Six Figure Work

Principal Technical Program Manager

Hayden AI

Company websitehayden.ai (Hayden AI, opens in new tab)

Base salary $213,743  to $277,866

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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

The 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

Source: Hayden AI on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($213,743) is above 67% of the 1,470 Data & ML roles in California listed on this site; 1 other lists the same floor. Their median floor is $190,000; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Hayden AI roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Hayden AI roles with the nearest advertised base floor
RolePublished base
Principal Technical Program Manager (this listing)$213,743 - $277,866
Principal Technical Program Manager, Hardware$213,743 - $277,866
Chief of Staff$212K - $276K
Engineering Manager, Cloud Infrastructure$223K - $290K
Manager, Electrical Engineering$201,025 - $236,500
Senior State Estimation Engineer$200,454 - $260,590
Staff Deep Learning Engineer$230,522 - $299,679

Same $100K to $400K scale as every card. All Hayden AI roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-04-15
Where this pay comes from

Location as the employer wrote it: San Francisco HQ Office

USD 213,743 – 277,866 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.