Technical Program Manager - Wearables Experiences

You'll lead the development of EMG input technologies and their integration into wearables consumer devices across the full product cycle, from research through launch. You'll work with Research, PM, software, hardware, and AI/ML teams to define, plan, and deliver technology development and feature readiness. You'll also make sure these capabilities integrate into devices and meet the product requirements. The role involves high ambiguity and hands-on technical leadership, and you'll own large-scope programs end to end.

Responsibilities

Own readiness for EMG from inception to launch, defining readiness criteria and gates and driving technologies from research maturity into product integration Drive the technical roadmap and execution for EMG input, from research to production on wearable devices Work with PM and engineering to define requirements, milestones, and readiness criteria for EMG features and models Coordinate the hardware, firmware, software, and ML model work, including data collection, model training and evaluation, and on-device integration Identify technical risks and dependencies early, and lead the work to resolve them across teams Build strong partnerships, resolve conflicts between teams and keep stakeholders aligned on priorities and trade-offs Write clear program updates and decision documents for leadership, and keep teams and stakeholders clear on scope, status, and decisions Adapt plans quickly as product direction and technology change

Qualifications

B.S. in Computer Science or a related technical field, or equivalent experience 7+ years of technical program management experience on complex hardware and/or software programs Working knowledge of the AI/ML development cycle (data, training, evaluation, deployment) Experience delivering zero-to-one software and scaling software technologies into consumer devices Track record of building strong partnerships and driving programs autonomously across all levels of the organization Experience communicating program status, risks, and decisions in writing and verbally to technical and non-technical stakeholders, including leadership Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Background in neural interfaces, biosignals (EMG/EEG), sensing or input technologies Experience shipping consumer wearables, AR/VR or mobile devices Hands-on experience with AI/ML and modeling, including on-device ML or model optimization for constrained hardware Experience working with research teams to move technologies into products Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)