Senior Technical Program Manager

Responsibilities:
Own end-to-end program management for mission-critical initiatives, starting with our automation and quality program.
Build visibility across systems, dashboards, monitoring, alerting, health metrics, and escalation workflows.
Drive rapid root-cause analysis and coordinate incident resolution across engineering, ML, data, clinical, and CS teams.
Build process frameworks, runbooks, and scalable operational models that allow teams to execute predictably.
Establish proactive risk management, quality gates, and cross-team checkpoints before major releases.
Lead complex multi-team launches and rollouts (currently 6-8 weeks) and streamline them for predictability and speed.
Run program reviews, track dependencies, and maintain clear ownership across stakeholders.
Champion operational excellence, continuous improvement, tighter SLAs, better tooling, and consistent execution.
Requirements:
5+ years of technical program management experience, ideally in AI/ML, healthcare tech, or other quality-critical domains.
Proven track record managing multi-team programs involving engineering and non-engineering stakeholders.
Experience building operational systems such as monitoring, alerting, quality frameworks, and incident response.
Strong ability to drive results without formal authority and work effectively in high-ambiguity environments.
Background working with regulated or quality-sensitive workloads is strongly preferred.
Ability to understand system architecture and map which components are impacted by changes.
Strong analytical skills: SQL proficiency, comfort with dashboards, and trend analysis.
Experience with BI tools such as Looker, Tableau, Metabase, etc.
Comfortable having technical conversations with engineers and understanding trade-offs.
Familiarity with modern data/ML stacks; we use GCP and BigQuery.
Exceptional communicator who brings clarity, structure, and urgency.
Low-ego, high-empathy leader who can influence without authority.
Comfortable running war rooms, driving decision-making, and managing incidents end-to-end.
Builds processes that scale without creating unnecessary overhead
Experience in healthcare AI, medical coding, RCM workflows, or quality engineering.
Experience scaling programs at a fast-growing startup.
Exposure to pod-based org structures.
Prior background in operational excellence or reliability engineering.

Experience
10-14 yrs