Freelance Senior Product Manager

About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises, and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients, including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured a strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. About the Position We are seeking an experienced Product Manager to drive the strategy and execution across Toloka B2B products, which include the Toloka platform and Tendem. In this role, you will take full ownership of the end-to-end product funnel and lifecycle, leading cross-functional teams to scale our existing platform solutions and introduce an ambitious new product to our global enterprise ecosystem. What will you do: • Identify significant near- and long-term opportunities and define product strategies and roadmaps. • Lead the end-to-end product lifecycle management, from ideation and requirements gathering to development, launch, and optimization. • Define and analyze metrics that inform success/failure. Monitor and analyze product performance, leveraging data analytics and user feedback to optimise the current value proposition and drive continual improvement and innovation. • Drive product development with a cross-functional team of engineering, design, analytics, and marketing teams to deliver measurable business impact. • Design and own the end-to-end funnel: from marketing to onboarding, activation, first and recurring payments. What we are looking for: • 7+ years of Product management experience working collaboratively with engineering, design, marketing, and operations. • Experience navigating through the full product life cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution. • Proven track record of building and optimizing acquisition–activation–monetization funnels, ideally in early-stage products. • Strong data literacy: ability to define metrics, read dashboards, and make decisions based on both quantitative and qualitative input. • Proven record of leading a cross-functional group (Marketing, Tech, Operations) around the user and revenue goals, not around functions. • Excellent communication in English; ability to clearly articulate hypotheses, decisions, and trade-offs to both technical and non-technical stakeholders. • Experience building 0-1 products, platform/ecosystem products, or marketplaces. • Hands-on, “roll up sleeves” mindset: comfortable manually refining processes after soft launch and iterating quickly. What we can offer • Freelance collaboration via the Ontop freelance platform. • Flexible, fully remote work schedule. • You’ll have the opportunity to work on highly innovative projects at the leading edge of AI development, together with a genuinely dedicated and dynamic team of experts. • You’ll also be working on projects with customers that are AI industry leaders and well-known household names. • Friendly community. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. 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