AI Engineer creating the world's first viral agent for influencer marketing using advanced AI technologies. Driving influencer marketing strategies for record labels and brands with innovative tools.
About the role
- Senior Product Manager owning the vision and execution for HP's Edge AI Platform. Leading cross-functional teams to deliver secure and operational AI applications at scale.
Responsibilities
- 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
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