GTM Senior Business Systems Analyst

ABOUT THE ROLE

Ramp is in a critical phase of growth. We grew immensely last year and are building out a talented business systems team to ensure we maintain this trajectory for years to come. You’ll work directly with our Sales, Account Management, Partnerships, and Product teams to execute mission-critical business systems projects across the organization. This is a key role where you will be uniquely positioned to impact the full picture of Ramp’s growth efforts through systems development.

WHAT YOU'LL DO

- Own a GTM systems domain end to end: its roadmap, the architecture decisions inside it and its operational health

- Build and deploy Salesforce automation end to end: record-triggered and screen flows, validation rules, custom objects and fields, permission sets and approvals

- Translate business requirements into solution designs and write them up as the business outcome they produce rather than a list of objects and fields

- Prioritize incoming requests against ROI. Make the call on what gets built, what gets deferred, and what gets declined, and show the numbers behind it

- Own the integrations across the stack, including lead routing, sequence enrollment, meeting booking, enrichment and partner attribution, spanning Salesforce, HubSpot, LeanData, Outreach, Gong, Chili Piper, ZoomInfo and Workato

- Own the dashboards and data models your domain runs on. Translate business questions into reporting that is accurate, documented and actually used to make decisions

- Drive cross-functional alignment on scope, sequencing, and tradeoffs and carry it through to closure without a manager in the room

- Use AI to move faster on flow logic, test cases, documentation and impact analysis and define the guardrails for how the team uses it with GTM data

WHAT YOU'LL NEED

- 5+ years in business systems at a fast-paced company

- Salesforce Admin certification or equivalent hands-on experience, plus real depth in HubSpot

- Non-trivial Salesforce flows built and debugged when they broke, and a clear view of why declarative automation goes wrong at scale

- A habit of framing problems rather than waiting for a spec: ambiguous requests taken on, decided and shipped

- Fluency translating business requirements into a solution, and authoring that solution in terms of the outcome it drives and how that outcome will be measured

- A metric-driven approach to prioritization: requests ranked on ROI, effort weighed against ongoing maintenance cost and the reasoning made explicit to the requester

- Multi-month projects delivered with cross-team dependencies and no PM attached: sequencing the work, holding scope, flagging risk before it lands, clearing blockers rather than reporting them and keeping everyone informed without being asked

- Fluency with AI tools to build, audit and document faster and a clear sense of where they stop being reliable

NICE TO HAVE

- Experience in channel or marketing systems: partner sourcing, revenue share and payouts, or campaign structure, UTM tracking, lead source and multi-touch attribution

- Cross-functional program management across engineering, sales and finance stakeholders

- A product mindset toward internal tooling: treating stakeholders as users, shipping in phases and measuring adoption after launch

- Snowflake, Looker or similar BI and warehouse tooling

- Working knowledge of Apex or Lightning Web Components, enough to recognize when declarative is the wrong answer

- Linear or similar project management software

- Time spent at a high-growth startup or technology company