Senior Staff Product Manager, Platform Integrations & Partnerships

Video lives in many existing locations today. For our largest customers, bringing the video intelligence to their data is the fastest way to deliver value. Our partnerships with platforms where that video already exists is a critical part of our business. The Platform Integrations team owns that path: co-development, distribution, and integration partnerships with major clouds such as AWS, Azure, and GCP, and data platforms such as Databricks, Snowflake, and others. This is a staff-level individual contributor role with unusual leverage. One well-scoped integration with a major platform can unlock adoption for thousands of downstream.

Responsibilities

Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms; Partner directly with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations; Identify the business and technical risks behind each proposed integration and design tests that validate partner and customer demand before engineering execution; Translate ambiguous, multi-stakeholder partner requirements into clear product specifications that internal and partner engineering teams can execute; Drive integrations end to end, including technical design, security and compliance review, GTM enablement, launch, and co-sell readiness; Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, packaging, and joint go-to-market plans; Track partner-sourced pipeline, usage, and adoption as the core success metrics for the integrations you own; Hold the roadmap accountable to product and business outcomes rather than the number of integrations shipped; Represent TwelveLabs in partner-facing technical and business conversations

Requirements

7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products; Experience in a customer-facing solutions architecture or forward-deployed engineering role, with real depth in system architecture and/or machine learning; 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; Comfort operating in ambiguity, managing multiple partner relationships at different stages, and reprioritizing as new information arrives; A platform and ecosystem mindset; A 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; Experience operating in a startup or high-growth environment with fast-shifting priorities; Background in media, video, or content technology

Benefits

An open and inclusive culture and work environment; Work closely with a collaborative, mission-driven team on cutting-edge AI technology; Full health, dental, and vision benefits; Extremely flexible PTO and parental leave policy; Office closed the week of Christmas and New Years; Monthly wellness stipend; Annual Learning & Development stipend; VISA support where applicable; Transportation stipend (SF & NY onsite only); Daily meal support (SF & NY onsite only)