Product Manager, Applied AI

Who We Are

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Product

TLDR’s mission is to increase tech's signal-to-noise ratio.

Today that means the largest network of tech newsletters in the world, with over 8M subscribers covering startups, software engineering, AI, cybersecurity, product, and more. What makes it work is who writes it. Every issue comes from people building in tech, not reporters covering it. Our writers keep their day jobs: two engineers at Coinbase write TLDR Crypto, engineers at DeepMind and Meta write TLDR Dev, researchers at Anthropic and Adobe write TLDR AI, and robotics and datacenter strategy leads at OpenAI and Meta write TLDR Hardware.

If it matters in tech, it's in TLDR. That's what makes TLDR the best place to find what you need to learn.

Team

Our 31-person full-time team includes alumni of TikTok, Reddit, Amazon, Business Insider, Asana, Morning Brew, and Pinterest. We've stayed intentionally small, which means every person here owns a function rather than a slice of one.

Traction

We're bootstrapped, profitable, and on track for $35M in revenue this year - after $9M in 2024 and $20M in 2025. The advertisers who fund it want tech's decision-makers: AWS, Google Cloud, Anthropic, Slack, Notion, and GitHub.

About the Role

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TLDR's Applied AI team builds the agent-first operating layer the company runs on: the internal platform, skills, managed agents, and command centers used daily by every team at TLDR. Demand is compounding across every function, and today all triage and product judgment sits with one person.

*This is our first dedicated PM hire!*

In this role, you will

• Reimagine how our company should run in an AI-native world. The team's north star is to make sure that every process at the company improves as models improve.
• 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 s