AI-First Product Manager for Internal Agents

tldr

United States

On-site

USD 180,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Team offsites
Flexible PTO
Health benefits
401(k)
Parental leave
Home office stipend
Learning stipend

Job summary

TLDR is seeking a product manager to reimagine how the company runs in an AI-native world, turning human-in-the-loop processes into reliable agent-based workflows. You will partner with engineers to drive an increasingly self-deploying software factory and align with Strategy & Ops on the agentic version of processes.

You have 3+ years in product management and hands-on experience with AI-native products. Nice-to-have experience with internal process productization and dealing with high-volume

Qualifications

  • 3+ years as a product manager.
  • Hands-on experience building AI-native products or workflows: you've shipped something real with LLMs or agents, not sat next to a team that did.
  • Nice to have: productizing internal processes, running high-volume multi-stakeholder intake, or working close to GTM.

Responsibilities

  • Reimagine how our company should run in an AI-native world.
  • Take human-in-the-loop processes and reimplement them as agents that are reliable enough to be teammates.
  • Partner with engineers on our software factory so specs increasingly self-deploy.
  • Hold the seam with our Strategy & Ops team: they own what a process needs to do today, you own what its agentic version looks like.

Skills

Product management
AI-native products
Productizing processes
Stakeholder management

Job description

TLDR is seeking a product manager to reimagine how the company runs in an AI-native world, turning human-in-the-loop processes into reliable agent-based workflows. You will partner with engineers to drive an increasingly self-deploying software factory and align with Strategy & Ops on the agentic version of processes.

You have 3+ years in product management and hands-on experience with AI-native products. Nice-to-have experience with internal process productization and dealing with high-volume

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