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Lead decision science initiatives to improve operational efficiency and financial outcomes. Build decision frameworks, attribution and forecasting models, deliver reproducible Python/SQL code, mentor data scientists, and partner cross-functionally to measure and scale impact.

Lead Lyft Product Language (LPL) design system strategy, team, and execution across mobile, web, and brand. Manage and develop design systems designers and illustrators, ensure cross-platform coherence, accessibility (WCAG), localization, and quality. Partner with engineering and product to own component contribution, review, and release processes, and drive AI-enabled tooling and adoption.

Lead decision-science initiatives to improve operational efficiency and financial outcomes. Design decision frameworks, attribution and measurement strategies, forecasting and monitoring systems. Produce production-quality Python/SQL code, guide other data scientists, and translate analyses into actionable recommendations for cross-functional stakeholders.

Lead and grow a cross-platform engineering team (backend, frontend, iOS, Android) to define technical vision, deliver high-quality app experiences for luxury ride modes, mentor managers and engineers, prioritize technical investments versus product work, drive cross-functional alignment, hire diverse talent, and ensure scalable, highly available production systems.

Lead technical integration of acquired companies into Lyft's IT environment, migrating SaaS and identity systems (Okta), automating workflows and APIs, writing runbooks, and partnering with IT, Security, and vendors to ensure smooth M&A platform consolidations.

The Senior ML Software Engineer will create and improve capabilities for mapping data using machine learning, collaborating with engineers and data scientists, developing models, and writing production code.

Lead the RTB reporting sub-team to ensure accurate, reliable finance and compliance reports. Build repeatable processes, documentation, and automation; own stakeholder relationships; mentor juniors; and drive cross-functional reporting initiatives from definition through execution.

Lead design, ownership, and scaling of Lyft's Global Support Platform. Set technical vision, drive AI/ML adoption, architect distributed systems, manage roadmaps, ensure reliability and observability, mentor engineers, and coordinate cross-functional alignment.

Provide legal counsel to product, partnerships, marketing, engineering, and public policy teams. Draft, review, and negotiate complex partnership and technology agreements. Advise on product development, launch, and operations. Develop long-term legal strategies balancing risk and business goals. Integrate with cross-functional teams and prioritize shifting business needs while supporting additional projects as needed.

Operate, maintain, and improve Lyft's logging and metrics infrastructure. Build tooling to automate platform operations, define SLOs, monitor metrics, support incident response and on-call rotations, collaborate with engineering teams on observability, document processes, and automate repetitive tasks to improve reliability and scalability of distributed systems.