Senior Product role shaping multi-quarter strategy and roadmap for Sema4.ai's AI finance agent portfolio. Requires 8+ years PM experience shipping B2B/enterprise and AI/LLM products, deep finance ops knowledge, technical fluency with agents, and executive customer presence.
Salary not listed
Hybrid8+ YOEProduct Management
About the role
What You'll Do
Shape the multi-quarter strategy and roadmap for AI finance agents, and own execution and delivery.
Make hard portfolio calls: where to go deep vs. broad, what to build vs. partner, when an agent is good enough to ship vs. needs more rigorous evals.
Define 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 to market.
Work closely with design partner companies to understand gaps and opportunities, drive learnings back into product.
Raise the bar for how the broader product org thinks about agents.
What You Bring
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 opinions on evals, hallucination management, agent design, and the gap between demos and customer-ready products.
Deep working knowledge of finance operations (three-way match, period close, accruals, SOX-relevant controls).
Demonstrated influence beyond direct scope — shaped roadmaps, platforms, or company strategy not formally owned.
Technical fluency to debate agent architecture, prompt/tooling design, RAG, eval frameworks, and integration patterns (ERPs, doc stores, messaging) with senior engineers.
Executive presence with customers: run the room with a CFO and secure next-quarter use cases.
Crisp written communication, sharp prioritization, bias to ship with incomplete data.
Nice to Have
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 SOC 2 / SOX / data-residency level.
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