Staff Product Manager, AI Ecosystem

Temporal; United States; Híbrido; USD 150.000 - 230.000; Tempo integral

Benefícios oferecidos por esta vaga

Equity

Comprehensive benefits

Competitive compensation

Resumo da vaga

United States Digital Space LLC in the San Francisco Bay Area is seeking a staff-level Product Owner to own integrations and partnerships across the AI stack. You will shape the ecosystem and drive adoption of our execution layer for AI deployments.

You will stay close to customers, translate learning into a practical roadmap, and collaborate with cross-functional teams to launch integrations and enable the field for selling and supporting them.

Qualificações

• 8+ years in product management or equivalent with ecosystem ownership.
• Hands-on AI tooling knowledge (agents, SDKs, eval/observability).
• Experience with integrations or developer platforms, not just user features.
• Collaborates with Product Marketing, Sales, Solutions Architecture and partners.

Responsabilidades

• Own the integrations & partnerships roadmap across the AI stack.
• Stay close to customers and track a fast-moving AI tooling landscape.
• Define ecosystem story, architectures, and composable blocks for engineers.
• Lead GTM with internal and partner teams to drive adoption.
• Build field enablement demos, talk tracks, and reference materials.
• Set and monitor KPIs for ecosystem adoption and momentum.

Conhecimentos

Staff-level product ownership

AI fluency

Ecosystem / partnerships

GTM partnerships

Technical literacy

Narrative writing

Descrição da vaga

About the RoleAI teams are assembling their stacks from a fast-moving set of best-in-class tools — model providers, agent SDKs, evaluation and observability platforms, cloud services. the company is the durable execution layer that ties those pieces together and makes them production-grade. That position is a strategic advantage, and it needs a dedicated owner.

Location: San Francisco Bay Area (strongly preferred); remote (US) considered with heavier travel

What You’ll Do

• Own the integrations & partnerships product roadmap. Identify, prioritize, and sequence the integrations and partner experiences that make the company the execution layer of choice across the AI stack, and make the hard calls about what not to build.

• Stay in the market daily. Be in customer conversations constantly and track a fast-moving AI tooling landscape. Turn what you learn into a roadmap grounded in real, current user needs.

• Help define the "the company for AI" ecosystem story. Work with cross-functional partners to drive the positioning, reference architectures, and composable building blocks that help AI engineers see how the company fits their architecture — prescriptive enough to be useful, adaptable enough to fit their stack.

• Take products to market with GTM. Partner with internal GTM (Product Marketing, Sales, Solutions Architecture, DevRel) and with partner GTM orgs to launch integrations and drive adoption.

• Drive internal enablement. Make sure the field knows how to sell, deploy, and support every integration in the portfolio. Help build the demos, talk tracks, and reference materials at the right altitude.

• Define and track success. Set the KPIs that tell us whether the ecosystem strategy is working. Our priors is that early-stage ecosystem bets are measured by adoption and momentum, not immediate revenue.

What You’ll Bring

Staff-level product ownership. You take an ambiguous strategic question and turn it into a roadmap and shipped outcomes with minimal direction. 8+ years in product management or an equivalent track record.

• Deep AI fluency. You are hands-on with the AI tooling landscape (eg, agent frameworks and SDKs, model providers, eval and observability tools) and you have an opinionated, well-reasoned view of where it’s going. If you’re not touching this technology regularly, you’ll fall behind, and this role can’t afford that.

• Ecosystem, platform, or partnerships product experience. You’ve owned integrations, a developer platform, or partner-facing products, not just end-user features.

• GTM partnership instincts. You’ve worked hand-in-hand with Product Marketing, Sales, Solutions Architecture, and external partners to launch products and drive adoption, and you can enable a field organization to sell something new.

• Technical literacy. You reason fluently about AI systems, and can hold your own in a design conversation with Staff engineers. You don’t need to write production code.

• Narrative-grade writing. You build stories. You can write the document that aligns an organization and changes what it invests in.

Nice to Have

Background in distributed systems, durable execution, or workflow orchestration

• Hands-on experience with the company or comparable systems

• Prior DevRel, field-facing, or technical-marketing-adjacent experience

• A track record of building reference architectures or developer enablement programs

Why the company

• Deeply involved in AI. We power many of the biggest names in the space, and partner with the companies defining it.

• Open source at the core, a strong engineering culture, and a developer-first mission.

• Well-funded with a strong growth trajectory.

• Competitive compensation, equity, and comprehensive benefits.

the company Technologies is an Equal Opportunity Employer. the company Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.

the company is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.