Senior Product Manager

The company

As a trusted partner to banks and credit unions since 2008, Empyrean delivers an integrated suite of financial risk management, performance, and planning solutions through our unified Empyrean Dataverse® platform. Built by practitioners for practitioners, our tools combine speed, precision, and intelligence to help financial institutions navigate risk, optimize performance, and drive growth in a rapidly changing financial landscape.

Today, Empyrean is redefining how CFOs and finance teams work. We’re building AI-native products that automate complex financial workflows, predict emerging risks, and transform how institutions manage balance sheets and profitability. By pairing deep domain expertise with modern data architecture, Empyrean is creating the intelligent finance platform of the future — enabling financial leaders to move faster, plan smarter, and lead with confidence.

We are seeking a Product Manager, AI to own the strategy, roadmap, and execution of Empyrean's customer-facing platform that sits between our core calculation engines (ALM, CECL, and others) and the decision-making workflows of bank and credit union finance teams. AI is foundation to it, not a bolt-on.

This is a zero-to-one role in a regulated financial services environment.

The right candidate has shipped AI-powered products in production — with real evaluation rigor, agentic design, and the judgment to know when not to use an LLM. Experience with machine learning–based products is a significant plus. This role reports to the Director of Product Management, AI, with access to the CPO.

• Product Strategy & Roadmap — Define and execute the Catalyst roadmap from discovery through launch and iteration; own Catalyst as a standalone product with its own commercial model and GTM
• Customer Discovery — Maintain a standing cadence of direct interviews with bank and credit union finance and risk stakeholders; turn insights into requirements and change direction when the data says to
• AI Product Execution — Design multi-step agentic workflows with Empyrean’s AI innovation lab; establish evaluation standards (golden datasets, prompt versioning, human-in-the-loop); apply ML and GenAI appropriately for each use case
• Cross-Functional Leadership — Align engineering, design, and GTM without escalating every conflict; collaborate with peer PMs (ALM, CECL) to integrate their outputs into workflows
• Launch & Iteration — Drive GTM across Empyrean’s 600-institution customer base; measure adoption and outcomes, then adapt

• 5–8+ years of PM experience with end-to-end ownership (discovery → delivery → launch → iteration), direct customer contact, quantified outcomes, and demonstrated 0→1 experience
• B2B SaaS background with exposure to enterprise buyers; comfort with shipping fast in a growth-stage or PE/VC-backed environment
• Shipped AI in production — LLM or ML-powered features that real users rely on. ML-based product experience is a significant plus. Must be able to distinguish ML from GenAI, navigate hallucination/latency/non-determinism in production, and defend a decision not to use AI