Jobs / United States / Axon Enterprise INC

Axon Enterprise INC

Senior Technical Program Manager II - AI

Washington, United States Posted today

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Skills this job asks for

Product managementMachine learningLeadershipMicroservicesAWSAzureGoogle CloudTranslationPythonTriage

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Axon Enterprise INC paid sponsored hires in similar roles3 certified filings for “Sr Engineering Program Manager I” (Architectural and Engineering Managers) in AZ: $130k–$170k, median $138k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 117 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Axon Enterprise INC paid sponsored hires in similar roles
3 certified filings for “Sr Engineering Program Manager I” (Architectural and Engineering Managers) in AZ: $130k–$170k, median $138k. Most were filed at wage level I (67%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

Join Axon and be a Force for Good. At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. About the Role 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. Key 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. Basic Qualifications • Education: Bachelor’s Degree in Computer Science, Engineering, Mathematics, Physics, or a related highly technical field. • Core TPM Experience: 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. • Machine Learning Track Record: 5+ years of dedicated experience managing complex machine learning programs from concept to production delivery. • Cloud & Platform Mastery: Demonstrated expertise with ML platforms and cloud model deployment on AWS, Microsoft Azure, or Google Cloud Platform. • Technical Communication: Proven ability to author clear, high-quality technical specifications and architectural documentation for complex, multi-tiered systems. • Ambiguity & Execution: Proven track record of translating highly ambiguous product requirements into structured delivery plans while managing competing priorities in a fast-paced environment. Preferred Qualifications • Advanced Degree: Master’s or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative discipline. • Hands-on Technical Depth: Background as a former ML researc

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