Вакансии

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: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company’s performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo’s Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo’s success. ROLE We're looking for an IT Administrator - AI & Cybersecurity to join our Corporate team. In this role, you'll own the intersection of IT operations, cybersecurity and AI platform administration, reporting directly to the IT Manager. IT & SaaS Administration - Administer the core SaaS stack - Okta (SSO, SCIM, lifecycle, policies), Google Workspace, Slack, Notion, GitHub Enterprise Cloud and 100+ applications across multiple legal entities - Own the MDM estate (Jamf and Intune) across macOS, iOS and Windows: enrolment, compliance baselines, patching and disk encryption - Act as the L2/L3 escalation point for internal support, handling endpoint, identity and SaaS incidents that L1 cannot resolve - Automate manual run work through scripting, APIs and AI agents where they genuinely add value Cybersecurity - Drive the identity hardening roadmap: session lifetimes, adaptive and phishing-resistant MFA, privileged access management and admin role reviews - Own OAuth and third-party app governance across Google Workspace and Okta: inventory, risk-scoring and approval workflows - Control SaaS data exposure - publicly and externally shared files, orphaned shares - and build the tooling to support it - Contribute to the ZTNA rollout, geo-based access controls and detection & response alongside the SOC and SIEM AI Platform Administration - Administer enterprise AI platforms (Claude, Google Gemini & Vertex AI, OpenAI and others): tenants, SSO, licences, usage analytics and budget control - Strengthen the AI governance framework: acceptable-use rules, data classification boundaries, DLP and logging - and detect shadow AI usage - Administer connectors, MCP servers and agent integrations PROFILE - 5+ years of experience in IT administration, infrastructure or IT security in a fast-moving, multi-geography environment - Deep hands-on expertise with IdP administration - Okta strongly preferred - and Google Workspace at enterprise scale - Solid MDM experience across macOS and Windows (Jamf and/or Intune) - Demonstrable cybersecurity practice: IAM hardening, SaaS security posture management, OAuth risk and incident response - you have shipped security work, not just studied it - Automation is a reflex: proficiency in scripting (Python, Bash, PowerShell) and working with REST APIs and workflow tools - Practical experience with enterprise AI platforms and a genuine understanding of the risks introduced by models, agents and connectors accessing corporate data - Able to communicate security trade-offs clearly to executives and technical workarounds to developers - Fluent English is required, French is a plus - Nice to have: security certifications (Security+, CISSP, Okta Certified), ZTNA/SASE or SSPM exposure, cloud IAM on GCP or AWS, ITSM platform experience BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Xometry is an on-demand manufacturing marketplace connecting customers with manufacturers for custom industrial parts. As Staff Product Manager for Pricing, you will own the strategy and roadmap for pricing and manufacturability across the EMEA region, a technical, cross-functional role at the intersection of pricing strategy, manufacturing domain expertise, and applied AI. Задачи: — Define and drive a multi-year roadmap for pricing and manufacturability in Europe, translating market dynamics, competitive positioning, and customer behavior into a pricing strategy that accelerates sales growth without sacrificing margin discipline. — Lead the Intelligent DFM Workbench systems and models that determine pricing of custom parts across European markets, identifying and closing gaps where pricing is too slow, rigid, or disconnected from manufacturability cost. — Partner with global product, data science, and ML engineering teams to adapt and scale AI-driven pricing and manufacturability solutions for Europe, including geometry-based cost estimation, manufacturability scoring, and pricing optimization models. — Define and track key metrics such as win rate, price realization, quote-to-order conversion, margin accuracy, and manufacturability sign-off latency to prioritize the roadmap. — Act as the hub between Sales, Sourcing, Data Science, Engineering, and regional leadership across Europe, presenting strategy, trade-offs, and ROI to executive leadership regionally and globally. — Represent Europe in global strategy to ensure market realities shape Xometry's global pricing and AI product direction. Требования: — 8+ years of product management experience, including leading AI/ML-powered or technical products in B2B, marketplace, or manufacturing/engineering environments. — Experience owning a system of record or complex data contract with human-in-the-loop workflows. — Experience designing policy-driven workflows such as approval routing, tiered sign-off, escalation logic. — Ability to operate across regions and stakeholder groups to maintain a single global design standard. — Exceptional written and verbal communication skills to distill technical and operational complexity for engineers and executives. — Rigorous, data-driven approach to prioritization, experimentation, and measuring impact on cycle time, quality, and customer/partner satisfaction. — Familiarity with manufacturing processes and DFM principles (CNC machining, sheet metal, additive manufacturing, injection molding) is a strong plus. — Comfort with geometry-based feasibility rules. — Track record partnering with data science and ML engineering teams to ship models into production; experience with computer vision, 3D/geometric analysis, or applied LLM/VLM is a plus. — Bachelor's degree in Engineering, Computer Science, Business, or related field; advanced degree (MBA, MS) is a plus. Xometry is an equal opportunity employer; all applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries. 💰 $100 Bonus Opportunity: Candidates who successfully complete the coding assessment and meet our quality standards may be invited to an additional evaluation stage. Candidates who successfully pass this stage and are selected to proceed to the final interview will receive a $100 bonus . To be considered for the assessment, please submit your resume through this job application. If your resume is approved, we’ll send you the coding assessment with further instructions. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schema s and relationships. Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules). Write pragmatic, production-ready code that’s easy to reason about and iterate on. Optimize for correctness and performance : efficient queries, smart indexing, and lean responses. Work with the team to turn product ideas into concrete technical designs and endpoints. Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow. What We’re Looking For Strong experience building backend applications with Python + Django . Solid understanding of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real- world feedback. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast. Background in algorithms, optimization, or data-heavy systems. Experience with Google Cloud Platform (GCP) in production. Familiarity with Redis (caching, queues) and PostgreSQL at some scale. Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP. This role is a central piece of our backend roadmap , and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now. Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Location: Yerevan, Armenia Workplace: onsite EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people. With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. We are looking for a dedicated Senior Software Engineer to join our team in Armenia! About the role: We are looking for a senior generalist engineer. You will work across PHP, AngularJS, Go, Node, and SQL. Strong in PHP, able to pick up Go and Node as needed, able to work in a system you did not write. You own features from design to production, write short design docs before non-trivial work, and work directly with product and QA. You already use agentic coding tools daily. Senior here is not about years of experience. It is about how you operate, technically and with people: Takes the hard tasks. Picks up the unclear, risky, or unpopular problem and drives it until it is working in production for real users. Done means live, not a ticket status. Flexible in solutions. Has more than one way to solve a problem and chooses based on constraints, not habit. Moves fast when it matters. Knows when to ship quickly and when to slow down, and can tell the difference. Communicates. Explains decisions clearly, keeps people informed, raises problems early instead of late. Gives and takes feedback. Direct, specific, constructive. Not defensive when the feedback comes back. Owns outcomes. Not just the code, but whether the thing actually works for the people using it. What you'll get to do: Build and ship features across the stack: data model, API, UI. Help split the monolith into services: define service boundaries, plan data migrations, roll out changes step by step without downtime. Modernize legacy code where it pays off. Write short design docs for non-trivial changes. Own what you ship: monitoring, alerts, fixes. Design schemas, write efficient queries, build reports operators depend on. Review code and mentor. What we're looking for: Solid experience building and running production software at a senior level. Strong in PHP; able to pick up Go and Node as needed. Solid with relational databases: schema design, query performance, migrations on live data. Experience improving a large legacy codebase incrementally. Usage of agentic AI coding tools daily. You can show us how you plan work for an agent, where you trust it, and where you don't. Writing tests and treating correctness especially seriously where money, commissions, and reporting are involved. Writing clear design docs, tickets, and PR descriptions. Communicating directly with product, QA, and non-technical stakeholders. Working English, spoken and written. Nice to have Splitting a monolith into services in production. Kubernetes and Cloudflare in daily operations. LLM-backed features: pipelines, evaluation, self-hosted open-weight models, MCP servers. Applied ML in production (recommendation or scoring). Payments, fintech, or iGaming. Web scraping at scale, anti-bot handling, proxies. Here's what we offer: Start with 24 days of annual leave, with 2 additional days added each year, up to 34 days by your fifth year with us. Benefit from two Free Fridays each year, limited to one per quarter. Access online learning platform like Udemy for Business, and a budget for external training. Daily catered lunch or monthly lunch allowance. Private Medical Subscription. Gym allowance. Parking Team-building activities in various locations.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Onchain Data Team The Onchain Data team builds the core data and technology infrastructure behind OKX Web3. We connect to diverse blockchain networks and collect, process, govern, interpret, and serve large-scale onchain data, delivering accurate, real-time, and reliable capabilities to Wallet, DEX, Explorer, Risk, CeFi, and AI products. Our scope includes, but is not limited to: Multi-chain data ingestion, parsing, computation, and unified data models; Data capabilities for onchain assets, transactions, addresses, tokens, contracts, and projects; Blockchain explorers, the Project Marketplace, Onchain Data APIs, bots, and agents; Labels, risk detection, risk-control data, and security investigation capabilities; DEX trending rankings, token scoring, and other onchain data products; Global multi-region deployment, high-availability architecture, performance optimization, and system reliability; Deep application of AI in engineering, data analysis, risk investigation, and intelligent operations. You will work on challenges involving heterogeneous chains, large-scale data, real-time computation, high concurrency, high availability, data accuracy, and complex cross-functional collaboration. Your work can directly improve user experience, asset security, and business growth. What You May Work On This is a broad hiring track rather than a single fixed role. Your responsibilities will be matched to your strengths, experience, and interests, and may include one or more of the following: Design, build, and evolve onchain data infrastructure, data services, or business systems, taking ownership of the quality and outcomes of critical modules. Build multi-chain ingestion, real-time and batch computation, data governance, search, storage, and serving capabilities, continuously improving data accuracy, completeness, and freshness. Contribute to blockchain explorers, the Project Marketplace, onchain assets, labels, risk control, DEX rankings, token scoring, and related platforms or products. Identify critical technical and business problems, make sound judgments, design solutions, coordinate resources, drive execution, and review outcomes. Build highly available, high-performance, scalable global systems, while continuously improving reliability, cost efficiency, delivery efficiency, and user experience. Use AI tools deeply and explore agents, intelligent investigation, engineering automation, and intelligent operations, turning successful practices into reusable team capabilities. Collaborate with product, data, security, algorithm, operations, and engineering teams to drive cross-functional initiatives to completion. What We Value Most Hunger — Curiosity and Drive You stay curious about AI, Web3, emerging technologies, and new business domains, and can learn unfamiliar areas quickly. You do not wait for instructions when facing a problem; you proactively understand the context, identify solutions, and drive execution. You go beyond completing assigned tasks and continue to ask about outcomes, user value, and opportunities for improvement. Cognition — Cognitive Ability and Judgment You can quickly understand complex technical and business problems, build a structured mental model, and identify the core issue and key trade-offs. When information is incomplete or the situation is uncertain, you can form sound judgments based on facts and logical reasoning. You can compare the value, cost, risk, and long-term impact of different options, clearly explain your rationale, and turn decisions into executable plans and results. What We Are Looking For Strong computer science fundamentals and coding ability in at least one mainstream programming language, such as Java, Go, Python, or C++. Clear logical thinking and strong problem decomposition skills, with the ability to independently solve complex technical or business problems. Hands-on experience in one or more of the following areas: Backend and distributed systems; Real-time or batch data processing, data platforms, search, and storage; High-concurrency, high-availability systems, and reliability engineering; Risk control, security, strategy, or data analysis; AI agents, LLM applications, or engineering productivity. A strong sense of ownership and accountability, with the ability to drive initiatives through to measurable outcomes. Open, direct, and effective communication, with a willingness to solve problems across teams. Strong learning ability and growth potential. We value solid engineering fundamentals, but do not use mastery of one specific framework or middleware stack as the sole hiring criterion. Preferred Qualifications Experience with Web3, public blockchains, onchain data, wallets, DEXs, blockchain explorers, or smart contracts. Familiarity with one or more blockchain technology models, such as EVM, UTXO, or Move. Experience with large-scale data processing, stream processing, databases, messaging systems, caching, or search systems. Experience in fintech, risk control, security, e-commerce, advertising, recommendation systems, or other complex internet businesses. Proven examples of using AI tools to solve real problems and turning solutions into engineered or scalable capabilities. Ability to work in English, or experience building global and multi-region systems. Demonstrated technical judgment, business impact, or zero-to-one ownership in previous projects. The Kind of Candidate We Hope to Meet You can clearly explain the most complex problem you have solved, how you formed your judgment, and how you drove the solution to completion. You have one or more clear strengths. We do not expect experience in every area, but we value meaningful depth or exceptional potential in at least one direction. You are willing to understand users and business context instead of passively receiving requirements. You are open to unfamiliar domains and can use AI and team collaboration to close knowledge gaps quickly. You remain constructive in changing or uncertain environments and can keep moving work forward. Why Join Us Build core onchain data infrastructure for OKX Web3, directly supporting global users and multiple strategic businesses. Work deeply with diverse blockchain technologies, onchain data systems, and real-world Web3 use cases. Solve challenging engineering problems involving large-scale data, real-time computation, high availability, and global deployment. Explore the intersection of AI and Onchain Data, applying frontier technologies to data, risk control, products, and engineering workflows. Own meaningful problem spaces with the autonomy to identify issues, make judgments, and drive outcomes end to end. Access career opportunities across Mainland China, Hong Kong SAR, and Singapore. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote (Central & South America) 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: Worker Operations is the team that owns end-to-end operations and support for the supply-side (the workers) of our marketplace. We are over 200 team members who serve the 400,000+ (and growing) active professionals on our marketplace. As a Worker Operations Team Lead your primary role is to be an exceptional coach for your team. Your responsibility is to provide agents with constructive feedback, identify the root causes of performance issues, and train them to address and correct those problems. You maintain high standards for your team and aren’t afraid to say, “This needs improvement, and here’s why.” You ensure that the customer experience remains the focal point of every discussion, set SMART goals for performance improvement, and deliver feedback that aligns with our standards. You’re also hands-on, willing to dive into customer issues directly, and you become a product expert so that you can coach your agents effectively. This is a fully remote position. Team members are expected to maintain working hours that overlap with Pacific Time (PT) and be available to work weekend shifts as needed. Day-to-Day Responsibilities: - Closely monitoring agent performance, primarily in terms of quality, productivity, and attendance metrics, with a primary goal of maintaining quality assurance scores above 90% - Providing frequent coaching to agents based QA feedback, metrics, customer survey responses, and your own ticket observations - Occasionally handling angry customer escalations - Ensure schedule adherence by agents and desired productivity levels - Maintaining coaching logs and providing regular written feedback to agents - Comfortably navigate our support environment, which includes tools such as Zendesk, Metabase, and Amazon Connect - Listen to team members’ feedback and resolve any challenges or conflicts - Initiate consequence management steps in the case of low-performing team members - Delegate tasks to high potential team members to build a culture of learning and development in the team - Suggest and lead team building activities for team motivation EXPERIENCE - 2+ years of coaching experience – Demonstrated success coaching individuals through structured feedback, development planning, and performance improvement. - 2+ years of people management experience – Experience leading customer support teams, driving performance, engagement, and accountability. - 2+ years of customer support experience – Strong foundation in delivering exceptional customer service and resolving complex customer issues. WHAT SUCCESS LOOKS LIKE IN WORKER OPERATIONS - Customer obsessed – Puts workers at the centre of every decision and consistently delivers a world-class experience. - Data-driven problem solver – Uses data, trends, and root cause analysis to identify issues and deliver sustainable improvements. - Thrives in ambiguity – Adapts quickly to changing priorities, products, and processes while maintaining high performance. - Communicates with clarity – Shares information proactively, aligns stakeholders, and provides clear, actionable feedback. - Bias for action – Takes ownership, moves with urgency, and focuses on delivering outcomes over perfection. - Continuously learns – Quickly develops expertise in new tools, products, and processes, applying that knowledge to improve both personal and team performance. - Raises the talent bar – Invests in coaching, challenges others to improve, and builds a culture of accountability and excellence. - Resilient under pressure – Maintains sound judgement and consistent execution during periods of high volume, incidents, and operational change. System Requirements - Minimum 15Mbps wired internet connection - Minimum i5 processor or equivalent - Minimum 12GB Ram - Quiet working environment - Steady power and internet connection HIRING PROCESS - Application Review - Case Study - First Round Interview/Case Discussion - Interview with Head of Worker Support 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.

Требования: — Опыт работы в области финансовых технологий, желательно в области инвестиций / трейдинге, а также понимание специфики пользовательских сценариев в этих продуктах; — Опыт работы над мобильными приложениями в продуктовой команде от 3-х лет, понимание Agile методологий; — Экспертное владение Figma; — Умение работать с типографикой; — Понимание композиции и колористики; — Знание базовых юзабилити принципов и актуальных паттернов в web- и mobile; — Понимание отличий User Journey Map от User Flow и умение работать с этими и подобными инструментами; — Умение проектировать сложные интерфейсы и работать с большим количеством информации; — Опыт проведения Design Review как на эмуляторе, так и на физических устройствах; — Опыт работы с продуктовыми метриками, знание что такое Net Promoter Score, System Usability Scale, Customer Satisfaction Index и прочие; — Умение строить и проверять продуктовые гипотезы; — Знание Design Thinking и понимание метода; — Опыт и/или знания в построении CJM или Service Blueprint; — Умение отличать одно от другого; — Опыт в проведении удалённых тестов через Oprosso, Fabuza, Validately будет плюсом; — Наличие развернутого портфолио - обязательно. Задачи: — Участие в создании продуктовых интерфейсов (веб, high-load) и умение упрощать сложные сценарии без потери функциональности; — Самостоятельное ведение фич end-to-end: от формулирования проблемы и гипотез до запуска и последующего улучшения на основе данных; — Использование продуктовых и сервис-дизайн фреймворков (CJM, Blueprint, JTBD и др.); — Проведение исследований (качественных и количественных); — Работа с дизайн-системами на уровне системы. Условия: — Аккредитованная ИТ компания; — Оформление по ТК РФ; — Удаленный формат работы; — ДМС после успешного прохождения испытательного срока; — Корпоративный английский; — Корпоративная библиотека на Лит.рес; — Предоставляем необходимое оборудование для работы; — 5 дополнительных оплачиваемых дней к больничному.

Ищем Data Scientist / ML Engineer для запуска кредитного скоринга на международных рынках. Предстоит адаптировать модели и scoring pipeline к новым странам, оценивать качество и обрабатывать разнородные данные — от финансовой отчётности и документов до внешних и альтернативных источников.

Location: Vilnius Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Serbia Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Romania Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.