Own end-to-end dealership implementations for an AI product, including configuration, data validation, training, troubleshooting, and go-live management. The role requires hands-on integrations, customer-facing technical delivery, project ownership, and strong change-management skills.
70k – 90k/yr
RemoteSolutions Architecture
About the role
Responsibilities
Own dealer implementations end-to-end, from kickoff through go-live and early hypercare.
Configure solutions for each dealership by translating service-drive workflows and technology stacks into product configuration through structured discovery and collaboration with engineering.
Validate that customer, availability, recall, and repair-order data flow correctly across systems before go-live.
Train non-technical dealership staff to achieve full adoption and manage change throughout implementation.
Manage implementation timelines, stakeholders, and go-live dates.
Troubleshoot live issues by reproducing problems, reading logs, distinguishing configuration issues from product bugs, and documenting clear reproduction steps.
Determine what to resolve directly versus escalate, and package escalations clearly for engineering.
Write repeatable runbooks and standard operating procedures for future implementations and support handoff.
Feed specific, reliable on-site insights back to the product team.
Requirements
Hands-on integration and configuration experience using APIs, webhooks, or configuration tools, with end-to-end validation.
Experience troubleshooting, diagnosing logs, reproducing issues, and isolating configuration problems from product bugs.
Experience delivering customer training or enablement, ideally to non-technical audiences.
Experience managing implementation or deployment projects from kickoff to go-live.
Comfort validating and verifying data across systems.
Nice-to-haves
Customer discovery and workflow-mapping experience.
Issue triage and escalation experience in a customer-facing technical role.
Light scripting or SQL experience.
Experience writing runbooks, SOPs, or setup documentation.
SaaS implementation and deployment methodology, including onboarding, go-live, and hypercare.
Telephony and voice-AI concepts, including call flows, transfer and IVR logic, and voice-agent capabilities.
REST APIs, webhooks, authentication, and integration patterns.
Automotive retail or fixed-operations experience.
Familiarity with dealership management and scheduling systems such as CDK, Reynolds, Tekion, Xtime, or myKaarma.
Data structure and validation concepts.
Support and escalation processes, including tiers, SLAs, and handoffs.
Change management or adoption principles.
Security and compliance basics, including PII handling and call-recording consent.
Benefits and Compensation
Base salary of $70,000–$90,00 plus commission on renewals and expansion revenue.
OTE of $120,000.
Medical, dental, and vision coverage.
401(k) plan and equity.
Paid time off, including vacation, sick leave, and paid holidays.
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