Product Marketing Manager

Toloka AI creates data that powers leading generative AI models and innovations through experts, crowds, and technology platforms. The Product Marketing Manager will translate complex AI capabilities into differentiated customer value, define target audiences and use cases, lead go-to-market initiatives, develop customer proof, enable sales, and shape thought leadership.

Responsibilities:

• Own positioning and messaging across priority products, audiences, and use cases, translating complex AI/ML capabilities into clear, differentiated customer value
• Define ICPs and priority use cases by turning customer, market, and sales insights into actionable segmentation and GTM recommendations
• Lead go-to-market strategy for launches, solutions, and strategic initiatives, including audience, messaging, proof, competitive narrative, enablement, and measurement
• Bring customer and market intelligence into the business to influence product, packaging, and GTM decisions
• Own competitive intelligence and equip teams with clear differentiation, battlecards, objection handling, and guidance on where Toloka should compete
• Develop customer proof through case studies, benchmarks, technical proof points, and quantified outcomes
• Enable Sales with messaging, pitch narratives, discovery tools, use-case materials, and ongoing feedback from customers and the field
• Shape thought leadership by turning Toloka’s technical expertise, research, and market perspective into compelling category narratives

Requirements:

• 6+ years of B2B product marketing experience in AI, ML, developer tools, data, cloud, or another technical category
• Proven ownership of positioning, messaging, ICPs, launches, competitive intelligence, and sales enablement
• Strong understanding of enterprise buying motions and technical audiences
• Ability to translate complex products into clear customer value
• Strong customer research, market analysis, and communication skills
• Effective cross-functional leader who can operate in ambiguity, create structure, and execute hands-on