Senior Product Manager, ML Signals

About the Role

As a Senior Product Manager, you will be responsible for driving the integration of ML signals to improve personalization and brand safety across the platform. This involves working closely with various teams, including the Feed, Ads, Search, and Safety teams, to ensure seamless adoption of these signals. Your expertise in signal strategy and vision will be crucial in establishing standardized definitions and success metrics for content quality and utility.

What You Will Do

• Define the long-term roadmap for foundational content understanding signals, including topicality, content maturity, and quality scores.
• Act as the primary bridge between the ML Engineering team and downstream consumers, driving the integration of ML signals.
• Establish standardized definitions and success metrics for content quality and utility.
• Lead the strategy for high-quality training data, including the use of Human-in-the-Loop workflows and modern automated evaluation techniques.
• Partner with Data Science and ML Engineers to monitor signal health, coverage, and accuracy, translating technical performance into business impact.
• Navigate complex tradeoffs between Policy, Engineering, and Product teams to ensure signals meet both user safety requirements and product growth goals.
• Collaborate with cross-functional partners to deliver initiatives that achieve defined goals and success metrics.
• Prioritize projects based on downstream impact and drive adoption of ML signals across the organization.

What We Are Looking For

• Strong background in the latest ML/AI research and its applications in product development.
• Experience in defining and executing product roadmaps, particularly in relation to machine learning and content understanding.
• Proven ability to lead cross-functional teams and collaborate with engineering, data science, and policy teams.
• Understanding of signal strategy and vision, with the ability to establish standardized definitions and success metrics.
• Experience with data strategy and labeling, including Human-in-the-Loop workflows and automated evaluation techniques.
• Strong analytical and problem-solving skills, with the ability to translate technical performance into business impact.
• Excellent communication and interpersonal skills, with the ability to navigate complex tradeoffs and collaborate with various stakeholders.

Nice to Have

• Experience working with Large Language Models and their applications in data labeling and evaluation.
• Knowledge of modern automated evaluation techniques for machine learning models.
• Familiarity with Reddit's community-driven approach and its implications for content understanding and product development.
• Experience working in a remote setting, with a proven ability to collaborate and communicate effectively with distributed teams.

Benefits and Perks

• Competitive salary and benefits package.
• Opportunity to work with a talented team of engineers, data scientists, and product managers.
• Collaborative and dynamic work environment that encourages innovation and growth.
• Flexible working hours and remote work options, allowing for a healthy work-life balance.
• Access to the latest tools and technologies, including machine learning frameworks and data science platforms.
• Professional development opportunities, including training and education programs.
• Recognition and rewards for outstanding performance and contributions to the company's growth and success.

• Ensure you have a strong understanding of machine learning and its applications in content understanding before applying.
• Highlight your experience with cross-functional teams and collaboration with engineering, data science, and policy teams in your resume and cover letter.
• Demonstrate your knowledge of signal strategy and vision, and your ability to establish standardized definitions and success metrics.
• Be prepared to discuss your experience with data strategy and labeling, including Human-in-the-Loop workflows and automated evaluation techniques, during the interview.
• Show a willingness to learn and adapt to new technologies and frameworks, including Large Language Models and modern automated evaluation techniques.
• Prepare examples of how you have navigated complex tradeoffs and collaborated with various stakeholders to achieve business goals.
• Research Reddit's company culture and values, and be prepared to discuss how your skills and experience align with them.