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Hayden AI

Staff Engineering Program Manager, Hardware

Sorry, this job was removed at 10:06 p.m. (PST) on Tuesday, Oct 07, 2025
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In-Office
San Francisco, CA
193K-227K Annually
In-Office
San Francisco, CA
193K-227K Annually

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About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

What the job involves

Hayden AI is looking for a Senior Engineering Program Manager to own the full hardware product lifecycle from concept to end-of-life. This role will work across engineering, product management, business, and operations to plan and execute programs to deliver Hayden AI’s class leading perception platform. In this role they will lead a multi-disciplinary effort across electrical, mechanical, industrial, compliance, validation, manufacturing, and operations to meet product and business objectives

Responsibilities
  • Own and drive new hardware development from concept through launch, production, deployment, and end of life

  • Plan new hardware development articulating product requirements and expectations

  • Lead cross-functional execution across electrical, mechanical, industrial design, compliance, validation, manufacturing, and operations

  • Define and manage program plans, risks, and timelines with clear communication across stakeholders

  • Drive critical validation and system-level performance testing for both hardware and features

  • Coordinate with operations and customer teams for installation, service, and support

  • Manage hardware field issues, escalations, and continuous improvement

  • Oversee hardware product documentation and manage and coordinate hardware compliance

Qualifications
  • B.S. in an engineering discipline.

  • 7-10+ years experience in Engineering Program Management or Technical Program Management.

  • Experience leading the development and launch of at least 3 new hardware products into production. 

  • Strong technical background in hardware, device software, cloud development, and computer vision, with a solid understanding of engineering principles, processes, and best practices.

  • Experience working closely with multidisciplinary technical teams to drive fast paced delivery of critical products and functionality.

  • Deep knowledge of tools and techniques for managing complex product development through its entire lifecycle. 

  • Experience delivering innovative technologies to government agencies is a plus.

HQ

Hayden AI San Francisco, California, USA Office

460 Bryant Street, San Francisco, CA, United States, 94107

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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