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 Staff Technical Program Manager will lead planning and releases of complex programs end-to-end. This role will work across engineering, product management, business, and operations to drive strategy into roadmaps and plans that deliver critical work on time and at high quality. In this role they will lead a multi-disciplinary effort across hardware, device software, cloud, and perception through all stages of the product lifecycle.
Responsibilities:
Orchestrate end-to-end delivery of business critical, cross-functional engineering programs.
Manage releases across all Engineering domains including AI, firmware, cloud, and hardware.
Establish scalable systems and processes to manage the full product lifecycle—from concept through development, deployment, production, and ongoing iteration.
Design and implement scalable planning processes to support the rapid growth and increasing complexity of the engineering organization.
Align program execution with business priorities by driving accountability across engineering and non-engineering teams.
Drive cross-functional planning across engineering and business teams, ensuring alignment of product roadmaps, technical execution, and company strategy.
Improve forecasting accuracy, execution predictability, and organizational transparency through effective reporting and operational rigor.
Required Qualifications:
B.S. in an engineering discipline.
10+ years experience in Technical Program Management or Engineering Program Management.
Experience leading the development and launch of at least 3 new 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.
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