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Own product positioning, messaging, audience segmentation, and go-to-market strategy for Toloka’s enterprise AI data solutions and self-service platform. Develop competitive intelligence, customer proof, sales enablement, and thought leadership while bringing customer and market insights into product and packaging decisions.
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 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
As Product Marketing Manager, you will sit at the intersection of product, sales, marketing, and customers and turn complex AI capabilities into clear, differentiated stories that move the market.
Cross functionally, you will help determine who we are building for, which problems matter most, how we package our capabilities, why customers should choose Toloka, and how our teams communicate that value consistently across the customer journey.
You will initially focus on two major growth areas:
This is a player-coach role. You will be expected to personally build the foundation while helping us develop a world-class product marketing function over time.
What you’ll do
What we're Looking For:
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