Drive vision, strategy, and roadmap for Ramp’s financial insights products, utilizing AI and structured data to transform financial data interaction for customers.
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
As the Product Manager for Financial Intelligence, you will be a driving force behind the vision, strategy, and roadmap for Ramp’s next generation of financial insight and analytics products. You will partner with engineering, design, data, and cross-functional stakeholders to build intelligent experiences that help finance teams unlock deeper understanding, proactive insights, and decision tools from financial data. This role blends structured data products, AI-native experiences, and exploratory product discovery across reporting surfaces, analytics platforms, and advanced insights workflows. You will define and own the strategy for your domain in order to meet ambitious company goals and reimagine how customers interact with their financial data.
Please note that this Product Management role will require you to be comfortable with working in-person at one of our NYC or SF offices at least 2 days/week
Help thousands of finance teams on Ramp better understand and manage their finances by expanding how they access, interpret, and act on their financial data.
Match deep customer and persona understanding with business goals to deliver best-in-class financial intelligence products and experiences alongside a team of world-class designers and engineers.
Own the product vision, strategy, and roadmap for Ramp’s financial intelligence offerings, including reporting surfaces, analytics capabilities, and AI-powered insight experiences.
Drive high-velocity execution with a world-class team of engineers, designers, other builders, balancing principled intuition with data-driven decision making
Leverage data and customer feedback to continuously iterate and evolve intelligence products
Own the vision, strategy, and roadmap for Ramp’s travel products
BA/BS in a technical or analytical field (e.g. Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or related)
Minimum 5 years of product management or adjacent product-building experience.
Strong product judgment and first-principles thinking, especially at the intersection of structured data surfaces, analytics, and customer workflows.
AI fluency and passion, shown through deep understanding of technical concepts and hands-on experience building, prototyping, or side projects, and staying current on research and tools.
Fluency with modern prototyping tools (e.g. Claude Code, Cursor) and comfort with design/collaboration environments like Figma and Git.
Fluency in data and experimentation, and understanding when the answer cannot be found in the data
Proven ability to lead small, cross-functional teams toward ambitious goals with urgency and agency.
Ability to translate between technical and non-technical audiences, synthesizing complex systems into compelling narratives.
Excellent communication and storytelling skills
Experience building AI-powered products
Experience in high-growth startups, especially driving 0→1 products to scale
Experience in data products/platforms (metrics layers, data APIs, semantic modeling).
Experience building financial products or adjacent tools that require complex systems thinking
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $10,000 per year)
Parental Leave
Unlimited AI token usage
Pet insurance
Centralized home-office equipment ordering for all employees
Health and Wellness stipend
In-office perks: lunch, snacks, drinks, and more
Budget for intra-office travel
Relocation support to NYC or SF (as needed)
If you are being referred for the role, please contact that person to apply on your behalf.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Health Insurance
Partially covered for your dependents
Home Office Stipend
Centralized home-office equipment ordering for all employees
Relocation support
Relocation support to NYC or SF (as needed)
Paid Parental Leave
Parental Leave
Paid Time Off
Flexible PTO
Wellness Stipend
Health and Wellness stipend
Ramp builds an all-in-one platform that streamlines spend management, corporate cards, and accounts payable for finance teams. Tailored for businesses looking to save time and reduce inefficiencies, Ramp's solutions empower organizations to take control of their expenses and automate workflows. With a focus on user-friendliness and comprehensive tools, it stands out by enabling teams to manage all financial tasks in one place.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Product Manager Q&A's