Senior product manager, datasets & objects

Responsibilities

• Own the product roadmap: vision, strategy, and metrics for BI capabilities, data discoverability, schema design, and AI-powered insights.
• Ship AI-native features: natural-language search over datasets, automated anomaly detection, AI-assisted analysis (“why did Scope 3 spike in Q3?”), and proactive recommendations—using LLMs to unlock insights that were previously only accessible to power users.
• Build BI-grade primitives: tables as first-class objects, joins, calculated columns, pivots—so customers can do real analytical work without leaving the platform.
• Make data discoverable: schema catalogs, data dictionaries, and usage analytics so customers always know what they have and how to use it.
• Solve the flexibility-vs-rigor tension: design interoperability between canonical (methodology-backed) and custom (user-defined) schemas.
• Drive correctness and scale: clean up schema debt, ensure auditability, and make the platform fast enough for real analysis.
• Partner across the org: align with Sales, CS, Sustainability Advisors, and other product teams to land new capabilities successfully.

Skillset

• Have 5+ years of PM experience in B2B SaaS, shipping data platforms, BI tools, or developer-facing APIs—ideally at high-growth startups.
• Have already built with AI: you’ve shipped AI-powered features or prototyped with LLMs, not just talked about it. You have hands-on intuition for what works, what hallucinates, and where AI genuinely changes the product.
• Think like a data platform PM: schema design, query performance, flexibility vs. structure—you have opinions and scars.
• Go deep with customers: you can spend a morning in SQL notebooks, then jump on a call to map a CSO’s workflow.
• Thrive in ambiguity: you turn fuzzy, conflicting inputs into a clear product vision.
• Communicate with precision: one-pagers, API docs, roadmap presentations—you make complex ideas simple.