Junior Technical Program Manager

EPAM Systems•Sunnyvale, CA

About The Position

The Junior Technical Program Manager coordinates software and AI initiatives from initial requirements through release. The role works alongside experienced program managers and technical leads to support cross-functional delivery, turn discussions into clear action plans, and gradually take ownership of smaller projects and workstreams.

Requirements

  • Foundational knowledge of project management principles, including PMBOK concepts such as scope, schedule, risk, stakeholder, and change management.
  • Understanding of agile principles, scrum practices, and kanban fundamentals, including when different approaches may be useful.
  • Solid understanding of the software development lifecycle (SDLC) and the roles of development, testing, deployment, and ongoing operations.
  • Foundational knowledge of AI and generative AI, including LLMs, prompting, and common application patterns; practical experience using AI tools and the ability to critically assess their outputs.
  • Ability to follow technical discussions, ask clarifying questions, and communicate progress and issues effectively to diverse audiences.
  • Strong written communication, organization, and attention to detail.
  • Evidence of coordinating work toward a shared outcome through employment, internships, academic projects, or volunteering.

Responsibilities

  • Help translate project goals into scope, deliverables, milestones, and actionable plans; maintain project plans, decision logs, risk and issue registers, and concise status updates.
  • Coordinate work across engineering, product, QA, and other teams, keeping owners, dependencies, testing, release readiness, documentation, and handover activities clear.
  • Track delivery progress, identify blockers, and escalate risks early with relevant context and potential next steps.
  • Support backlog refinement, sprint planning, reviews, and retrospectives in partnership with team leads using agile, scrum, and kanban practices.
  • Help clarify requirements and acceptance criteria, surface open questions, and track changes to scope or priorities.
  • Support AI delivery activities, including tracking data and integration dependencies, evaluation milestones, privacy and security reviews, and basic delivery and quality metrics.
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