GTM Engineer

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.