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Staff Product Manager, Edge AI

ARM

Staff Product Manager, Edge AI

ARM

seattle

·

On-site

·

Full-time

·

2w ago

Compensation

$164,700 - $222,900

Benefits & Perks

Flexible Hours

Flexible Hours

Required Skills

Product Management

ML Inference

Edge Computing

Leadership

Job Overview:

We are seeking a Product Manager to define and drive Arm's Edge AI Application Developer Platform - the software foundation that enables developers to build, deploy, and scale AI-powered applications on Arm-based edge devices. This role leads the end-to-end developer experience, spanning application pipelines, AI services, tooling, and deployment workflows, with a focus on guiding developers from prototype to production across complex, heterogeneous edge systems.

Sitting at the intersection of AI, edge computing, developer tooling, and platform software, this is a highly strategic role with direct impact on Arm's long-term edge AI software adoption.

Responsibilities:

  • Define and lead the product vision and roadmap for Arm's Edge AI Application Developer Platform, balancing near-term developer adoption with long-term scalability across heterogeneous edge systems.
  • Lead the end-to-end developer experience—from first application to production-grade edge AI deployment—designing intuitive workflows that support understanding, customization, debugging, profiling, and extension of AI applications.
  • Partner with engineering, applied science, and architecture teams to translate platform strategy into shipped software, prioritizing pipelines, runtimes, SDKs, CLIs, and optimization tooling, and delivering measurable performance and adoption outcomes.
  • Shape platform abstractions and integration across application pipelines, AI services, and tooling, ensuring consistency, usability, and performance across developer environments.
  • Act as the voice of developers and ecosystem partners, engaging customers, influencing cross-functional and executive partners, and ensuring feedback advises product direction and go-to-market alignment.

Required Skills and Experience :

  • 8+ years of product management experience delivering developer-focused or platform products, supported by a technical degree in computer science, engineering, or a related field.
  • Strong understanding of ML inference and optimization for edge environments, including CPU/memory constraints, latency, power, and thermal considerations, with familiarity across ML frameworks and optimization toolchains (e.g., Py Torch, Tensor Flow, ONNX, TFLite).
  • Ability to operate across hardware, software, and developer tooling boundaries, with excellent communication and leadership skills to influence technical, business, and go-to-market stakeholders.

"Nice To Have" Skills and Experience :

  • Experience with computer vision, multimedia pipelines, or edge AI applications.
  • Familiarity with containerized development workflows and modern DevOps-style tooling.
  • Background working with developer communities or open-source ecosystems.

Salary Range:

$164,700-$222,900 per year We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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About ARM

ARM

ARM

Public

The future is built on Arm.

5,001-10,000

Employees

Cambridge

Headquarters

Reviews

3.3

4 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.5

Career

1.5

Management

1.0

15%

Recommend to a Friend

Pros

Good coworkers and team support

Opportunity for significant contributions

Support from other managers

Cons

Lack of compassion during personal emergencies

Poor management decisions and leadership

Workplace safety issues

Salary Ranges

4,822 data points

M3

M4

M5

M6

M3 · Technical Program Manager M3

0 reports

$232,564

total / year

Base

$93,026

Stock

$116,282

Bonus

$23,256

$162,795

$302,333

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Recruiter Phone Screen

4

Technical Interview

5

Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

AI/ML Concepts

Past Experience

Culture Fit