Staff Product Manager, AI

Lattice

Staff Product Manager for Lattice, leading development of an AI-native suite while driving user-centric product adoption. Collaborating across teams to ensure product integrity and user control.

Posted 4/30/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $205,000 - $256,500 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own and scale a new area of our AI-native suite, from early product to broad adoption.
Design systems, not features — the full loop from data capture to AI synthesis to workflows like reviews and calibration.
Define what good AI looks like in a trust-critical product: transparent, evidence-backed, user in control.
Partner deeply with Reviews, Grow, and Calibration so this becomes core to Lattice.
Lead through ambiguity and own the hardest product questions.

Requirements

What you’ll need

7 to 12+ years building complex, data-rich, or workflow-heavy products.
A builder mindset: you’re comfortable prototyping, working in design tools, and using modern AI tools (e.g., Claude, Cursor, coding agents) to accelerate how you work
A strong bias toward execution and iteration - you value getting real products in front of users and learning quickly
Excellent prioritization skills; you can identify the highest-leverage opportunities and focus teams accordingly.
High agency, ownership and initiative - you proactively identify what matters most and move it forward
Experience building 0→1 product, ideally in fast-moving AI-first environments and demonstrating real impact.
Bonus points if the product was AI-native from day one — where latency, evals, prompts, and model selection were daily concerns, not abstractions.
Experience taking products beyond launch and driving meaningful and measurable scaled adoption
Strong customer obsession. You stay close to customers and their needs shape your decisions
Strong product judgment. You have a clear perspective on quality, trust, and user experience, and can defend it
AI/ML experience (especially LLMs), both in products you've shipped and in the tools you use to do your own job, plus judgment about when not to use AI.
GM-style collaboration across eng, design, data, legal, and GTM. You make the people around you better.
Comfort with data. You can write your own SQL, read a dashboard, and pressure-test a metric without waiting for an analyst.

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Life, AD&D, and Disability Insurance
Emergency Weather Support
Wellness Apps
Paid Parental Leave
Paid Time off inclusive of holidays and sick time
Commuter & Parking Accounts
Lunches in the Office
Internet and Phone Stipend
401(k) retirement plan
Financial Planning
Learning & Development Budget

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI/MLSQLdata captureAI synthesisproduct developmentprototypingworkflow design0→1 product buildinguser experience designmodel selection

Soft Skills

prioritizationexecutioniterationownershipinitiativecustomer obsessionproduct judgmentcollaborationleadershipadaptability