GTM Engineer

Nash

GTM Engineer driving solutions in logistics at Nash. Engaging with enterprise clients and leading technical discussions to optimize their use of the platform.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in customer-facing solutions engineering with a strong focus on AI tools, system architecture, and integration patterns. Capable of leading structured discovery workshops and building internal tools to enhance operational efficiency and support sales processes.

Highest-signal resume keywords

Customer-Facing ExperienceAI Tools and ModelsStructured Discovery WorkshopsSystem Architecture and IntegrationScripting and API Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solutions EngineeringPrompt DesignScriptingAPI IntegrationSystem ArchitectureData FlowsWorkshop FacilitationROI ModelingSandbox Environment SetupTechnical Documentation

Soft Skills

Strong CommunicationMentoringCollaborationProblem-SolvingCustomer Engagement

Tools & Technologies

AI ModelsInternal DashboardsValue CalculatorsOMSWMSTMSPOSCarrier Integrations

Industry Keywords

GTM EngineeringRevenue OperationsGrowth EngineeringLogisticsSupply Chain

About the role

Key responsibilities & impact

Be first in, always: test new AI models, agent capabilities, and product features as they ship, and find new, unexpected ways to put Nash's platform to work for a customer, before anyone asks you to.
Run the full cycle: lead discovery calls that get to the real constraints of a large, complex merchant, deliver demos mapped to that reality, and design and run trials with clear success criteria all the way to a real decision.
Make the value case, not just the technical case: run structured value discovery workshops, establish a baseline before anything changes, and build an ROI model on the customer's own numbers, one a finance stakeholder could trace back to something real.
Map how Nash actually fits into their stack: get past the diagram and understand how a large, multi-region, multi-channel merchant's business actually operates (OMS, WMS, TMS, POS, carrier integrations), then show exactly where Nash sits, what calls what, and what changes.
Build real tooling, not just documentation: turn what works into scripts, sandbox environments, internal dashboards, and value calculators that make the next ten deals faster, not just the one in front of you.
Enable the rest of the team: train AEs on the technical and value fundamentals they need to run early conversations themselves, mentor newer SEs as the team grows, and build the onboarding path future hires will actually use.
Close the loop with product and engineering: turn what you're hearing from customers into something product and engineering can actually act on, and follow up until it lands, not just log it and move on.

Requirements

What you’ll need

4-6 years of customer-facing experience in a solutions engineering, pre-sales, or technical GTM/growth engineering role, ideally with real ownership of full cycles.
Hands-on comfort with AI tools and models yourself: you've done prompt design, run evals, poked at a new agent framework the week it launched, not just read about it.
Comfort running structured discovery, including workshop-style sessions with multiple stakeholders, to get past the stated ask to the real use case.
Some real building ability: comfortable scripting, working with APIs, and standing up a sandbox or internal tool without waiting for an engineer to do it for you.
Real fluency with system architecture and integration patterns (APIs, webhooks, data flows, how an OMS/WMS/TMS/POS talks to outside systems), and the ability to represent that clearly in a diagram.
Comfort operating at enterprise scale and complexity: multi-region, multi-channel merchants with dozens of existing integrations, not simple single-location workflows.
A real builder's instinct, and strong communication across technical and business stakeholders.
Even better if you have: 2+ years in a GTM engineering, revenue operations, or growth engineering role; experience shipping AI-native product features or agents into production; experience in logistics, delivery, or supply chain.

Benefits

Comp & perks

Competitive base salary + variable compensation (OTE aligned with top-quartile SaaS benchmarks).
Equity in a fast-growing venture-backed company.
Health, dental, vision, and 401(k).
Flexible PTO and remote-first culture.