Ramp jobs

Ramp is hiring a backend/platform engineer for their Payments and Banking team, which builds the foundational systems handling money movement across the company's financial infrastructure serving 50,000+ customers. You'll design and build large-scale backend systems for payments with strict correctness requirements, architect clean abstractions for payments infrastructure, and own problems end-to-end from technical design to production reliability and partner integrations. The role requires 5+ years of backend or platform engineering experience in high-scale production environments, strong systems design skills, comfort with distributed systems and reliability, and a builder mentality with independent problem-solving ability. Experience in fintech, payments, banking, or crypto is nice-to-have but not required. Ramp is a well-funded fintech serving $100B+ in annualized spend with offices in NYC and SF; the role emphasizes high agency and consequential decision-making rather than seniority. The position explicitly requires deep attention to detail in financial systems where correctness matters more than speed, making this a stand-out requirement for someone who thrives on high-stakes infrastructure work.

Product Compliance Program Manager at Ramp, a fintech company automating $100B in annualized spend flow. Role focuses on regulatory advisory, compliance program maturation, and cross-functional risk and legal collaboration (BSA/AML, sanctions, digital assets). Requires 5+ years fintech compliance/risk experience and legal/regulatory expertise, not software engineering. Remote-US eligible, salary $144k–$220k.

Ramp is hiring a Recruiting Operations Associate (Contract) for GTM hiring operations, based in New York/San Francisco but available remotely. The role owns job postings, requisition management, interview scheduling, ATS hygiene, and automation of recruiting processes. Responsibilities include Ashby/careers site management, coordination with recruiters and hiring managers, and identifying opportunities for AI/automation. This is a recruiting operations and People Ops position, not a software engineering role. Compensation is $75k–$100k annually for a contract position.

Ramp seeks a full-time Filmmaker for Customer Stories based in New York (remote available). The role involves shooting, editing, and producing cinematic customer narrative films with 5+ years commercial/documentary filmmaking required. Salary $132k–$162k. This is a creative production role with no software engineering component.

Associate Creative Director for Customer Stories at Ramp (NYC HQ, remote-capable) leading creative direction for customer films and brand storytelling. Requires 7+ years of film/creative direction experience, strong writing skills, and portfolio of branded content or documentaries. Salary: $200k–$275k/year.

Ramp, which automates spend management for 50,000+ companies handling $100B+ in annualized transactions, is hiring a Technical Program Manager to operate at the intersection of engineering, product, and business. You'll lead large-scale technical programs including CI/CD infrastructure, incident response, and strategic initiatives while serving as connective tissue between platform and product engineering teams, owning programs end-to-end from scoping through retrospectives. The role requires 5+ years of TPM experience in high-growth startups, genuine AI fluency with hands-on experience in tools like Cursor and Claude, a technical/analytical degree, and proven ability to earn trust quickly and lead cross-functional teams with urgency—this is a relationship-driven execution role as much as a leadership one. Ramp is a well-funded fintech operating at high scale with significant executive visibility for this position, offering competitive benefits including unlimited AI token usage, relocation support to NYC or SF, and up to 16 weeks parental leave at 100% pay. A standout requirement is genuine AI fluency demonstrated through active daily use of AI coding tools, not just awareness—this role explicitly expects you to experiment with and apply AI to how you run programs.