Engineering Program Manager

Knowtex•San Francisco, CA

About The Position

About Knowtex Knowtex is building the future of voice AI operating systems for clinicians, transforming how healthcare documentation happens at the point of care. Founded by Stanford AI scientists with deep clinical experience, we're experiencing explosive growth across both commercial health systems and federal healthcare, with our ambient documentation platform scaling rapidly to thousands of clinicians across hundreds of specialties. We're at an inflection point where cutting-edge AI meets real clinical impact, giving clinicians hours back each day to focus on what matters most - their patients. Position Overview We are seeking an Engineering Program Manager to drive execution excellence across our engineering organization. This role partners closely with the Director of Engineering and technical leads to ensure predictable, high-quality delivery across Frontend, Backend, Integrations, Platform, and Applied ML teams. The Engineering Program Manager will play a central role in scaling our engineering operations as we expand across enterprise health systems and federal deployments. This is a highly cross-functional role that requires strong operational discipline, clear communication, and the ability to navigate complex technical environments.

Requirements

4–8+ years of experience in engineering program management, technical program management, or similar roles
Experience managing complex software delivery across multiple engineering teams
Strong understanding of agile methodologies, CI/CD workflows, and modern software development practices
Excellent communication skills and ability to work across technical and non-technical stakeholders
Strong organizational skills and ability to manage ambiguity in fast-growing environments

Nice To Haves

Experience in healthcare technology or enterprise SaaS
Experience supporting regulated or federal deployments
Technical background in software engineering or systems
Experience working closely with ML-enabled systems

Responsibilities

Drive sprint planning, execution, and retrospective processes across engineering teams
Maintain visibility into engineering capacity, resource allocation, and workload balancing
Track project milestones and ensure on-time delivery across multiple workstreams
Identify cross-team dependencies and proactively manage risks
Coordinate release planning and readiness activities
Partner with Product to ensure engineering has clear, actionable requirements
Prepare delivery status updates and executive-ready reporting
Improve engineering workflows, documentation, and operational processes
Support scaling initiatives as the engineering organization grows