Product Manager, Applied AI

🏔Product: TLDR exists to increase tech's signal-to-noise ratio. Where we're going: to be tech's intellectual Schelling point - where the future starts its day.

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 30-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.

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 go-to-market, ops, and leadership. 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:

• Triage every incoming request: investigate it down to the underlying problem, shape it into a build-ready spec, and route it.

• Redesign today's business processes into their productized, agentic form.

• Own the roadmap and lifecycle of internal surfaces like team command centers, including how changes get communicated back to the teams that depend on them.

• Partner with our auto-PM and auto-engineer tooling 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.
  

• More of the company's work runs through the agentic path than through manual process, and requests go from filed to live and adopted faster than they do today.

• Function leaders bring requests straight to you, and the Head of Applied AI is out of the triage and spec-writing business entirely.
  

• 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.
  

• You're at home in ambiguity and prefer owning a whole problem to executing a defined roadmap.

• You have real taste for what to automate, what stays human, and where agents can't yet be trusted.

• You can hold a prioritization spine under pressure and say no to senior stakeholders, up to the CEO, without formal authority.

• You'd rather decompose a messy human process than ship another feature, and you measure yourself on adoption rather than launch.

• You want your work used company-wide from day one, with live telemetry and demand already waiting.
  

🤑 Compensation:

• Base compensation: $160,000-$200,000

• Annual company performance bonus: $5,000 - $20,000

🌎 Location: We're 100% remote across the US and Canada. Work where you want - our bands are set to tier-1 city rates wherever you live.

🤝 Team Events: Biannual team offsites. Most recently we’ve gone to New Orleans, San Diego and Park City!

🏝️ Time to Recharge: Flexible PTO. Most of the team takes 2–3 weeks a year, plus holidays.

🏥 Health Benefits: Comprehensive medical, dental and vision benefits with a 100% paid option

📈 401(k) Plan: Empower 401(k)

🍼 Paid Parental Leave

💻 Home Office Stipend: Whatever makes you productive - standing desk, second monitor, chair, walking pad.

🔰 Learning & Development Stipend: For anything that makes you better at your work, and for AI tools especially. Don't ration your tokens.

📥 If you're ready to make a real dent at a bootstrapped, profitable company, apply. Tell us if you need any accommodation at any point in the process.

• Inc story on how TLDR was founded

• Pricing and demographic information in TLDR’s latest media kit