Responsibilities

• Execute end-to-end GTM launches for frontier-facing offerings, from positioning and messaging to asset development, enablement, and post-launch iteration, in partnership with Research, Product, and Sales.
• Build and maintain the frontier enablement portfolio (decks, technical one-pagers, talk tracks, battlecards, demos) as the single source of truth for frontline teams.
• Partner cross-functionally to develop integrated campaigns and ABM programs targeting frontier accounts, iterating based on pipeline signals and aligning product narrative across channels.
• Own competitive intelligence for the frontier space, track lab moves, and surface insights that shape positioning, roadmap input, and field strategy.
• Collaborate with Research to develop external content (benchmarks, eval reports, technical blogs, co-marketing assets) that accelerates deals and sharpens Snorkel’s credibility.
• Own frontier-lab GTM intake, prioritize requests by revenue and strategic impact, and ensure the right asset or play reaches the right audience with quality and speed.

Requirements

• 5–8+ years in product marketing, technical marketing, or related fields, including 2+ years focused on AI-native products.
• Deep expertise defining differentiated positioning and compelling product narratives, integrated across the funnel.
• Seasoned technical communicator who translates complex concepts for research, technical, and business audiences with strong storytelling.
• Proven ability to maintain quality across multiple workstreams in a fast AI-native, high-growth environment.
• Experience building sales plays and enablement assets (battlecards, one-pagers, decks) for technical buyers in B2B startups or scale-ups.
• Hands-on experience contributing to integrated campaigns and ABM programs in close partnership with Demand Gen, especially for concentrated technical buyer sets.
• Track record in competitive intelligence, synthesizing signals into materials that win deals.
• Data-driven with a disciplined approach to KPI tracking and performance metrics.

Preferred

• Frontier AI fluency: knowledge of frontier model development, benchmarks, evals, RL, and related data/environments.
• Technical or research background in ML, ML platforms, dev tools, or research-grade products.
• Based in or near San Francisco.
• AI fluency in craft: applying AI to augment work with a high taste standard.