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Location: Dhahran, Saudi Arabia Eram Talent is looking for an experienced MDM (Master Data Management) Product Specialist to join our innovative team. In this role, you will be responsible for managing and enhancing our Master Data Management solutions, ensuring that our data quality and governance meet the needs of our clients. As a key member of our team, you will work closely with cross-functional departments, including IT, data governance, and business analytics, to support and drive data management initiatives. The ideal candidate will have a deep understanding of data management principles, strong analytical skills, and experience with MDM tools and technologies. You will serve as a trusted advisor to stakeholders, offering insights and guidance on best practices in data management to support business operations and decision-making. SCOPE: The role holder is responsible for supporting the product manager in driving successful Technology product development, executing projects efficiently, and maintaining effective communication and coordination among team members and stakeholders. • Support the Product Manager in defining product roadmaps, prioritizing features, and overseeing product development processes. • Assist in developing project plans, timelines, and resource allocation under the guidance of the product manager. • Execute assigned tasks and activities within the project, ensuring adherence to project schedules and milestones. • Assist in identifying project risks and contribute to the development of mitigation strategies. • Support the product manager in communicating project progress and updates to stakeholders and senior management. • Support product teams in their product decisions using quantitative data to inform the next steps. • Utilize performance metrics to evaluate if product development is satisfactory and aligned with development plans. • Conduct desktop research to monitor competitor activities, as well as any price movements and make recommendations that will be used in key decision making. Requirements Bachelor's degree in computer science, Information Systems, or a related field Certified Data Privacy Solutions Engineer (CDPSE) Preferred. Minimum of 7 years of experience in Master Data Management or data governance Proficient knowledge of MDM tools and cybersecurity technologies (e.g., Informatica, SAP MDG, etc.) Strong analytical and problem-solving skills Experience with data modelling and metadata management Knowledge of data quality management practices Excellent communication skills, with the ability to convey complex information clearly Ability to work collaboratively with cross-functional teams and stakeholders

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems. WHAT YOU'LL DO To facilitate the development of these systems, you will: - Develop and deliver subject-matter expertise to support AI research - Work closely with our engineering, product, and design teams to define and develop AI systems - Build and improve AI systems through prompt engineering, fine tuning, and other techniques - Build proprietary benchmarks and datasets to evaluate models and model systems - Partner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutions WHAT YOU HAVE - JD from a top US law school or equivalent post-graduate qualification - 3-7 years of experience at a US law firm, financial institution, or equivalent professional service provider - For NYC applicants: experience working in-house or at a financial institution - Demonstrated ability to deliver high quality work product on demanding deadlines - Ability to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between them - Ability to define positive outcomes in situations with underspecified success criteria - Deep intellectual curiosity and eagerness to learn across domains - Willingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate work COMPENSATION RANGE $220,000 - $320,000 USD Total Target Cash, offers Equity DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for a legal researcher with a strong understanding of how law firms, financial institutions, large corporations, and other organizations deliver professional services and execute complex legal and knowledge work tasks. We have incredible product-market fit and demand across diverse customer profiles. Executing on this demand requires a strong understanding of our customers' workflows and how those workflows can be accelerated by AI systems. WHAT YOU'LL DO To facilitate the development of these systems, you will: - Develop and deliver subject-matter expertise to support AI research - Work closely with our engineering, product, and design teams to define and develop AI systems - Build and improve AI systems through prompt engineering, fine tuning, and other techniques - Build proprietary benchmarks and datasets to evaluate models and model systems - Partner directly with clients to understand their workflows, identify pain points, and translate complex business and legal requirements into technical solutions WHAT YOU HAVE - JD from a top US law school or equivalent post-graduate qualification - 3-7 years of experience at a US law firm, financial institution, or equivalent professional service provider - For NYC applicants: experience working in-house or at a financial institution - Demonstrated ability to deliver high quality work product on demanding deadlines - Ability to effectively communicate with a variety internal and external stakeholders and translate complex problems effectively between them - Ability to define positive outcomes in situations with underspecified success criteria - Deep intellectual curiosity and eagerness to learn across domains - Willingness and desire to do work in the trenches - e.g., grading hundreds of answers, breaking down thousands of documents - getting the models to do junior associate work requires a lot of things that look like junior associate work COMPENSATION RANGE $220,000 - $320,000 USD Total Target Cash, offers Equity DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research. What you’ll own Data strategy and delivery Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates. Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions. Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act. People and organization Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows. Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence. Analytics engineering and the data platform Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads. Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform. Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision. Product analytics and experimentation Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation. Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release. Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision. Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small. Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again. Metrics, self-service, and AI-assisted analytics Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently. Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request. Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation. Data culture and industry research Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities. Lead original research for the Workato Automation Index and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use. Requirements What you bring 10+ years in analytics, data science, or a related quantitative field , including experience leading senior practitioners, developing managers, and scaling teams. Data engineering and modeling expertise. You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt. Data cataloging and governance experience. You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable. B2B product and analytical judgment. You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward. Cross-functional leadership. You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives. Practical AI fluency. You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus. What success looks like Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change. Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries. Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs. Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving. (REQ ID: 2538)

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🤘 HOW WE DO IT ? People joining Alan are always surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us - We're obsessed with helping members live healthier - Mission is the Boss: long-term thinking, mission above all else - Member & customer-led: obsessed with solving problems and delighting users 🏆 How we build excellence - We hire the best and empower them to succeed - Champions of excellence: extremely high standards and talent density - Distributed ownership: everyone owns their decisions and results - Radically transparent: all information accessible, written-first, async decisions 🤝 How we grow together - We improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care - Empathetic challengers: direct, caring feedback to help each other grow - Bold contrarians: think differently, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters - Disciplined execution: decisive action with compounding focus - Fight for simplicity: high-impact processes, smart frugality ⭐ THE PRODUCT PLATFORM AREA 🎯 MISSION We enable product crews to move faster by providing reliable, reusable, and simple internal services. We encapsulate complexity, expose clear interfaces, and build mature, long-term building blocks. 🔭 SCOPE Our focus is on building reusable internal capabilities that power multiple product flows: - Core Services: APIs & systems like Payment, Messaging, Document Processing, Pricing Engine - Shared Platforms: Centralized services (e.g. AI Platform) with strong adoption across areas. - Operational Tooling: Dashboards and automation that support reliability, observability, and scalability. - Foundational User Experience - Ensure quality and consistency of the UX through shared layout systems, navigation, reusable UI components Our role is to empower product teams, reducing their cognitive load. ⚡ IMPACT - Your work will be used daily by hundreds of product builders across Alan. - You’ll shape reusable building blocks that make it faster and safer to launch products across multiple countries. - By improving adoption of our services, you’ll directly improve product velocity, consistency, and member experience. ⚡ WHY THIS ROLE IS SPECIAL - High Leverage: Your work is multiplied across the entire company — adoption & reliability is our main KPIs. - Complex Problems: Multi-country services, abstraction design, and adoption challenges. - Platform Mindset: You’ll build services like a product, with product teams as your customers. - Ownership: You’ll influence product direction, mentor engineers, and shape Alan’s internal platform for years to come. You’ll work closely with product crews across all Alan areas, as well as with our Architecture Group and Tech Foundation Area, making sure our systems scale globally and align with long-term technical strategy 🛠️ THE STACK Python/Flask, React, PostgreSQL in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🔍 WHAT WE’RE LOOKING FOR Experience we value - 3+ years in backend, platform, or infrastructure-oriented engineering roles - Experience designing and maintaining internal services, APIs, or SDKs - You love turning complex problems into elegant solutions - You care about the "why" behind what you build, not just the "how" MINDSET WE VALUE - You think in terms of platform as a product: other engineers are your customers - You simplify complexity with clear abstractions and long-term ownership - You are collaborative, humble, and motivated by enabling others - You leverage AI to redefine our roles and unlock scalability - Healthcare technology excites you - You are fluent in English (no French required) 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area,, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are looking for an Product Manager, New Verticals to define, build, and scale AI agent–powered solutions for Harvey’s most strategic customers – enabling successful deployments and uncovering new solutions to unlock new opportunities for Harvey. This role sits at the intersection of deep customer discovery, sales, complex workflow mapping, AI/LLM capabilities, and hands-on delivery. You will work closely with key accounts to understand their highest-value use cases end to end, translate those into agent-powered solutions (out-of-the-box or net-new), and partner with engineering, research, and leadership to bring them to life. You’ll be responsible to drive repeatability—turning bespoke deployments into scalable products, pricing models, and commercial frameworks for entire verticals. WHAT YOU'LL DO - Partner directly with strategic accounts to uncover high-impact workflows and translate ambiguous requirements into clear, actionable product definitions for agent-powered solutions. - Lead discovery for your assigned accounts and verticals, developing a deep understanding of user intentions, data constraints, workflows, and success criteria. - Map workflows to the broader product, identifying where out-of-the-box agent capabilities fit and where custom development is needed. - Drive deployments end to end—working with forward deployed engineering and customer teams to implement, test, and refine agent solutions. - Define and track success metrics for the verticals you support, ensuring solutions deliver measurable productivity and quality outcomes. - Develop account-level and vertical-level roadmaps, translating customer needs into scalable products or reusable frameworks. - Collaborate cross-functionally with founders, executives, engineering, and legal research to align product direction and ensure technical feasibility. - Influence new commercial models, including pricing, packaging, and deployment strategies for agent-led solutions. - Champion repeatability, helping transform one-off solutions into product features, components, or templates that scale across the customer base. WHAT YOU HAVE - 8+ years of work experience - Background in professional services (legal, consulting, banking, or adjacent fields) with experience operating in complex, high-stakes workflows. - 3+ years of product management experience or closely related roles (e.g., solutions, forward deployed engineering, product consulting). - Experience working in B2B or enterprise environments, ideally with AI, automation, or workflow tooling. - Demonstrated ability to ship and iterate on enterprise-grade software or high-complexity solutions. - Executive presence and a customer obsession mindset - Strong strategic thinking paired with detail orientation—able to zoom out to vertical-level needs while handling precise workflow nuances. - Ability to communicate both qualitatively and quantitatively; strong command of structuring ambiguous problem spaces. - Comfort navigating extreme ambiguity, defining structure from zero, and driving clarity for cross-functional teams. - A scrappy, ownership mentality—willing to jump on flights, run QA, troubleshoot with engineering, or support customer teams when needed. BONUS POINTS - Experience building or deploying AI agents, workflow automation tools, or retrieval-augmented systems. - Experience as a forward deployed engineer, solutions architect, or consultant with strong product instincts. - Prior role in a hyper-growth startup or high-performing enterprise product org. COMPENSATION RANGE $215,000 - $300,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CL1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We are seeking an experienced Senior+ Product Manager to lead the evolution of TradingView. You will define and drive the product strategy, vision, and roadmap. In this role, you will guide the development of features that enhance our platform's capabilities and drive growth, ensuring we maintain our position as the global leader in financial market technology. Responsibilities Develop and implement product strategy aligned with TradingView's growth objectives Define and own the product vision and multi-year roadmap Drive user acquisition, engagement, and retention metrics Lead product discovery to identify user needs and market opportunities Define and track key product metrics to measure success Prioritise feature development based on user needs, business impact, and technical feasibility Collaborate with engineering, design, QA, and cross-functional teams to ensure quality implementation Validate product hypotheses through A/B testing, experimentation, and user research Analyse user feedback and behavioural data to identify improvement opportunities Stay current with financial technology trends, competitive landscape, and platform advancements Manage stakeholder relationships and communicate product progress effectively What makes you the perfect fit 5-7+ years of product management experience with customer-facing products Proven track record of leading successful products at scale Strong analytical skills with demonstrated data-driven decision making Excellent cross-functional leadership and stakeholder management abilities Expertise in product management methodologies and best practices Strong communication and collaboration skills across distributed teams Good understanding of financial markets or a strong willingness to learn quickly Strong UX/UI sensibility and experience working closely with design teams What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

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: As a Research Product Manager for the Labs teams at Anthropic, you will own the ideation and development of new, moonshot products as we advance transformative, safe AI. The Labs team runs Anthropic's most ambitious experiments: new product categories that don't exist yet. The team focuses on 0-to-1 product development, taking our most advanced research and transforming it into innovative applications like Claude Code and MCP. We seek experienced founders and product managers who can bridge pure research and ambitious product experimentation, with the ability to identify and ultimately define entirely new product categories enabled by AI. Responsibilities: Work with researchers to understand what's emerging and what it means for users Identify nascent research capabilities that could become transformative products Build prototypes yourself to validate ideas before committing resources Lead 0-to-1 product development from research to internal prototypes to shipped products Define product strategy for experimental initiatives that push beyond our current offerings Creatively build MVPs and prototypes to validate product-market fit with the lowest cost possible Lead vision, strategy, roadmap, and execution of frontier technologies that leverage the latest AI capabilities to solve real-world problems Minimum Qualifications You might be a good fit if you: Possess a deep technical background with experience working cross-functionally with engineering teams to ship technical products. Have the ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions Have a track record of launching ambitious products that have found distribution or commercial success Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks Stay up-to-date and hands-on with emerging research and industry trends Prototype with AI tools like Claude Code Preferred Qualifications Have 5+ years in product management, with experience launching new products and scaling existing products. Founder background is a plus. 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: $385,000 — $460,000 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: Berlin, Germany; Baku; Canada Workplace: remote ABOUT YOU   We are looking for a Product Manager to own and develop the Quest Platform — a major company initiative that consolidates all quest-related functionality in one place and integrates it across all Xsolla products. This includes quests within products such as Web Shop, Xsolla Player, and Cloud Gaming. You will work closely with Engineering, Design, Marketing, and cross-product teams to create engaging quest experiences, drive user engagement, and ensure seamless integration across all Xsolla products.     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Own the product vision, roadmap, and execution for the Quest Platform Create and manage new quests within the platform, acting as its primary advocate Oversee quest UI implementation Define and track key product metrics (engagement, completion rates, retention impact) Translate business and user needs into clear product requirements Collaborate cross-functionally to ensure smooth integration with Web Shop, Xsolla Player, Cloud Gaming, and future products Continuously optimize quest experiences based on data and user feedback Qualifications & Skills: Experience as a Product Manager working on engagement, gamification, or loyalty products Strong understanding of gaming ecosystems (mobile, PC, console) Ability to work with cross-functional teams and manage complex dependencies Data-driven mindset with experience defining and tracking product KPIs Nice to Have: Engineering background Background in mobile gaming or game studios Experience with loyalty programs, gamification, or rewards systems Experience building platform products that integrate across multiple services Benefits   We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off, Gym membership, monthly train ticket and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.   Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.   For any inquiries related to data privacy, please contact: careers@xsolla.com   Explore more opportunities at: https://xsolla.com/careers

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: As a Senior Product Counsel, you'll enable Vercel's product innovation and shipping velocity. You'll partner with Engineering, Product, and Design (EPD), Security, and other cross-functional teams to provide legal support throughout the product development lifecycle, and you'll build the processes and programs that let the Legal team scale. This is a senior individual contributor role focused on product counseling, with occasional support for commercial transactions. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What You'll Do: Partner with EPD teams on new product initiatives, balancing speed with responsible risk management and customer trust Identify and resolve issues across privacy, data security, AI, platform safety, marketing, competition, and intellectual property Translate evolving laws and market expectations into practical, actionable guidance Build scalable processes and templates that help Vercel ship faster over time Support sales, partnerships, procurement, and M&A on transactions where product knowledge is critical About You: 8+ years of legal experience, including 4+ years of product counseling at a software company Admitted to the California Bar, or eligible for the Registered In-House Counsel exception, and in good standing Counseled product and engineering teams from conception through launch on legal and regulatory issues Working knowledge of cloud services, SaaS/PaaS/IaaS business practices, and the global regulations that apply to them Independently negotiated technology agreements with customers, partners, and vendors Built or improved legal processes at a high-growth company Bonus If You Have: Have a computer science degree or a background in web software engineering Have worked on open source or platform safety matters Have used Vercel's products Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $270,000-$300,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Lagos, Nigeria Product Strategy & Ownership Own the end-to-end strategy for Renmoney’s savings products, including: Everyday savings accounts Fixed or term deposits Structured and goal-based savings products Future diaspora savings offerings Translate Renmoney’s 2025–2027 long-term business strategy into a clear product roadmap for savings. Ensure savings products support: Deposit growth Lower funding costs Healthy balance between short-term and long-term funds Define product value propositions for different customer groups such as individual retail customers, small and medium-sized businesses, and Nigerians in the diaspora. Balance Sheet & Commercial Performance Work closely with the Finance and Treasury teams to: Improve the mix between on-demand savings (money customers can withdraw anytime) and fixed deposits (money locked for a specific period) Reduce the Cost of Funds (COF), which means how much the bank pays customers for deposits Model how pricing, interest rates, and savings tenors affect profitability and liquidity Own key savings performance metrics, including: Total deposits and monthly net inflows Average balance per customer Cost of Funds (interest paid on deposits) Customer retention and churn (how many customers stay or leave) Execution & Delivery Lead cross-functional execution with: Engineering (software development) Design (user experience and interface) Risk Management Compliance (regulatory adherence) Operations and Customer Support Marketing and Growth teams Write Product Requirement Documents (PRDs) that clearly describe what is being built and why. Prioritize features and initiatives based on customer value, risk, effort, and business impact. Ensure savings features are reliable, scalable, compliant with regulations, and easy for customers to use. Governance, Risk & Compliance Represent savings products in the Product Governance Council (PGC), which is the internal committee that reviews, approves, and governs all product changes. Participate in Asset and Liability Committee (ALCO) sessions, where senior leaders manage: Liquidity (availability of cash) Interest rate risk Funding strategy Ensure savings products comply with: Central Bank of Nigeria (CBN) regulations Nigeria Data Protection Regulation (NDPR), which governs customer data privacy Internal audit, risk, and control frameworks Proactively identify risks, trade-offs, and dependencies before they become issues. Customer Experience & Growth Improve savings adoption through: Simple and clear onboarding Smooth funding and withdrawal experiences Transparent communication of interest, penalties, and terms Use savings as a foundation to cross-sell other products such as loans and payments. Work with the Analytics team to understand customer behavior and lifetime value. Requirements 6–10+ years of Product Management experience Direct experience with banking, savings, or deposit products Experience working in regulated financial institutions such as banks, microfinance banks, or fintechs Proven ability to own products that impact revenue and the balance sheet Experience working closely with Finance, Risk, and Compliance teams Skills & Competencies Strong understanding of financial concepts such as interest rates, liquidity, and funding costs Data-driven decision-making combined with sound professional judgment Ability to operate at both strategic and execution levels Strong written and verbal communication skills, including with executive leadership High sense of ownership and accountability Success Metrics (First 12–18 Months) Consistent growth in customer deposits Improved funding efficiency through a better deposit mix Strong adoption and retention of savings products On-time delivery of roadmap initiatives that meet regulatory and audit requirements Clear, trusted product leadership in executive and governance forums Nice-to-Have Experience with diaspora banking or international savings products Exposure to senior financial decision-making forums such as ALCO Experience in fast-growing fintech or digital banking environments Familiarity with analytics, experimentation, and customer insight tools Key Stakeholders Head of Product Finance and Treasury teams Risk Management and Compliance teams Engineering and Design teams Marketing and Growth teams Executive Management, including: Chief Executive Officer (CEO) Deputy Chief Executive Officer Asset and Liability Committee (ALCO) Product Governance Council (PGC) Benefits Why Join Renmoney Opportunity to shape the savings foundation of a modern Nigerian digital bank High visibility and direct impact on business performance Strong governance, leadership support, and product culture A role that combines product leadership, financial performance, and customer impact

Location: Lagos, Nigeria Product Strategy & Ownership Own the end-to-end product strategy for all bill payment and transfer products, including: Airtime and mobile data purchases Utility bill payments (electricity, cable television, internet, etc.) Bank-to-bank transfers Translate Renmoney’s long-term digital banking strategy into a clear roadmap for payments. Define how payments support: Daily customer engagement Deposit inflows and account usage Cross-sell into savings and lending products Define value propositions for different customer segments, including retail customers and small business users. Payments Performance & Commercial Outcomes Own key performance indicators for payments, including: Transaction volumes and values Success and failure rates Revenue from fees or commissions Cost per transaction Work closely with Finance to: Optimize transaction pricing and incentives Manage partner costs and margins Track the impact of payments on deposit balances Identify opportunities to improve unit economics without degrading customer experience. Execution & Delivery Lead cross-functional delivery with: Engineering teams building mobile, web, and backend systems Design teams responsible for user experience Operations and Customer Support teams handling exceptions and disputes Write clear Product Requirement Documents , which describe what is being built, why it matters, and how success will be measured. Prioritize initiatives based on customer impact, reliability, compliance, effort, and business value. Ensure payment and transfer flows are fast, intuitive, and resilient, even during peak usage periods. Reliability, Risk & Compliance Ensure payments products meet regulatory and operational requirements, including: Rules set by the Central Bank of Nigeria , which regulates banking and payment services Requirements from the Nigeria Inter-Bank Settlement System , which operates national payment infrastructure Data privacy rules under the Nigeria Data Protection Regulation Partner with Risk and Compliance teams to manage: Fraud risks Transaction disputes and reversals Customer protection and error handling Represent payments initiatives in the Product Governance Council , which approves and oversees all product changes. Partner & Ecosystem Management Own product relationships with external partners such as: Payment processors Utility service providers Telecommunications companies Define service-level expectations, which set standards for uptime, response times, and issue resolution. Work with Legal, Procurement, and Operations to ensure partner integrations are scalable and compliant. Customer Experience & Growth Improve adoption and repeat usage of bill payments and transfers through: Simple onboarding and clear user flows Transparent pricing and confirmations Fast issue resolution when transactions fail Use payments as a driver of daily engagement that increases: Account funding Customer lifetime value Work with Analytics teams to understand usage patterns and identify growth opportunities. Requirements 6–10+ years of Product Management experience Direct experience with payments, transfers, or transaction-heavy digital products Experience working in regulated financial or fintech environments Proven track record of delivering reliable, high-volume systems Experience collaborating with Finance, Risk, Compliance, and Operations teams Skills & Competencies Strong understanding of payment flows and transaction lifecycles Ability to balance speed, reliability, risk, and cost Data-driven decision-making with strong execution discipline Clear communicator, comfortable engaging senior leadership High ownership mindset and attention to detail Nice-to-Have Experience with large-scale payment platforms or utility integrations Exposure to fraud prevention or dispute management systems Experience in high-growth fintech or digital banking environments Familiarity with analytics and monitoring tools for transaction performance Key Stakeholders Head of Product Engineering and Design teams Operations and Customer Support Finance and Treasury teams Risk Management and Compliance teams Executive Management, including: Chief Executive Officer Deputy Chief Executive Officer Product Governance Council Success Metrics (First 12–18 Months) High and improving transaction success rates Growth in payment transaction volumes and active users Reduced transaction failure rates and customer complaints Strong partner reliability and service performance Clear contribution of payments to customer engagement and deposits Benefits Opportunity to build products customers use every day High-impact role at the heart of Renmoney’s digital banking strategy Strong executive visibility and ownership A chance to shape reliable, scalable payment infrastructure in Nigeria

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka , etc. Expert in real-time big data processing using Flink , with solid experience in Flink SQL development . Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy . Independently manage end-to-end business requirements , responsible for the R&D design and construction of the online (customer-facing) product data pipeline , including performance optimization , and empower business growth through data products and services . Requirements: Bachelor’s degree or higher from an accredited university in Computer Science or a related field. 3+ years of experience independently handling end-to-end business requirements , with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge. Proficiency in both English and Chinese (listening, speaking, reading, and writing) . Familiar with data warehouse modeling , with successful experience in designing and refactoring large-scale data warehouses . Mastery of multiple big data architectures, especially Alibaba Cloud DataWorks/MaxCompute , AWS Spark , Databricks , and StarRocks/Doris . In-depth understanding of real-time processing, expert in Flink performance tuning and stress testing , and Flink source code reading experience is preferred. Preferred Qualifications: IELTS score of 7 or above in all four components. 3+ years of work experience in English-speaking regions. Experience in cross border e-commerce , and familiarity with multi-country, multi-language architectural design is a plus. Solid foundation in Java , with backend development experience . 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 / San Francisco / New York / Salt Lake City The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. This role focuses on product marketing, positioning, messaging, and activation, with a strong emphasis on copywriting. You’ll work across projects from concept through launch and execute directly. As a small, fast-growing team, this role offers room to grow laterally and help shape the marketing function at Databento. Responsibilities Write and review landing pages, activation flows, and sales copy to drive engagement and conversion. Drive product marketing initiatives, including positioning, messaging, and launch campaigns. Plan and execute content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification). Collaborate with product, sales, and growth teams on experiments, campaigns, and activation strategies. Track and measure performance using analytics, dashboards, and CRM tools. Support cross-functional initiatives to optimize user acquisition, engagement, and conversion. Requirements Bachelor's degree. At least 4 years of experience in marketing or communications, with a strong emphasis on copywriting, content strategy, or brand messaging. Writing samples across mediums, such as product and UX copy, landing pages, blog articles, SEO content, or social media. Experience marketing to technical audiences (engineers, finance professionals, scientists). Experience supporting product launches, sales copy, experiments, activation flows, or conversion optimization. Experience creating content and social distribution (blogs, LinkedIn, X/Twitter, founder amplification). Familiarity with marketing ops and analytics (CRM, dashboards, funnel tracking). Familiarity with marketing design tools (e.g., Canva, Figma). We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $100,000–$185,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE Feature Flags are a set of APIs and UI that enable B2B developers to safely roll out, control, and experiment with features across environments, customers, and regions. Our goal is to build the best possible developer and end-user experiences so customers can ship confidently, reduce risk, and accelerate their enterprise journey. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We’re searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. RESPONSIBILITIES - Design and engineer delightful developer and end-user experiences - Build a deep understanding of Feature Flags’ place in the market and increase its adoption - Accrete developer trust by serving a highly available and secure product - Speak with customers regularly to get feedback, debug issues, and remove points of friction - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members QUALIFICATIONS - 5+ years of industry software development experience - Experience working on small teams in fast-paced environments - Background in crafting both polished UI/UX and API services end-to-end - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience working on a feature flags platform or product - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Linz, Austria Workplace: hybrid TeamViewer is a leading Digital Workplace platform that connects people with technology - helping organizations enable, improve, and automate digital processes so work works better. Our solutions combine connectivity, data, automation, and AI to shape the future of digital work for millions of users around the world. We are looking for a technically strong and product-minded Product Manager to join our AI Product Team and shape how TeamViewer connects with partner systems, data sources, AI frameworks, and agentic ecosystems. In this role, you will define and drive a cross-product integration roadmap that helps customers, partners, and internal teams unlock more value from TeamViewer products. You will work at the intersection of AI, APIs, data, enterprise software, and partnerships - turning technical possibilities into scalable product capabilities with real customer impact. Responsibilities Own the integration strategy and roadmap: Define where and how TeamViewer should integrate with third-party systems across the product portfolio, balancing customer value, partner opportunity, technical feasibility, and long-term platform scalability. Build impactful partner and data integrations: Identify, prioritize, and deliver integrations that connect TeamViewer with partner and customer systems to extract, contribute, synchronize, and operationalize data in secure, reliable, and enterprise-ready ways. Shape our agentic AI ecosystem: Help define TeamViewer’s approach to AI interoperability, including integrations with AI frameworks, model and tool ecosystems, Model Context Protocol (MCP), Agent-to-Agent (A2A) patterns, and emerging standards for agent-to-tool and agent-to-agent communication. Turn complex needs into clear product requirements: Translate partner, customer, and internal use cases into crisp product requirements, API contracts, integration specifications, acceptance criteria, and technical trade-offs that engineering teams can execute with confidence. Drive partnerships from idea to adoption: Collaborate with Business Development, Partnerships, Engineering, Security, Legal, Sales, Customer Success, and external partners to evaluate opportunities, align joint roadmaps, remove blockers, and bring integrations successfully to market. Create reusable platform capabilities: Scale integration work beyond individual projects by driving reusable connectors, documentation, enablement materials, observability, success metrics, and self-service patterns that can be adopted across TeamViewer products. Requirements Several years of experience in technical product management, platform product management, API products, enterprise integrations, developer ecosystems, AI products, or comparable B2B SaaS roles. Strong technical fluency in APIs, data exchange patterns, webhooks, authentication and authorization concepts, integration middleware, cloud platforms, and enterprise-grade reliability, scalability, privacy, and security expectations. Proven ability to define and deliver third-party integrations, excellent partner management skills, connector platforms, partner-facing APIs, or data-intensive products that connect multiple systems and workflows. Curiosity and practical experience with AI and GenAI ecosystems, including LLM application patterns, tool calling, retrieval-augmented generation, AI framework integrations, agentic workflows, MCP, A2A, or comparable interoperability standards. Comfort working closely with engineering teams on architecture, feasibility, technical dependencies, release planning, quality, observability, and operational readiness. A customer- and metrics-oriented mindset, using discovery, market analysis, usage data, and business impact to prioritize integration opportunities and measure success. Clear written and verbal communication skills in English; German is a plus. A technical degree in Computer Science, Engineering, Data Science, AI, or equivalent practical experience is preferred. What we offer An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, standard level with classification ST1/rule) 28 days of well-deserved holidays Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and regular salary reviews Public transport friendly office Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular Team events and company-wide celebrations Open door policy, no dress code rules, frequent All Hands and Leadership Lunches Hybrid and Flexible work time with up to 50% home office Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.

Location: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor - Help engineers and designers deeply understand user needs, empowering them to make great product decisions - Craft messaging around upcoming features that resonates with users - Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for - 6+ years experience in the software industry - Previous experience in engineering and/or design roles - Exceptional product and operational judgement - World-class design & product taste - Shameless curiosity, a propensity to question things deeply - Extreme speed and clarity What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $204,000—$252,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.