AI Program Manager, Temporary

HME Careers•Carlsbad, CA

20h

About The Position

HME is seeking a contractor Program Manager to help accelerate Engineering’s transition to Spec-Based AI Development. This role will partner closely with Engineering leadership, AI Center of Excellence stakeholders, and product development teams to operationalize AI coding standards, approved tools, review practices, training materials, reusable specifications, playbooks, and adoption tracking. The ideal candidate is a highly organized technical program manager with experience supporting software engineering teams, change management initiatives, AI-enabled development practices, and cross-functional execution. This role will help turn AI development strategy into practical, repeatable operating practices that improve engineering speed, quality, consistency, and measurable business impact.

Requirements

5+ years of experience in program management, technical program management, engineering operations, product operations, or a related role.
Experience working with software engineering teams and technical stakeholders.
Strong understanding of software development lifecycle practices, including requirements definition, technical design, code review, testing, and release readiness.
Demonstrated ability to drive cross-functional initiatives from planning through execution.
Strong written communication skills, including the ability to create clear templates, playbooks, status updates, and stakeholder-facing materials.
Experience coordinating training, enablement, or change management initiatives.
Ability to translate strategic goals into practical operating processes and measurable outcomes.
Strong organizational skills with the ability to manage multiple workstreams, stakeholders, and deliverables in parallel.

Nice To Haves

Experience with AI-assisted software development, AI coding tools, prompt/spec-driven development, or engineering productivity initiatives.
Familiarity with AI governance, responsible AI practices, risk controls, and tool approval processes.
Experience creating engineering templates, technical documentation, internal playbooks, or development standards.
Experience defining dashboards or performance metrics related to engineering productivity, quality, adoption, or ROI.
Background working with distributed engineering teams or multiple product areas.
Experience with DevOps, automated testing, static analysis, security scanning, or build validation processes.

Responsibilities

Coordinate the rollout of established AI coding standards, approved tools, review practices, and governance expectations across Engineering teams.
Partner with AI / Engineering leadership to support consistent oversight, risk controls, and adoption of AI-enabled development practices.
Drive creation and standardization of reusable templates for product specifications, technical design, task decomposition, and acceptance criteria.
Support development of internal playbooks, training materials, examples, and enablement resources for engineering teams.
Identify training needs and coordinate delivery of enablement activities, including office hours, guild-style forums, and practical team support.
Help expand adoption of Spec-Based AI Development across teams.
Partner with Engineering teams to define and track adoption metrics, productivity gains, cycle-time improvements, quality signals, rework, test coverage, and other ROI indicators.
Coordinate activities related to automation improvements, including automated tests, build validation, static analysis, security scans, and regression gates, as applicable.
Maintain project plans, action trackers, stakeholder communications, status updates, and escalation paths to ensure the transition progresses quickly and consistently.
Surface risks, dependencies, and adoption barriers; recommend practical solutions to improve execution and team engagement.