Owns end-to-end dealership implementations for an AI-powered automotive SaaS product, including integration configuration, data validation, customer training, troubleshooting, and go-live management. The hybrid role requires regular office presence and 50–70% travel to client dealerships.
70k – 90k/yr
HybridSolutions 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, using structured discovery and collaborating with engineering.
Validate customer, availability, recall, and repair-order data flows across systems before go-live.
Train non-technical dealership staff and manage adoption and 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 for engineering.
Write repeatable runbooks and standard operating procedures for future implementations and support handoff.
Relay field feedback to the product team.
Requirements
Hands-on integration and configuration experience using APIs, webhooks, or configuration tools, including end-to-end validation.
Experience troubleshooting and 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 projects from kickoff through go-live and owning stakeholders.
Experience 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 for support handoff.
Familiarity with SaaS implementation and deployment methodologies, including onboarding, go-live, and hypercare.
Familiarity with REST APIs, webhooks, authentication, and integration patterns.
Automotive retail or fixed-operations experience, including service drives, repair orders, recalls, or dealership workflows.
Familiarity with dealership management and scheduling systems such as CDK, Reynolds, Tekion, Xtime, or myKaarma.
Knowledge of data structure and validation concepts, support escalation processes, change management, adoption principles, security, PII handling, or call-recording consent.
Benefits and Compensation
Base salary of $70,000-$90,00 plus commission on renewals and expansion revenue.
OTE: $120,000.
Medical, dental, and vision coverage.
401(k) plan and equity.
Paid time off, including vacation, sick leave, and paid holidays.
Career growth opportunities.
Ongoing training and development.
Access to sales enablement tools and enterprise account strategy resources.
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.
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