Technical Solutions Strategist

Nash

1d • Remote

About The Position

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.

Requirements

• 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.

Nice To Haves

• Experience in value engineering, management consulting, technical program management, enterprise AI deployments, logistics, delivery, or supply chain.

Responsibilities

• Lead deep discovery with business and technical stakeholders to understand how the customer operates and where Nash can create the most value.
• Turn discovery into a tailored solution, moving quickly through cycles of scoping, architecture, demos, testing, and refinement.
• Understand how complex merchants operate across OMS, WMS, TMS, POS, carrier integrations, APIs, and data flows, then show exactly how Nash fits.
• Own demos, trials, and POCs from discovery through technical validation, executive alignment, and a clear customer decision.
• Quantify impact using the customer’s own data and present a compelling case to CFOs, COOs, CEOs, and other economic buyers.
• Build credibility with prospects and partners, guide complex decisions, and develop a strong point of view on where Nash creates the most value.
• Test new AI models, agent capabilities, and product features as they ship, and bring the strongest applications into active customer solutions.
• Refine discovery frameworks, solution designs, value models, demos, and executive narratives, then turn what works into repeatable approaches.
• Share what you learn with the GTM team, and close the loop with Product and Engineering on recurring customer needs and opportunities.

Benefits

• Competitive base salary + variable compensation (OTE aligned with top-quartile SaaS benchmarks).
• Equity in a fast-growing venture-backed company.
• Health, dental, and vision insurance.
• Flexible PTO and remote-first culture.
• Quarterly broader team on-sites to bond with teammates
• Flexible paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed