Technical Solutions Strategist

What You'll Own

• 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.

What We're Looking For

• 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.

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.