Traditional corporate cards were designed to make you spend more with complex rewards programs that encourage wasteful spending. In contrast, Ramp’s mission is to increase the lifespan of businesses with intelligence & automation designed for high-performing finance teams. We make financial rigor easy by enabling real-time visibility and understanding of every dollar spent. Over 1,000 customers are now using Ramp for over $1 billion in annualized transaction volume.
Ramp was founded in 2019 by the same team who built, scaled, and sold Paribus to Capital One. We are the fastest growing NYC startup, having achieved a unicorn valuation of $1.6 billion in less than 2 years. Ramp has raised $320 million in funding from investors including Stripe, Goldman Sachs, Founders Fund, Coatue Management, D1 Capital Partners and Thrive Capital, as well as over 50 angel investors who were founders or executives of leading companies.
About the Role
As a foundational member of our product operations organization, you will support Ramp’s growth and product offerings for our customers as we scale. You will leverage data to identify opportunities for our users, build out automation, and increase our overall operational efficiency in how we generate savings. You’ll work closely with product managers, engineers, data scientists and the rest of the company to define ways to help Ramp scale (such as physical card shipments, merchant data, generating savings insights, our referral program and more!).
What You’ll Do
Identify opportunities to automate manual processes to generate hundreds of thousands of dollars in savings for our users
Help define the roadmap for the product operations team’s vision and mission as Ramp continues to scale
Use data to identify opportunities on how we can improve our overall product
Define updates and improvements in product specs in partnership with product and engineering
Work with engineering, support and product on scaling Ramp’s issue management
What You Need
Minimum 1 year working in product management or product operations
Strong ability to use data to understand opportunities and query data via SQL
Ability to work in undefined spaces
Strong investigative and critical thinking skills
Familiarity with and expanding on internally used tools (dashboards)