Product Manager, Workflows

Rad AI•San Francisco, CA

18h•$180,000 - $210,000

About The Position

Rad AI is a rapidly growing healthcare AI company on a mission to transform radiology. We are building AI-powered solutions that make a real impact, with our latest advancements in generative AI used by thousands of radiologists daily. Our products include Rad AI Impressions, Rad AI Reporting, Rad AI Continuity, and Rad AI Orchestration. Rad AI Orchestration is our platform layer for workflow, interoperability, and intelligent routing across the imaging stack, sitting at the intersection of clinical workflow, AI-driven prioritization, load balancing, and integration with PACS and reporting systems. We are seeking a Product Manager, Workflows to own the roadmap and delivery for our orchestration platform and related workflow capabilities.

Requirements

Product manager with experience shipping workflow-heavy enterprise software.
Ability to operate as a strong project and product owner—not just a strategist.
Comfortable driving execution in ambiguous environments with senior stakeholders and tight deadlines.
Ability to earn trust quickly across engineering and leadership.
Strong technical fluency and can work closely with engineers on implementation details, dependencies, and tradeoffs.
Ability to ramp quickly and contribute immediately—you don't need a long onboarding curve before you start shipping.

Nice To Haves

Have built or managed an imaging workflow product or similarly operational clinical software before.
Experience with healthcare imaging, radiology IT, PACS, routing, or adjacent workflows.
Have built workflow or orchestration products before.
Know how to bring order to multi-team product efforts.
Can balance speed with pragmatism.
Energized by high-ownership, high-ambiguity, high-urgency work.

Responsibilities

Own the roadmap and delivery for our orchestration platform and related workflow capabilities, end-to-end.
Turn high-level product direction into execution – clear requirements, milestones, and execution plans the team can build against.
Partner closely with engineering to ship on an accelerated timeline, including the implementation details and dependencies.
Coordinate across internal stakeholders to drive decisions on scope, sequencing, and tradeoffs—and to keep them aligned as conditions change.
Work with product and technical teams to make sure orchestration components fit together cleanly with the rest of the Rad AI platform.
Keep teams focused on what is required to launch something meaningful to drive efficiency for radiologists.
Serve as the operational owner who keeps the trains running across product, engineering, and leadership.