Senior product manager, datasets & objects

Watershed • New York, NY

3d • Onsite

About The Position

Watershed customers have poured years of operational and emissions data into our platform, but the insights they can glean from it are limited. AI totally upends what is possible, and we’re looking for a PM to figure it out.
You’ll PM the team turning Watershed’s data layer into an intelligence platform: BI-grade querying, AI-powered discovery and analysis, and the schema architecture underneath it all. The goal is for customers to get answers inside Watershed—not export to Excel.
This is a hands-on, deeply technical, cross-functional PM role. You’ll partner with engineering, climate science, and go-to-market to decide what we build, why it matters, and how we ship it.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees