GTM Engineer

Mosaic.tech; Town of Texas (WI); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

100% coverage of medical, dental, and

vision insurance

Unlimited PTO and sick leave

Free lunch, snacks, and coffee

Professional development stipend

Annual company retreat

Job summary

Nominal is building the connected test and operations platform for hardware teams. We seek a GTM Engineer to own revenue tooling, data pipelines, and internal automation that informs forecasting and deal execution.

The role collaborates across Sales, Marketing, CS and Data to deliver reliable tooling with strong governance. You will design, build, and maintain data flows between Salesforce, Gong, and enrichment sources, implement AI-driven workflows, and ship dashboards and calculators that

Qualifications

• 2+ years in an analytical / data engineering / software engineering role.
• SQL and at least one scripting language (Python preferred).
• Fluent with AI tooling and applying it to tooling.
• Built end-to-end data pipelines with clear inputs, transforms and outputs.
• Can scope problems and deliver working tools; asks clarifying questions.
• Can quantify impact in revenue terms for pipelines you influence.
• Maintains data governance, quality, and integrity in fast-moving systems.
• Designs software interfaces for a revenue org without a dedicated designer.

Responsibilities

• Learn Salesforce and sales tooling architecture; adapt data models and logic.
• Build data pipelines moving data between Salesforce, Gong, Common Room, Slack and enrichments.
• Ship internal tools: forecast trackers, scoring dashboards, deal-desk calculators.
• Create AI-driven workflows: routing, enrichment, next-best-action, outreach support.
• Support Area Directors, AEs, and CS with tools and fixes prioritized by leadership.
• Define and defend data quality across the stack; ensure pipeline health and integrity.
• Own code repositories for internal GTM tooling; keep systems maintainable and secure.
• Prototype and iterate on new tooling as the GTM function evolves.

Skills

SQL

Python

AI tooling

Data pipelines

Analytical thinking

End-to-end delivery

Tools

Gong

Common Room

Clay

LLM tooling

Job description

GTM Engineer

New York, NY, Los Angeles, CA, Austin, TX

Sales

In office

Full-time

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.