Senior Manager, Trust & Safety Policy

Lyft Lyft · Consumer · San Francisco, CA · Safety Policy

This role is responsible for shaping and implementing platform safety policies, with a focus on building an LLM-first Safety Policy and Operations function. It involves owning policy taxonomy, governance, and a multi-step lifecycle for safety submissions, integrating LLM and ML models. The role requires collaboration with cross-functional teams, research on emerging trends, and communication of insights.

What you'd actually do

  1. Provide strategic vision for the design of a best-in-class, LLM-first, Safety Policy and Operations function at Lyft.
  2. Own the process and governance for the creation, maintenance, and depreciation of the foundation unified policy taxonomy, policy modules, and other supporting artifacts including the style guide and glossary.
  3. Programmatically assist in leading the transition from the current Safety policy and operations model to a future model based on unified, modular policy infused with LLM and other machine learning models. This includes the design and development of a standardized, multi-step lifecycle (e.g., policy, detection, investigation, adjudication, sanctions, and appeals) for handling all of Lyft’s Safety submissions.
  4. Collaborate closely with cross-functional teams including Community Safety, Specialized Support, Legal, Product, Public Policy, Risk, and Communications, to ensure a successful transition to and ongoing operation of the future model.
  5. Lead thorough research and analysis to identify emerging safety trends and risks, monitor industry developments, best practices, and regulatory changes, and integrate data-driven insights and requirements to continuously maintain and improve Lyft’s Trust & Safety operation.

Skills

Required

  • Trust & Safety policy experience in the digital services industry
  • Experience developing Trust & Safety policy taxonomies and policies
  • Experience working cross functionally with internal business stakeholders
  • Exceptional strategic and problem-solving skills
  • Data analysis and the ability to translate to internal business partners and policy stakeholders
  • Sufficient level of technical acumen and proficiency to collaborate with engineers with business and technical requirements for systems and tooling.

Nice to have

  • graduate degree, with emphasis on a law or business degree

What the JD emphasized

  • LLM-first
  • multi-step lifecycle

Other signals

  • LLM-first Safety Policy and Operations function
  • unified, modular policy infused with LLM and other machine learning models
  • design and development of a standardized, multi-step lifecycle