• Provide a reliable, scalable, and easy to use training framework for modeling needs of Stack AV. • Responsible for the overall developer experience of ML engineers including building tools for testing, validation, and understanding models and the data used to train them. • Responsible for model optimization and deployment.

• Driving large-scale projects, delivering impactful features, and maintaining high engineering standards. • Solve complex problems, collaborate across teams, and mentor junior engineers. • Contribute to long-term architectural planning and system design. • Lead technical problem-solving for complex, cross-team challenges and production issues. • Ensure scalable and maintainable solutions across both frontend and backend systems. • Participate actively in meetings, providing input that drives clarity and shared understanding.

• Technical Strategy & Ownership: You will focus on the core components of the Steer CRM, specifically optimizing how we ingest and process data to revolutionize our automation tools. We don't expect you to do this alone; we encourage the heavy use of AI-assisted coding to accelerate development and bridge any gaps across our stack. • Adaptive Development: Be ready to pivot at a moment's notice. Based on evolving business needs, you may need to shift focus to work on new or existing integrations to ensure our ecosystem remains seamless. • Customer-Centric Development: Partner closely with Product to understand user pain points, ensuring every line of code adds tangible value to the auto repair shops we serve. • System Design & Scalability: Architect reusable full stack components and services that ensure our platform remains performant as we scale. • Code Excellence: Champion best practices in security, test automation, and maintainability. Conduct deep-dive code reviews that elevate the entire engineering organization. • Modern DevOps: Influence our CI/CD pipelines, containerization (Docker, Kubernetes), and IaC practices to ensure a seamless developer experience and operational reliability.

• The platform team is responsible for the core abstractions and infrastructure that powers our product, data, and operations teams. • This includes continuously improving reliability, performance, observability, and efficiency of our platform. • We’re looking for engineers with a strong background or interest in building distributed systems, data-intensive applications, and product and ML infrastructure.