Senior Technical Program Manager II - AI
About The Position
Axon is hiring a Senior Technical Program Manager II to lead cross-functional AI initiatives at the intersection of AI research, engineering, product management, and hardware ecosystems. The role owns programs from early concept through model development, cloud or edge deployment, and ongoing post-launch optimization. Programs include Generative AI workflows such as Draft One and Form One, Video Search and Automated Redaction, and On-Device Edge Vision and Guardian Alerts. The role also de-risks complex machine learning systems, scales internal delivery mechanisms, and bridges research and production environments. The position is based in Axon’s Seattle, Washington office and follows a hybrid schedule: onsite Tuesday through Friday, with remote work on Mondays, except where an approved workplace accommodation applies. Axon describes itself as a mission-driven company focused on public safety and employee well-being, and expects employees to follow relevant environmental, health, and safety requirements and procedures.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Physics, or a related highly technical field.
- At least 7 years of hands-on experience in a software development organization building large-scale distributed systems as a technical program manager, technical lead, or product/engineering manager.
- At least 5 years of dedicated experience managing complex machine learning programs from concept through production delivery.
- Demonstrated expertise with machine learning platforms and cloud model deployment on AWS, Microsoft Azure, or Google Cloud Platform.
- Ability to author clear, high-quality technical specifications and architectural documentation for complex, multi-tiered systems.
- Track record of translating ambiguous product requirements into structured delivery plans while managing competing priorities in a fast-paced environment.
Nice To Haves
- Master’s or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative discipline.
- Background as a former machine learning researcher, engineer, or engineering manager.
- Ability to write Python scripts to evaluate, benchmark, or triage machine learning model performance.
- Direct experience deploying machine learning or computer vision models on IoT or edge devices subject to power, compute, memory, and latency constraints.
- Fluency with modern deep learning and LLM frameworks, third-party machine learning platforms, continuous learning loops, and AutoML systems.
- Deep understanding of AI safety, ethics, and model fairness.
- Public speaking, publications, or active contributions to the machine learning community.
Responsibilities
- Orchestrate complex, multi-team AI initiatives from design and data collection through model training, deployment, and post-launch evaluation.
- Partner with AI scientists, machine learning engineers, product managers, and executive leadership to set strategic roadmaps, prioritize opportunities, and align delivery milestones.
- Coordinate technical dependencies between AI research, cloud microservices, and resource-constrained IoT and edge devices.
- Define success metrics, work breakdown structures, and program roadmaps; own executive reporting and operational frameworks, including MBRs, ZBB, and risk reviews.
- Manage end-to-end data strategies, including dataset acquisition, annotation pipelines, model evaluation, and third-party vendor management.
- Improve AI literacy across customer-facing product pillars.
- Coach and mentor junior technical program managers.
Benefits
- Competitive salary and 401(k) with employer match.
- Discretionary paid time off.
- Paid parental leave for all.
- Medical, dental, and vision plans.
- Fitness programs.
- Emotional and mental wellness support.
- Learning and development programs.
- Snacks in offices. Benefits may vary depending on employment nature and work location.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
