Slate Auto

Operations

• Design and continuously improve the Legal Department’s service delivery model
• Identify friction where legal work interacts with the business and design improved processes
• Build and run legal intake and triage workflows, beginning with marketing and advertising review
• Establish scalable processes for contracts and knowledge management
• Design the legal department’s operating model from intake and triage through execution, retention, and reporting
• Build workflows for high-volume request types
• Implement and optimize contract management, knowledge management, and e-billing processes
• Develop and document the contract approval matrix, contracts and regulatory playbooks, and self-service resources
• Lead vendor selection, implementation, and adoption of legal technology, including intake/workflow and Contract Lifecycle Management systems
• Ensure legal technology tools are used to their full capability
• Partner with Finance, IT, and other departments to align legal technology and data with broader company systems and objectives
• Support legal leadership in developing the department’s strategic plan and goals
• Monitor performance against strategic goals
• Build metrics and dashboards for staffing, spend, and prioritization decisions
• Deliver data-driven insights that drive change
• Lead cross-functional projects with Finance, IT, Marketing, and other partners
• Report to the Associate General Counsel - Commercial and work across the legal organization and business partners

Legal Operations Manager

LLM Engineer

• Envision, design, and ship Slate’s GenAI platform
• Make long-term architectural decisions for GenAI platforms, agentic systems, robot-to-model feedback loops, and embedded AI
• Partner with Vehicle Engineering, Manufacturing, and Quality to deploy measurable AI solutions
• Design and own the end-to-end GenAI platform, including context, data, model serving, agent frameworks, and evaluation pipelines
• Design AI systems for physical manufacturing, including agentic coordination and model personalization
• Embed AI into manufacturing through robotic process control, computer vision, predictive maintenance, and closed-loop feedback
• Build Slate’s proprietary data and context layer and unified data layer
• Deploy production-grade AI agents across vehicle engineering, manufacturing, supply chain, software development, and GTM
• Establish evaluation frameworks, guardrails, and observability practices
• Recruit and grow GenAI engineers, MLOps engineers, and applied scientists
• Review pull requests, make architecture decisions, and ship code alongside the team
• Establish technical standards, engineering practices, and hiring standards
• Contribute externally through open source, publications, or conference talks
• Report directly to the Chief Digital and Operations Officer and participate on the senior technology leadership team

VP – Distinguished Engineer, Generative AI Engineering

Engineer

• Lead the design, specification, procurement, and validation of production equipment, fixtures, and tooling within General Assembly
• Develop equipment requirements, functional specifications, and acceptance criteria for new and existing manufacturing processes
• Support New Product Introduction (NPI) by creating tooling strategies, workstation layouts, PFMEAs, control plans, and launch readiness documentation
• Conduct supplier design reviews, equipment run-offs, and commissioning activities to ensure readiness for production
• Analyze equipment performance data to identify bottlenecks, improve cycle times, and enhance reliability and maintainability
• Drive structured root-cause analysis and implement corrective actions for equipment-related issues originating from the plant, field, or suppliers
• Support layout development, ergonomic assessments, and material-flow improvements to ensure efficient and repeatable operations
• Lead or support continuous improvement initiatives focused on safety, error proofing, uptime, and cost reduction
• Develop and maintain equipment documentation, including drawings, specifications, maintenance plans, and troubleshooting guides
• Monitor key equipment KPIs including cycle time, uptime, MTTR, MTBF, and OEE, and build dashboards and action plans to drive improvement
• Train and mentor technicians, operators, and engineers on tooling usage, equipment operation, safety protocols, and best practices

Legal Operations Manager

VP – Distinguished Engineer, Generative AI Engineering

Senior Equipment Engineer