• Own Product Delivery End-to-End: Partner with Product and Design from discovery through delivery. Translate product vision into engineering plans, set priorities, and drive execution with a bias toward shipping. • Lead & Grow a Team: Manage a team of full-stack and backend engineers. Run 1:1s, give direct feedback, support career growth, and build a culture of ownership and accountability. • Shape the Product: Be a strong voice in what we build, not just how. Challenge product requirements, advocate for the user, identify gaps, and push for simplicity and impact. • Drive Technical Quality: Set engineering standards for your team. Participate in design reviews, ensure architectural decisions hold up, and keep the codebase healthy. • Ship with Urgency: Remove blockers, cut scope ruthlessly when needed, and keep the team focused on outcomes over output. You care about what's in production, not what's in the backlog. • Collaborate Cross-Functionally: Work closely with Product, Design, Data Science, and Infrastructure to coordinate across the organization and ensure your team has what it needs.

• Manages the software engineering process. • Reviews and analyzes system specifications, interfaces and requirements. • Prepares programming specifications. • Analyzes existing systems and subsystems for reusability benefits and needed changes. • Prepares design plans and written analyses, unit and test scripts, and documentation. • May lead a software development team and mentor junior software engineers. • Responsible for architecting, developing, and implementing complex software solutions that meet rigorous standards for performance, security, reliability, and compliance. • Involves working closely with cross-functional product teams, including product managers, UX designers, systems engineers, and DevSecOps personnel, to deliver high-quality solutions that support mission-critical operations. • Provides strategic technical guidance, mentors other engineers, evaluates emerging technologies, and contributes to continuous process improvements across the entire product development lifecycle.

• Design and implement scalable services for our API and routing engine tiers, following best practices for deployment, resilience, and observability • Design and improve services that power the data consumption and storage of the routing data • Drive the design, development, and testing of Mapbox tools • Shape internal tools and automations to make the whole engineering life easier and fun • Drive design and development of services quality metrics and analytics • Run and design experiments to evaluate the quality, reliability, and capacity requirements of our user-facing navigation products • Participate in end-to-end feature implementation within the larger navigation team; review code and design documents, shepherd feature releases, and participate in an on-call rotation • Work with product owners, sales engineering, and management to drive future product direction.

• Drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives. • Design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services. • Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals. • Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines. • Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems. • Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience. • Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization. • Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance. • Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability. • Champion CI/CD and MLOps practices for continuous delivery of AI features and models. • Participate in hiring and talent development for the GenAI team. • Perform other related duties and activities as required.