Product Marketing Lead, Genai

Scale AI Scale AI · Data AI · San Francisco, CA · Marketing

Product Marketing Lead for GenAI data products at Scale AI, focusing on positioning, messaging, content strategy, competitive intelligence, and go-to-market strategies for AI researchers and technical buyers. The role emphasizes understanding customer needs and translating technical concepts into compelling narratives.

What you'd actually do

  1. Own positioning and messaging for Scale’s GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
  2. Lead the content and social strategy for [Scale Labs](https://labs.scale.com/)’ dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community.
  3. Build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
  4. Partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business
  5. Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.

Skills

Required

  • 5+ years of experience in product marketing
  • track record of marketing technical products to developer or research audiences
  • Strong technical fluency and passion for AI
  • Experience building social-native content and community strategies on platforms like X
  • Excellent written communication and storytelling skills
  • Ability to work across functions and move fast in a dynamic, high-stakes environment

Nice to have

  • Familiarity with the AI training data market, or adjacent data and infrastructure spaces
  • An existing network or relationships within the AI research community
  • Experience navigating competitive markets where differentiation requires more than feature comparisons

What the JD emphasized

  • technical products to developer or research audiences
  • Strong technical fluency and passion for AI
  • hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance
  • move fast in a dynamic, high-stakes environment