Product Manager – Order-to-Cash & Agentic AI

Location: Dublin, California, United States; hybrid, 3 days in the office

Salary: $132K–$173.2K per year

Company

Snowflake provides a data and AI platform and is building AI-native enterprise applications for its Office of the CFO.

What you will do

• Own discovery, product strategy, roadmap, prioritization, requirements, MVPs, delivery, and adoption for in-house order-to-cash products.
• Define contract changes, order activation, usage rating, billing schedules, invoice generation, adjustments, reconciliation, and support for consumption-based, subscription, hybrid, and technical-services models.
• Connect quoting and contracting with orders, billing, payments, cash application, disputes, collections, and subledger operations, including exception and recovery flows.
• Build AI-assisted prototypes and partner with Engineering on APIs, data models, business rules, architecture, testing, and production readiness.
• Design agent orchestration, tool integration, approval checkpoints, prompt and context strategies, evaluation datasets, test harnesses, observability, and safe fallback behavior.
• Improve billing accuracy, automation, collections effectiveness, and adoption while embedding financial controls, security, audit trails, and resilient exception handling.

Requirements

• 8–10+ years of product management experience building enterprise software, financial platforms, or billing products, with accountability for product decisions and business outcomes.
• Demonstrated zero-to-one development of custom in-house products from discovery through MVP, production launch, and scale; packaged-application configuration, implementation coordination, or project management alone is insufficient.
• Hands-on expertise in contract lifecycle events, amendments, renewals, billing schedules, proration, invoicing, credit/debit memos, tax integrations, and reconciliation.
• Experience delivering consumption-based billing, including usage ingestion and validation, metering and rating, tiered pricing, commitments, drawdowns, overages, and billing corrections.
• Strong end-to-end understanding of CPQ, pricing, deal desk, contracts, orders, billing, payments, cash application, disputes, collections, and operational subledgers.
• Ability to define functional specifications, data models, API contracts, workflow states, and testable acceptance criteria, with technical fluency in SQL, APIs, and event-driven systems.
• Experience using AI-assisted development tools such as Cortex Code or Cursor and delivering in-house agentic applications; knowledge of tool/function calling, orchestration, context and memory management, and human approvals.
• Practical experience with prompt and context engineering, evaluation datasets, automated test harnesses, regression testing, execution tracing, guardrails, measurable release criteria, and safe fallback behavior.
• Experience implementing, enhancing, or integrating Workday, Oracle, SAP, NetSuite, or Salesforce, plus strong discovery, UX, prioritization, and stakeholder-management skills across Engineering, Finance, Operations, and Compliance.

Nice to have

• Experience building on Snowflake with Cortex AI, Snowpark, SPCS, Streamlit, or Dynamic Tables.
• Prior software engineering experience or the ability to develop and validate prototypes using code.
• Experience with mission-critical enterprise applications, operational subledgers, payment platforms, cross-system reconciliation, security controls, exception handling, and tested recovery procedures.
• Familiarity with LangGraph, AutoGen, CrewAI, or custom agent-orchestration implementations.
• Experience extracting and validating information from contracts, invoices, remittance advice, and other unstructured documents.
• Familiarity with SOC 1/SOC 2, SOX controls, and PCI DSS requirements for financial applications.

Culture & Benefits

• Work in an impact-focused, innovative, and collaborative environment within a fast-growing company.
• Use an experimental, AI-native approach to test emerging capabilities and improve how work is done.
• Hybrid workplace with 3 days in the Dublin, California office.