2 days ago

Technical Solutions Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Serve as a foundational technical solutions consultant for Nash’s enterprise logistics platform. Lead deep discovery to uncover complex customer use cases, translate them into tailored technical designs and business cases, and run end-to-end sales engineering motions (demos, trials, POCs). Map Nash’s fit across OMS/WMS/TMS/POS and integrations, quantify ROI, and present recommendations to senior executives while also testing new AI models and agent capabilities.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead deep discovery with business and technical stakeholders to uncover customer pain points, use cases, and value opportunities.
•Design tailored solutions with customers through scoping, architecture, demos, testing, and refinement cycles.
•Map how Nash fits into enterprise stacks across OMS, WMS, TMS, POS, carrier integrations, APIs, and data flows.
•Run the sales engineering motion end to end by owning demos, trials, and POCs through technical validation and executive alignment.
•Build and defend the business case by quantifying impact with customer data and presenting recommendations to CFOs, COOs, CEOs, and other decision makers.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRemote-first

Key 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.
•Strong discovery ability, including leading structured discovery sessions/workshops that produce 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/analytical skills to build and defend ROI models.

Experience:4-6 years

Skills:DiscoveryCommunicationRelationship buildingAnalytical thinkingExecutive presence

Tech Stack:AI modelsAgentsAPIsWebhooksSystem integrationsData flowsEnterprise architectureOMSWMSTMSPOS

Company Brief

Nash

Builds AI-powered virtual assistants and agent platforms that help teams automate workflows, surface insights, and accelerate decision-making by integrating with enterprise tools and data sources. Focuses on conversational AI and task automation for business users.

Industry: AI & Machine Learning

Growth: Early Stage Startup

Website

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Nash

2 days ago

Technical Solutions Strategist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Lead deep discovery with business and technical stakeholders to uncover customer pain points, use cases, and value opportunities.
•Design tailored solutions with customers through scoping, architecture, demos, testing, and refinement cycles.
•Map how Nash fits into enterprise stacks across OMS, WMS, TMS, POS, carrier integrations, APIs, and data flows.
•Run the sales engineering motion end to end by owning demos, trials, and POCs through technical validation and executive alignment.
•Build and defend the business case by quantifying impact with customer data and presenting recommendations to CFOs, COOs, CEOs, and other decision makers.

Pay and Benefits

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kRemote-first

Key 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.
•Strong discovery ability, including leading structured discovery sessions/workshops that produce 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/analytical skills to build and defend ROI models.

Experience:4-6 years

Skills:DiscoveryCommunicationRelationship buildingAnalytical thinkingExecutive presence

Tech Stack:AI modelsAgentsAPIsWebhooksSystem integrationsData flowsEnterprise architectureOMSWMSTMSPOS

Company Brief

Nash

Industry: AI & Machine Learning

Growth: Early Stage Startup

Website