Senior Technical Program Manager, Core Algorithms

Responsibilities

• Own end-to-end program management for core algorithm development initiatives, from early research and data collection through model development, validation, and production deployment.
• Partner with leadership to translate algorithm and sensing strategy into executable program plans with clear milestones, dependencies, risk profiles, and success criteria.
• Plan and manage algorithm development timelines with full awareness of cross-functional dependencies across data collection, signal processing, software, firmware, and product teams.
• Drive cross-functional alignment by working directly with product managers, engineering leads, and data collection groups to ensure shared understanding of priorities, timelines, and deliverables.
• Proactively identify future risks, obstacles, and dependencies before they become blockers; develop and drive mitigation plans.
• Report program status, risks, and key decisions to leadership with clarity and precision; flag issues early and with proposed solutions.
• Facilitate and maintain program governance including planning cadences, design reviews, decision forums, and cross-team syncs.
• Build and continuously improve AI-enabled tools, workflows, and automations to increase program management effectiveness, including status tracking, dependency mapping, risk monitoring, and stakeholder communication.

Qualifications

• 4+ years of experience in technical program or project management, with direct experience supporting AI/ML, data science, or algorithm development teams.
• Demonstrated understanding of the ML development lifecycle, including data collection, model training, evaluation, validation, and deployment.
• Fluency with AI tools (e.g., LLMs, automation platforms, workflow builders) and a demonstrated track record of building or adopting AI-powered workflows to increase speed and scale of program execution.
• Ability to understand technical concepts deeply enough to identify risks, ask critical questions, and facilitate resolution of blockers across ML, data, software, and firmware workstreams.
• Experience managing complex, multi-team programs with significant cross-functional dependencies.
• Clear, confident communicator who can bridge deeply technical ML teams with product and business stakeholders.
• Proven ability to drive alignment across diverse teams with competing priorities.
• Data-driven approach to program planning and tracking, comfortable defining and reviewing metrics to measure program health and success.
• Fluency with agile methodologies, sprint planning, and backlog management processes and associated tooling.
• High ownership mentality with a bias for action and comfort operating in ambiguity.

Preferred

• Experience working in consumer health products or wearable technology.
• Familiarity with algorithm development pipelines that depend on real-world physiological, health, or behavioral data.