Staff Product Manager, Safety Experience

Discord is a platform used by over 200 million people for gaming and social interaction, and they are seeking a Staff Product Manager for Safety Experience. In this role, you will define the vision and roadmap for safety tools and age-appropriate experiences, ensuring user safety while collaborating with cross-functional teams.

Responsibilities:

• Guide the product philosophy, vision, and roadmap for Safety Experience, developing user tools and age-appropriate experiences that improve safety outcomes
• Be the authoritative product voice on age-appropriate experiences at Discord. Drive decisions with conviction, build executive-level alignment on high-stakes calls, and translate complex tradeoffs into clear recommendations
• Lead cross-functional execution across Engineering, Design, Data Science, Marketing, ML, Legal, Policy, and T&S Operations. Independently make decisions for your product area, drive buy-in with executive leadership, and act as a momentum catalyst for your team
• Define and own key safety metrics like tool efficacy, detection accuracy, and false positive/negative rates
• Ensure your roadmap enables broader product goals across Discord, partnering with other Product teams like Engagement, Growth, and Nitro

Requirements:

• 7+ years product management experience or experience building and shipping great software, including responsibilities driving prioritization, trade-offs, and timelines
• Track record owning complex product area at a consumer platform and driving executive-level buy in on your strategy
• Deep expertise in Trust & Safety, teen safety, or a related field
• Ability to communicate well with executives, cross-functional partners, and external stakeholders
• Experience partnering closely with Design to ship user-facing features
• Experience partnering with Legal and Policy teams to translate regulatory requirements through to product decisions
• Experience building and shipping ML-based products. You should be comfortable discussing precision/recall, model thresholds, and data pipelines with engineers
• Comfort making decisions with incomplete information, and resiliency in ambiguous, high-stakes environments