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Hayden AI
Posted 172 days agoVerified live 9h ago

Principal Technical Program Manager

Brief overview

San Francisco HQ OfficeIn-person
UndergradOr in progress
12+ yrsMinimum
28 H-1B approvalsDept. of Labor
2 green cardsCertified filings
Portfolio governanceBusiness-engineering translationExecutive reportingCapacity planningDemand managementCross-functional program deliveryExecutive communicationRisk identification and mitigationStrategic prioritization

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
28H-1B approved
100%approval rate
9new H-1B hires
2PERM certified
$187,574median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20238
20246
202512
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20256
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20251
Top sponsored roles
Senior Computer Vision EngineerSenior Embedded Software Engineer, ValidationSenior State Estimation EngineerChief Technology OfficerStaff Estimation Engineer
Sponsored employees from
China

Job description

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 involvesThe Principal Technical Program Manager will own cross-functional visibility and delivery accountability across Hayden’s full engineering and business portfolio. Working directly with executive leadership and business partners across Engineering, Growth, Finance, and Operations, this role translates competing business commitments into a coherent, executable plan, holding the line when capacity and demand diverge. They operate across the full technical stack: hardware, embedded software, edge AI, cloud, computer vision, fleet systems, and government deployment - fluent enough in each domain to surface the right risks and drive the right conversations.

Responsibilities:

  • Portfolio Governance: Own the company-level program portfolio — maintaining a single source of truth for commitments, capacity, dependencies, and status across all active lines of work.

  • Business-Engineering Translation: Serve as the primary interface between executive leadership and engineering teams, translating business commitments (contracts, growth targets, customer deployments) into engineering capacity plans and surfacing tradeoffs before they become misses.

  • Executive Reporting: Design and maintain the dashboards, cadences, and reporting frameworks that give the senior leadership clear, accurate visibility into portfolio health without noise.

  • Capacity Planning & Demand Management: Partner with engineering leads across Hardware, Perception, Platform/Cloud, and Eng Ops to maintain a real-time view of capacity versus committed demand, and drive prioritization decisions when they conflict.

  • Cross-Functional Program Delivery: Drive end-to-end delivery of strategic programs that span multiple engineering pillars and business functions, including customer-facing deployments, new product launches, and operational scaling initiatives.

Required Qualifications:

  • B.S., M.S., or Ph.D. in an engineering discipline

  • 12+ years in Technical Program Management, Engineering Program Management, or a related role

  • Demonstrated track record managing a portfolio of concurrent, cross-functional programs in a fast-moving environment

  • Experience navigating business-engineering tension: translating contracts, revenue commitments, or customer obligations into engineering capacity and sequencing decisions

  • Technical fluency across multiple domains — enough to engage credibly with hardware, embedded, cloud, and AI engineering teams without domain specialists present

  • Strong executive communication skills: structured, direct, and able to distill complex program status into clear decisions

Preferred Qualifications

  • Experience with on-vehicle, edge-deployed, or ruggedized systems (hardware, embedded, edge AI)

  • Background in computer vision, autonomous systems, robotics, or AI/ML programs

  • Experience delivering technology to government or municipal clients (procurement cycles, compliance requirements, deployment constraints)

  • Familiarity with fleet management, secure transaction systems, or sensor hardware platforms

  • Experience in a high-growth startup or scale-up environment where process didn’t exist before you built it

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