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Snowflake

Runs a cloud platform for business data and AI

Senior Manager - Finance Applications

Product ManagementConfirmed live in the last 24 hours
Full-timeDublin, CA, USA$236k - $339.2k /yr

About the Job

Requirements

  • At least 10 years of experience in finance systems, finance product management, or finance transformation, ideally in high-growth SaaS or technology companies.
  • At least 5 years in a product manager or product owner role for finance or accounting systems, with ownership of a product roadmap from vision through delivery.
  • A track record of building finance systems or capabilities from the ground up, rather than only maintaining or upgrading existing platforms.
  • Hands-on experience with at least one major SaaS ERP, such as Workday Financials, Oracle Cloud/NetSuite, or SAP S/4HANA Cloud.
  • Domain knowledge of accounting and finance operations, including Order to Cash, Procure to Pay, Record to Report, revenue recognition, close, and FP&A.
  • Working knowledge of SOX, ITGCs, internal controls, and audit requirements for financial systems.
  • An AI-first product mindset and practical experience applying GenAI, LLMs, or intelligent automation to business processes.
  • Experience leading and building high-performing teams, including teams across global locations.
  • A product toolkit including user research, prioritization frameworks, roadmapping, agile delivery, and outcome-based metrics.
  • Ability to communicate clearly and influence the CFO organization and technology executives.

Responsibilities

  • Own the product vision, strategy, and roadmap for Finance Applications across ERP (Workday Financials) and the connected finance stack; set product goals, success metrics, and a prioritized backlog.
  • Act as product owner for finance systems by conducting discovery with Accounting, FP&A, Treasury, Tax, and Procurement users, translating pain points into requirements and user stories, and shipping iteratively in short release cycles.
  • Build new finance capabilities from problem definition and architecture through launch, adoption, and continuous improvement.
  • Lead the design and rollout of AI and agentic finance products for use cases including close automation, reconciliations, journal entries, AP, collections, revenue, and forecasting, using Snowflake Cortex AI, Cortex Agents, and Snowflake Intelligence.
  • Build finance data products, Streamlit in Snowflake apps, and native integrations on the Snowflake AI Data Cloud as Customer Zero, and share learnings with Snowflake product teams.
  • Embed SOX compliance, ITGCs, segregation of duties, and audit readiness into product design and change management so AI-driven automation is trusted, explainable, and auditable.
  • Drive end-to-end process transformation across Order to Cash, Procure to Pay, Record to Report, and FP&A, redesigning processes around automation and AI rather than replicating legacy workflows.
  • Lead and grow a high-performing global team of product owners, business systems analysts, and engineers, building a product-led, AI-first culture.
  • Manage ERP vendors and implementation partners against product outcomes, timelines, and budget.
  • Define and report product KPIs, including cycle-time reduction, automation rate, adoption, accuracy, and control effectiveness, to communicate roadmap impact to finance and technology leadership.

Desired Qualifications

  • Experience shipping agentic workflows or LLM-powered applications in production, especially in a regulated finance environment.
  • Hands-on experience with Snowflake, SQL, Python, or Streamlit.
  • A background in accounting (CPA, CA, or similar) or prior experience in a finance or controllership role.
  • Experience with process mining, RPA, or workflow orchestration.

About the Company

Snowflake

Runs a cloud platform for business data and AI

Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.

Company size
10,001+
Company stage
IPO
Headquarters
Menlo Park, CA
Founded
2012

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