Founding Product Manager - Finance

This is a moment of change — and tremendous potential. Do you want to be part of building what's next in human-AI collaboration?

Sema
4.ai is transforming how enterprises adopt AI by making intelligent agents practical, safe, and scalable for real business workflows. We're solving hard technical problems at the intersection of LLMS, AI orchestration, enterprise systems integration, and production-grade reliability.

Hard problems, real impact — Build systems that deliver measurable productivity and efficiency gains and bottom-line value for finance teams

Cutting-edge technology — Work at the frontier of Agentic AI, workflow orchestration, and enterprise-scale systems

Accelerate your career growth — Work with world-class teams on leading-edge technology, pioneering customers, and world-class colleagues

We're a team of innovators in open source, big data, and automation-as-code. If you want to work on challenging technical problems with direct business impact alongside exceptional engineers and product builders, let's talk.

We are looking for an experienced Staff Product Manager to set and execute the multi-quarter strategy for Sema
4.ai’s AI finance agent portfolio. You'll decide which finance workflows we automate, in what order, with what level of autonomy — and how the underlying agent primitives (Runbooks, Actions, Document Intelligence, evals) need to evolve to support them. You'll be the senior product voice for finance agents internally and the face of the product externally with CFOs, controllers, and design partners.

This is a senior IC role with org-wide influence. You won't have direct reports on day one, but you'll set direction for the PMs, engineers, and applied AI folks working on adjacent surfaces, and you'll be expected to raise the product bar across the entire org.

Primary Focus:

• Shape the multi-quarter strategy and roadmap for AI finance agents, and own execution and delivery

  Make the hard portfolio calls: where to go deep vs. broad, what to build vs. partner for, when an agent is good enough to ship vs. needs more rigorous evals.

  Drive the underlying platform requirements (Runbooks, Actions, Document Intelligence, HITL, observability, evals) that finance agents need

  Define the company-level quality bar for agents that touch the ledger: accuracy targets, SLAs, auditability, controls posture, rollback.

  Partner with GTM leadership on positioning, packaging, and pricing for the finance portfolio; own the narrative we take to market.

  Work closely with our design partner companies to understand gaps and opportunities, and drive these learnings back into the product

  Raise the bar for how the broader product org thinks about agents

Required Experience

• 8+ years of product management experience, with a track record of shipping B2B SaaS or enterprise products at scale, including at least one product that materially moved business metrics.

  Shipped AI/LLM-powered products in production and developed crisp opinions on evals, hallucination management, agent design, and the gap between flashy demos and customer-ready products.

  Deep working knowledge of finance operations: you can hold a 90-minute working session with a controller about three-way match, period close, accruals, and SOX-relevant controls without losing the room.

  Demonstrated influence beyond your direct scope — you've shaped roadmaps, platforms, or company strategy you didn't formally own.

  Technical fluency to debate agent architecture, prompt/tooling design, RAG, eval frameworks, and integration patterns (ERPs, doc stores, messaging) with senior engineers as peers.

  Executive presence with customers: you can run the room with a CFO and walk out with their next-quarter use case committed.

  Crisp written communication, sharp prioritization instincts, and a bias to ship — even when the data is incomplete.

• Prior staff/principal PM experience at an AI-native company or AI-forward fintech

  Time spent in-seat as a controller, FP&A leader, AP/AR director, or audit partner

  Experience navigating enterprise procurement and security review at the SOC 2 / SOX / data-residency level.