GTM Business Systems Engineer, Post Sales

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

We're looking for a Senior Business Systems Engineer to own and evolve Ramp's Post Sales systems. You'll build the products that fuel our onboarding and activation funnel, turn complex commercial agreements into accurate, supportable customer outcomes from original deal closure through expansions, and book of business management

This role sits in Growth Engineering's Business Systems Engineering team and partners closely with Deal Desk, Legal, Finance, Data, Product, and GTM teams. You'll combine hands-on Salesforce engineering with systems design and strong commercial judgment to make high-stakes revenue workflows reliable, scalable, and easier for teams to use.

What You'll Do

• Design, develop, test, and deploy applications on the Salesforce Platform

• Design and operate reliable integrations between Salesforce, our internal revenue app, Data, and adjacent business systems. Own data contracts, idempotency, error handling, reconciliation, and safe lifecycle changes for quotes, contracts, and subscriptions.

• Design, develop, and maintain solutions on iPaaS (Homegrown, Workato, Clay, etc)

• Drive decisions on architecture patterns, tool usage, and designs required for the solution to scale both in terms of speed and scale.

• Write and communicate technical specifications, including architecture diagrams, data model diagrams, process flows, and sequence diagrams.

• Own the data integrity and data assumptions in your focused area and contribute continually.

• Work closely with the rest of the team on code reviews, on-call, build issues, and ideation.

What You'll Need

• 7+ years working with the Salesforce platform

• 5+ years of experience with Systems Architecture and Integrations

• Strong experience with Apex and triggers.

• Working knowledge and experience on other programming languages like Python.

• Strong knowledge of developing Lightning Web Components

• Strong experience of APIs and integrations with Salesforce

• Strong knowledge and working experience of synchronous/asynchronous methods, streaming API, and publish/subscribe design patterns and architectural patterns.

• Familiarity with broader GTM stack beyond Salesforce ( Gong, Leandata, CPQ, Billing Systems)

• Strong and working knowledge of data pipelines.

• Solid understanding or implementation knowledge of CI/CD processes.

• Understanding Salesforce governance limits and code coverage.

• Follow unit-testing best practices and be capable of coding for positive/negative scenarios.

• Excellent verbal and written communication skills

• Experience using AI-assisted development tools thoughtfully and evaluating their output.

• Deep experience building and maintaining Salesforce applications with Apex, Lightning Web Components, Flows, and asynchronous processing.

• Experience with CPQ, pricing, contract lifecycle management, billing, subscriptions, or another Quote-to-Cash domain.

• Strong API and integration-design skills, including reliable handling of retries, duplicate events, partial failures, and data reconciliation.

• Ability to translate complex commercial requirements into simple, durable system behavior in partnership with non-engineering teams.

Nice to Haves

• Snowflake/DBT

• Kafka experience

• Experience with Agile methodologies

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.

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