Forward Deployed Solutions Engineer, AI Products

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $70 000 - $90 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 5%

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🗣️🇺🇸🇬🇧 Anglais requis

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BizzyCar

11 - 50 employés

🚘 Automobile

🤖 Intelligence artificielle

☁️ SaaS

Automotive • Artificial Intelligence • SaaS

BizzyCar est une plateforme technologique qui met en relation les propriétaires de voitures avec des personnes souhaitant louer des véhicules. Le service vise à rendre la location de voitures plus accessible et pratique grâce à une application conviviale qui permet une réservation, un paiement et une gestion de véhicule faciles.

Description

• Own dealer implementations end-to-end, from kickoff through go-live and early hypercare • Configure solutions to each dealership’s systems, workflows, and technology stack through structured discovery and engineering collaboration • Validate customer, availability, recall, and repair-order data flows across systems before go-live • Train non-technical dealership staff and manage change through full adoption • Manage implementation timelines, stakeholders, and go-live dates • Troubleshoot live issues by reproducing problems, reading logs, and distinguishing configuration issues from product bugs • Resolve issues independently or package clean escalations for engineering • Write repeatable runbooks, SOPs, and setup documentation for future implementations and support handoff • Route on-site customer feedback to the product team

🎯 Exigences

• Hands-on integration and configuration experience using APIs, webhooks, or configuration tools • Experience validating integrations end-to-end • Troubleshooting and log-diagnosis skills • Ability to reproduce issues and distinguish configuration problems from product bugs • Experience delivering customer training or enablement, ideally to non-technical audiences • Implementation or deployment project-management experience, including ownership of kickoff-to-go-live timelines and stakeholders • Experience validating and verifying data across systems • Discovery and workflow-mapping experience preferred • Issue triage and escalation experience in a customer-facing technical role preferred • Light scripting or SQL familiarity is a plus, not a requirement • Experience writing runbooks, SOPs, or setup documentation preferred • Familiarity with SaaS implementation and deployment methodology • Familiarity with REST APIs, webhooks, and authentication • Familiarity with automotive retail or fixed-ops operations • Familiarity with dealership DMS and scheduling systems such as CDK, Reynolds, Tekion, Xtime, or myKaarma • Familiarity with data structure and validation concepts • Familiarity with support, escalation, tiers, SLAs, and handoffs • Familiarity with change management or adoption principles • Familiarity with security and compliance basics, including PII handling and call-recording consent • Willingness and ability to travel 50–70% • Must be legally authorized to work for any employer in the United States • Company does not provide sponsorship for U.S. visas or immigration benefits

🏖️ Avantages

• Competitive base salary • Commission renewals and expansion revenue • Comprehensive health benefits — medical, dental, and vision coverage • 401(k) plan and equity • Paid time off, including vacation, sick leave, and paid holidays • Career growth opportunities within a growing Sales and Customer Success organization • Ongoing training and development, including access to sales enablement tools and enterprise account strategy resources • Supportive, collaborative team culture with cross-functional partnerships • Quarterly company meetings

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