Senior Product Manager, Pipedream

Workday•San Francisco, CA

3d•$140,600 - $252,000•Hybrid

About The Position

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. You'll enjoy this role if you like solving technically challenging platform problems, think in terms of platforms rather than one-off features, are comfortable creating clarity for teams in ambiguous environments, and want to help build the integration platform powering the next generation of AI applications.

Requirements

7+ 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
Depth in two or more of the following enterprise software domains: security and identity; governance and compliance; multi-region deployment and data residency
Fluent with APIs, including working knowledge of OAuth and other authentication patterns, webhooks, and rate limits, and comfortable debugging integrations directly rather than relying solely on engineering
Experience shipping an MVP and then growing it through iterative releases in close partnership with engineering
Comfortable 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)
An AI power user: 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

Nice To Haves

Deep domain knowledge of API platforms, integrations, developer tools, or infrastructure products, with the ability to stay current with the latest developments in the field and apply that specialized understanding to improve product direction, anticipate customer needs, and inform long-term planning
Sound decision-making skills, with the ability to evaluate competing priorities, assess risk, and select the right course of action -- even with incomplete information -- balancing customer needs, technical feasibility, and business impact
Skilled in cross-team collaboration, with the ability to work effectively with members from engineering, design, go-to-market, and customer success, bringing together diverse perspectives, navigating different working styles, and fostering a culture of inclusivity and mutual respect to deliver shared outcomes
Forward-looking and able to connect product decisions to broader business goals, including identifying market opportunities, anticipating customer needs, and developing a product vision that creates long-term value for Workday and the evolving AI agent ecosystem
Experience in managing relationships with internal and external partners, including the ability to identify who needs to be involved, understand their needs and expectations, communicate product direction clearly, and facilitate engagement across customers, leadership, and cross-functional teams to drive alignment and improved outcomes
Excellent communication skills, both verbal and written, with the ability to adapt your style to different audiences and collaborate effectively across teams

Responsibilities

Defining and delivering 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
Working directly with internal and external customers to understand their integration, security, and governance requirements, translating those insights into a clear and actionable product roadmap
Driving alignment on product direction and partnering with engineering to scope, prioritize, and phase work for delivery
Collaborating with go-to-market, support, and customer success teams to drive successful customer adoption and engagement
Defining success metrics and using data to continuously improve the product and inform future investments