Solutions Consultant

Summary

Nash is a platform that powers modern logistics through AI-native decisioning, execution, and capacity orchestration. The Solutions Consultant owns the full customer journey from discovery and technical value modeling through demos, integrations, pilots, implementation, go-live, and handoff to customer success and engineering.

Responsibilities

• Runs discovery and facilitates workshops that get past a workflow diagram to the real constraint, synthesizing findings into a documented value case
• Builds and defends an ROI model in the customer's own numbers, one that holds up to a CFO's questions
• Stands up and configures sandbox/testing environments, using Claude, and maps exactly where Nash sits in a customer's stack
• Scopes and builds integrations, especially against marketplaces and developer portals, and answers complex architecture questions with current-state and future-state diagrams
• Designs and delivers demos and POCs/trials mapped to real use cases, all the way to a decision
• Runs simulations and optimizations in Claude, extrapolates the business value, and project-manages the pilot end-to-end
• Owns the technical handoff into production: implementation and integrations after close, through go-live, not just the pilot
• Runs the pilot results readout and go/no-go conversation, then hands off cleanly to CSM and Engineering for ongoing production support
• Feeds technical gaps and recurring themes back to Product and Engineering, and pushes small product updates (PRs) directly instead of waiting in a queue
• Turns what worked once into a reusable template, script, or reference architecture, and stays first-in on new AI models and agent capabilities

Skills

• 4-6 years of customer-facing experience in a solutions consulting, sales engineering, or technical program/launch management role, ideally with real ownership of full cycles from discovery to go-live
• Hands-on comfort with AI tools yourself: you've used Claude to actually build something, not just read about what it can do
• Comfort running structured discovery, including workshop-style sessions with multiple stakeholders, to get past the stated ask to the real use case
• Real building ability and architecture fluency: comfortable scripting, working with APIs, standing up a sandbox or integration yourself, and representing how an OMS/WMS/TMS/POS talks to outside systems in a diagram
• Comfort building and defending an ROI model in a customer's own numbers, and operating at enterprise scale: multi-region, multi-channel merchants with dozens of existing systems
• Comfort owning delivery through implementation and go-live, not just the deal: you see a pilot through to a stable production handoff instead of moving on at close
• A real builder's instinct, strong communication across technical and business stakeholders, and comfort with ambiguity when the right process doesn't exist yet
• Travel required approximately 2–3 times per month for on-site discovery workshops, pilot kickoffs, and executive presentations
• Experience running simulations/optimizations or building value models that held up under executive scrutiny
• Experience in logistics, delivery, or supply chain
• Formal value engineering, management consulting, or technical program management background

Qualifications

Must Haves

• 4-6 years of customer-facing experience in a solutions consulting, sales engineering, or technical program/launch management role, ideally with real ownership of full cycles from discovery to go-live
• Hands-on comfort with AI tools yourself: you've used Claude to actually build something, not just read about what it can do
• Comfort running structured discovery, including workshop-style sessions with multiple stakeholders, to get past the stated ask to the real use case
• Real building ability and architecture fluency: comfortable scripting, working with APIs, standing up a sandbox or integration yourself, and representing how an OMS/WMS/TMS/POS talks to outside systems in a diagram
• Comfort building and defending an ROI model in a customer's own numbers, and operating at enterprise scale: multi-region, multi-channel merchants with dozens of existing systems
• Comfort owning delivery through implementation and go-live, not just the deal: you see a pilot through to a stable production handoff instead of moving on at close
• A real builder's instinct, strong communication across technical and business stakeholders, and comfort with ambiguity when the right process doesn't exist yet
• Travel required approximately 2–3 times per month for on-site discovery workshops, pilot kickoffs, and executive presentations

Nice to Haves

• Experience running simulations/optimizations or building value models that held up under executive scrutiny
• Experience in logistics, delivery, or supply chain
• Formal value engineering, management consulting, or technical program management background

Benefits

• 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
• Remote-first culture
• Quarterly broader team on-sites to bond with teammates
• Flexible paid time off
• Health, dental, and vision insurance for US employees
• Early-stage, well-funded startup with opportunities to directly impact the company and grow your career