Product Manager (Experts Marketplace)

Company Intro

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 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, Israel, Czech Republic, Serbia, and more.

About position

We’re hiring a Product Manager to own the end‑to‑end health of a two‑sided talent network -supply (freelancers) and demand (client teams). You’ll build the flows, policies, and incentives that improve time‑to‑match, fulfillment, and GMV, while keeping data and IP safe.

 

What You’ll Do

• Define and drive the product strategy and roadmap for Toloka’s marketplace domain
• Build products and workflows that improve the health of a two-sided marketplace across supply, demand, quality, and economics
• Improve expert onboarding, qualification, profiling, and activation flows
• Design and scale matching, routing, and staffing systems that help projects start faster and fill successfully
• Build tools and mechanics for expert search, readiness scoring, taxonomy, and project-to-expert fit
• Partner with operations teams to automate manual processes across workforce requests, onboarding, retention, and support
• Improve marketplace transparency through metrics, dashboards, and clear operating mechanisms
• Work on pricing, payment, incentive, and policy mechanisms that improve expert experience and business performance
• Run product discovery with users and stakeholders, validate opportunities with data, and translate insights into execution
• Write clear product requirements, prioritize trade-offs, and lead cross-functional delivery from concept to launch
  
  

Example Problems You May Own

• Cut time to initial staffing and improve fill rate for high-priority projects
• Build smarter expert routing and search for solution owners and delivery teams
• Launch richer expert profiles, qualification signals, and readiness indicators
• Improve retention and reactivation flows for high-value experts
• Introduce marketplace mechanisms that support scaling an open talent pool while preserving quality
• Increase operational efficiency by replacing fragmented manual workflows with productized systems

What Success Looks Like

• Projects are staffed faster, with higher quality and lower operational overhead
• More experts become ready to work, activate successfully, and stay engaged over time
• Matching quality improves across projects, domains, and expert segments
• Marketplace teams and delivery teams can operate with better visibility, less manual effort, and stronger automation
• Product decisions measurably improve marketplace