NYC AI careers guide · Roles refreshed August 13, 2026
Ramp careers: 136 open roles right now
The $44B finance-automation company is the largest private company in New York AI — and one of the city’s biggest AI engineering organizations. 102 of the current openings are in New York. Roles below are pulled daily from Ramp’s own job board; every link goes to their application page, not ours.
What you’d be joining
Ramp started with corporate cards and became the finance-automation platform: expense management, procurement, bill pay, and treasury, increasingly run by AI agents rather than form-filling humans. Its June 2026 Series F — $750M led by ICONIQ, GIC, and Ontario Teachers’ at a $44B valuation — nearly tripled the company’s value in a year, and the pitch investors bought was explicitly the AI story: agents that do finance work, not software that helps humans do it.
For engineers, that translates into three broad problem spaces: the agent layer (automating real financial workflows where mistakes cost real money), the data platform underneath it, and product engineering at a pace Ramp is famous for. It is a place engineers go to ship weekly, not quarterly.
Headquarters: 28 West 23rd Street, Flatiron — see it on the NYC AI map. Founded 2019; ~1,200 employees; crossed $1B annualized revenue in August 2025; valuation $44B as of June 2026, per Ramp’s Series F announcement.
Open roles at Ramp
Fetched August 13, 2026 from Ramp’s public job board — engineering and New York roles ranked first.
- Security Engineer, CloudNew York, NY (HQ)
- Mobile Engineer, AndroidNew York, NY (HQ)
- Software Engineer, FrontendNew York, NY (HQ)
- Mobile Engineer, iOSNew York, NY (HQ)
- GTM Systems Engineer, SalesforceNew York, NY (HQ)
- Staff Software Engineer, iOSNew York, NY (HQ)
- Software Engineer, Data Platform New York, NY (HQ)
- Software Engineer, StablecoinNew York, NY (HQ)
- Software Engineer Internship, Android New York, NY (HQ)
- Software Engineer, Growth PlatformNew York, NY (HQ)
- Security Engineer, ProductNew York, NY (HQ)
- Security Engineer, PrivacyNew York, NY (HQ)
- Software Engineer, Core ProductNew York, NY (HQ)
- Technical Recruiter | Engineering New York, NY (HQ)
- Applied AI EngineerNew York, NY (HQ)
- Software Engineer, Fraud & IdentityNew York, NY (HQ)
- Software Engineer, CreditNew York, NY (HQ)
- Software Engineer, Bill Pay & ProcurementNew York, NY (HQ)
- Data ScientistNew York, NY (HQ)
- Software Engineer, Developer APINew York, NY (HQ)
- Software Engineer, Frontend, Ramp RevenueNew York, NY (HQ)
- Backend Engineer, Ops EngineeringNew York, NY (HQ)
- Design EngineerNew York, NY (HQ)
- Software Engineer, Engineering PlatformNew York, NY (HQ)
- Software Engineer, Production EngineeringNew York, NY (HQ)
- Senior Applied Scientist, Credit RiskNew York, NY (HQ)
- Software Engineer, Backend, Marketing ProductNew York, NY (HQ)
- Software Engineer, OnboardingNew York, NY (HQ)
- Applied AI Engineer, FullstackNew York, NY (HQ)
- Senior Security Engineer, EndpointNew York, NY (HQ)
What it pays
Rampdoesn’t publish salary bands for most roles, so calibrate against the market it hires in: US AI and ML engineers run roughly $150k–220k base at mid-level and $220k–300k senior, and New York offers typically land 15–25% above those national bands — before equity, which at a company of Ramp’s stage is a real part of the conversation. At $44B and still private, the equity conversation is about growth from an already-large base — worth asking how refreshers and secondaries work rather than dreaming in multiples.
Full breakdowns by role and seniority: the AI engineer salary guide and the NYC-specific numbers.
How to stand out
We vet AI engineers for a living, and companies hiring at Ramp’s level screen for the same signals we do: production ownership (a system running today, and what broke first), evaluation discipline (how you knew it worked before users did), and cost awareness (what it cost to run, and what you did about it). Polished side-projects lose to one honest production story every time.
Ramp’s own careers page publishes its bar — “If this person started a company, would we join them?” — and says it prizes people who “build without permission.” Frame your best work as speed-with-judgment: what you shipped, how fast, what broke, and what you fixed the same week. A finance-domain war story — money movement, reconciliation, fraud — carries extra weight.
Full preparation guide: the AI engineer interview questions companies actually ask.
Or let companies come to you
Ramp is one of a hundred NYC AI companies competing for the same engineers. Join our vetted network and get matched with scoped contract work and placements across the ecosystem — including roles that never hit a public board.
Frequently asked questions
How many open roles does Ramp have right now?+
The live list on this page pulls directly from Ramp’s own job board and refreshes roughly daily — the count in the heading is current as of the date shown. Ramp hires continuously across engineering, design, sales, and operations, with most technical roles based in New York.
Is Ramp an AI company?+
Honest answer: Ramp is a fintech whose product is increasingly powered by AI — agents for expense review, procurement, and accounting workflows — rather than an AI-native company selling models. That distinction matters for candidates: most engineering work is product and platform engineering with AI woven in, and dedicated applied-AI roles are a growing minority. Our NYC AI 100 lists Ramp with exactly that footnote.
What does Ramp pay engineers in NYC?+
Ramp doesn’t publish bands for most roles. Market context: US AI/ML engineers run roughly $150k–220k base mid-level and $220k–300k senior, with New York offers typically 15–25% above national bands — and Ramp competes at the top of the New York market for senior product engineers. Equity at a $44B private company is a meaningful but illiquid component; ask about refresh policy and past secondary opportunities.
How hard is it to get hired at Ramp?+
Very competitive — it is one of the most-searched employers in New York tech. The screening bar rewards production evidence: systems you shipped and operated, measurable outcomes, and speed. A specific story about moving a real metric quickly beats a polished portfolio of side projects.
Neuronify is not affiliated with Ramp. Role data comes from Ramp’s public job-board API and refreshes roughly daily; apply through their official pages linked above. Company figures are sourced and dated in our NYC AI 100 research.