Senior Policy Manager

Role Overview

• Lead the transition of policy governance from legacy operational models toward an LLM-first enforcement architecture, embedding appropriate guardrails, escalation pathways, and human oversight to minimize risk.
• Own one or more complex policy domains — or drive cross-policy alignment across issue areas — auditing, iterating, and strengthening frameworks to ensure robustness and responsiveness to member needs.
• Partner cross-functionally with Product, Engineering, Data Science, Legal, and Operations to ensure effective policy implementation and consistent enforcement across platforms and regions.
• Design and maintain policy lifecycle governance processes, improving transparency, efficiency, and alignment between enforcement systems and written standards.
• Develop and support Responsible AI frameworks, including model governance principles, labeling standards, safety interventions, and review mechanisms that reflect regulatory and ethical best practices.
• Oversee moderation system performance by defining and monitoring key enforcement metrics, identifying gaps in precision, recall, and consistency at scale.
• Build structured feedback loops with internal teams and external partners to surface emerging risks, sociocultural nuances, and operational friction points — demonstrating Curiosity and collaborative ownership.
• Support programs that maintain compliance with global online safety and platform regulations, ensuring documentation, audit readiness, and defensible policy decisioning.
• Use AI-enabled analytics tools responsibly to evaluate enforcement trends, stress-test policy outcomes, and generate insights that translate into measurable member impact.

Requirements

• Typically requires 6–8 years of experience, though we welcome candidates with alternative backgrounds that demonstrate equivalent skills.
• Deep experience in Trust & Safety policy, ML governance, AI safety, or related domains within technology platforms.
• Strong understanding of LLM systems, content moderation architectures, labeling frameworks, model evaluation methodologies, and safety intervention mechanisms.
• Experience designing or contributing to Responsible AI governance frameworks, including risk assessment, bias mitigation, and human-in-the-loop systems.
• Demonstrated ability to translate between technical and non-technical stakeholders, bridging policy, engineering, legal, and operational perspectives with clarity and Respect.
• Proven ability to operate autonomously in ambiguous, fast-moving environments, taking ownership of complex initiatives and seeing them through from insight to impact.
• High fluency in data analysis and experimentation, with the ability to interpret enforcement metrics and drive data-informed decisions.
• Excellent written and verbal communication skills, including experience representing policy perspectives in cross-functional or regulator-adjacent discussions.
• Embodies Bumble’s values of Courage and Excellence by balancing innovation with responsible risk management, and approaches evolving AI systems with thoughtful curiosity and principled judgment.