Solutions Engineer, Nash
+ Variable + Equity
Last-mile delivery platform
Job no longer available
Last-mile delivery platform
101-200 employees
Job no longer available
+ Variable + Equity
101-200 employees
Company mission
To democratize local delivery for business across all industries and sizes.
Role
Who you are
- 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
What the job involves
- This is a foundational technical hire at Nash, an autonomic logistics platform that helps enterprises plan, execute, and manage deliveries across their own fleets, third-party partners, and the Nash delivery network
- 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
- You’ll lead technical discovery, review API documentation and sample data, map integrations, configure demos and test environments, and run POCs with enterprise prospects
- You’ll also test new models, agent capabilities, APIs, and Nash features as they ship, understand where they work and where they break, and turn the strongest applications into practical customer workflows
- Our customers are large enterprises operating fleets across regions, fulfillment channels, and dozens of existing systems
- You’ll need to understand how orders, inventory, dispatch decisions, delivery updates, and exceptions move through that environment, then show exactly how Nash fits into it
- 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
Our take
Nash makes it easier for businesses to manage same-day delivery by aggregating available providers such as Lyft, Uber, and DoorDash on one interface. This leaves the business free to select (or automate) the best option based on cost and availability. The startup works across a growing number of verticals, from food delivery to retail, pharmaceuticals or auto parts.
With a growing consumer demand for fast, hyperlocal delivery, small to medium-sized businesses often struggle to keep up with the logistics and costs. This has led to the emergence of more and more last-mile delivery startups. However, managing the huge variety of delivery options coming onto the market cost-effectively is often overwhelming and time-consuming.
Nash’s strategy of positioning itself between merchants and delivery companies is a clever one, so long as it can continue to build partnerships with both national and local delivery providers. So far, this strategy has paid off, and the company has experienced rapid growth since its founding in 2021. It already covers all of the USA and is eyeing expansion into Canada and the UK in the near future.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2022
$20m
SERIES A
Jan 2022
$9m
SEED
Total funding: $29.2m
Company HQ
The Castro, San Francisco, CA
Leadership
Mahmoud Ghulman
(Co-Founder & CEO)Former MIT Researcher, former Head of Business Development at enterprise AI tech company Mozn. Co-founded and was CEO of gig worker marketplace startup Arsann from 2016 to 2019, and is now a board member.
Aziz Alghunaim
(Co-Founder & CTO)Former Engineer at NYSE listed data software company Palantir Technologies. Is the Co-founder of Tarjimly, a tech nonprofit that connects bilinguals to volunteer as translators for refugees and humanitarian organizations.
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