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Ramp is building smart infrastructure for finance teams, automating how over $275B in annualized spend flows through 85,000+ companies. The company handles payment authorization, risk flagging, spend categorization, and financial close processes for ambitious businesses.
In this Product Operations role, you will own problem spaces end-to-end, from investigation through execution and measurement. You might investigate why customers abandon workflows, build AI tools that eliminate manual work, or help product teams launch new capabilities. You will work closely with Product, Engineering, Design, Data, and customer-facing teams, combining analytical rigor with hands-on execution.
Key responsibilities include:
- Own customer and operational outcomes by taking responsibility for defined problems, establishing baselines, and driving improvements
- Identify underlying problems by combining customer conversations, operational observations, and data analysis to distinguish recurring causes from isolated symptoms
- Make clear recommendations using product sense and business acumen to size opportunities, compare tradeoffs, and guide product partners on where process changes, automation, or product investment will have the greatest impact
- Build and improve workflows by creating practical tools and automations, including AI-assisted solutions, that reduce repetitive work and improve reliability
- Validate outputs and measure whether people actually benefit from changes
- Lead across teams by defining metrics, establishing owners, resolving dependencies, communicating decisions, and keeping important work moving when the path is unclear
You will be assigned to a specific product area such as Bill Pay, Procurement, Travel, Spend Management, Intelligence, Risk, Growth, Accounting, or Mobile. The role requires in-person presence at the NYC HQ (near Madison Square Park) at least 2 days per week.
Ramp values builders with high agency and urgency who own problems end-to-end and make consequential decisions. The median Ramp customer saves 7.5% and grows revenue 16% in their first year.
Requirements:
- 2–6 years of experience in banking, private equity, consulting, or product management/business operations roles at a demanding startup
- Record of taking personal ownership and delivering outcomes beyond initial analysis or recommendation
- Strong quantitative reasoning: ability to work with messy data, check assumptions, and translate findings into decisions
- Customer curiosity and practical judgment about which problems matter most and how to solve them
- Willingness to talk to customers when something is unclear
- Ability to prioritize well and work on the most important problems
- Strong communication skills and ability to earn trust for arguments across technical and business teams
- Resourcefulness, receptiveness to feedback, and evidence of learning unfamiliar subjects quickly
- Experience using AI tools to build something or improve a workflow, with a thoughtful approach to checking quality
Nice-to-haves:
- Experience building internal tools using APIs or low-code platforms
- Working with financial products
- Shipping software with AI assistance
- Owning a product launch
