
11 - 50 employees
Founded 2026
π₯ HR Tech
βοΈ SaaS
π€ Artificial Intelligence
HR Tech β’ SaaS β’ Artificial Intelligence
Human Intelligence is a People Data Platform that unifies and governs enterprise people data from systems like Workday, Lattice, Greenhouse, and more. It provides a secure, compliant layer (the MCP server) that enforces database-level permissions, org-aware row-level security, policy management, RBAC, and audit logging so HR, talent, and exec teams can safely integrate people data with AI tools and deploy agents. The platform centralizes warehousing, ingestion, modeling, shared metrics/definitions, and provides pre-built integrations to enable governed natural-language queries and AI-assisted workflows without exposing unauthorized data.
π₯ 1 hour ago
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11 - 50 employees
Founded 2026
π₯ HR Tech
βοΈ SaaS
π€ Artificial Intelligence
HR Tech β’ SaaS β’ Artificial Intelligence
Human Intelligence is a People Data Platform that unifies and governs enterprise people data from systems like Workday, Lattice, Greenhouse, and more. It provides a secure, compliant layer (the MCP server) that enforces database-level permissions, org-aware row-level security, policy management, RBAC, and audit logging so HR, talent, and exec teams can safely integrate people data with AI tools and deploy agents. The platform centralizes warehousing, ingestion, modeling, shared metrics/definitions, and provides pre-built integrations to enable governed natural-language queries and AI-assisted workflows without exposing unauthorized data.
β’ Define and articulate a clear product vision aligned to customer needs and company strategy, and earn buy-in from engineers, designers, and executives β’ Prioritize ruthlessly across competing demands, using customer signals, usage data, and business context to decide what's worth building and what isn't β’ Dig into the data yourself β pull usage numbers, build the analysis, and let evidence settle debates instead of opinions β’ Track market trends and competitive moves to spot where Human Intelligence can build durable differentiation β’ Be genuinely, consistently customer-facing, day in and day out. Lead discovery calls, onboarding sessions, and account reviews to understand what customers actually need β’ Build trusted relationships with HR, People Analytics, and Data leaders at our key accounts β’ Translate messy customer feedback into clear, actionable product requirements β’ Partner with Sales and Leadership to support deal cycles, and make sure the features customers adopt are driving real, measurable value β’ Work closely with Engineering to define requirements, write clear specs, and clear blockers fast β’ Partner with Design to make the product genuinely good to use β solving problems elegantly, not just technically β’ Define the metrics that tell you whether what you shipped actually worked, and hold the team to them β’ Be the connective tissue between Engineering, Design, Sales, and Leadership, keeping everyone working from the same understanding of what we're building and why β’ Contribute to go-to-market strategy for new features alongside Sales and Marketing β’ Bring a data-driven point of view to the table β back your calls with evidence, and help the whole team get sharper about measuring what matters
β’ 10+ years of product management experience, with at least 2β3 years in a senior individual contributor PM role. β’ Experience at a venture-backed startup between Series B and Series E, you know what it means to build with urgency, limited resources, and high accountability. β’ Strong customer orientation, you're comfortable leading discovery calls, synthesizing feedback, and using what you learn to drive decisions. β’ Experience partnering closely with Engineering (including on technical requirements and architecture tradeoffs) and Design. β’ Data-driven mindset: you define success metrics upfront and use product analytics to inform prioritization and evaluate outcomes. β’ Excellent written and verbal communication, you can adapt your message for a sprint planning meeting, a customer call, and a board slide.
β’ Equity
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