Product Manager — Agentic Analytics

The Role

We're looking for an AI-Native Product Manager to own one or more of our core agentic analytics product areas. This is not a traditional PM role where you write specs and hand them off. This is a role where you'll be deeply in the product, using AI tools daily, making autonomous calls, and shipping continuously.

You'll own the full lifecycle — from understanding why a pharma brand manager can't trust an AI insight, to defining the product, to shipping it, to measuring whether it actually changed a decision.

What You'll Own

You'll work across one or more of Tellius's core product pillars:

• Conversational Analytics — Natural language interaction with enterprise data. Users ask questions; AI agents investigate autonomously and deliver insights with reasoning and evidence. Handles both structured data warehouses and unstructured documents.
• AI-Generated Interfaces — Moving beyond static dashboards to dynamic, context-aware visualizations. The system generates the right interface for each specific insight — whether that's summary cards, interactive charts, or narrative explanations.
• Onboarding & Setup Automation — Reducing time-to-first-insight from days to minutes. AI-powered workflows that understand data relationships, suggest transformations, and validate configurations before users go live.
• Cross-Platform Intelligence — Bringing Tellius's AI capabilities into the tools users already work in. Ambient assistance that understands context across different enterprise applications.
• Vertical Intelligence — Pre-configured domain knowledge for specific industries (pharma, CPG, finance) — understanding their metrics, workflows, and decision-making frameworks out of the box.

You won't own all of these simultaneously. You'll own the ones that match your experience and where you can drive the most impact. But you'll need to understand how they all connect — because Tellius is a platform, and the product decisions in one area affect all the others.

What "AI-Native" Means Here

This isn't a role where "AI" is a buzzword in the job title. We mean it operationally:

You will use AI tools to do your job. Prototyping, research synthesis, competitive analysis, spec drafting, data exploration — all of it. If you're not reaching for an AI tool first, you're working the wrong way here.
You will build AI products. The products you ship involve autonomous agents making decisions, surfacing insights, and taking actions. You need to understand — at a working level — how LLMs reason, where they fail, how to design for uncertainty, and how to build trust into AI-driven workflows.
You will think in systems. Agentic analytics isn't a single feature. It's a web of interconnected capabilities: memory, semantic layers, reasoning chains, action workflows, and governance. Your job is to make these systems work together coherently for real enterprise users.

What We're Looking For

Must-Haves

1.  Deep AI Product Experience: You've shipped products where AI/ML is the core interaction, not a bolt-on. You understand the difference between "AI-powered" and "AI-native." You've wrestled with hallucination, confidence calibration, and explainability in production — not just in theory.
2.  AI Evaluation & Testing Expertise: