Own end‑to‑end outcomes by driving cross‑functional alignment across engineering, GTM, and operations teams to ensure coordinated delivery of Edge AI solutions.
Define the vision, strategy, and roadmap for an Edge AI platform layer that enables development, deployment, and operation of AI applications on edge devices.
Define platform capabilities that enable safe, reliable deployment and fleet-scale operations across heterogeneous hardware, accounting for real ‑ world constraints.
Define platform ‑ level security, trust, and compliance requirements for AI software running on edge devices.
Drive requirements for operability, reliability, and maintainability of edge deployments, including monitoring, recovery, and lifecycle management.
Communicate platform feature prioritization, timelines, and acceptance criteria to engineering teams to ensure timely and high‑quality delivery.
Collaborate with hardware and firmware teams to ensure platform software effectively leverages device capabilities without tightly coupling to specific implementations.
Work closely with ISVs, customers, and partners to validate platform interfaces and operational workflows, improving time ‑ to ‑ value and adoption.
Align cross ‑ functional teams (hardware, software, security, sales, marketing) around shared platform priorities and delivery milestones.
Define and track success metrics related to adoption, reliability, usability, and overall platform impact.

Requirements

Proven experience (10+ years) in software or platform product management, including ownership of developer platforms, infrastructure software, or edge/embedded systems.
Experience working with edge or distributed systems, including devices, fleets, or on‑prem deployments.
Familiarity with AI inference runtimes, GPU‑accelerated workloads, or real‑time pipelines (video, perception, or low‑latency inference).
Working knowledge of security concepts such as artifact signing, secure boot, attestation, or isolation (containers, sandboxing).
Experience working with Python‑based ecosystems and developer tooling.
Familiarity with cloud and hybrid environments as they relate to edge management, registries, and device connectivity.
Exceptional analytical and problem-solving skills, with a data-driven approach to decision-making.
Exceptional communication and interpersonal skills, with the capacity to engage effectively with diverse teams and articulate ideas at the executive level.
Demonstrated ability to lead and influence cross-functional teams without direct authority.
Familiarity with agile development methodologies and project management processes.
Prior experience with artificial intelligence, machine learning, or deep learning.
Prior experience in enterprise solutions development

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software product managementplatform product managementedge AI solutionsAI inference runtimesGPU-accelerated workloadsPythonsecurity conceptsagile development methodologiesartificial intelligencemachine learning

Soft Skills

analytical skillsproblem-solving skillscommunication skillsinterpersonal skillsleadershipinfluencecollaborationdata-driven decision-makingengagement with diverse teamsarticulation of ideas