Senior Product Manager, xP&A

The role and the team

As a Senior Product Manager xP&A (all genders), you'll help finance teams build models they trust and run planning processes that work across their organization. In our Extended Planning and Analysis (xP&A) team, you'll shape how customers connect business data, build budgets and forecasts, collect contributions, and turn changing assumptions into decisions. AI agents are a central part of this work. You'll help develop our Modeler Agent, enabling finance teams to create and update financial models through conversation. You'll also improve the underlying planning experience, from data entry and approvals to model performance and financial correctness.

This is a senior, hands-on individual contributor role, fully remote in Germany, Spain or the United Kingdom. Working with Engineering, Design and our AI platform team, you'll combine financial understanding with practical agent building and strong product analytics. We look for people who keep growing, take real ownership, and lift the people around them.

What you'll do

• Build agent prototypes with AI coding tools and work with engineers to ship reliable Modeler Agent capabilities.
• Define agent evaluations with golden datasets and expected numerical results, and investigate failures through traces and customer feedback.
• Own the roadmap for your area of xP&A, trading off customer needs, adoption, reliability and commercial impact.
• Make financial accuracy testable by checking formulas, aggregations, actuals versus forecasts, overrides and scenarios.
• Improve contributions, approvals and editable tables to bring budget owners across the business into bottom-up planning.
• Define tracking and analyze activation, repeat usage and agent task success to decide what to improve next.
• Run customer pilots and launches with Customer Success, Professional Services, Sales and Product Marketing.
• Report into the xP&A product team and work in a pod with engineers, design and AI platform colleagues.

What you bring

You have

• Built and evaluated an agent or LLM application that takes actions, including what it does, where it fails and how you tested it.
• Owned or worked deeply with budgets, forecasts and financial models in FP&A, controlling, consulting, banking or finance systems, including a budgeting cycle you took part in.
• Taken B2B software from discovery through delivery and adoption without close direction, with the customer problem, your choices and the results to show for it.
• Analyzed product data yourself with SQL and a BI or product analytics tool, and changed a product decision using funnels, cohorts or segmentation.
• Worked with engineers on APIs, data models, permissions and calculation behavior, and know when an agent needs a deterministic calculation.

It's a plus if you also have

• Experience with planning or modeling products such as Anaplan, Pigment, Adaptive Planning or Causal.
• Shipped an agent to real users, kept evaluation datasets, or used tools such as Langfuse to track quality, latency and cost.
• Experience with multidimensional models, approval workflows or integrations with ERP, accounting and HR systems.