Senior Technical Program Manager II - AI

As a Senior Technical Program Manager II, AI, you will play a pivotal role at the intersection of AI Research, Engineering, Product Management, and hardware ecosystems. You will take ownership of cross-functional AI initiatives from early concept through model development, cloud/edge deployment, and continuous post-launch optimization. You will lead high-visibility programs spanning Generative AI workflows (Draft One, Form One), Video Search & Automated Redaction, and On-Device Edge Vision & Guardian Alerts. Hybrid schedule based out of the Seattle, WA office: onsite Tuesdays through Fridays, with flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.

Responsibilities

End-to-End Program Ownership: Orchestrate complex, multi-team AI initiatives from design and data collection to model training, deployment, and post-launch evaluation; Cross-Functional Leadership: Partner closely with AI Scientists, Machine Learning Engineers, Product Managers, and Executive Leadership to define strategic roadmaps, prioritize opportunity areas, and align delivery milestones; Scale Edge & Cloud Systems: Coordinate the technical dependencies between cutting-edge AI research, cloud microservices (AWS/Azure/GCP), and resource-constrained IoT/Edge devices; Delivery & Executive Governance: Define key success metrics, work breakdown structures, and program roadmaps; own executive reporting and operational frameworks (MBRs, ZBB, risk reviews); Data Lifecycle Oversight: Manage end-to-end data strategies, including dataset acquisition, annotation pipelines, model evaluation, and third-party vendor management; Enablement & Mentorship: Elevate overall AI literacy across customer-facing product pillars and coach and mentor junior TPMs

Requirements

Bachelor's Degree in Computer Science, Engineering, Mathematics, Physics, or a related highly technical field; 7+ years of hands-on experience in a software development organization building large-scale distributed systems as a TPM, Technical Lead, or Product/Engineering Manager; 5+ years of dedicated experience managing complex machine learning programs from concept to production delivery; Demonstrated expertise with ML platforms and cloud model deployment on AWS, Microsoft Azure, or Google Cloud Platform; Proven ability to author clear, high-quality technical specifications and architectural documentation for complex, multi-tiered systems; Proven track record of translating highly ambiguous product requirements into structured delivery plans while managing competing priorities in a fast-paced environment

Nice to have

Master's or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative discipline; Background as a former ML researcher, engineer, or engineering manager; Ability to write Python scripts to evaluate, benchmark, or triage ML model performance; Direct experience deploying ML/CV models on-device (IoT/Edge) under strict power, compute, memory, and latency constraints; Fluency with modern Deep Learning/LLM frameworks, third-party ML platforms, continuous learning loops, and AutoML systems; Deep understanding of AI safety, ethics, and model fairness; Public speaking, publications, or active contributions to the ML community

Benefits

Competitive salary and 401k with employer match; Discretionary paid time off; Paid parental leave for all; Medical, Dental, Vision plans; Fitness Programs; Emotional & Mental Wellness support; Learning & Development programs; Snacks in offices