AI-Native Solution Engineer

Job Type

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Full-time

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Description

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Role purpose 

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Own NavPro’s AI-native pre-sales execution end-to-end: improve sales ops efficiency, accelerate product–market fit learning, define solutions for complex fleet deals, and drive the loop from roadmap ? implementation ? measurable outcomes. Demos are a core lever, but the role is accountable for the full technical-commercial motion from discovery through launch readiness.

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Key Responsibilities

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Run customer-facing NavPro demos:

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•  Lead demos end-to-end, tailored to the customer’s fleet workflow.
•  Position value, handle objections, and keep the technical narrative accurate.

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Own discovery ? solution narrative:

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•  Partner with Sales on discovery.
•  Translate customer needs into a clear demo story and recommended solution approach.

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Technical Validation And Execution Support (AI-native)

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•  Validate integration feasibility quickly (auth, permissions, data flow, edge cases).
•  Create lightweight prototypes or API proof-of-concepts when needed (for example, Postman/curl, small scripts).
•  Provide clear technical guidance to Sales and Product on feasibility, scope, and implementation paths (without owning day-to-day customer support).

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Maintain Demo Systems And Assets

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•  Maintain demo environments, scripts, assets, and an industry case library.
•  Keep examples current with latest product capabilities and limitations.

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Cross-functional Alignment And Feedback Loop

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•  Align with Product/Engineering on capability boundaries.
•  Ensure external commitments are accurate.
•  Capture common blockers and requirements from demos and feed into the product pipeline.

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Product Ownership For PMF (field-led)

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•  Own a clear PMF learning agenda for NavPro fleet workflows, grounded in sales motions and onboarding reality.
•  Define and track PMF signals (activation, retention, expansion, usage depth, time-to-value, NPS/CSAT proxies) and review them regularly with Product.
•  Turn deal-cycle and customer feedback into prioritized product bets with crisp problem statements, impact sizing, and acceptance criteria.
•  Partner with Product Managers to validate solutions via pilots, pre/post metrics, and a closed-loop feedback process.
•  Ensure learnings are captured in a repeatable playbook (what works, for whom, and why).

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Knowledge Sharer

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•  Create internal enablement materials and run training for Sales/CS.

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Use AI To Accelerate Work

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•  Generate tailored demo scripts and talk tracks.
•  Draft follow-ups, technical summaries, and next-step plans.
•  Produce competitive and objection-handling notes.
•  Turn call notes into structured product feedback.

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Requirements

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•  2–6+ years in pre-sales, solutions consulting, implementation, technical enablement, or product specialist roles.
•  Strong presentation and stakeholder management skills.
•  Comfortable with integration concepts: APIs, auth, permissions, data mapping, webhooks, monitoring, incident paths.
•  AI-forward working style: uses AI daily for preparation, synthesis, writing, and iteration.
•  Technical execution requirement (one of):
•  Can write basic code or scripts (Python/Node/SQL) for API tests, data checks, or automation.
•  Or has an engineering background with hands-on debugging experience.
•  Excellent writing: can produce crisp customer summaries and internal documentation.

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What Success Looks Like (first 90 Days)

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•  A repeatable demo + discovery flow that improves conversion on complex fleet deals.
•  A maintained demo library mapped to top industries, objections, and integration scenarios.
•  Faster technical validation cycles (clear go/no-go for integrations and custom requests).
•  A steady pipeline of well-formed product feedback from demos that Engineering can action.