Staff Product Manager (Platform Integrations & Partnerships)

Join TwelveLabs as a Staff Product Manager for Platform Integrations & Partnerships. In this role, you will own the product roadmap for co-development, distribution, and integration partnerships with major cloud providers and data platforms. You will work closely with various internal teams and partner product managers to drive integrations from technical design to launch. The ideal candidate has 7-10 years of product management experience, strong technical fluency, and a platform and ecosystem mindset.

• Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms.
• Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness.
• Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own.
• 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure
• Strong technical fluency in cloud infrastructure, system architecture, and API design. With an emphasis on GPU heavy integrations
• A track record working with major cloud or data platforms such as AWS, Azure, GCP, Databricks, Snowflake, or similar companies and their AI/ML services
• Clear and concise written communication across technical specifications, partner briefs, and roadmap documents
• Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning
• A bachelor's degree or equivalent practical experience
• A platform and ecosystem mindset. You look for leverage and network effects rather than treating every request as an isolated feature
• Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives
• 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
• Experience operating in a startup or high-growth environment with fast-shifting priorities
• Background in media, video, or content technology