Technical Solutions Strategist, Nash
+ Equity
Last-mile delivery platform
Job no longer available
Last-mile delivery platform
101-200 employees
Job no longer available
+ 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 account management, technical program management, or another customer-facing technical role
- Experience owning complex enterprise opportunities from first conversation through close
- A genuine talent for discovery: you ask the question behind the question and push beyond surface-level pain points
- Experience leading structured discovery sessions or workshops that produce clear use cases, requirements, and success criteria
- Hands-on comfort with AI tooling, including actively testing new models and applying them to real customer problems
- Fluency in APIs, webhooks, system integrations, data flows, and enterprise architecture
- Strong financial and analytical skills, including experience building ROI models and defending the assumptions behind them
- Executive presence and the ability to move comfortably between business cases with senior leaders and technical discussions with engineers
- Strong communication and relationship-building instincts, with the ability to operate effectively in ambiguity
- Even better if you have: Experience in value engineering, management consulting, technical program management, enterprise AI deployments, logistics, delivery, or supply chain
What the job involves
- This is a foundational technical hire at Nash, where we’re using AI models and agents to solve complex, real-world operational problems at enterprise scale
- It’s a true Solutions Consulting role, combining traditional sales engineering with value consulting
- You’ll carry a number, but you’ll earn it by helping customers work through both sides of the decision: how Nash will fit into their operation and why the investment is worth making
- We’re building out our Solutions Consulting function and need someone who goes beyond running a strong demo
- You’ll understand how a customer’s fleets, fulfillment channels, workflows, and systems operate, then turn that into a tailored solution, technical design, and business case
- That could mean mapping an integration, shaping a POC, modeling the financial impact, or presenting the recommendation to a CFO or COO
- Our customers are large enterprises with complex operations, and their real challenges rarely surface cleanly in the first call
- This role is about digging until you find the use case that matters, then working in tight loops with the customer to design, prove, and sell the right solution
- Uncover the real pain points and use cases: Lead deep discovery with business and technical stakeholders to understand how the customer operates and where Nash can create the most value
- Design the solution with the customer: Turn discovery into a tailored solution, moving quickly through cycles of scoping, architecture, demos, testing, and refinement
- Map how Nash fits into the customer’s stack: Understand how complex merchants operate across OMS, WMS, TMS, POS, carrier integrations, APIs, and data flows, then show exactly how Nash fits
- Run the sales engineering motion end to end: Own demos, trials, and POCs from discovery through technical validation, executive alignment, and a clear customer decision
- Build and defend the business case: Quantify impact using the customer’s own data and present a compelling case to CFOs, COOs, CEOs, and other economic buyers
- Represent Nash as a credible advisor: Build credibility with prospects and partners, guide complex decisions, and develop a strong point of view on where Nash creates the most value
- Be first in: Test new AI models, agent capabilities, and product features as they ship, and bring the strongest applications into active customer solutions
- Experiment, then codify: Refine discovery frameworks, solution designs, value models, demos, and executive narratives, then turn what works into repeatable approaches
- Enable the rest of the team on value: Share what you learn with the GTM team, and close the loop with Product and Engineering on recurring customer needs and opportunities
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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