Description
We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We're shaping the future of work so teams can reach their potential and focus on what matters most.
About the Team The Pipedream team enables AI agents to connect to the software and services people use every day -- including Notion, Google Workspace, Slack, Zoom, GitHub, Jira, and thousands more. The platform is used by software developers at leading technology companies like Workday, Perplexity, Meta, and Relevance AI who are building AI agents and workflow products.
About the Role As a Senior Product Manager on the Pipedream team, you will drive the evolution of the platform with a focus on enterprise customers. This is a highly technical product role where you'll work closely with customers building AI agents, embedded integrations, and enterprise platforms -- helping shape the future of how integrations are delivered inside Workday and for external developers.
Responsibilities
- Define and deliver the capabilities that allow the world's largest organizations to adopt the platform securely and at scale, with a focus on integrations and connectivity, multi-region deployment and data residency, hosting and deployment models, and governance, compliance, and security controls
- Work directly with internal and external customers to understand their integration, security, and governance requirements, translating those insights into a clear and actionable product roadmap
- Drive alignment on product direction and partnering with engineering to scope, prioritize, and phase work for delivery
- Collaborate with go-to-market, support, and customer success teams to drive successful customer adoption and engagement
- Define success metrics and use data to continuously improve the product and inform future investments
Requirements
- Minimum of 8 years of experience in product management (or an equivalent technical role), including experience shipping developer-facing products such as APIs, infrastructure, integration platforms, or cloud services
- Experience with multi-region deployment and data residency
- Experience shipping an MVP and then growing it through iterative releases in close partnership with engineering
- Experience working directly with technical customers (including developers and platform teams) to turn requirements into a roadmap
- Working knowledge of LLMs, agents, and MCP (hands-on experience prototyping agents preferred)
- Experience with AI coding tools like Claude Code, Codex, or Cursor are part of how you work daily, and you use them to prototype, test ideas, and build things yourself