GTM Engineer

Role Description

This is a foundational technical hire. We’re building out our Solutions Engineering function and need someone who can understand complex systems, build working solutions, and explain them clearly to customers.

• Lead technical discovery:
• Run working sessions with customer engineering, IT, and operations teams.
• Review architecture, data formats, APIs, business rules, exception paths, security needs, and integration constraints.
• Design the solution architecture:
• Map how Nash connects to internal systems.
• Define endpoints, payloads, authentication, webhooks, data ownership, failure 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.
• Troubleshoot the solution:
• Inspect payloads, logs, authentication errors, data mismatches, and workflow failures.
• Work with customers and Nash engineering to isolate and resolve issues.
• 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.

Qualifications

• 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.

Requirements

• 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.

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.

Company Description

Nash is the platform that powers modern logistics.

• Nash unifies decisioning, execution, and capacity into a single programmable platform.
• Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source.
• We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths.
• Nash was founded in 2021 by Mahmoud Ghulman and Aziz Alghunaim and is backed by Y Combinator, a16z, and other top investors.
• We are headquartered in San Francisco.