AI-Native Solution Engineer

Trucker Path Inc.Phoenix, AZ

About The Position

Role purpose 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.

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.

Responsibilities

  • Run customer-facing NavPro 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 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).
  • 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.
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