Technical Solutions Strategist

About the role

Join Nash as a foundational technical hire to help enterprise clients solve complex operational challenges using AI. This role blends solutions consulting with value-based selling, requiring you to understand customer operations and demonstrate the financial benefits of Nash's platform.

Key facts

What you'll do

• Lead deep discovery with business and technical stakeholders to identify core operational pain points and valuable use cases for Nash.
• Develop tailored solutions by collaborating with customers on scoping, architecture, demos, and testing.
• Illustrate how Nash integrates with existing enterprise systems like OMS, WMS, TMS, POS, and various APIs.
• Manage the full sales engineering process, from initial discovery through technical validation and executive buy-in.
• Construct and present compelling business cases, quantifying the financial impact using customer data.
• Act as a trusted advisor, guiding complex decisions and articulating Nash's value proposition.
• Evaluate new AI models and product features, applying them to customer solutions.
• Refine and document effective discovery frameworks, solution designs, and value models.
• Share learnings with the Go-to-Market team and provide feedback to Product and Engineering.

Requirements

• 4 to 6 years of experience in solutions engineering, presales, technical account management, or a similar customer-facing technical position.
• Proven ability to manage complex enterprise opportunities from initial contact to closing.
• Skill in asking insightful questions to uncover underlying issues and move beyond surface-level problems.
• Experience leading structured discovery sessions to define clear use cases and requirements.
• Hands-on experience with AI tools, including testing new models and applying them to practical problems.
• Proficiency with APIs, webhooks, system integrations, data flows, and enterprise architecture.
• Strong financial and analytical skills, including building and defending ROI models.
• Executive presence and the ability to communicate effectively with both senior leaders and technical teams.
• Excellent communication and relationship-building skills, comfortable working in ambiguous environments.

Nice to have

• Experience in value engineering, management consulting, enterprise AI deployments, or the logistics/supply chain industry.

Skills & tools

• AI tooling
• APIs
• Webhooks
• System integrations
• Data flows
• Enterprise architecture
• ROI modeling

Practical notes

• Visa sponsorship is not available.
• Travel requirements are not specified.
• Benefits include health, dental, vision, and 401(k).
• Flexible paid time off and a remote-first culture are offered.
• Application deadline is not specified.