Automative Solution Architect - Pre Sales
Gruve
About Gruve
Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
About the Role
Gruve is seeking a persuasive and technically credible Salesforce Automotive Solution Architect to lead pre-sales engineering for automotive and manufacturing pursuits. You will partner with Sales and GTM leadership to shape opportunities, translate business outcomes into solution strategy, and demonstrate the Art of the Possible for Agentic Automotive Solutions.
You will design and present end-to-end solution narratives where Agentforce (agentic experiences), Salesforce Data Cloud (unified customer/vehicle data), CRM / Automotive Cloud, and enterprise platforms (e.g., SAP S/4HANA) work together. You will also position robust data ingestion and integration approaches—often leveraging Informatica—to unlock legacy data and enable governed agent actions.
This is a customer-facing role requiring executive communication, strong whiteboarding skills, and the ability to balance innovation with deliverability (solution assurance and handoff to delivery).
Key Responsibilities
- Lead technical discovery workshops and convert business challenges into solution strategies focused on Agentic AI.
- Own the technical response strategy for RFIs/RFPs, encompassing architecture narratives, assumptions, risks, dependencies, and deliverability.
- Collaborate with Account Executives on qualification, scope shaping, phased roadmap proposals, and Statements of Work (SOW) inputs.
- Design and deliver persona-based demonstrations that showcase Agentforce addressing automotive scenarios.
- Develop rapid Proofs of Concept (POCs) that connect Data Cloud signals to governed agent actions.
- Create architecture diagrams that illustrate data flow, identity, integration patterns, and necessary approvals.
- Identify technical risks proactively and ensure solution assurance for seamless delivery handoff.
- Remain informed on Software Defined Vehicle (SDV) and connected vehicle trends to effectively translate telemetry and service signals into viable commercial use cases.
Basic Qualifications
- Experience working with Automotive OEMs, Tier 1 suppliers, or dealership groups.
- Functional understanding of SAP landscapes, with a strong preference for familiarity with SD/PP.
- Active Salesforce certifications, including Salesforce Certified Agentforce Specialist, Salesforce Certified Data Cloud Consultant, and Salesforce Certified Application or System Architect.
Preferred Qualifications
- Over 10 years of experience in Salesforce pre-sales engineering, solution architecture, or technical consulting, with substantial customer-facing responsibilities.
- Demonstrated success in supporting and securing complex enterprise services deals.
- Exceptional executive communication skills, adept at conveying AI/agentic concepts to C-level stakeholders.
- Hands-on experience configuring and demonstrating Agentforce and Einstein Copilot capabilities.
- Experience in positioning Informatica for legacy data unlock and a solid understanding of integration patterns, including SAP integration positioning and risk management.
Salary Range
$150,000 - $175,000 USD + Benefits
This is a full-time position with Gruve and is an on-site role based in Redwood City, California.
Why Gruve
At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.
Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.