Build and maintain GTM revenue infrastructure: Salesforce data model, data pipelines between sales tools, internal tooling (forecast trackers, comp calculators, dashboards), AI-driven workflows, and code repos. Partner with Sales, Marketing, and CS to improve data quality, automation, and tooling reliability while prototyping new integrations and maintaining governance.
About Nominal
🚀 About the role
🙌 We’d love to hear from you if
⚡ Skills that supercharge us
✨ Benefits/Perks
Nominal is building the connected test and operations platform powering the world's most advanced hardware systems, from spacecraft and autonomous vehicles to next-generation defense programs. Our platform gives hardware engineering teams a single place to ingest data, analyze performance, automate test execution, and collaborate across every phase of development, so they can move faster without sacrificing safety or precision. We're a fast-moving team that owns problems end-to-end, works across disciplines, and thrives at the intersection of hardware and software.
We serve top-tier commercial and defense customers, from autonomy leaders like Anduril and Shield AI to next-generation aerospace teams like Hermeus and REGENT, and performance engineering teams like Pratt Miller Motorsports, alongside mission partners within the U.S. Navy and U.S. Air Force on programs where failure isn’t an option. We’re backed by Sequoia, General Catalyst, Founders Fund, Lux Capital, and Lightspeed. Our team draws from SpaceX, Palantir, Anduril, Applied Intuition, and other leading companies, united by a common mission: giving hardware engineers the tools to build the future with speed, safety, and confidence.
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
- 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
- You've integrated LLMs into GTM workflows (enrichment, scoring rationale, outreach drafting, agentic systems).
- You've applied Model Context Protocol or similar agent frameworks to internal tooling.
- Experience with Gong, Common Room, Clay, or comparable parts of a modern GTM stack.
- You've sold into or supported technical, hardware, or government/defense buyers.
- You've shipped and shared your work publicly — a portfolio of systems you built and the results they produced.
- 🏥 100% coverage of medical, dental, and vision insurance
- 🏖️ Unlimited PTO and sick leave
- 🍽️ Free lunch, snacks, and coffee
- 🚀 Professional development stipend
- ✈️ Annual company retreat
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
ITAR Requirements
To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Nominal Los Angeles, California, USA Office
Los Angeles, CA, United States
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