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Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS - Title: Engineering Satellite Build Lead - Location: Valencia, Spain - Department: Space Systems Testing Team, Engineering - Reports to: Testing Team Lead - Employment type: Permanent - Workplace model: Hybrid per company policy (up to 2 days/week remote); in practice, this hands-on, technical-managerial role requires being onsite at our Valencia office most of the time - Employment is subject to applicable security screening WHY THIS ROLE MATTERS You own the end-to-end build, integration, testing and delivery of the developmental satellites, starting with early preparation and alignment with designers, procurement and operations teams, through the Qualification Model (QM) and Flight Model (FM). You plan the AIT timeline, lead the build team, and keep build documentation, configuration tracking and lessons learned flowing back to designers, so every future unit is faster and easier to build. This position sits within the Testing Team. It is important to note that this is developmental, prototype satellite work rather than repeat-production integration: requirements are not yet frozen, designs evolve frequently, and the Lead is expected to resolve novel problems rather than execute a fixed procedure. WHO WE ARE ICEYE delivers space-based intelligence, surveillance and reconnaissance (ISR) capabilities to governments and allied nations, including sovereign and turnkey ISR missions built on ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, alongside access to data from the world's largest SAR satellite constellation. These capabilities let partners detect and respond to critical changes anywhere on Earth, day or night and in any weather, with ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defence, intelligence, security and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES Build, integration and delivery ownership (EC, Engineering Configuration) - Own end-to-end build, integration, testing and delivery of the R&D satellite system, across QM and FM units - Plan all AIT activities and the AIT timeline for R&D build - Manage the build team and actively participate in build execution - Own build documentation, including build records, configuration tracking (parts traceability) and high-level build procedures - Document lessons learned and give structured feedback to designers to improve build efficiency and testability QM and FM build and system-level testing - Plan and own the QM system build and its system qualification activities - Own system-level integration and testing of FM satellites, verifying functional performance, capturing any required modifications, and maintaining close traceability to support knowledge transfer to the production line - Define system-level test blocks and flows with technical owners, and plan, schedule and coordinate execution of functional tests, SLC, Mock Ops and other required system-level test activities (FM) - Across both QM and FM: accountable for test execution readiness and progress, but do not define test cases, test scenarios or test acceptance criteria (owned by Test Engineering / relevant technical owners) Scope boundaries - Does not own unit-level testing or qualification (owned by project leads / technical owners) - Does not own documentation updates resulting from future design changes (owned by designers); this role's build documentation, including Production documentation, reflects as-built execution only - Does not define system functional requirements or system test definitions, including test cases, scenarios or acceptance criteria (owned by systems engineers / test engineers) WHAT WE'RE LOOKING FOR Must haves: - Broad, hands-on technical depth across mechanical, electronics, RF and software domains, with deep expertise in at least one area and the ability to engage effectively and make sound decisions in the others - Proven track record planning and executing hardware build, integration and test (AIT) campaigns for complex electromechanical or electronic systems, ideally satellites or other high-reliability aerospace/defence hardware - Strong understanding of configuration management and parts traceability, and comfort owning build documentation and build records end to end - Experience managing a build or AIT team, including day-to-day task planning and hands-on participation in build execution - Ability to plan and hold a realistic AIT schedule across build, qualification (QM) and flight (FM) units, coordinating with test engineering, and systems engineering - Systematic, first-principles approach to build and integration problems, comfortable working across mechanical, electrical and software interfaces - Clear written and verbal communication, able to turn build lessons learned into structured, actionable feedback for designers - Maintain strong interpersonal connections and a collaborative spirit, bringing a steady presence to fast-paced or high-pressure environments. - Excel at building positive workplace relationships and navigating high-stress situations with composure and a collaborative mindset. Nice to haves: - Experience with SIGINT, SAR or other RF/payload satellite systems - Prior people management experience, or clear readiness to grow into a team lead role - Familiarity with system-level test activities such as functional tests, SLC (System Level Checks) or Mock Ops GROWTH PATH This role starts hands-on. In the first phase, you'll share the responsibilities described above with the Testing Team Lead while you build context on our systems, processes and team. As you grow into the role, you'll take it on more independently, owning AIT planning, build execution and team management end to end. Over time, the role is expected to evolve toward team leadership, potentially leading the build team directly. Even so, you'll stay hands-on with build execution and technical problem-solving rather than moving fully into management. APPLICATION PROCESS 1. Talent Acquisition screening 2. Hiring Manager interview 3. Take-home task and panel interview 4. (on-site) Technical / systems discussion with the SIGINT Testing Team 5. (on-site) Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing and success are a priority, with continuous professional development, training opportunities and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Russia; Moscow; Perm Workplace: remote About Xsolla Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players How We Work Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We work across time zones, so a design has to stand on its own. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible)

Location: Sydney 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 Harvey is looking for a driven, strategic, and entrepreneurial Sales Development Manager to build and lead our first SDR team on the ground in Australia and New Zealand. This is the first dedicated SDR leadership role in the region. You'll have a rare opportunity to build a foundational go-to-market programme from scratch, shaping how Harvey engages with the most forward-thinking law firms, professional services organisations, and in-house legal teams. You'll own everything from hiring and onboarding to coaching and performance management. You'll partner closely with Sales, Marketing, and RevOps to design a scalable, repeatable pipeline generation engine. You'll also help shape Harvey's regional go-to-market strategy by refining targeting, messaging, and outbound programmes that resonate with the ANZ legal market. If you're excited by the idea of building teams, developing talent, and driving impact at a fast-growing AI company transforming legal work, we'd love to meet you! WHAT YOU'LL DO - Build the ANZ foundation. Hire, onboard, and develop Harvey's first SDR team in Sydney, and set the team's structure, operating cadence, and performance standards. - Own regional pipeline performance. Drive the team's contribution to pipeline across inbound and outbound channels, with an initial focus on enterprise law firms and in-house legal teams, in close alignment with ANZ sales targets - Set goals and own the metrics. Define team goals and KPIs, track performance weekly, and use the data to decide where the team focuses. - Partner cross-functionally. Work closely with Sales, Marketing, and RevOps to improve lead routing, campaign effectiveness, and pipeline conversion. Build shared goals, a consistent operating rhythm, and feedback loops across teams, such as AE feedback on lead quality. - Partner with Account Executives. Shape SDR-to-AE pairings and joint account planning so the team helps AEs break into complex enterprise accounts. - Stay nimble. Redeploy the team quickly as priorities change, whether that's event-driven campaigns, outbound sprints, or inbound surges, rather than locking reps into fixed roles. - Partner with local leadership. Stay close to the APAC sales team to understand where they see the biggest challenges and opportunities. Use that insight to set the team's priorities, working within the frameworks and structures provided by HQ. - Support every segment. Work with Enterprise, Mid Market, and SMB teams to break into new logos and build pipeline across the market. - Coach and develop SDRs. Deliver hands-on coaching through regular 1:1s, call reviews, and deal strategy sessions. - Design onboarding and enablement. Partner with GTM Enablement to create programmes that ramp SDRs quickly and build deep product, industry, and prospecting expertise. - Refine targeting and messaging. Continuously test and improve outbound strategies, messaging, and account targeting based on ICP fit and performance insights. - Leverage data and tools. Use Salesforce, Salesloft, LinkedIn Sales Navigator, Gong, and ZoomInfo to track performance and optimise workflows. - Build a strong team culture. Foster a high-performance culture grounded in ownership, learning, and collaboration. WHAT YOU HAVE - A track record of building sales development teams from the ground up, ideally as a founding member of an SDR or BDR function in Australia. - Direct experience leading SDRs or BDRs in a high-growth, outbound-focused environment. - Hands-on experience running both inbound and outbound motions. - Comfort with ambiguity and rapid change. You're energised, not unsettled, when priorities shift, and you're excited to be the architect of something new. - Agency and independence. You're in tune with your local market and act on what the business needs, without waiting for direction from HQ. - The ability to influence without authority, navigate ambiguity, and advocate for your team across functions - A coaching-first leadership style. You invest in people, celebrate wins, and hold high standards with care. - A data-driven mindset, with the ability to analyse team performance, uncover insights, and iterate quickly. - Deep familiarity with modern sales development tools, and the ability to recommend and implement tech stack improvements. - Excellent communication skills and executive presence, both internally and externally. - A passion for AI, innovation, and the transformation of knowledge work, especially in professional services and legal. ADDITIONAL INFORMATION - Location: Sydney, NSW (Hybrid with flexibility) - Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home - Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more. - Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot. - Retirement & Security: Comprehensive coverage designed to support your long-term well-being. - Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents. - Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support. - Professional Development: Annual support for courses, certifications, conferences, and books. - Remote Work Allowance: Monthly support for home office, internet, and phone expenses. - Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-EP3 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: Paris, France Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Rejoignez-nous dans notre mission de transformer la façon dont le monde mange et fait ses courses. Chez Deliveroo, impact, innovation et croissance sont au cœur de tout ce que nous faisons. Notre équipe Commerciale développe des partenariats durables avec des restaurants et commerçants partout en France afin de les accompagner dans leur croissance grâce à des solutions innovantes, une approche orientée data et une excellence opérationnelle au quotidien. Nous recherchons un(e) Account Manager pour rejoindre notre équipe en France, dans un environnement de travail hybride avec des déplacements réguliers sur votre secteur. Dans ce rôle, vous contribuerez activement au développement et au succès d’un portefeuille stratégique de partenaires restaurants, tout en garantissant la meilleure expérience possible à nos partenaires comme à nos clients. ✨ Découvrez notre équipe Commerciale - ce qui nous anime, notre façon de travailler et ce que vous pouvez attendre de nous. Ce que vous ferez au quotidien Au sein de notre équipe Commerciale Régionale, vous accompagnerez vos partenaires restaurants dans le développement de leur activité sur Deliveroo. Votre rôle sera à la fois stratégique, analytique et relationnel. Vos principales missions : Gérer et développer un portefeuille stratégique de restaurants partenaires sur des marchés matures Construire des relations solides et durables avec vos partenaires en devenant leur interlocuteur(trice) privilégié(e) et expert(e) Food Tech sur votre secteur Analyser les performances commerciales et opérationnelles afin d’identifier des leviers de croissance et des opportunités d’optimisation Recommander et déployer des campagnes marketing et promotionnelles adaptées aux besoins de votre portefeuille Collaborer étroitement avec les Regional et City Managers afin de partager des recommandations stratégiques et des insights marché Accompagner les partenaires dans l’amélioration de leurs opérations et de l’expérience client Réaliser une veille concurrentielle régulière afin d’anticiper les tendances et identifier de nouvelles opportunités de développement Ce qu’il vous faut pour réussir Notre candidat(e) idéal(e) possède une expérience solide dans plusieurs des domaines suivants, ainsi qu’une forte envie d’apprendre et d’évoluer dans un environnement dynamique : Expérience en gestion de comptes stratégiques ou en développement de partenariats commerciaux Excellentes compétences relationnelles et capacité à construire des partenariats de confiance sur le long terme Solides compétences en négociation et en gestion commerciale Capacité à analyser des données de performance et à transformer les insights en actions concrètes Autonomie, sens des priorités et capacité à gérer plusieurs sujets simultanément Esprit proactif, orienté résultats et amélioration continue Très bonnes compétences en communication en français et en anglais, à l’écrit comme à l’oral Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: Lisbon, Portugal 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. About the Role We are a large-scale consumer marketplace building AI-native product experiences across multiple markets. Trust and Safety is not a defensive function here - it is a strategic growth lever. A platform users trust converts better, retains longer, and earns stronger word of mouth. Fraud, abuse, and bad actors actively destroy the value we create; eliminating them is product work at its core. We are looking for a Lead Product Manager to own the Trust & Safety product agenda end-to-end. You will define the strategy for how we detect and prevent fraud, protect user integrity, and keep our marketplace safe - while building systems that are intelligent, proportionate, and do not create friction for the millions of legitimate users who rely on us every day. AI is central to how you will do this: not as an add-on, but as the foundation of a new generation of proactive, signal-driven safety infrastructure. This role can be based in Spain, Portugal or Poland. What you will do: Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention: build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling that make this possible. Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences. What we are looking for: Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment. Proven experience owning trust related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology. Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust related issues, rather than relying solely on manual or operational processes. Strong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes. Experience partnering closely with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders to deliver complex products in regulated or high-risk environments. Experience in vendor management and collaboration. Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems. Hands-on experience with AI-powered trust or fraud products is a plus. Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams. Strong core product muscle that transfers across fraud domains—you've stepped into unfamiliar threat vectors, oriented fast, and delivered. Domain specificity matters; rigid domain lock-in does not. Well versed in building, iterating core Data (Science) products at scale Nice to Have: Experience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments. Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust. If you're excited by the opportunity to solve complex trust challenges at scale and build products that make a meaningful difference to millions of users, we'd love to hear from you. This is a role for someone who enjoys tackling ambiguous problems, partnering across disciplines, and shaping the future of trust in a modern, AI-powered marketplace. 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: Remote Portugal, Portugal 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. About the Role We are a large-scale consumer marketplace building AI-native product experiences across multiple markets. Trust and Safety is not a defensive function here - it is a strategic growth lever. A platform users trust converts better, retains longer, and earns stronger word of mouth. Fraud, abuse, and bad actors actively destroy the value we create; eliminating them is product work at its core. We are looking for a Lead Product Manager to own the Trust & Safety product agenda end-to-end. You will define the strategy for how we detect and prevent fraud, protect user integrity, and keep our marketplace safe - while building systems that are intelligent, proportionate, and do not create friction for the millions of legitimate users who rely on us every day. AI is central to how you will do this: not as an add-on, but as the foundation of a new generation of proactive, signal-driven safety infrastructure. This role can be based in Spain, Portugal or Poland. What you will do: Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention: build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling that make this possible. Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences. What we are looking for: Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment. Proven experience owning trust related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology. Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust related issues, rather than relying solely on manual or operational processes. Strong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes. Experience partnering closely with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders to deliver complex products in regulated or high-risk environments. Experience in vendor management and collaboration. Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems. Hands-on experience with AI-powered trust or fraud products is a plus. Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams. Strong core product muscle that transfers across fraud domains—you've stepped into unfamiliar threat vectors, oriented fast, and delivered. Domain specificity matters; rigid domain lock-in does not. Well versed in building, iterating core Data (Science) products at scale Nice to Have: Experience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments. Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust. If you're excited by the opportunity to solve complex trust challenges at scale and build products that make a meaningful difference to millions of users, we'd love to hear from you. This is a role for someone who enjoys tackling ambiguous problems, partnering across disciplines, and shaping the future of trust in a modern, AI-powered marketplace. 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: Barcelona, Spain 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. About the Role We are a large-scale consumer marketplace building AI-native product experiences across multiple markets. Trust and Safety is not a defensive function here - it is a strategic growth lever. A platform users trust converts better, retains longer, and earns stronger word of mouth. Fraud, abuse, and bad actors actively destroy the value we create; eliminating them is product work at its core. We are looking for a Lead Product Manager to own the Trust & Safety product agenda end-to-end. You will define the strategy for how we detect and prevent fraud, protect user integrity, and keep our marketplace safe - while building systems that are intelligent, proportionate, and do not create friction for the millions of legitimate users who rely on us every day. AI is central to how you will do this: not as an add-on, but as the foundation of a new generation of proactive, signal-driven safety infrastructure. This role can be based in Spain, Portugal or Poland. What you will do: Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention: build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling that make this possible. Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences. What we are looking for: Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment. Proven experience owning trust related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology. Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust related issues, rather than relying solely on manual or operational processes. Strong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes. Experience partnering closely with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders to deliver complex products in regulated or high-risk environments. Experience in vendor management and collaboration. Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems. Hands-on experience with AI-powered trust or fraud products is a plus. Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams. Strong core product muscle that transfers across fraud domains—you've stepped into unfamiliar threat vectors, oriented fast, and delivered. Domain specificity matters; rigid domain lock-in does not. Well versed in building, iterating core Data (Science) products at scale Nice to Have: Experience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments. Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust. If you're excited by the opportunity to solve complex trust challenges at scale and build products that make a meaningful difference to millions of users, we'd love to hear from you. This is a role for someone who enjoys tackling ambiguous problems, partnering across disciplines, and shaping the future of trust in a modern, AI-powered marketplace. 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: Remote Spain, Spain 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. About the Role We are a large-scale consumer marketplace building AI-native product experiences across multiple markets. Trust and Safety is not a defensive function here - it is a strategic growth lever. A platform users trust converts better, retains longer, and earns stronger word of mouth. Fraud, abuse, and bad actors actively destroy the value we create; eliminating them is product work at its core. We are looking for a Lead Product Manager to own the Trust & Safety product agenda end-to-end. You will define the strategy for how we detect and prevent fraud, protect user integrity, and keep our marketplace safe - while building systems that are intelligent, proportionate, and do not create friction for the millions of legitimate users who rely on us every day. AI is central to how you will do this: not as an add-on, but as the foundation of a new generation of proactive, signal-driven safety infrastructure. This role can be based in Spain, Portugal or Poland. What you will do: Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention: build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling that make this possible. Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences. What we are looking for: Significant product management experience in the digital sector: consumer facing platform, marketplace, mobility, e-commerce, classifieds, fintech, or similar high scale environment. Proven experience owning trust related products or problem spaces such as Trust & Safety, Fraud Prevention, Risk, Identity & Verification, Marketplace Integrity, Account Security, Abuse Prevention, Payments Risk, or Compliance Technology. Track record of building scalable systems that proactively detect, prevent, and mitigate abuse, fraud, risk, or other trust related issues, rather than relying solely on manual or operational processes. Strong analytical and data driven mindset, with experience defining success metrics, evaluating impact, and making prioritization decisions based on evidence and measurable outcomes. Experience partnering closely with Engineering, Data Science, Operations, Legal, Compliance, and other cross-functional stakeholders to deliver complex products in regulated or high-risk environments. Experience in vendor management and collaboration. Experience building, deploying, or working closely with machine learning, AI, risk scoring, decisioning, detection, recommendation, or automation systems. Hands-on experience with AI-powered trust or fraud products is a plus. Demonstrated ability to balance user experience, marketplace growth, operational efficiency, and risk mitigation, making thoughtful trade offs that protect both users and the business. Comfortable operating in ambiguity, taking ownership of complex problem spaces, influencing senior stakeholders, and driving strategy and execution across multiple teams. Strong core product muscle that transfers across fraud domains—you've stepped into unfamiliar threat vectors, oriented fast, and delivered. Domain specificity matters; rigid domain lock-in does not. Well versed in building, iterating core Data (Science) products at scale Nice to Have: Experience building trust, risk, fraud, or safety products across multiple international markets and regulatory environments. Familiarity with emerging regulations and industry trends affecting online platforms, digital marketplaces, payments, AI, and consumer trust. If you're excited by the opportunity to solve complex trust challenges at scale and build products that make a meaningful difference to millions of users, we'd love to hear from you. This is a role for someone who enjoys tackling ambiguous problems, partnering across disciplines, and shaping the future of trust in a modern, AI-powered marketplace. 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: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a 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 and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key 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. Preferred qualifications 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 Fluent in Korean and English 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: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role / impact This senior engineering post sits right at the core of Practice Tools, balancing hands-on delivery with leading the team's adoption of artificial intelligence. You will own crucial infrastructure, CI/CD pipelines, monitoring, and alerting, ensuring reliable foundational systems that wider product teams depend upon. Beyond core engineering, you will spearhead the transition toward an agentic software development lifecycle. By building on existing prototype agents, experimenting with AI-assisted workflows, and mentoring team members, you will shape how software is built while establishing a clear trajectory towards future technical leadership. The team / how they connect You will join a collaborative, close-knit group of engineers based across New Zealand who manage staff permissions, practice provisioning, and system deletion. The team operates with high autonomy, working closely together to deliver foundational capabilities that power the broader Practice Tools ecosystem. Communication is open and frequent, creating a supportive environment where diverse perspectives and fresh ideas are truly valued. Initially, you will focus on - Delivering key billing changes within the Practice Tools domain using React, JavaScript or TypeScript, and Java or .NET. - Rolling out the Xero Partner Hub across all global regions to elevate the practice experience. - Retiring legacy HQ components once the hub is live to improve system reliability and cost efficiency. - Aligning authorization models with OAuth standards while advancing AI-driven automation across the delivery pipeline. Where and how you can work This position offers flexible working options for candidates based in New Zealand. You can choose to work remotely from home or access our modern office spaces in Wellington or Auckland. Whether you prefer coming into an office daily or working entirely from home, our setup supports your preferred working style alongside occasional team connection opportunities. Here are some of the things we are looking for - Experience developing web applications using React alongside JavaScript or TypeScript. - Solid background in backend development (Preferably either Java or .NET) - Practical knowledge of modern DevOps practices, including CI/CD pipelines using tools like GitHub Actions, Jenkins, or Spinnaker, along with robust monitoring and alerting. - Direct hands-on experience building with AI and agentic systems beyond basic prompt engineering. - A proven track record of mentoring junior colleagues and patiently guiding team members through new technical methodologies. - A proactive, self-directed mindset with the drive to take ownership of complex technical challenges and grow toward senior leadership. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Position Summary: Prove empowers customers to create memorable experiences across all client interaction channels. Solutions Engineers act as subject matter experts, providing product and market expertise essential for Prove's growth. They collaborate with Sales Directors and Strategists to communicate solutions and support implementation teams. They also work with product leaders to stay ahead of market trends and unmet needs. Key Responsibilities: — Design and clearly communicate solutions demonstrating understanding of business value and technical challenges. — Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive technical wins and align with technical buyers during sales cycles. — Participate in IPM / OM hand-offs as needed. — Lead product and technology evaluations with Sales Directors to ensure successful client engagements. — Deliver detailed product presentations and demonstrations. — Build credibility with prospects through expert knowledge of product, technical, business, and industry domains. — Address business and technical challenges with tailored Prove services and solutions. — Assist sales teams in articulating value propositions and selecting optimal solutions. — Support execution of approved Proof of Concept (POC) Data Studies alongside Data Science. — Support handoff to Onboarding Manager, IMP, Account Manager at various customer lifecycle stages. — Collaborate cross-functionally with Sales, Account Management, Onboarding, Implementation, Solutions Consulting, Product Management, and Executive teams to close new customers and ensure successful implementation. — Stay informed on industry trends and market disruptors through reading, workshops, and webinars. — Create public-facing architecture/flows of Partner + Prove integrations. — Enable Prove SEs and IPMs on technical integrations for accurate communication alongside sellers. — Enable Partner technical counterparts on Prove value proposition and integration to support partner sellers. — Own technical and product evaluation and integration planning for new partner integrations in partnership with GTM Partnerships. Qualifications and Experience: — Minimum 2 years of relevant experience in solutions architecture, technical pre-sales, or solutions engineering. — Experience in a high-growth startup or technical environment. — Technical experience implementing REST style APIs. — Solid understanding of oAuth and other API authentication technologies. — Good understanding of API integrations from standard API specifications in one or more programming languages such as Javascript, Java, C++, Python. — Ability to build customized workflows by engaging with customers. — Understanding of basic security concepts including encryption, hashing, behavior biometrics, and native app SDKs. — Responsive and dedicated to clients, both internal and external. — Strong verbal, writing, storytelling, and client interaction skills. — Clear sense of ownership and accountability. — Self-starter with capacity to learn quickly. — Preferred experience in cybersecurity, fintech, or fast-growing startups. Salary: — Metro 2 areas (NYC, Seattle, Los Angeles, Miami): $125,000 - $135,000 plus sales incentive plan. — Metro 3 areas (other US cities except San Francisco Bay Area): $110,000 - $123,000 plus sales incentive plan. — Salary determined by experience, skills, geo-location, internal equity, and market data. Benefits & Perks: — Competitive salaries, bonus plan, and equity plan. — Modern Health for financial, mental, and physical wellness. — 401(k) Retirement Plan & Match (US Offices) and Local Country Pension (International Offices). — Unlimited vacation and flexible hours. — Comprehensive medical benefits for employees and families. — Emotional & Physical Wellness services (EAP & Prove Well-Being Reimbursement). — Snacks and beverages at certain office locations. — Daily GrubHub stipend for lunch if working in office (US Offices). Equal Opportunity Employment: Prove is committed to equal employment opportunity regardless of race, color, religion, gender, sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status, or other personal characteristics. Privacy & Data Protection: Prove collects and uses personal information during the job application process as detailed in their Recruitment Privacy Policy.

Location: San Francisco APPLICATIONS CLOSED The general application portal has closed for 2026. We will reopen applications at some point in 2027. Thank you for your interest in Perplexity careers! Welcome! This is the general application portal for university students and recent graduates who wish to be considered for full-time Member of Technical Staff positions at Perplexity. Our elite new grad cohorts enjoy unparalleled mentorship, top-of-market compensation, and the chance to tackle some of the deepest, thorniest challenges in frontier intelligence https://www.perplexity.ai/hub/blog/category/research. NOTE: if you attend one of our focus schools listed below, please do not apply via this portal as it is infrequently monitored due to high volume. Apply instead via the school-specific application portal below to ensure your application receives priority attention. FOCUS SCHOOLS (UNITED STATES) - APPLICATION PORTALS Caltech https://pplx.ai/2026Caltech | Columbia https://pplx.ai/2026Columbia | Cornell https://pplx.ai/2026Cornell | CMU https://pplx.ai/2026CMU | Duke https://pplx.ai/2026Duke | Georgia Tech https://pplx.ai/2026GATech Harvard https://pplx.ai/2026Harvard | MIT https://pplx.ai/2026MIT | Michigan https://pplx.ai/2026Michigan | Northwestern https://pplx.ai/2026Northwestern | NYU https://pplx.ai/2026NYU | Penn https://pplx.ai/2026Penn Princeton https://pplx.ai/2026Princeton | Purdue https://pplx.ai/2026Purdue | Stanford https://pplx.ai/2026Stanford | UC Berkeley https://pplx.ai/2026Berkeley | UChicago https://pplx.ai/2026UChicago UCLA https://pplx.ai/2026UCLA | UIUC https://pplx.ai/2026UIUC | UNC Chapel Hill https://pplx.ai/2026UNC | UT Austin https://pplx.ai/2026UTAustin UWashington https://pplx.ai/2026UW | Yale https://pplx.ai/2026Yale FOCUS SCHOOLS (CANADA) - APPLICATION PORTALS McGill https://pplx.ai/2026McGill | UBC https://pplx.ai/2026UBC | UToronto https://pplx.ai/2026UToronto | Waterloo https://pplx.ai/2026Waterloo EARLY CAREER TALENT @ PERPLEXITY Perplexity believes that exceptionally talented individuals at any stage can thrive in our high-velocity, high-ownership culture. Our early career talent program revolves around: - Breadth: New grads at Perplexity work across the stack, from Perplexity's agent harnesses to our AI inference and training systems. Many of our most beloved features and most important systems were shipped by individuals fresh out of school. - Depth: New grads are entrusted (and expected) to dive deep into whatever problem domains you work on. Often, your work will require you to become a world expert in some problem space that few others in the world have encountered. - Mentorship & Growth: We keep the size of our entering new grad cohorts at well below 10% of our technical team. Each individual enjoys a rich network of mentors to help them grow, and our new grads have a track record of becoming some of Perplexity's most senior and prolific team members. - Recognition: We select for the best and we recognize them accordingly. We set our early career compensation to rise well above that of top tech companies and startups. Post-hire, we aggressively recognize and reward growth in role. - Mission: Perplexity is AI for people who expect more. Our mission is to build frontier intelligence for the world's most discerning users, and each contribution you make will directly advance that mission. ACADEMIC REQUIREMENTS If you're not applying from a focus school listed above, we typically require you to possess the following qualifications: 1. GPA of ≥3.92, averaged across all CS and Math classes; and 2. Grade of A or A+ in your school's upper-level algorithms course. Additional advanced coursework in areas such as systems, AI/ML, advanced math, and other rigorous subjects is highly welcome.   NON-QUALIFYING APPLICATIONS - EVIDENCE OF EXCEPTIONAL ABILITY While you're welcome to submit your application if you don't meet these criteria, we will be looking for other evidence of exceptional ability. You are encouraged to briefly describe this evidence in response to the "Anything Else" question at the bottom of the application form. NOTE ON FELLOWSHIP OPPORTUNITIES This portal accepts applications for full-time roles at Perplexity. Internship applications are not accepted via this portal. If you're interested in short-term opportunities with our team, you may instead be interested in the Perplexity Research Fellowship. The Fellowship has a separate application process detailed here https://pplx.ai/fellowship. Note that Fellowship applications are extremely competitive; in particular, we don't expect to admit any undergraduate students to the Fellowship before their final year of study.

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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal Tech engineers play a specialized and critical role in keeping Claude at the frontier. Partnering closely with counsel, we provide custom infrastructure and guidance for complex, novel technical matters, empowering teams across the company to continue meeting our legal obligations as we innovate. As a Senior+ Software Engineer on our Legal Tech team, you'll build dedicated, highly secure, and reliable cloud environments and data processing and storage capabilities at speed and scale. You will own your scope end to end: from raw requirements all the way through to large-scale production systems that satisfy legal invariants and unlock new possibilities. The systems you build won't just be dependable and scalable; they'll be interpretable and auditable, demonstrating to skeptical audiences exactly how they worked and why results can be trusted. You'll be an essential member of a collaborative team, working together to solve difficult problems against fixed deadlines. You will own internal customer relationships as well: you'll gather, prioritize, and coordinate needs from colleagues on Privacy, Security, Research, and/or Infra as well as Legal, to ship the right capabilities on the right timelines. You'll act as a trusted advisor: clearly explaining technical concepts and constraints to inform legal decisions, and proactively designing new approaches to prevent classes of problems. Your infrastructure expertise will directly empower our business to calibrate and manage risk, innovating faster thanks to systems that build in legal considerations. Key responsibilities Build and operate dedicated cloud infrastructure, storage, and data pipelines for specialized workloads that can't run on general-purpose systems Design architectures with excellent security, privacy, reliability, scalability, and auditability baked in Partner with a wide range of internal customer teams to translate requirements into sound approaches and realistic ETAs Deliver against fixed deadlines Support complex and novel legal requests on controlled infrastructure, with verifiable chain of custody Pair with engineering teams across the company to extend existing infrastructure to support new workflows and/or legal requests Work with nontechnical stakeholders to clarify their needs through responsive, easy-to-follow dialogue Minimum qualifications Experience designing, building, and operating highly trusted infrastructure and data systems in production, including owning architectural decisions Experience working across large, complex, multi-team environments, including in stacks and code you don't own Ability to take ownership of a cloud account and secure it end to end (networking, storage, identity, encryption, least-privilege provisioning, etc.) on AWS and/or GCP Ability to translate legal and privacy requirements into sound technical designs and implementations that teams are excited to adopt A habit of verifying rather than assuming: designing checks for invariants and plainly naming what isn't proved Self-directed in a high-change environment, and comfortable resequencing quickly when new needs emerge Clear communication with nontechnical stakeholders, and an understanding of their needs Preferred qualifications Software engineering experience with an infrastructure, data, privacy, and/or security focus Proficiency with large-scale data tooling, such as distributed processing, lakehouse table formats, and/or query engines Understanding of data processing pipelines, LLM training, and/or provenance and lineage Experience with secure enclaves, confidential computing, clean rooms, or other purpose-built environments for sensitive data Background in eDiscovery, litigation support, or records retention at scale, including chain of custody and verifiable integrity The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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-Friendly, United States 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 State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California  —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI Work with the Communications team to develop clear, accurate messaging for regional policy campaigns Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments Manage the outside advisors and registered lobbyists who support Anthropic's work in your region Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications Align with our mission and embrace the imperative of policy impact and change Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles Are prepared to travel regularly across the region Preferred qualifications Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments Can work well under time pressure and manage competing demands Can translate complex technical topics into clear, accessible language for policymakers and residents alike Have experience working with communications teams to develop effective messaging for policy campaigns Are comfortable being honest about tradeoffs, including in rooms where people disagree with us Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $265,000 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: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Monterrey, Mexico; Montevideo, Uruguay; Odesa, Ukraine; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a very senior hands-on Data Engineer with strong SAP BW and Snowflake experience who has led engineering teams. About 70% of the engineering work is extracting data from SAP BW and integrating it into Snowflake. You will work side by side with a recently appointed Engineering Manager who comes from a non-engineering background, helping them build engineering leadership skills. Together you will grow the team toward independent, high-performing delivery: operating model, engineering practices, standards and delivery discipline. The goal is for the client's team to run independently within about a year. You will get there through coaching-by-doing and knowledge transfer rather than long-term vendor dependency. The client is headquartered in Southern California, USA. Working on site for the first 4–6 weeks is mandatory for this role, to build trust and work directly with the Engineering Manager and the team. After that, you will be on site a few days a week during the following weeks. A valid US visa, or the ability to obtain one quickly, is required. The project supports a large international consumer goods company that is scaling its Snowflake-based data platform. Selected datasets are moved from SAP BW into Snowflake one business case at a time. They feed data products for sales and distribution, retail and market analytics, and e-commerce. The platform is already critical to the business: hundreds of business users work every day with AI-powered analytics built on Snowflake Cortex and Streamlit. Design, build and run data pipelines from SAP BW into Snowflake, including full and delta loads Do hands-on engineering work while coaching the Engineering Manager and the team Help the Engineering Manager build engineering leadership skills: planning, code quality, technical decision-making, managing engineers and contractors Establish reusable ingestion, modeling and data quality patterns for the team Define and roll out engineering standards: code review, testing, CI/CD, documentation, delivery discipline Deliver data products for sales, distribution and retail analytics in close collaboration with business stakeholders Work with a distributed team of internal engineers and external contractors across time zones Reduce key-person dependency through knowledge transfer and pairing Help introduce AI-assisted and agentic engineering practices across the development lifecycle Work with the Lead Architect to keep delivery aligned with target architecture and governance 7+ years of hands on data engineering experience including lead roles Hands on experience extracting data from SAP BW into a cloud data warehouse Strong hands on experience with Snowflake including data loading performance cost awareness security and access model Experience with data modeling approaches such as dimensional modeling or Data Vault Experience with data quality practices Experience with dbt Experience leading a team of around 10 engineers Experience coaching a manager or team lead into an engineering leadership role through hands on collaboration Experience working with distributed teams and external contractors or vendors Experience applying AI in engineering or data work with a concrete example of problem solution tools and outcome English Upper Intermediate or higher Readiness to work on site in Southern California for 4–6 weeks at the start of the engagement Experience with SAP BW/4HANA, SAP Datasphere or migrations from SAP to cloud platforms Snowflake Cortex, Streamlit or semantic layer experience CPG, retail or distribution domain; retailer data platforms or syndicated market data (POS, Nielsen-type datasets) Experience building an engineering operating model or data engineering maturity roadmap Exposure to Microsoft Fabric or Databricks Experience with international client-facing engagements