Temporal Technologies
Staff Product Manager, AI Ecosystem
San Francisco, California · Staff+
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About the role
- AI 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.
- Temporal 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.
Responsibilities
- Own the integrations & partnerships product roadmap. Identify, prioritize, and sequence the integrations and partner experiences that make Temporal the execution layer of choice across the AI stack, and make the hard calls about what not to build.
- Work with cross-functional partners to drive the positioning, reference architectures, and composable building blocks that help AI engineers see how Temporal 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.
- Ecosystem, platform, or partnerships product experience. You've owned integrations, a developer platform, or partner-facing products, not just end-user features.
- 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.
- Own the integrations & partnerships product roadmap.
- Identify, prioritize, and sequence the integrations and partner experiences that make Temporal the execution layer of choice across the AI stack, and make the hard calls about what not to build.
Requirements
- 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.
Nice to have
- Background in distributed systems, durable execution, or workflow orchestration
- Hands-on experience with Temporal or comparable systems
- Prior DevRel, field-facing, or technical-marketing-adjacent experience
- Temporal's position underneath the AI stack is rare and strategically valuable.
- Deeply involved in AI.
- Open source at the core, a strong engineering culture, and a developer-first mission.
- Well-funded with a strong growth trajectory.
- Temporal Technologies is an Equal Opportunity Employer.
Compensation
- Competitive compensation, equity, and comprehensive benefits.
This listing is sourced directly from Temporal Technologies's careers page and normalized into a canonical job model.