Senior Technical Program Manager II - AI

Posted 2 Hours Ago
Be an Early Applicant
Washington, DC, USA
Hybrid
148K-236K Annually
Senior level
Artificial Intelligence • Cloud • Social Impact • Software • Wearables
Axon is the global leader of connected public safety technologies, including hardware, software and training.
The Role
Lead cross-functional AI programs from research and data acquisition through model development, cloud or edge deployment, evaluation, and optimization. Coordinate AI researchers, engineers, product managers, and executives; manage roadmaps, dependencies, metrics, risks, governance, vendors, and technical documentation. Oversee generative AI, video search, automated redaction, and edge vision initiatives while improving delivery mechanisms, AI literacy, and TPM execution across the organization.
Summary Generated by Built In
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 researcher, engineer, or engineering manager. Ability to write Python scripts to evaluate, benchmark, or triage ML model performance.
  • IoT & Edge AI Experience: Direct experience deploying ML/CV models on-device (IoT/Edge) under strict power, compute, memory, and latency constraints.
  • Ecosystem Expertise: Fluency with modern Deep Learning/LLM frameworks, third-party ML platforms, continuous learning loops, and AutoML systems.
  • Ethical AI & Industry Presence: Deep understanding of AI safety, ethics, and model fairness. Public speaking, publications, or active contributions to the ML community are a strong plus.
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
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work. 

Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

#LI-Hybrid

Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.

Base Pay Range
$147,675$236,280 USD

Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at [email protected] or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email [email protected].  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to [email protected].


Skills Required

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or a related highly technical field
  • 7+ years of experience in a software development organization building large-scale distributed systems as a Technical Program Manager, Technical Lead, Product Manager, or Engineering Manager
  • 5+ years of experience managing complex machine learning programs from concept through production delivery
  • Expertise with machine learning platforms and cloud model deployment on AWS, Microsoft Azure, or Google Cloud Platform
  • Ability to author technical specifications and architectural documentation for complex, multi-tiered systems
  • Experience translating ambiguous product requirements into structured delivery plans while managing competing priorities
  • Master's or Ph.D. in Computer Science, Artificial Intelligence, Electrical Engineering, or a related quantitative discipline
  • Background as an ML researcher, engineer, or engineering manager
  • Ability to write Python scripts to evaluate, benchmark, or triage ML model performance
  • Experience deploying machine learning or computer vision models on IoT or edge devices under power, compute, memory, and latency constraints
  • Fluency with deep learning and large language model frameworks, third-party ML platforms, continuous learning loops, and AutoML systems
  • Understanding of AI safety, ethics, and model fairness
  • Public speaking, publications, or active contributions to the machine learning community

Axon Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Axon and has not been reviewed or approved by Axon.

  • Healthcare Strength Health coverage includes comprehensive medical, dental, and vision plans with employer HSA contributions and 24/7 mental-health support. Wellness programs and fitness options further enhance the package.
  • Equity Value & Accessibility Total rewards commonly include stock grants and an employee stock purchase plan alongside base pay and bonuses. Equity is highlighted as a motivating component of compensation.
  • Parental & Family Support Paid parental leave is offered, including a standard period with additional supplemental pregnancy leave. Family-focused policies are positioned as a meaningful part of the overall benefits.

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The Company
HQ: Scottsdale, AZ
2,700 Employees
Year Founded: 1993

What We Do

Our mission is to protect life by making the bullet obsolete and developing technologies to make the world a safer place. Axon is a software & hardware team of product experts, security pros, engineering wizards, sales & marketing pros, and technology buffs - all committed to helping make the world a safer place.

Why Work With Us

Axon innovations exist to bridge the divide between communities and law enforcement. Our team works to solve big societal issues by providing public safety with the tools to help decrease use-of-force and increase transparency and accountability. Big goals mean we need high-performance teams, independent thinking, and cross-functional excellence.

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