Engineering Full-time
GTM Engineer
About the Role
ABOUT NOMINAL
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.
🚀 ABOUT THE ROLE
* 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
🙌 WE’D LOVE TO HEAR FROM YOU IF
* 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
⚡ SKILLS THAT SUPERCHARGE US
* 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.
✨ BENEFITS/PERKS
* 🏥 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
[https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987].
Technical Stack in Use
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