, or similar). - Experience building and maintaining ETL/ELT pipelines for billing or financial data. - Risk analysis or fraud-adjacent experience in billing contexts. - Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards). LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0 Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Lisbon Workplace: Hybrid Build with us Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow – with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. Your impact The Merchant Experience domain's mission is to craft seamless experiences so every Mollie moment feels intuitive, secure, and supportive. The vision is simple: customers stay focused on growing their business while Mollie just works. We are hiring UI Engineers across the domain. We care deeply about quality and well-designed experiences, not only for our customers, but especially for the engineers building Mollie's products. This means creating clean, well-documented APIs, reliable tooling and smooth workflows that make development, testing, localisation, and releases easier and more predictable. It also means owning the design system and navigation experience that merchants interact with every day, driving engagement, accessibility, and product activation at scale. As a UI Engineer, you bridge the gap between platform capabilities and the teams that rely on them, working across the frontend, backend and infrastructure as needed. This is not a role where you ship one feature and move on. You will have real ownership, real visibility, and the chance to do work that matters at scale.   What you'll ship - Own and evolve the Mollie UI design system, ensuring consistency and quality across web and mobile. - Rebuild and improve the mobile navigation architecture, covering both the system design and the visual experience. - Improve app accessibility in line with compliance standards, making Mollie more inclusive for all merchants. - Strengthen testing practices and automation to raise reliability and reduce regressions across the app. - Own the Upsell infrastructure and in-app messaging that enables targeted campaigns to drive merchant engagement and product activation. What you'll bring - 5 or more years of experience developing mobile apps and web applications, with solid hands-on React and/or React Native experience and a genuine, deep understanding of JavaScript fundamentals at a low level. - Experience with CI/CD pipelines and app release processes. - Comfort working with native browser APIs and language primitives, and enough CSS confidence to implement interfaces using design system components. - A track record of building or maintaining products at medium to large scale, where code quality, reliability, and performance actually matter, including experience with test-driven development and REST API design. - A product-first mindset with end-to-end ownership, from design iteration through to delivery with a focus on user experience and measurable outcomes. - A generalist mindset with strong communication skill. - Always Be Shipping mindset: consistently delivering value to customers, where speed and quality go hand in hand. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie is really like. AI at Mollie We believe in Always Be Shipping, and AI brings that philosophy to life across every team, every role, every day. AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In the UK, the compensation range for this role is GBP 103,958 - GBP 124,750 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from Spain. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project (link) , and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team's scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. What You’ll Be Doing: Take an active role in influencing our roadmap and your own career objectives Work with your team to deliver new features, then use the results to iterate and improve. Drive projects from initial ideation all the way to operations once it is in the hands of customers Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability Be a part of your team’s on-call rotations and take ownership of the services you’re running Mentor and support other team members, participate in design discussions and collaborate with the team Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: You are a motivated self starter with a bias towards action You are customer focused We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way Some experience with developing software that runs in the Cloud or some experience with systems engineering Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In Spain, the compensation range for this role is EUR 94,025 - EUR 112,830 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .