Lead Product Manager

Lattice

4d•CA$135,000 - CA$180,000•Remote

About The Position

We are looking for a Lead Product Manager to own the future of the Lattice MCP (Model Context Protocol) server and the integrations that power Lattice AI. This is the connective layer that lets customers use Lattice performance data inside the AI tools they already work in (Claude, ChatGPT, Glean, Microsoft Copilot, and Slack), and that brings third-party productivity data (e.g., Jira, GitHub, Linear, Zoom, Asana) into Lattice. As AI becomes the center of gravity for how companies work, this surface is how Lattice stays connected, interoperable, and indispensable. You’ll join a fully staffed engineering team ready to execute, and together you’ll make ecosystem interoperability a reason customers choose and stay with Lattice. If you enjoy solving complex problems, shaping platform strategy, and working with great internal and external partners, you’ll love the impact you can have here. As a Lead Product Manager for MCP & AI Ecosystem, you will: Own the MCP and AI ecosystem strategy. Not only decide what features and integrations to pursue, but what MCP and AI mean to Lattice and our customers. Become a thought leader on how AI should shape HR for the better. Ship integrations that create leverage. Deliver new MCP tools, resources, and third-party connectors that expand what admins, managers, and executives can do with Lattice data in the flow of work. Build durable foundations, like authentication, agentic execution frameworks, and evals that make future integrations faster, more scalable, and easier to adopt and maintain. Be a technical thought partner to Engineering. Help shape technical direction on MCP tool design and third party integration infrastructure, translating complex constraints into clear product decisions. Drive go-to-market with partners. Partner with Partnerships, Product Marketing, to launch integrations that deliver measurable customer and ecosystem impact. Own outcomes. Influence and own key results across integration and MCP adoption, reliability, activation, and ecosystem growth.

Requirements

7+ years of product management experience, with meaningful ownership of integrations, platform, or ecosystem surfaces (built end-to-end, not just configured).
Direct experience building technical integrations in a multi-party ecosystem — for example ad technology / marketing technology, marketplaces, developer platforms, payments, data connectivity, or similar — where partnership strategy shaped what you built.
Strong technical fluency: comfortable with third-party integration patterns, data sync and field mapping, webhooks, and auth/OAuth; you can hold a credible architecture conversation with engineers and partner CTOs.
A track record of shipping scalable, reliable integrations in partnership with engineering, and of standing up partner or marketplace launches with go-to-market teams.
Evidence of turning a platform or ecosystem into a competitive advantage — a reason customers chose your product, not just a checkbox.
Clear, confident communication that brings internal teams and external partners into alignment.
A bias for action and the ability to create structure in an ambiguous, fast-moving space.

Nice To Haves

Exposure to AI ecosystems, MCP, AI agents, or LLM tooling (helpful, not required).
Experience in multi-product B2B SaaS, or with HR/people-data or other sensitive-data workflows.
Strong product thinkers with deep technical fluency, not perfect resumes.

Responsibilities

Own the MCP and AI ecosystem strategy. Not only decide what features and integrations to pursue, but what MCP and AI mean to Lattice and our customers. Become a thought leader on how AI should shape HR for the better.
Ship integrations that create leverage. Deliver new MCP tools, resources, and third-party connectors that expand what admins, managers, and executives can do with Lattice data in the flow of work.
Build durable foundations, like authentication, agentic execution frameworks, and evals that make future integrations faster, more scalable, and easier to adopt and maintain.
Be a technical thought partner to Engineering. Help shape technical direction on MCP tool design and third party integration infrastructure, translating complex constraints into clear product decisions.
Drive go-to-market with partners. Partner with Partnerships, Product Marketing, to launch integrations that deliver measurable customer and ecosystem impact.
Own outcomes. Influence and own key results across integration and MCP adoption, reliability, activation, and ecosystem growth.