Forward Deployed Solutions Engineer (AI Products)
$90–$70,000 year
Remote
Job Summary
Own dealer implementations end-to-end, from kickoff through go-live and early hypercare. Configure solutions to each rooftop by translating a dealer's actual service-drive workflow and tech stack into product configuration through structured discovery and engineering team collaboration. Validate that customer, availability, recall, and RO data flow correctly across systems before go-live. Train non-technical dealership staff to full adoption, manage the change along the way, and run the implementation like a project by owning the timeline, stakeholders, and go-live date. Troubleshoot live by reproducing issues, reading logs, and writing clean repro steps, knowing what to fix yourself versus what to escalate. Write runbooks and SOPs that let this be repeatable for the next dealer and the support team that eventually takes over steady-state. Be the feedback loop by routing what you learn on-site back to product, reliably and specifically.
Required Qualifications
- Hands-on integration & configuration experience — you've wired a product to external systems via APIs, webhooks, or config tools and validated it end-to-end
- Troubleshooting & log diagnosis — comfortable reproducing issues, reading logs, and isolating a config problem from a product bug
- Experience delivering customer training or enablement, ideally to non-technical audiences
- Implementation or deployment project management — you've run a kickoff-to-go-live timeline and owned the stakeholders in it
- Comfort validating and verifying data across systems (e.g., confirming records, statuses, or availability sync correctly)
- In-United-States employment authorization (Form I-9 and unexpired documents showing legal work authorization)
Desired Qualifications
- Discovery and workflow-mapping experience — translating a customer's process into product configuration
- Issue triage and escalation experience in a customer-facing technical role
- Light scripting or SQL — enough to query data or script a quick validation
- Experience writing runbooks, SOPs, or setup documentation for handoff to a support team
- SaaS implementation and deployment methodology — onboarding lifecycle, go-live, hypercare
- Telephony and voice-AI concepts — call flows, transfer/IVR logic, and what a voice agent can and can't do
- APIs and integration patterns — REST, webhooks, authentication, and how systems talk to each other
- Automotive retail or fixed-ops experience — the service drive, repair orders, recalls, and the dealership's daily rhythm
- The DMS and scheduling ecosystem — e.g., CDK, Reynolds, Tekion, Xtime, myKaarma
- Data structure and validation concepts
- Support and escalation processes — tiers, SLAs, and clean handoffs
- Change management or adoption principles
- Security and compliance basics — PII handling, call-recording consent
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.