2 months ago

Senior Product Marketing Manager - Frontier Labs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Product marketer shaping GTM for frontier AI offerings, translating complex research and technical value into differentiated positioning, enablement assets, and high-impact campaigns. Partners with Research, Product, and Sales to drive launches, sales plays, and content that resonates with frontier labs’ researchers and procurement leaders in a fast-moving market.

Location: Redwood City, San Francisco

Workplace: Hybrid

Job Function: Marketing & Growth

Seniority: Manager level

Key Responsibilities

•GTM execution: Execute launches for frontier-facing offerings end-to-end, from positioning and messaging through asset development, enablement, and post-launch iteration, in close partnership with Research, Product, and Sales.
•Sales enablement: Build and maintain the frontier enablement portfolio (decks, technical one-pagers, talk tracks, battlecards, demo and benchmark narratives) as a single source of truth, and develop repeatable sales plays tailored to research, evals/safety, and data procurement personas inside frontier labs.
•Campaign & ABM partnership: Partner cross-functionally to develop integrated campaigns and ABM programs targeting frontier accounts. Drive continuous iteration based on pipeline signal and ensure product narrative is integrated across channels.
•Competitive intelligence: Own competitive intelligence for the frontier space, maintain sales assets, track lab-side moves, and surface insights that shape positioning, roadmap input, and field strategy.
•Research-credible content: Partner with Research to develop external content (benchmark and eval reports, technical blog posts, partnership announcements, co-marketing assets) that supports deal acceleration, sharpens positioning, and establishes Snorkel as a credible peer to frontier research teams.

Pay and Benefits

Salary: USD 132,000 - 240,000 annually

Key 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, and integrating them into high-impact marketing across the funnel.
•Technical communication: translate complex technical concepts for research, technical, and business audiences into high-impact storytelling.
•Execution excellence: maintain quality across multiple workstreams in an AI-native, high-growth environment.
•Enablement: build sales plays and enablement assets (battlecards, one-pagers, decks) in B2B startup or scale-up environments for technical buyers.

Experience:5-8 yearsAIEnterprise software

Skills:CommunicationLeadershipCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:AIMLBenchmarkingEvalsRL

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn

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Snorkel AI

2 months ago

Senior Product Marketing Manager - Frontier Labs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: Redwood City, San Francisco

Workplace: Hybrid

Job Function: Marketing & Growth

Seniority: Manager level

Key Responsibilities

•GTM execution: Execute launches for frontier-facing offerings end-to-end, from positioning and messaging through asset development, enablement, and post-launch iteration, in close partnership with Research, Product, and Sales.
•Sales enablement: Build and maintain the frontier enablement portfolio (decks, technical one-pagers, talk tracks, battlecards, demo and benchmark narratives) as a single source of truth, and develop repeatable sales plays tailored to research, evals/safety, and data procurement personas inside frontier labs.
•Campaign & ABM partnership: Partner cross-functionally to develop integrated campaigns and ABM programs targeting frontier accounts. Drive continuous iteration based on pipeline signal and ensure product narrative is integrated across channels.
•Competitive intelligence: Own competitive intelligence for the frontier space, maintain sales assets, track lab-side moves, and surface insights that shape positioning, roadmap input, and field strategy.
•Research-credible content: Partner with Research to develop external content (benchmark and eval reports, technical blog posts, partnership announcements, co-marketing assets) that supports deal acceleration, sharpens positioning, and establishes Snorkel as a credible peer to frontier research teams.

Pay and Benefits

Salary: USD 132,000 - 240,000 annually

Key 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, and integrating them into high-impact marketing across the funnel.
•Technical communication: translate complex technical concepts for research, technical, and business audiences into high-impact storytelling.
•Execution excellence: maintain quality across multiple workstreams in an AI-native, high-growth environment.
•Enablement: build sales plays and enablement assets (battlecards, one-pagers, decks) in B2B startup or scale-up environments for technical buyers.

Experience:5-8 yearsAIEnterprise software

Skills:CommunicationLeadershipCollaborationProblem-solvingStakeholder management

Languages:English

Tech Stack:AIMLBenchmarkingEvalsRL

Company Brief

Snorkel AI

Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.

Industry: Data Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series C

Headquarters: Palo Alto, United States

Founded: 2019

Website LinkedIn