Product Manager – Order-to-Cash & Agentic AI

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact.

We are looking for a Product Manager - Order to Cash and Agentic AI to lead a team that designs, builds, and runs the systems behind Snowflake's Office of the CFO. You will bring a product-led mindset to finance technology, with a strong focus on AI and agentic applications that change how Finance works.

Key Responsibilities

• Build Products from Zero to Production: Own discovery, vision, roadmap, prioritization, and delivery of in-house O2C products. Translate customer and operational needs into clear product requirements, MVPs, acceptance criteria, and measurable outcomes.
• Own Contracts, Billing & Invoicing: Define capabilities for contract changes, order activation, usage rating, billing schedules, invoice generation, adjustments, and reconciliation. Support consumption-based, subscription, hybrid, and technical services business models.
• Design the End-to-End Customer Journey: Connect upstream quoting and contracting with downstream invoicing, payments, cash application, disputes, and subledger operations. Simplify customer and operator experiences, including exceptions and recovery.
• Prototype & Deliver with Engineering: Build working prototypes using AI-assisted development tools to validate workflows and feasibility. Partner with Engineering on APIs, data models, business rules, architecture tradeoffs, testing, and production readiness.
• Build Reliable Agentic Workflows: Define agent orchestration, tool integration, and approval checkpoints. Establish prompt and context strategies, evals, test harnesses, and observability to measure quality, reliability, latency, and cost.
• Drive Adoption & Operational Excellence: Deliver measurable improvements in billing accuracy, automation, collections effectiveness, and adoption. Embed financial controls, security, audit trails, and resilient exception handling throughout the product lifecycle.

Required Qualifications & Experience

• Seasoned Product Leadership: 8–10+ years of product management experience building enterprise software, financial platforms, or billing products, with direct accountability for product decisions and business outcomes.
• Zero-to-One In-House Product Development: Demonstrated experience taking custom-built products from problem discovery through MVP, production launch, and scale. Experience must extend beyond packaged application configuration, implementation coordination, or project management.
• Deep Contracts, Billing & Invoicing Expertise: Hands-on product experience with contract lifecycle events, amendments, renewals, billing schedules, proration, invoicing, credit/debit memos, tax integrations, and reconciliation.
• Consumption-Based Billing: Experience delivering usage-based billing capabilities, including usage ingestion and validation, metering and rating, tiered pricing, commitments, drawdowns, overages, and billing corrections.
• End-to-End Q2C/O2C Understanding: Strong understanding of the customer journey across CPQ, pricing, deal desk, contracts, orders, billing, payments, cash application, disputes, collections, and operational subledgers.
• Core Software Product & Engineering Skills: Ability to translate business needs into functional specifications, data models, API contracts, workflow states, and testable acceptance criteria. Technical fluency in SQL, APIs, and event-driven systems, with sound judgment on build-versus-buy, scalability, and reliability tradeoffs.
• Hands-on AI Prototyping & Agentic Applications: Experience using tools such as Cortex Code or Cursor to build functional prototypes, and demonstrated delivery of in-house agentic applications in O2C or closely related financial workflows. Understanding of tool/function calling, orchestration, context and memory management, and human approvals.
• AI Evaluation & Production Quality: Practical experience with prompt and context engineering, evaluation datasets, automated test harnesses, regression testing, execution tracing, and guardrails. Ability to define measurable release criteria and safe fallback behavior.
• Enterprise Application Integration: Experience implementing, enhancing, or integrating platforms such as Workday, Oracle, SAP, NetSuite, or Salesforce, with an understanding of financial data ownership, system boundaries, and reconciliation.
• Customer-Centric Execution: Strong discovery, UX, prioritization, and stakeholder-management skills. Ability to work closely with Engineering, Finance, Operations, and Compliance to turn complex requirements into usable products.