Senior Technical Program Manager II - AI

Axon•Washington, DC

3h•$147,675 - $236,280•Hybrid

About The Position

At Axon, we are building technology that protects life and transforms public safety. 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. In this role, 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. You will serve as a strategic technical operator—de-risking complex ML systems, scaling internal delivery mechanisms, and bridging the gap between state-of-the-art research and mission-critical production environments.

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 Haves

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 are a strong plus.

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. Coach and mentor junior TPMs to drive execution excellence across the broader organization.