Technical Program Manager - LO\S

Role Overview

You will serve as a Technical Program Manager (LO/S) at the center of a high-impact, AI-driven product ecosystem. The role orchestrates delivery of a complex, multi-disciplinary platform across engineering, product, design, machine learning, data science, and operations. You translate ambiguity into actionable plans and keep multiple workstreams synchronized through a clear operating rhythm.

Responsibilities

• Own and drive end-to-end program execution for large-scale AI-powered product initiatives.
• Maintain a master program plan with timelines, milestones, and dependencies; ensure delivery visibility across workstreams.
• Identify, track, and proactively resolve cross-functional blockers, risks, and dependency conflicts.
• Build and evolve lightweight delivery systems, rituals, and tooling conventions to improve coordination.
• Partner with product and engineering leadership on release planning and alignment to strategic priorities.
• Manage communication flow and ensure transparency, clarity, and timely escalation of risks.
• Continuously adjust plans to changing requirements while preserving momentum and accuracy.
• Foster a culture of accountability, visibility, and operational discipline across distributed teams.

Requirements

• Strong experience delivering complex technical programs in software environments; manage multiple distributed teams and interdependent workstreams.
• 7+ years in technical program management or equivalent engineering-driven roles.
• Deep understanding of software development practices; ability to engage in technical discussions (architecture, APIs, infrastructure, system design).
• Proven ability to build and scale program structures, workflows, and coordination mechanisms in ambiguous/fast-changing environments.
• Experience with delivery/tracking tools such as Linear and Jira (or equivalent).
• Strong stakeholder management and communication; influence cross-functionally without direct authority.
• Highly organized and proactive; comfortable in high-complexity, high-velocity settings.

Nice to Have

• Experience working with ML/AI or LLM-enabled products, especially where research and production delivery intersect.

Benefits

• Competitive salary aligned with experience and market benchmarks.
• Comprehensive medical, dental, and vision insurance.
• Flexible work environment for distributed/remote collaboration.
• Paid parental leave and family-support programs.
• Short- and long-term disability coverage.
• Competitive PTO and paid holidays.
• Professional growth, mentorship, and leadership exposure.