GTM Engineer, Nominal

• You have 2+ years in an analytical / data engineering / software engineering role
• You write SQL and at least one scripting language (Python preferred) and use them to build within a defined scope, not just to query
• You're fluent with AI tooling and put it to work in what you build — LLMs for enrichment, scoring, drafting, or agentic workflows
• You've built end-to-end data pipelines: you can speak to inputs, transformations, outputs, and how you kept them from silently breaking
• You can take a clearly scoped problem and return a working tool; you ask good clarifying questions when a spec is incomplete rather than filling gaps yourself
• You can quantify your impact in revenue terms — pipeline influenced, hours removed, cost per lead
• You maintain data governance, quality, and integrity inside fast moving software systems; changing your system does not mean losing data or data enrichments
• You can design software without a dedicated designer; you can develop interfaces that work for and grow with an entire revenue org

Desirable

• This is our first GTM Engineer. You will influence the technical infrastructure that the revenue org runs on: the data pipelines built on top of our Salesforce architecture, the internal tools that turn that data into action, and the automated workflows that connect our stack
• RevOps has built the first generation of these systems — live forecast trackers, automated call-routing from Gong into Slack, account-scoring dashboards, comp calculators, a contract-monitoring bot, and the Salesforce schema work underneath all of it
• That backlog has outgrown a single operator. You will take ownership of it, harden what exists, and build what doesn't yet
• This is a full-stack revenue infrastructure role
• You report directly to the Head of Revenue Operations, who will define priorities and scope of your work, and you’ll partner across Sales, Marketing, Customer Success, and Data
• Learn our Salesforce and overall sales tooling architecture well enough to build on top of it — the data model, field taxonomy, and dependency logic — and flag where it needs to change so the systems you build stay reliable
• Build the data pipelines that move information between Salesforce, Gong, Common Room, Slack, and our enrichment sources as scoped by your manager or lead — and keep them accurate, monitored, and live
• Ship internal tools assigned to you: forecast trackers, scoring dashboards, comp calculators, deal-desk monitoring executing against specs your manager defines
• Build signal-based and AI-driven workflows based on defined requirements: routing, enrichment, next-best-action surfacing, and automated outreach support across the funnel
• Support Area Directors, AEs, and CSwith tools and fixes your manager prioritizes, surfacing friction you’re noticing along the way
• Define and defend data quality across the stack — pipeline health, field hygiene, and sync integrity are yours to own
• Own and maintain code repositories governing internal GTM tooling, ensuring that these systems are maintainable, secure, legible, and compliant
• Prototype and rapidly iterate on new tooling and integrations as the shape of the GTM function evolves at Nominal