Senior Technical Program Manager, QA & Developer Experience

HP IQ•San Francisco, CA

19h•$115,000 - $188,000

About The Position

HP IQ is shaping the future of next‑generation experience for HP Customers, and we’re looking for a Program Manager who can help drive that mission. This role sits at the heart of how our teams build, validate, and deliver AI‑powered experiences with exceptional quality and developer efficiency. You’ll lead programs that strengthen QA processes, enhance developer workflows, and accelerate engineering velocity across HP’s AI product portfolio. Success in this role requires a blend of technical fluency, structured program leadership, and the ability to communicate clearly across—and up—the organization.

Requirements

2–5 years of experience in program management, technical program management, product operations, or a related role.
Familiarity with software development processes, QA methodologies, and developer tooling.
Strong communication skills, including the ability to report effectively to senior leadership.
Demonstrated experience driving cross‑functional programs from concept to delivery.
Ability to operate in fast‑paced, ambiguous environments with multiple stakeholders.

Nice To Haves

Experience with AI/ML products, data pipelines, or model evaluation workflows.
Understanding of CI/CD systems, automation frameworks, or developer productivity tools.
Background in engineering, computer science, or a technical discipline (or equivalent experience).
Experience working within large, distributed engineering organizations.

Responsibilities

Drive end‑to‑end planning, execution, and delivery of QA and Developer Experience programs within the HP IQ organization.
Build and maintain program roadmaps, milestones, and KPIs that align with organizational priorities.
Identify risks, dependencies, and cross‑team impacts early, and lead mitigation strategies.
Ensure consistent alignment across engineering, QA, product, data science, and partner teams.
Partner with QA and engineering teams to strengthen test strategies, automation frameworks, and release readiness processes.
Support initiatives that improve developer workflows, tooling, CI/CD pipelines, and overall engineering productivity.
Advocate for quality, reliability, and operational excellence across AI development lifecycles.
Facilitate clear, structured communication across multiple teams and disciplines.
Translate technical details into actionable plans and stakeholder‑friendly updates.
Build strong relationships across engineering, product management, design, and operations.
Prepare and deliver concise, data‑driven program updates for senior leadership.
Communicate risks, progress, and strategic recommendations in a clear, executive-ready format.
Ensure visibility into program health, resource needs, and cross‑team dependencies at all levels of the organization.
Understand core concepts related to AI systems, software development, testing, and infrastructure.
Analyze data, metrics, and feedback to inform program decisions and continuous improvement.
Contribute to requirements gathering, feature scoping, and process design.