Lattice
·Artificial Intelligence
Lead Product Manager to own Lattice's MCP (Model Context Protocol) server and AI ecosystem integrations. You'll shape platform strategy for connecting Lattice performance data with AI tools like Claude, ChatGPT, and Copilot, while bringing third-party productivity data into Lattice. Join a fully staffed engineering team to make ecosystem interoperability a competitive advantage.
7+ years of product management experience with ownership of integrations, platform, or ecosystem surfaces
Direct experience building technical integrations in a multi-party ecosystem
Strong technical fluency with third-party integration patterns, data sync, webhooks, and auth/OAuth
Track record of shipping scalable, reliable integrations with engineering teams
Evidence of turning platform or ecosystem into competitive advantage
Clear, confident communication for aligning internal teams and external partners
Bias for action and ability to create structure in ambiguous, fast-moving space
Own the MCP and AI ecosystem strategy and become a thought leader on AI in HR
Ship integrations including MCP tools, resources, and third-party connectors
Build durable foundations for authentication, agentic execution frameworks, and evals
Be a technical thought partner to Engineering on MCP tool design and integration infrastructure
Drive go-to-market with partners, Product Marketing, and Partnerships teams
Own key results across integration and MCP adoption, reliability, activation, and ecosystem growth
Role is open to candidates located in British Columbia or Ontario, Canada only
Eligible for incentive stock options subject to Lattice's applicable plans
Lattice is a people success platform with 5,000+ customers globally
Company focuses on performance reviews, engagement surveys, feedback, and career planning
165,000 – 210,000 USD
/ year
146,700 – 203,800 USD
/ year
120,000 – 160,000 USD
/ year
132,250 – 181,700 CAD
/ year
230,000 – 400,000 USD
/ year