AI-Native Solution Engineer

Description

Role purpose

Own Nav Pro'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.

Key responsibilities

Run customer-facing Nav Pro demos:

* Lead demos end-to-end, tailored to the customer's fleet workflow.

* Position value, handle objections, and keep the technical narrative accurate.

Own discovery ? solution narrative:

* Partner with Sales on discovery.

* Translate customer needs into a clear demo story and recommended solution approach.

Technical validation and execution support (AI-native):

* 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).

Maintain demo systems and assets:

* Maintain demo environments, scripts, assets, and an industry case library.

* Keep examples current with latest product capabilities and limitations.

Cross-functional alignment and feedback loop:

* 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.

Product ownership for PMF (field-led):

* Own a clear PMF learning agenda for Nav Pro 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).

Knowledge sharer:

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

Use AI to accelerate work:

* 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.

Requirements

* 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.

What success looks like (first 90 days):

* 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.