# GTM Engineer

**Company:** [Nash](https://hotfix.jobs/companies/nash)
**Location:** Remote
**Role:** GTM Engineering
**Experience:** 4+ years
**Skills:** Solutions Engineering, ai models, Prompt Engineering, REST APIs, Webhooks, JSON, oms, wms, tms, pos, Python, JavaScript, technical demos, pocs, System Architecture
**Posted:** 2026-07-31

> GTM Engineer at Nash who leads technical discovery, designs integration architectures, builds demos/POCs, applies AI to logistics workflows, and supports enterprise sales cycles for their AI-native delivery platform. Requires 4-6 years customer-facing technical experience, hands-on AI and scripting skills, and fluency with enterprise system integrations.

## Job Description

## What You'll Own
- Lead technical discovery: Work with customer engineering, IT, and operations teams to understand their current systems, workflows, data, business rules, constraints, and failure points.
- Design the solution architecture: Turn those findings into a clear integration plan for Nash, including system connections, endpoints, payloads, authentication, webhooks, data ownership, error handling, and required changes.
- Build technical demos and POCs: Configure realistic sandboxes, prepare customer data, write lightweight scripts, connect APIs, and build prototypes against agreed success criteria.
- Own technical validation through the sales cycle: Address architecture, integration, security, data, reliability, and scalability questions. Give customer engineering and IT teams what they need to approve the solution.
- Apply AI to real workflows: Build and test prompts, agents, tool calls, and evaluation sets using realistic scenarios. Measure quality, identify failure modes, and determine whether the workflow is reliable.
- Test new capabilities hands-on: Work with new AI models, agent features, APIs, and product releases as they ship. Build prototypes, test edge cases, document limitations, and identify promising customer use cases.
- Build reusable tooling: Turn repeated work into scripts, test harnesses, sample integrations, demo environments, dashboards, and utilities that accelerate future deals.
- Close the loop with Product and Engineering: Write clear requirements, reproduce bugs, provide sample payloads and logs, and follow through until blockers are resolved.
- Raise the technical bar across GTM: Train AEs on technical fundamentals, mentor future SEs, and build the playbooks and onboarding materials the team will use as it grows.

## What We're Looking For
- 4 to 6 years in solutions engineering, presales, technical GTM, growth engineering, or a similar customer-facing technical role, with ownership from discovery through technical validation.
- Hands-on comfort with AI tools and models: you’ve designed prompts, built agents, run evaluations, tested failure modes, and tried new frameworks yourself, not just read about them.
- Real building ability: you can write scripts, transform data, work with APIs, debug integrations, and stand up a sandbox, prototype, or internal tool without waiting for an engineer.
- Fluency with system architecture and integration patterns, including REST APIs, webhooks, authentication, JSON payloads, and data flows across systems such as OMS, WMS, TMS, and POS.
- Experience designing and running technical demos, trials, or POCs with clear requirements, success criteria, and a path to a real customer decision.
- Strong technical discovery skills: you can work across stakeholders to uncover edge cases, dependencies, data gaps, and requirements customers may not articulate.
- Comfort operating in complex enterprise environments spanning multiple regions, channels, workflows, and integrations.
- Ability to turn technical complexity into clear architecture diagrams and explain tradeoffs to engineers, IT leaders, operators, and executives.
- Ownership instinct, strong product judgment, and comfort working through incomplete requirements and ambiguity.

## Even better if you have
- 2+ years in a sales engineering or growth engineering role
- Experience shipping AI-native product features or agents into production
- Experience in logistics, delivery, or supply chain.

## Compensation & Benefits
- 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.

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