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GTM Systems Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: Rogo
Full Time position
Listed on 2026-09-09
Job specializations:
  • Software Development
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Location: New York

Why Rogo

Our mission is to transform global finance by empowering professionals at the world's top investment banks, private equity funds, and investment firms with AI that delivers unparalleled speed, accuracy, and insight. We're not just improving financial workflows; we're redefining them.

This is a unique opportunity to join a generational company driving transformation in one of the most important industries in the world. With a rapidly growing, global client base, proven product-market fit, and backing from world-class investors, we are scaling quickly and defining a new category of enterprise AI.Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users.

If you thrive in a fast‑paced environment, demand excellence, and want to help build the future of finance, we invite you to join us.

The Role

We're hiring a GTM Systems Engineer to build and own the systems layer behind Rogo's revenue engine. This is not a conventional Salesforce Admin seat. You will need those skills, deeply, but the job is to question how companies use GTM technology today and then build what replaces it.

You will own Salesforce end to end alongside the surrounding stack:
Gong, Clay, Apollo, Lusha, Nooks, Default, Linked In Sales Navigator, Docu Sign, and whatever we adopt next. You will own quote-to-cash and CPQ tooling, the contract and entitlement layer, and the customer lifecycle that runs on top of them.

Most importantly, you will build with AI as a first‑class tool, not a side project. Health and scoring models, MEDDPICC scorers, account research agents, enrichment and routing agents, MCP servers that let LLMs read and write our GTM data safely. You will use Claude Code and similar tooling to build, test, and deploy real Apex and Lightning Web Components, with the engineering discipline to do it properly.

You'll report into Rev Ops leadership and work directly with Sales, Sales Development, Customer Success, Deal Desk, Finance, and Engineering. This is a builder‑operator role with wide latitude: you help pick the highest‑leverage problem, ship it, and own how it runs.

What You Will Own

Salesforce and the GTM Tech Stack Own Salesforce end to end: data model, schema, Flows, validation rules, permissions, record pages, Dev Ops hygiene, and platform reliability across the full revenue lifecycle.

Build and maintain Salesforce customizations in Apex, SOQL, Flow, and Lightning Web Components, with tests, deployment discipline, and documentation that survive you.

Own administration and integration of the surrounding stack:
Gong, Clay, Apollo, Lusha, Nooks, Default, Linked In Sales Navigator, Docu Sign, and new tools as we adopt them.

Architect integrations between Salesforce and the rest of the stack, and own the API, OAuth, and access patterns that make them reliable.

Own the full user access lifecycle across GTM systems: provisioning, role and permission changes, and deprovisioning, with access designed by audience rather than one blanket profile.

Evaluate, pilot, and consolidate tooling. Be opinionated about what earns a seat in the stack and what should be retired.

Quote-to-Cash, CPQ, and Customer Lifecycle Own CPQ and quoting controls, including ramp and multi‑year structures, approval paths, and the guardrails Deal Desk relies on.

Own the contract and entitlement layer: order form and contract extraction, activated contract records, seat and license rollups, billing structure, and the exception reporting that keeps them honest.

Own renewal, expansion, and churn mechanics in the system: how renewal opportunities are generated, deduplicated, forecast, and reconciled against contract cycles.

Design the customer lifecycle in‑system so that pipeline, deployment, health, and renewal all read from the same source of truth.

AI and Agentic Systems Design, build, and ship AI capabilities into the GTM motion: account health and scoring models, MEDDPICC scorers and deal inspection, account research agents, enrichment, routing, and call‑signal extraction.

Build and extend MCP servers and agent tooling so LLMs can read and write GTM data safely, with…

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