Senior Technical Program Manager - AI Engineering Productivity

Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 10+ years of Technical Program Management or software engineering experience.
  • Experience driving large cross-functional technical initiatives.
  • Strong executive communication and stakeholder management skills.
  • Prior software engineering experience, including code evaluation and architecture discussions.
  • Familiarity with AI tools like GitHub Copilot, Jira, and ChatGPT.
  • Experience building metrics programs and engineering reporting systems.

Responsibilities

  • Lead AI-assisted development tool adoption and enablement programs.
  • Partner with engineering teams to boost developer efficiency and operational effectiveness.
  • Define and track key productivity metrics related to AI tools and workflows.
  • Develop dashboards for measuring productivity and AI usage trends.
  • Coordinate AI-assisted workflow initiatives and test automation.
  • Drive AI-enabled support and incident management workflows.
  • Establish governance for AI tool usage and cost management.

Benefits

  • Comprehensive suite of health and wellbeing benefits for employees and their families.
  • Career development programs to help achieve professional goals.
  • Commitment to unconditional inclusion, valuing diverse backgrounds.
  • Flexibility to manage work-life balance effectively.
Full Job Description
Senior Technical Program Manager - AI Engineering Productivity

This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Job Description:

We are seeking an experienced Senior Technical Program Manager - AI Engineering Productivity to drive AI-powered software development productivity initiatives across our engineering organization.

Reporting to the VP of Engineering, this role will focus on accelerating engineering efficiency through adoption of AI-assisted development tools, modern engineering workflows, and developer productivity platforms. The ideal candidate will partner closely with Development, QA, SRE, and Support teams to improve code delivery velocity, streamline engineering workflows, and drive measurable productivity gains across the software development lifecycle.

This highly visible role will lead cross-functional AI initiatives, drive organization-wide adoption of AI tooling, develop engineering productivity metrics and dashboards, and provide regular executive updates on roadmap progress, adoption trends, and business impact.

Responsibilities
  • Lead adoption and enablement programs for AI-assisted development tools including coding assistants, workflow automation, and developer productivity platforms.
  • Partner with engineering teams to improve developer efficiency, code delivery velocity, testing workflows, and operational effectiveness.
  • Define and track engineering productivity metrics including AI adoption, code acceptance rates, unit test generation, workflow efficiency, and token utilization.
  • Drive development of dashboards and reporting systems to measure engineering productivity and AI usage trends.
  • Coordinate AI-assisted workflow initiatives including test generation and engineering automation.
  • Drive AI-assisted support and incident management workflows, including agent-based Jira enrichment, runbook automation, log diagnostics, and RCA acceleration for customer-reported issues and alerting events.
  • Establish and enforce AI tool usage governance, including cost management, token budget policies, usage anomaly detection, and guardrails against underutilization and token abuse across engineering teams.
  • Organize best-practice sessions, brown bag trainings, and enablement programs to improve effective AI tool usage across engineering teams.
  • Provide executive-level reporting on adoption trends, productivity improvements, roadmap progress, and optimization opportunities.


Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related technical field.
  • 10+ years of Technical Program Management or related experience in software engineering environments.
  • Experience driving large cross-functional technical initiatives across engineering organizations.
  • Strong executive communication and stakeholder management skills.
  • Prior software engineering experience, with the ability to read, evaluate, and discuss code, AI-generated outputs, and technical architecture decisions.
  • Experience with tools such as GitHub Copilot, Claude, ChatGPT, Jira, GitHub, and MCP integrations.
  • Experience building productivity dashboards, metrics programs, and engineering reporting systems.


Preferred Qualifications
  • Understanding of developer workflows, CI/CD concepts, engineering operations, and software delivery processes.
  • Familiarity with agentic AI architectures, multi-agent orchestration, and MCP-based tool integrations for developer and SRE workflow automation.
  • Working knowledge of large language models, prompt engineering principles, model evaluation, and AI cost management or LLM procurement.


Desired Characteristics
  • Passion for improving developer productivity through AI and automation.
  • Strong technical curiosity and data-driven mindset.
  • Ability to influence teams and drive adoption without direct authority.
  • Comfortable operating amid ambiguity in fast-moving AI tooling environments, where standards, models, and best practices evolve rapidly.


What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:



#unitedstates

Job:
Engineering
Job Level:
TCP_05

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 153,500 - 310,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

About Hewlett Packard Enterprise Development LP

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