Job Description
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ 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.
About the Role
The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models.
What You’ll Do
- Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.
- Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.
- Collaborate with stakeholder teams on building and productionizing machine learning applications.
- Build reliable, scalable, maintainable, and cost-efficient systems across the stack.
What You Need
- Experience with workflow orchestrators like Airflow, Dagster, or Prefect.
- Experience building infrastructure on AWS, GCP, or Azure.
- Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.
- Intuition around analytics and machine learning, and empathy for data science workflows.
- Strong Python programming skills.
Nice to Haves
- Expertise with AWS
- Previous experience building online machine learning systems.
- Previous experience building a feature store.
- Experience with Terraform and Datadog
- Experience building streaming systems.
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States
- 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)
Canada
- 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
United Kingdom
- 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
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
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.
Ramp Applicant Privacy Notice
How to apply
The Apply button opens Ramp's own application page in a new browser tab — applying is free, and this board never sits between you and the employer: no middleman, no form of ours to fill first.
This posting runs on Ashby, the applicant tracking system behind Ramp's job board — the form you'll see lives at jobs.ashbyhq.com. It asks for the basics first: your name, email, and a résumé/CV upload. After that come the custom questions this employer wrote for the role — Ashby lets each team tailor its application, and some postings add a short questionnaire on top, so set aside a few quiet minutes rather than a thirty-second sprint. Because the questions change per role, re-read the requirements above before you start typing; answers that echo the exact skills the listing names are the ones that survive screening. Two practical notes: apply promptly while the posting is verified live, since teams close applications once a role fills, and use one email address for the application so your details stay under one identity.
Before you start
Salary context
The listed range of $168k to $325k a year sits about 28% above the board-wide median for DevOps & Infrastructure roles on this board.
That median is $157,250 to $231,000 a year, based on 119 live listings where the employer publishes an annual USD range — the same rules as the board's salary report.
The parsed benefits on this listing include Health Insurance, Dental Insurance, Vision Insurance, and more — equity is among them, so total compensation can extend beyond this base range.
Quick answers
- Is this job still open?
- Yes. Listings on this board are re-verified 4 times a day and auto-expire 45 days after posting — if this page is visible, the role was open at the last check.
- Where does the Apply button go?
- Straight to Ramp's own application page — never a middleman. Every listing here comes from the employer's own job board, so the Apply button simply opens their page in a new tab.
- Is the salary listed?
- Yes — the employer publishes an annual range for this role: $168k to $325k.
About the job
Skills
Benefits
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