Software Engineer, GTM Platform
Backend Engineer · Mid · Full Time
Opens Ramp's application page
Role
What you'll do.
As a Software Engineer on GTM Platform at Ramp, you'll build end-to-end software solutions that power the go-to-market function, including demo environments, customer sandboxes, and AI-powered internal workflows. This role bridges product engineering and revenue operations, requiring you to own high-impact projects that directly enable Sales, Solutions, and Account Management teams to close deals faster and demonstrate Ramp's capabilities at scale. You'll partner cross-functionally with go-to-market teams to translate field feedback into scalable platform improvements while working in a fast-paced, high-agency environment managing billions in transaction flow.
Responsibilities
- End-to-End Software Ownership: Own complete software development lifecycle for go-to-market tools—from gathering requirements from Sales, Solutions, and Account Management teams to shipping production-grade, scalable solutions that serve hundreds of internal users and indirectly impact customer acquisition and retention.
- Demo and Sandbox Infrastructure Development: Design and implement robust demo environments and customer sandbox infrastructure that enable realistic, repeatable product demonstrations at scale. Ensure these systems reliably showcase Ramp's core capabilities (payment authorization, risk flagging, spend categorization) to prospective customers with minimal manual intervention.
- AI-Powered Workflow Engineering: Build intelligent internal agents and automated workflows that reduce manual work in the sales process, accelerate deal cycles, and help teams solve customer-specific blockers. Integrate with modern LLM platforms to create autonomous systems that improve team velocity and customer experience.
- Cross-Functional Partnership and Requirements Translation: Collaborate closely with Sales, Solutions, Customer Success, and Account Management teams to understand pain points, translate ambiguous commercial needs into clear product requirements, and prioritize work based on business impact and leverage across GTM functions.
- Platform vs. Point Solution Tradeoff Analysis: Make strategic engineering decisions between building one-off enablement tools versus investing in reusable platform capabilities. Architect solutions that maximize leverage across all go-to-market teams while maintaining development velocity and code quality standards.
- Data-Driven Metrics and Impact Analysis: Establish and track KPIs for GTM platform initiatives including deal velocity improvements, time-to-demo reduction, sales enablement adoption rates, and customer satisfaction metrics. Use data to inform prioritization and demonstrate the business value of platform investments.
Qualifications
What we look for.
Technical
Backend API Development
Strong proficiency in designing and building scalable REST or GraphQL APIs. Experience with production systems handling high transaction volumes, data consistency requirements, and complex business logic. Understanding of API authentication, authorization, rate limiting, and monitoring.
Database Design and Optimization
Solid understanding of relational database design, query optimization, and scaling strategies. Experience with databases like PostgreSQL or MySQL, including schema design, indexing, and performance tuning for complex queries involving spend, transaction, and user data.
System Architecture and Scalability
Experience designing systems that scale horizontally. Understanding of caching strategies, async job processing, message queues, and microservices architecture. Ability to anticipate scaling challenges and design solutions that handle millions of transactions reliably.
Modern Development Practices
Proficiency with version control (Git), CI/CD pipelines, automated testing, and code review processes. Experience with infrastructure-as-code, containerization (Docker/Kubernetes), and cloud platforms (AWS, GCP, or Azure).
AI/LLM Integration
Experience integrating large language models and AI capabilities into production systems. Familiarity with prompt engineering, AI agent frameworks, and best practices for building reliable AI-powered workflows at scale. Understanding of cost optimization and hallucination mitigation.
Education
Computer Science or Related Field (Preferred)
Bachelor's degree in Computer Science, Software Engineering, or equivalent field. However, demonstrated engineering capability and shipped software systems may substitute for formal education. Ramp prioritizes what you've built over where you trained.
Experience
Software Engineering Experience
2+ years of professional software engineering experience, with demonstrated ability to design, implement, and ship production systems used by real users at scale. Experience shipping multiple features or products from conception through deployment.
High-Impact Product Shipping Track Record
Proven track record of shipping high-quality products, internal tools, or platform capabilities that delivered measurable business impact. Examples might include sales enablement tools, customer-facing platforms, or internal operational software used by 100+ users.
Internal User Empathy and Collaboration
Experience working closely with non-engineering stakeholders (sales, operations, customer success, finance) to understand their workflows, pain points, and requirements. Demonstrated ability to translate feedback into product decisions and communicate technical tradeoffs clearly.
Fast-Paced Execution Environment
Comfortable working in high-velocity, ambiguous environments where requirements evolve quickly. Ability to balance velocity with quality, make decisions with incomplete information, and adapt to shifting priorities based on business impact.
Skills
Required
Backend Programming Languages
Proficiency in backend languages such as Python, Go, Java, Node.js, or Rust. Demonstrated ability to write clean, maintainable, well-tested code that scales in production environments.
API Design and REST/GraphQL
Deep understanding of HTTP fundamentals and modern API design patterns. Experience building RESTful services or GraphQL APIs with proper error handling, versioning, and documentation.
SQL and Relational Databases
Advanced SQL proficiency including complex joins, window functions, and query optimization. Hands-on experience with PostgreSQL or MySQL in production environments managing large datasets.
Full-Stack Product Development
Ability to own products end-to-end from backend infrastructure to frontend interfaces. Capable of making architectural decisions about service boundaries, data models, and deployment strategies.
Problem-Solving and Debugging
Strong analytical and debugging skills. Ability to quickly diagnose production issues, trace problems across distributed systems, and implement sustainable fixes rather than band-aids.
Cross-Functional Communication
Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical stakeholders, gather requirements from business teams, and collaborate effectively in a fast-paced environment.
Preferred
AI/LLM Integration Experience
Nice to havePrevious experience building AI-powered features or integrating language models into production systems. Familiarity with frameworks like LangChain, agents architecture, and prompt engineering best practices.
FinTech or Finance Domain Knowledge
Nice to haveBackground working in financial technology, payment processing, or spend management platforms. Understanding of accounting workflows, payment authorization flows, or expense categorization logic.
Sales Enablement or RevOps Tools
Nice to havePrevious experience building internal tools for go-to-market teams, sales automation platforms, or customer enablement systems. Understanding of sales workflows and what drives team productivity.
Sandbox and Demo Environment Architecture
Nice to haveExperience designing isolated environments for product demonstrations, testing, or customer onboarding. Knowledge of data seeding strategies, environment management, and ensuring demo reliability at scale.
Observability and Monitoring
Nice to haveHands-on experience with monitoring, logging, and tracing platforms (Datadog, New Relic, Grafana). Ability to instrument code effectively and establish alerting that catches issues before customers do.
Agile Development and Rapid Iteration
Nice to haveTrack record of working in two-week sprints or shorter cycles, comfortable shipping incrementally and gathering feedback rapidly. Experience balancing technical debt with velocity in high-growth environments.
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 189,000 – 330,000
Equity·Stock options
Benefits
Flexible PTO
Unlimited paid time off policy allowing you to balance work and personal life. Ramp trusts employees to take the time they need, which is increasingly standard at high-performing tech companies.
Home Office Equipment
Centralized ordering system for home office essentials including monitors, keyboards, chairs, standing desks, and other equipment needed to maintain an ergonomic, productive workspace whether you're remote or hybrid.
Health and Wellness Stipend
Annual budget for health, fitness, and wellness expenses such as gym memberships, yoga classes, mental health services, or personal training. Supports maintaining physical and mental wellbeing in a high-paced environment.
Intra-Office Travel Budget
Budget for traveling between Ramp's office locations (primarily NYC and SF) for team collaboration, cross-office meetings, and in-person engineering time. Supports the collaborative culture while respecting flexible work arrangements.
Weekly Coffee Stipend
Recurring budget to support your local coffee shop habit or preferred beverage. A small but consistent benefit that shows company attention to quality-of-life details.
Full posting
Original listing.
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
As a Software Engineer on GTM Platform, you will build the tools, systems, and AI-powered workflows that help Ramp’s go-to-market teams show what is possible for prospective and existing customers. You’ll work at the intersection of product engineering and revenue: creating high-quality demo environments, customer sandboxes, and internal platforms that make it easier for Sales and Solutions teams to move quickly, tell compelling product stories, and unblock complex deals.
Our work directly shapes how the world experiences Ramp before—and as—it becomes a customer. You’ll take ambiguous commercial needs, turn them into thoughtful product experiences, and ship reliable software end to end.
What You’ll Do
Build and own software end to end for Ramp’s Sales, Solutions, and customer-facing go-to-market teams—from understanding pain points and defining product requirements to shipping polished, dependable tools.
Develop demo and sandbox infrastructure that lets teams showcase Ramp’s capabilities in realistic, compelling, and repeatable ways.
Build AI-powered internal workflows and agents that reduce manual work, accelerate deal cycles, and help go-to-market teams solve customer-specific blockers.
Partner closely with Sales, Solutions, Customer Success, Account Management, and core product engineering to turn field feedback into scalable product and platform improvements.
Make strong engineering tradeoffs between a one-off enablement need and a reusable platform investment, raising the leverage of every GTM team that uses your work.
What You Need
2+ years of software engineering experience preferred
A track record of shipping high-quality products, internal tools, or platform capabilities with real users and measurable impact.
Track record of shipping high-quality products at scale
Excellent collaboration skills and genuine empathy for internal users, especially customer-facing teams.
Desire to work in a fast-paced environment, continuously grow, and master your craft
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 support to NYC or SF (as 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.
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