Drimva

Twelve Labs

Staff Product Manager, Platform Integrations & Partnerships

$200K–$240K

San Francisco +4 · Hybrid · Staff · Full-time · Posted Jul 21, 2026

Location
San Francisco
Remote US- CA
Remote US- OR
Remote US- WA
Remote US- AZ
Experience
7 to 10 years of product management experience; demonstrated capability matters more than tenure.
Education
Bachelor's degree or equivalent practical experience.
Visa sponsorship
Visa support where applicable

About the job

Own the product roadmap and delivery of cloud and data-platform integrations that bring TwelveLabs’ video AI models to customers’ existing platforms.

What you'll do

  • Prioritize and validate integration opportunities, then lead joint integrations from scoping through launch and general availability.
  • Coordinate partner and internal teams on technical specifications, security and compliance, pricing, packaging, and go-to-market plans.
  • Track partner-sourced pipeline, usage, and adoption against product and business outcomes.

What they ask for

  • 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products; demonstrated capability may matter more than tenure.
  • Experience in customer-facing solutions architecture or forward-deployed engineering, with depth in system architecture and/or machine learning.
  • Technical fluency in cloud infrastructure, system architecture, and API design, with emphasis on GPU-heavy integrations.
  • Bachelor's degree or equivalent practical experience.

Nice to have

  • Experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage.
  • Familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure.

Pay

$200K – $240K USD base salary

Tools

AWS, Azure, GCP, Databricks, Snowflake, AWS Partner Central, ACE, Azure Marketplace

AI focus

Lead integrations that make TwelveLabs’ multimodal video AI models available through cloud, data, and future AI-service platforms.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 5, 2026 (UTC)