Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ 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 7.5% 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 Ramp’s founding Privacy engineer, you will build a privacy program that powers Ramp’s growth while earning trust from customers and prospects.
What You’ll Do
Build privacy-focused application primitives and integrate them into our existing products
Partner with other engineering teams to design and deploy solutions which are inherently privacy-centric and secure
Improve, implement, and deploy data retention and anonymization strategies across our environment
Track shifting legal standards (alongside with Ramp’s Privacy Counsel) and update Ramp systems and processes to match
What You Need
Minimum of 4 years of experience building software
Minimum of 2 years of experienced focused on platform, privacy, and/or security
Desire to work in a fast-paced environment, continuously grow, and master your craft
Ability to turn business and product ideas into engineering solutions
Nice-to-Haves
Working knowledge of data-protection legal requirements
Experience with Python (Flask), React, and AWS (ECS, as well as other core services)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
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.
Build and evolve application security for an AI platform by threat modeling systems, embedding automated controls in development workflows, assessing applications and APIs, and helping engineering teams ship securely.
Fix complex application and AI security vulnerabilities across codebases and services, strengthen authentication and delivery pipelines, and develop guardrails and remediation patterns for secure engineering and coding agents.
Research emerging threats and vulnerabilities, build AI-powered workflows and cloud detection systems, and turn findings into advisories and clear public research.
Own end-to-end product security work by partnering with engineering, improving secure defaults and security tooling, and leading projects that reduce vulnerabilities while supporting development velocity.
Assess and secure AI tools and applications across the organization by identifying risks, building automated controls, responding to incidents, and guiding teams toward responsible, compliant AI use.
