Software Engineer, Ramp
Forward Deployed AI
$189-330k
+ Offers Equity
More information about location
All-in-one financial operations platform
Be an early applicant
All-in-one financial operations platform
1001+ employees
Be an early applicant
$189-330k
+ Offers Equity
More information about location
1001+ employees
Company mission
To help finance teams build healthier businesses.
Role
Who you are
- Experience shipping production software in high-ownership environments
- Ability to work directly with enterprise customers from discovery through production implementation
- Experience in solutions architecture, technical consulting, forward deployed engineering, or pre-sales engineering
- Strong fundamentals in ML/GenAI, including problem decomposition, evaluation, and deployment trade-offs
- Strong coding ability in at least one of: Python, TypeScript/JavaScript, Java, Go, or similar
- Ability to design secure, scalable systems and produce clear technical documentation
- Comfort working across APIs, integrations, data pipelines, customer systems, and cloud infrastructure
- Experience with cloud architecture on AWS, GCP, or Azure, and distributed systems patterns
- Experience building LLM systems, including RAG, agents, monitoring, and evals
- Willingness to travel up to ~75% as needed, flexible based on project needs and client needs
- Nice to have: Familiarity with finance operations workflows such as AP, procurement, expenses, close, reconciliation, and reporting
What the job involves
- As a software engineer on the AI Soltuions team, you will co-lead customer engagements with an AI Solutions Strategist
- The Strategist owns business discovery, ROI narrative, stakeholder alignment, and rollout planning. The engineer owns technical discovery, solution design, prototyping, implementation, and production readiness
- This is a deeply client-facing role. You will spend significant time with customers and end users, moving projects from bootcamp and workflow discovery through implementation, launch, and steady production usage
- Translate customer goals into clear system requirements and non-functional requirements covering security, privacy, reliability, performance, scalability, and cost
- Partner directly with customers to understand current workflows, constraints, systems, data quality, and adoption blockers
- Create and maintain solution architecture artifacts:
- System context and data flow diagrams
- Integration plan across Ramp and customer systems
- Security model covering permissions, access patterns, and auditability
- Evaluation plan covering quality metrics, acceptance tests, and red-teaming
- Operational plan covering monitoring, alerting, incident response, and runbooks
- Leverage core Ramp primitives to build efficiently, reusing existing product capabilities wherever possible
- Prototype and validate workflows with end users to de-risk the approach and prove product-market fit
- Drive projects from bootcamp and technical discovery through implementation, production launch, and operational handoff
- Ensure deployed workflows are reliable, supportable, measurable, and adopted by customer teams
- Convert deployments into reusable patterns, components, and playbooks for future AI Solutions projects
Our take
Ramp provides companies with a dual offering of corporate cards and a spending management dashboard. The dashboard allows companies to oversee their costs, automate manual accounting practices, reimburse out-of-pocket spending, and earn cashback on financial outlays.
Founded in 2019 and coming out of stealth in 2020, the company quickly reached a valuation of a whopping $8.1B in early 2022 and hit $22.5B in 2025. Its clients include several big-name companies, including fast-growth health tech startup Ro, Planned Parenthood, and Truebill. 90% of its customers have made the switch from legacy players such as Expensify and Concur, showing that Ramp provides real customer value.
The team that built Ramp is the same one that launched the automated price tracking company Paribus before selling it to Capital One. It is now focused on scoping out more M&A opportunities and boosting its headcount to support investing in its software and going into new verticals.
Freddie
Company Specialist at Welcome to the Jungle
Insights
77% employee growth in 12 months
Company
Funding (last 2 of 13 rounds)
Jun 2026
$750m
SERIES F
Nov 2025
$300m
GROWTH EQUITY VC
Total funding: $2.9bn
Company benefits
- Comprehensive medical, dental, and vision insurance
- One Medical Membership
- 401(k) including an employer match
- Unlimited PTO
- Parental leave
- Monthly wellness stipend
- WFH stipend
- Relocation support to move to NYC
- Pet Insurance
Company HQ
Ukrainian Village, New York, NY
Leadership
Eric Glyman
(Co-Founder & Co-CEO)Studied Economics at Harvard. Was a Trustee at Global China Connection for over 5 years, and then became a Financial Analyst working at Millstein & Co. Co-founded Paribus, which became Capital One.
Karim Atiyeh
(Co-Founder & Co-CEO)Studied Computer Science at Harvard, and became a Teaching Fellow. Worked in PowerPoint and Excel at Oliver Wyman. Became an Advisor at One Zero Capital. Founded and served as CTO to Paribus, later sold to Capital One.
Gene Lee
(Co-Founder & Growth Lead)Studied at and became a Research Assistant at the University of Chicago. Was a Marketing Contractor at AdBlock and worked as a Software Engineer at BTCjam. Worked again as a Software Engineer at Paribus and then became Senior Engineering Manager at Capital One.
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