Senior Staff Product Manager, Platform Integrations & Partnerships

TwelveLabs, Inc.; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Open culture

Collaborative team

Health benefits

Flexible PTO

Wellness stipend

Learning stipend

Visa support

Transit stipend SF onsite

Lunch/dinner provided SF onsite

Job summary

TwelveLabs, Inc. seeks a senior product leader to own the Platform Integrations roadmap, shaping co-development with AWS, Azure, GCP, Databricks, and Snowflake. You will prioritize and ship joint integrations, align with security, GTM, and S&M to drive adoption, and manage partner relationships across a fast-growing ecosystem.

Ideal candidates have 7–10 years in product management with partnerships, strong cloud/API fluency, and a platform mindset to unlock value across major data platforms.

Qualifications

• 7–10 years in product management with partnerships or ecosystem focus.
• Customer-facing solutions architecture or forward-deployed engineering experience.
• Strong technical fluency in cloud architecture and API design.
• Experience with hyperscaler co-sell programs.
• Excellent written communication across technical docs and roadmaps.
• Comfort navigating ambiguity with multiple partner relationships.
• Platform and ecosystem mindset focused on leverage and network effects.
• Bachelor's degree or equivalent practical experience.

Responsibilities

• 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 risks behind proposed integrations and design tests to validate demand before engineering.
• Translate ambiguous partner requirements into clear product specifications for teams.
• Drive end-to-end integrations, including design, security, GTM enablement, launch, and co-sell readiness.
• Align Engineering, Sales, Partnerships, and Marketing on roadmap priorities, pricing, and packaging.
• Track partner-sourced pipeline, usage, and adoption as success metrics.
• Represent TwelveLabs in partner-facing technical and business conversations.

Skills

Partnerships

Platform products

Integration strategy

Cloud infrastructure

API design

Machine learning

Customer-facing

Stakeholder mgmt

Strategic planning

Education

Bachelor's degree or equivalent

Tools

AWS

Azure

GCP

Databricks

Snowflake

Job description

Who we are

Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight, sound, and motion — and power production-scale AI workloads across media, entertainment, sports, security, and government.

We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang.

We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter. Come build it with us!

About the Role

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 role is also tip of the spear for future AI services integrations as the ecosystem evolves, the Platform Integrations team will be the one to bring TwelveLabs models to the platforms our customers need us most.

In this role, you will own the product roadmap for this ecosystem. You will decide which integrations are worth building, validate demand before engineering execution, and lead each integration from the first conversation through joint general availability. You will also work closely with the Head of Strategic Partnerships and VP of Revenue to design the strategy and build conviction on the roadmap.

The work requires balancing TwelveLabs' roadmap against each partner's incentives, constraints, and technical realities.

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.

About the Team

The Platform Integrations team sits at the intersection of Product, Engineering, Science, and Go-to-Market.

We manage a portfolio of concurrent partner workstreams spanning early technical scoping through general availability and scale. The portfolio includes foundation model hosting, knowledge base and vector search integrations, media supply chain tooling, and infrastructure partnerships.

We work directly with partner product managers, solutions architects, and engineering teams to co-design integrations. Internally, we work with Engineering, Sales, Partnerships, Field Engineering, Security, Legal, Science, and Marketing to turn those integrations into pipeline, usage, and durable distribution.

In this role, you will

• 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, with a clear understanding of both TwelveLabs' priorities and the partner's incentives and constraints.

You may be a good fit if you have

• 7 to 10 years of product management experience, with meaningful work in partnerships, platform, ecosystem, or integration products. Demonstrated capability matters more than tenure.

• 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. You look for leverage and network effects rather than treating every request as an isolated feature.

• A bachelor's degree or equivalent practical experience.

Preferred Qualifications

• 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 and Perks

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 to invest in your growth

VISA support where applicable

Transportation stipend (SF onsite only)

Daily lunch & dinner provided (SF onsite only)