Senior Staff Product Manager – Platform Integrations, Partnerships

Twelve Labs

. Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms .

Posted 10/1/2026full-timeUnited StatesSenior💰 $216,000 - $280,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on partnerships and integrations, leveraging strong technical fluency in cloud infrastructure and system architecture. Capable of translating complex partner requirements into actionable product specifications while managing multiple relationships and driving successful go-to-market strategies.

Highest-signal resume keywords

Product Management ExperienceCloud Infrastructure ExpertiseAPI Design ProficiencyPartnership DevelopmentTechnical Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap OwnershipSystem ArchitectureMachine LearningGPU-Heavy IntegrationsTechnical DesignSecurity and Compliance ReviewGo-To-Market EnablementPartner Relationship ManagementData Platform IntegrationTechnical Specification Development

Soft Skills

Clear CommunicationComfort Operating in AmbiguityMulti-Stakeholder CollaborationAdaptabilityProblem-Solving

Tools & Technologies

AWSAzureGCPDatabricksSnowflakeAWS Partner CentralAzure MarketplaceGCP Partner Advantage

Industry Keywords

Ecosystem ProductsIntegration PartnershipsAI/ML ServicesFoundation ModelsEmbedding-Based Data PlatformsContent Technology

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformGo

About the role

Key responsibilities & impact

Own the product roadmap for co-development, distribution, and integration partnerships across major cloud providers and data platforms
Partner with product and engineering counterparts at platform companies to scope, prioritize, and ship joint integrations
Identify business and technical risks and design tests to validate partner and customer demand before engineering execution
Translate ambiguous, multi-stakeholder partner requirements into clear product specifications
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 core success metrics
Hold the roadmap accountable to product and business outcomes
Represent TwelveLabs in partner-facing technical and business conversations
Work across Product, Engineering, Science, Go-to-Market, Sales, Partnerships, Field Engineering, Security, Legal, and Marketing
Manage a portfolio of concurrent partner workstreams from early technical scoping through general availability and scale

Requirements

What you’ll need

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
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
Platform and ecosystem mindset; looking for leverage and network effects
Bachelor's degree or equivalent practical experience
Preferred: experience with hyperscaler co-sell or partner programs such as AWS Partner Central and ACE, Azure Marketplace, or GCP Partner Advantage
Preferred: familiarity with foundation models, vector or embedding-based data platforms, or AI/ML inference infrastructure
Preferred: experience operating in a startup or high-growth environment
Preferred: background in media, video, or content technology
Ability to work a hybrid schedule in a San Francisco-based office at least 2 days per week

Benefits

Comp & perks

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 onsite only)
Daily lunch & dinner provided (SF onsite only)
Equity