Senior Technical Program Manager - QA & Dev Experience

HP

San Francisco (CA)

On-site

USD 115,000 - 188,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Long term/short term disability
Employee assistance program
Flexible spending account
Life insurance
Parental leave

Job summary

HP IQ is shaping the future of AI-powered experiences. We are seeking a Program Manager to drive QA processes, developer workflows, and engineering velocity across HP's AI product portfolio.

You will lead cross-functional programs, communicate with senior leadership, and ensure alignment across engineering, product, data science, and operations. A technical background in engineering or CS is preferred.

Qualifications

  • 2–5 years of program management experience.
  • Familiarity with software development processes and QA methodologies.
  • Strong communication, including reporting to senior leadership.
  • Demonstrated ability to drive cross‑functional programs from concept to delivery.
  • Comfort operating in fast-paced, ambiguous environments with multiple stakeholders.

Responsibilities

  • Drive end-to-end planning, execution, and delivery of QA and Developer Experience programs.
  • Build and maintain program roadmaps, milestones, and KPIs.
  • Identify risks, dependencies, and cross‑team impacts early.
  • Ensure alignment across engineering, QA, product, data science, and partner teams.
  • Prepare concise, executive updates and report program health.

Skills

Program management
Technical program management
Communication
Cross-functional collaboration
Agile

Education

Engineering/CS background

Tools

CI/CD tools
Automation frameworks
Developer tooling

Job description

HP IQ is shaping the future of AI-powered experiences. We are seeking a Program Manager to drive QA processes, developer workflows, and engineering velocity across HP's AI product portfolio.

You will lead cross-functional programs, communicate with senior leadership, and ensure alignment across engineering, product, data science, and operations. A technical background in engineering or CS is preferred.

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