Senior Technical Program Manager, Product

Komodo Health is dedicated to reducing the global burden of disease through smarter use of data. They are seeking a Senior Technical Program Manager who will oversee cross-functional execution across Product and Engineering, manage beta programs, and drive delivery at scale to enhance customer experience with their products.

Responsibilities:

• Own program roadmaps, milestones, and success metrics spanning multiple engineering teams and product surfaces
• Lead beta programs end-to-end: partner onboarding, feedback loops, staged rollout coordination, and go/no-go decisions
• Drive cross-functional alignment across product, engineering, design, and external partners at the senior leadership level
• Represent program health and tradeoffs clearly to VP and senior leadership
• Shape how the team operates by introducing scalable processes and program norms that extend beyond your own workstreams
• Partner with Engineering Leads and tech leads on scope, sequencing, and release readiness

Requirements:

• Deep experience driving complex, cross-functional programs in a product engineering org
• Strong technical fluency: able to engage substantively with engineers on architecture, tradeoffs, and system design
• Demonstrated track record running external beta or partner programs with measurable outcomes
• Ability to influence senior stakeholders and drive decisions without direct authority
• Exceptional written and verbal communication, including executive-level reporting
• Experience embedded in a Technical or Engineering org, with working knowledge of software development cycles, system dependencies, and technical debt tradeoffs
• Ability to read and reason about technical specs, architecture docs, and API documentation without requiring translation from engineering
• Expected to actively use AI tools to accelerate program planning, synthesize feedback from beta programs, generate status communications, and identify patterns across large datasets. Comfort with AI-assisted workflows is a baseline expectation for this role
• Experience managing programs that involve data pipelines, platform services, or infrastructure dependencies alongside user-facing product work
• Prior exposure to AI or ML product development cycles, including the challenges of shipping probabilistic systems: model evaluation, data quality gates, and iterative release patterns
• Experience working directly with SaaS, AI platform or data platform teams, understanding how model updates, feature pipelines affect product delivery timelines
• Prior experience at a high-growth or large-scale tech company where execution complexity required building new program infrastructure, not just following existing playbooks