Top Product Manager Jobs in Ankara

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Lead RevenueCat’s technology partner ecosystem strategy, prioritizing integrations and strategic relationships based on customer demand, commercial value, and effort. Develop partnerships end-to-end, create creative go-to-market motions, support integration prioritization, measure ecosystem impact, and establish scalable models for inbound partner requests and lower-touch integrations. Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Customer Success in a high-ownership remote startup environment.

Own Bureau’s credit product line, including credit signals, risk scores, decisioning tools, and lifecycle capabilities. Build products for onboarding, underwriting, limits, early warnings, and collections; partner with data science to productionize models; engage lenders to identify needs; and track approval, delinquency, and fraud outcomes. Collaborate with sales and compliance while ensuring alignment with RBI and data protection requirements.

Develop positioning, messaging, sales enablement, competitive intelligence, customer evidence, campaigns, launches, and thought leadership for Neo4j GraphAware industry solutions. The initial focus is financial crime intelligence for financial institutions. The role researches markets and buyers, translates complex technology into customer value, supports enterprise sales, and collaborates across Product, Sales, Content, Demand Generation, and Regional Marketing.

Own Uzbek Cyrillic language quality for UI, marketing, product, legal, informational, and support content. Serve as the primary client-facing linguistic expert, interpret style guides and quality frameworks, manage arbitrations and escalations, coach reviewers, facilitate alignment sessions, track quality trends, and convert recurring issues into style guide improvements. The role is remote freelance work of approximately 24 hours per month for candidates in approved countries.

Translate and copy-edit English content into German for Germany and/or Switzerland across marketing, UI, product, support, informational, and light legal materials. Manage 5,000+ words weekly using CAT tools, meet deadlines, maintain high quality and consistency, communicate reliably, and incorporate feedback and revisions in a remote freelance localization environment.

Own the direction and execution of AI products across RemotePass’s payroll, compliance, payments, and operations platform. Identify high-value automation opportunities, determine appropriate human oversight, translate customer problems into product decisions, and balance speed, accuracy, and trust. Partner closely with engineering, executives, and operators to define strategy, write specifications, run experiments, ship features, and scale successful AI capabilities from early concepts into production.

Own the company’s brand and visual communication across its website, curriculum, email, paid social, events, and student-facing product surfaces. Design and build marketing pages in Webflow, Framer, or code; create lifecycle email and ad systems; explain complex educational programs visually; and establish a scalable design language. This hands-on role requires strong visual design, web-building, performance awareness, writing, and the ability to ship independently.

Own data science for customer-facing product features, including LTV prediction, experimentation, benchmarking, and forecasting. Proactively analyze data to identify customer problems and product opportunities, build and deploy production-grade models, and influence product roadmaps. Partner with Product, Engineering, and Analytics, communicate findings to varied audiences, iterate on shipped features, and lead new data-driven initiatives.

Lead independent product analytics investigations across acquisition, activation, usage, customer experience, and the broader customer journey. Apply statistical analysis, causal inference, experimentation, and data science modeling to uncover product issues, opportunities, churn drivers, and growth insights. Analyze structured, unstructured, and AI-specific data; size opportunities; measure engineering productivity; and translate findings into actionable recommendations for Product, Engineering, Growth, commercial teams, and executives.

Own the strategy and roadmap for Finance and Account Management products, including payments, billing, invoicing, reconciliation, account lifecycle, verification, fraud, and risk. Lead two engineering squads, define requirements, prioritize initiatives, measure business outcomes, and partner with Finance, Compliance, Legal, Sales, Customer Experience, Design, and Engineering. Improve payment costs, revenue, conversion, fraud losses, and operational efficiency while mentoring other product managers and advancing AI adoption.

Build and operate production AI products, including sales acceleration systems, recommendation engines, and agentic operating systems. Own solutions end to end by gathering user needs, designing, coding, deploying, monitoring, and maintaining them. Evaluate agent decisions, detect performance drift, enable non-engineers to create automations, and contribute to shared AI infrastructure. Work across TypeScript, Rust, Ruby, Google Cloud, Kubernetes, and infrastructure as code while collaborating across advisory, sales, operations, and engineering.

Lead end-to-end product design for Compute experiences in the Nebius Console. Design scalable workflows for cloud resource creation, configuration, monitoring, management, and troubleshooting. Partner with product, engineering, research, and design teams; validate concepts through user insights and prototypes; communicate design rationale; support implementation quality; and contribute to the Console design system.

Own the Customer Operations product domain, including internal systems and tooling for configuration, incident handling, fulfillment tracking, and customer support efficiency. Drive fulfillment rates, reduce incidents and cost-to-serve, manage priorities and trade-offs, and own measurable business outcomes and P&L impact. Partner closely with engineering on technically complex products while shaping Nuitee’s growing product organization.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Lead zero-to-one product development of an AI contract-review agent: define vision, run extensive user discovery, scope prototypes, drive tech strategy with engineers, deliver MVP, and shape early GTM and positioning.

Lead product development for a zero-to-one on-premise AI appliance: define v1 scope, ship model serving and developer tools, run discovery with technical buyers, coordinate hardware/software integration, and run pilots, pricing, and go-to-market experiments.

Lead the vision, strategy, and 0-to-1 delivery of Kaltura’s enterprise Learning and Enablement Experience platform. Own product roadmap, AI integrations, portfolio integration, enterprise pricing and packaging, go-to-market strategy, competitive positioning, and executive reporting. Build AI-powered course generation, conversational tutoring, personalized learning paths, simulations, and platform foundations for enterprise learning, sales enablement, customer onboarding, and education markets.

Own the vision, roadmap, commercialization, and executive strategy for Kaltura’s AI-powered learning and enablement platform. Lead 0-to-1 MVP delivery and post-MVP expansion across AI course generation, conversational tutoring, personalized learning, simulations, and enterprise foundations. Integrate acquired products and agentic AI capabilities while partnering with engineering and GTM teams on architecture, pricing, packaging, positioning, and enterprise sales. The role requires deep B2B SaaS product leadership, enterprise learning platform experience, production AI/ML delivery, and strong technical and commercial judgment.

Lead the full product lifecycle for verifiable computing solutions focused on AI and data integrity. Define product vision, roadmap, go-to-market strategy, branding, and positioning; lead cross-functional teams; develop strategic partnerships with technology and data platform companies; oversee product content; and monitor trends in AI governance, cybersecurity, and computational integrity.

Own product initiatives from customer discovery through release and post-launch monitoring. Conduct user and competitor research, analyze product data, write requirements, prioritize roadmaps, collaborate with Engineering and Design, define experiments, coordinate releases, and use performance feedback to drive continuous product improvement.

Lead the Connect product group to drive commercial growth by setting product strategy, pricing, packaging, and P&L ownership across APIs, enterprise products, booking, mapping, and data. Work closely with engineering, sales, and customers, take direct ownership of core product (LiteAPI) initially, and build a PM team while prioritizing investments that increase adoption and revenue.

Design the demo and onboarding experiences for Constructor's e-commerce product discovery platform. Own visual strategy, map interactions for AI/LLM features, produce high-fidelity mockups and assets, and ensure designs scale within the company design system to help customers go live faster.

Own the anti-fraud product roadmap across signup, payments, account protection, compute-abuse prevention, risk scoring, manual review, customer verification, and appeals. Partner with Trust & Safety, Engineering, Data Science, Analytics, and Legal to define detection rules, models, incident responses, experiments, and compliance processes. Monitor fraud losses, chargebacks, false positives, review throughput, and detection speed while minimizing customer friction.

Lead product design for Synthesia’s AI-native Sessions experiences. Own major design bets from problem framing through launch, establish design vision, prototype conversational and agentic interaction models, and partner with Product and Engineering leaders. The role emphasizes interaction and visual craft, systems thinking, user trust, transparency, control, enterprise needs, and measurable improvements to AI-driven workflows.