Product Manager, Applied AI
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Job Description
Product Manager building agentic internal platforms and workflows for TLDR, a global tech newsletter network. Owning AI product intake, roadmap, deployment, and adoption company-wide.
Responsibilities:
- Triage every incoming request by investigating the underlying problem, shaping it into a build-ready specification, and routing it
- Redesign business processes into productized, agentic forms
- Own the roadmap and lifecycle of internal surfaces such as team command centers
- Communicate changes to teams that depend on internal products
- Partner with auto-PM and auto-engineer tooling so specifications increasingly self-deploy
- Collaborate with Strategy & Ops, which owns current process needs, while owning the agentic version
- Increase the amount of company work running through agentic rather than manual processes
- Accelerate requests from filing through launch and adoption
- Become the primary intake point for function leaders and remove the Head of Applied AI from triage and specification writing
Requirements:
- 3+ years as a product manager
- Hands-on experience building AI-native products or workflows
- Shipped something real with LLMs or agents
- Ability to work lawfully in the U.S. (application asks whether authorized)
- Nice to have: experience productizing internal processes
- Nice to have: experience running high-volume multi-stakeholder intake
- Nice to have: experience working close to GTM
- Comfort with ambiguity and owning an entire problem
- Ability to prioritize under pressure and say no to senior stakeholders without formal authority
- Judgment about what to automate, what should remain human, and where agents cannot yet be trusted
Benefits:
- Annual company performance bonus: $5,000 - $20,000
- 100% remote across the US and Canada
- Biannual team offsites
- Flexible PTO and holidays
- Comprehensive medical, dental and vision benefits with a 100% paid option
- Empower 401(k) Plan
- Paid Parental Leave
- Home Office Stipend
- Learning & Development Stipend, including AI tools
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