Description
We are looking for a Senior Product Manager to lead our work on scaled abuse , fake accounts, account takeovers, scraping , and help keep Discord a safe and welcoming place.
As a Senior Product Manager, you will create the vision, build the systems, and lead the cross-functional strategy that detects and prevents scaled abuse before it reaches our users. This is a high-ownership, high-impact role with significant room to shape strategy, drive investment, and define how we measure and win in this space.
Key responsibilities include:
- Owning the product philosophy, vision, and multi-quarter roadmap for scaled abuse, spanning fake accounts, ATO, scraping, and recidivism detection , prioritizing proactive, foundational investments that compound across the platform.
- Defining, owning, and socializing the north-star metrics for the space and reporting progress against those goals to the relevant stakeholders.
- Translating threat research into forward-looking defensive product work, so our roadmap focuses on the highest-leverage defensive investments rather than one-off firefights.
- Driving cross-functional execution with growth, security, anti-abuse, and product teams to minimize the impact of abuse on our users. This work spans machine learning solutions, heuristics, and building delightful features in-app.
- Partnering with product teams across Discord to embed abuse resistance into new surfaces before they ship.
We are looking for someone with 5+ years of experience as a product manager building and shipping great software, including driving prioritization, trade-offs, and timelines. Some of that experience should include designing and shipping user-facing anti-abuse features.
- Experience in spam, abuse, fraud, account integrity, Trust & Safety, or a strong passion to learn the space.
- Strong product sense and pride in understanding Discord and our users.
- Strong analytical ability to quickly organize and leverage data to make informed product decisions with cross-functional stakeholders.
- Sufficient technical domain expertise to drive alignment on technical requirements with Anti-Abuse, ML, and Security stakeholders.
Bonus points for familiarity with ML-based detection systems and adversarial attacker dynamics.
This is a full-time position with a base salary range of $196,000 to $220,500+ equity + benefits.