GTM Systems Engineer

Join Rogo as a GTM Systems Engineer, where you will build and own the systems layer behind our revenue engine. This role goes beyond traditional Salesforce administration, requiring you to question and innovate how companies use GTM technology. You will manage Salesforce and its surrounding stack, own quote-to-cash and CPQ tooling, and design the customer lifecycle. Additionally, you will integrate AI into our GTM motion and ensure data quality. This is a builder-operator role with wide latitude, reporting to RevOps leadership and collaborating with various teams.

Missions

• Ownership of Salesforce and surrounding tech stack, including Gong, Clay, Apollo, Lusha, and others.
• Building and maintaining Salesforce customizations, integrations, and administration.
• Designing and implementing AI capabilities into the GTM motion, including health and scoring models.

Profil recherché

- We are optimizing for real GTM systems experience over years-on-paper. Apex, CPQ, and applied AI are all areas where the bar is shifting fast and few candidates have deep, traditional tenure in all of them; what we actually need is someone who has been the systems owner on a revenue team long enough to have broken things, fixed them, and built the guardrails so they didn't break again

- Ability to take a vague business problem, scope it into a technical spec, and execute it without a roadmap handed to you

- Comfort with SQL and enough Python or scripting to build and debug your own pipelines, integrations, and backfills

- Strong written communication. You can explain what a system does, why it was designed that way, and what the trade-offs were, to both engineers and GTM leadership

- Within that, meaningful, recent time owning other GTM tooling beyond Salesforce itself: Gong, Clay, Apollo, Lusha, Nooks, Default, LinkedIn Sales Navigator, DocuSign, or close equivalents, including the integration and access layer between them

- Working familiarity with Apex, SOQL, and Lightning Web Components, not necessarily years as a professional developer, but enough fluency to read, reason about, and validate code so you can use AI coding tools like Claude Code to build, test, and deploy it properly and safely

- Recent, concrete experience leveraging AI and LLMs in GTM systems: health and scoring models, MEDDPICC scorers, account research agents, or comparable production work. This is a newer discipline, so we care far more about depth on one or two real, shipped examples than about breadth of buzzwords. You should be able to walk through what you built, how it was evaluated, and what it changed

- 5+ years owning GTM systems in a revenue, sales, or RevOps organization, the large majority of it hands-on administering Salesforce as a system of record, not just using it

- Demonstrated experience building out full GTM tech stacks and owning many parts of them, not just one system in isolation

- Hands-on experience with CPQ tooling, quote-to-cash, and customer lifecycle design, including quoting controls, contracts, entitlements, and renewals. We don't expect deep CPQ platform-engineering tenure; we expect you've owned it in production and understand its logic well enough to configure and troubleshoot it

- You are curious. You find joy in learning about AI, technology, and finance

- You are collaborative, organized, thoughtful, and kind

- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup

- You are ambitious. You have fun solving problems that others think are impossible

- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity

- Salesforce certifications (Administrator, Advanced Administrator, Platform Developer I)

- Production experience with iPaaS or automation platforms such as Workato, n8n, Tray, or Zapier

- Experience with the modern data layer: Snowflake, dbt, Fivetran, Hightouch, or reverse ETL into GTM systems

- Experience in a compliance-sensitive environment such as SOC 2, SOX, or IPO readiness

- Experience building or extending MCP servers, agent frameworks, or LLM orchestration tooling

- Experience at a company that scaled significantly during your tenure