Remote

Director, Product Management - AI Inference Platform

Remote Posted Jul 14, 2026 0 views

Compensation

Compensation not disclosed

This employer didn't list pay. Model a likely range with the calculator.

Model this offer in the calculator

Job description

ArmJobs
Director Product Management - AI Inference Platform

Director Product Management - AI Inference Platform

Reposted 16 Hours Ago
Be an Early Applicant
San Jose CA USA
Hybrid
260K-352K Annually
Senior level
Artificial Intelligence • Internet of Things • Semiconductor
Build What the World Depends On
The Role
Lead strategy and execution for a next-generation AI inference platform: define roadmap drive inference architecture and orchestration enable hardware-software co-design own control plane services and KPIs and align cross-functional teams to improve latency throughput and cost efficiency.
Summary Generated by Built In
The future isn't just about technology - it's about people and the limitless possibilities AI can unlock for us all. As AI transforms how we live work and connect Arm is at its very foundation powering the innovations that are shaping our world.
Arm's Cloud AI team is building next-generation platforms to power the AI workloads of tomorrow and we're growing our product management organization to help guide this journey. This is an opportunity to help shape the product direction of a major strategic investment while also helping build a new team and culture.
About the Role
We are seeking a Director / Principal Product Manager to lead the strategy and execution of a next-generation AI Inference Platform. This role sits at the intersection of hardware and software defining how modern AI models are executed served and optimized at scale across distributed compute environments.
You will own the core platform stack-driving innovation in performance efficiency and scalability while partnering closely with engineering research and infrastructure teams to deliver world-class AI systems.
Responsibilities:
  • Define and drive the product vision strategy and roadmap for large-scale AI inference systems
  • Own product direction across compute execution inference serving and control plane systems
  • Drive inference architecture and orchestration strategy including distributed serving routing batching and scheduling
  • Define capabilities for KV cache management memory optimization and token lifecycle efficiency (prefill vs decode)
  • Partner with engineering to enable hardware-software co-design improving performance across accelerators and interconnects
  • Shape the development of inference platform capabilities that deliver measurable gains in latency throughput and cost efficiency
  • Own and evolve control plane services (APIs policy engines context/state management usage/accounting)
  • Translate complex technical systems into clear product value and customer impact
  • Align multi-functional collaborators across infrastructure research and product organizations
  • Define and track key performance metrics (P99 latency TTFT throughput cost per inference/token availability)
  • Influence platform direction across constantly evolving AI workloads (LLMs multimodal agentic systems)

Required Skills and Experience :
  • Proven experience in product management within AI/ML infrastructure cloud platforms or distributed systems
  • Deep understanding of AI inference systems and large-scale serving architectures
  • Solid understanding of LLM inference concepts (prefill vs decode KV cache token streaming)
  • Demonstrated ability to deliver scalable high-performance platform products
  • Strong technical expertise and ability to collaborate directly with engineering teams

"Nice To Have" Skills and Experience :
  • Experience with accelerator-based systems and performance optimization
  • Familiarity with modern inference frameworks (e.g. TensorRT-LLM vLLM)
  • Experience working on production-scale AI systems

Why Join Arm?
You will play a critical role in shaping the future of AI infrastructure-defining how next-generation models are deployed optimized and scaled efficiently. This is an opportunity to work at the forefront of AI systems solving complex challenges at the intersection of performance scalability and usability.
Salary Range:
$260000-$351800 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 [email protected] . 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.

Skills Required

  • Experience in product management within AI/ML infrastructure cloud platforms or distributed systems.
  • Deep understanding of AI inference systems and large-scale serving architectures.
  • Solid understanding of LLM inference concepts (prefill vs decode KV cache token streaming).
  • Demonstrated ability to deliver scalable high-performance platform products.
  • Strong technical expertise and ability to collaborate directly with engineering teams.
  • Experience with accelerator-based systems and performance optimization.
  • Familiarity with modern inference frameworks (e.g. TensorRT-LLM vLLM).
  • Experience working on production-scale AI systems.

Arm Compensation & Benefits Highlights

  • Leave & Time Off BreadthPolicies include generous paid time off in the U.S. (20 days from hire rising to 25 by year five with an option to buy extra) and a fully paid four‑week sabbatical after four years. Additional recharge time via quarterly “Days of Care” and paid volunteering is also highlighted.
  • Equity Value & AccessibilityEquity is positioned as a core part of total rewards with broad‑based RSUs and a companywide ESPP adopted in 2024 and confirmed in filings. This setup enables broad employee participation in company performance alongside base pay and bonus.
  • Parental & Family SupportEnhanced maternity and paternity support with paid parental bonding time are emphasized and tailored by country. Family supports such as childcare and eldercare resources and a post‑parental leave return‑to‑work program are also referenced.

Arm Insights

Am I A Good Fit?
beta
Expert contributor network
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Cambridge England
8314 Employees
Year Founded: 1990

What We Do

We bring brilliant people together in a global ecosystem that is sparking the world’s potential. Arm technology enables specialized processing built on the economics design freedom and accessibility of general-purpose compute that has so far led to more than 180 billion chips being shipped by our partners.

Why Work With Us

At Arm we build the future of computing powering everything from smartphones to AI. Our 10x mindset drives bold thinking and deep collaboration to solve complex problems together. With a people first culture flexible work and strong support for growth and wellbeing your ideas can make a global impact while your career thrives.

Gallery

Arm Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
HQCambridge UK
Galway Ireland
Budapest Hungary
Sophia Antipolis France
Ra'anana Israel
Bengaluru India
Noida India
Yokohama Japan
Seoul South Korea
Hsinchu Taiwan
Taipei Taiwan
Munich Germany
Austin TX
Bristol UK
Chandler AZ
Raleigh NC
Lund Sweden
Manchester England
Oslo Norway
San Diego CA
San Jose CA
Sheffield UK
Trondheim Norway
Boston MA
Learn more

Similar Jobs

Arm

Team Lead

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
3 Locations
8314 Employees
243K-314K Annually

Arm

Principal Field Applications Engineering Silicon

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
2 Locations
8314 Employees
263K-355K Annually

Arm

Director Applications Engineering Silicon

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
2 Locations
8314 Employees
323K-437K Annually

Arm

Director Product Management Android/Linux Platform

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
San Jose CA USA
8314 Employees
263K-355K Annually

Related roles

Similar jobs