Senior Technical Program Manager, AI / Agent Systems

Replit•Foster City, CA

1d•Onsite

About The Position

We're looking for a senior, deeply technical TPM to own delivery of Replit's highest-stakes, most complex programs—starting with our evergreen Agent roadmaps. This is an IC role for someone who has previously been an engineering manager or senior engineer, can operate comfortably in AI/LLM-heavy systems, and brings order, momentum, and sharp decision-making to cross-team ambiguity. The ideal candidate uses AI and automation aggressively to scale themselves, but understands that the core value is clarity, tradeoffs, and execution, not just tooling.

Requirements

7+ years of TPM experience (or equivalent) with a track record of leading complex, high-impact programs
Deep technical fluency in systems like distributed architecture, infrastructure, platform engineering, or AI/ML
Clear, direct communication style with strong decision-making skills
Thrives in ambiguity and can drive progress independently—this is a high-impact IC role, not the foundation of a TPM organization

Nice To Haves

Background as an engineering manager or senior engineer
Experience leveraging AI tools, agents, or automation to increase execution velocity—we'd love to hear specific examples
Values clarity and momentum over process for process's sake
You've led programs for AI/ML or agent-based systems
You've brought structure and accountability to cross-functional initiatives in fast-paced environments
You have a portfolio of ways you've used automation or tooling to scale your impact as a program manager

Responsibilities

Own end-to-end delivery of Replit's most complex, cross-functional programs, with Agent development as the primary, evergreen focus
Drive execution across Product, Eng, Research, GTM, and Leadership—surfacing dependencies, risks, and disagreements early
Operate as the technical glue between teams: able to follow architecture decisions, challenge assumptions, and translate tradeoffs without slowing velocity
Establish and run program operating cadence (milestones, reviews, decision logs, retros) for long-running bets
Use AI, automation, and agent workflows to scale program management (status synthesis, risk detection, incident follow-ups, guardrails, retros)
Take on additional high-stakes programs as needed (e.g. Enterprise initiatives, external integrations, priority conflicts)
Partner closely with EMs and PMs without duplicating their roles—this role exists where ownership is otherwise fragmented