Machine Learning Manager - Ads Targeting Modeling

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In this role, you will define and drive the engineering strategy for Reddit’s Ads Targeting products—solutions critical to scaling our business and serving tens of thousands of advertisers. You will develop machine learning–powered features that identify and target highly qualified users and content, thereby maximizing outcomes for a diverse group of advertisers. Ads Targeting products rely on rich user, content, and advertiser models that accurately match users with campaigns. We are looking for an industry leader in machine learning recommendations, optimization, and marketplace dynamics, with a strong technical background, solid business acumen, and excellent cross-functional stakeholder management skills.

The Ideal Candidate Recognizes The Value That Ads Bring To Our Users, Advertisers, And Reddit. As The Machine Learning Manager For The Ads Targeting Modeling Team, You Will Work Closely With Engineering Managers, Product Managers, And Data Scientists To

• Define the vision and product strategy for Ads Targeting Modeling.
• Optimize existing targeting products.
• Develop new targeting solutions to reach relevant audiences.
  
  
  

Responsibilities

• Technical Vision & Strategy: Lead the development and optimization of first-party and automation targeting products that will scale with our ads business over the coming years. You will have ample opportunity to shape a technical vision with significant business impact.
• Execution & Quality: Oversee your team’s roadmap execution, ensuring consistent, predictable, and high-quality delivery. You will prioritize both planned initiatives and emergent needs, coach individual contributors and tech leads in project management, empower your team to work autonomously, and proactively identify and communicate risks.
• Recruiting: As the Ads Targeting Modeling team expands rapidly, you will be responsible for scaling your team by identifying needs, writing job descriptions, sourcing, interviewing, and closing candidates, with strong support from our recruiting team.
• Career Development: Assist engineers in setting career goals and creating development plans to achieve them. You will continually seek opportunities to push your team beyond their comfort zones and transform potential into leadership.
  
  
  

Requirements

• At least 2 years of experience supporting and growing ML engineering teams, ideally having scaled a team by over 100%.
• A proven track record in building and shipping large-scale, end-to-end machine learning products.
• Expertise in at least one of the following areas: Machine Learning, NLP, Ranking, Search Engines, Recommender Systems, or Knowledge Graphs.
• Experience managing teams, including hiring, onboarding, and professional development.
• Demonstrated success in developing products from 0 to 1 as well as scaling existing product lines.
• Strong technical skills; while you are capable of solving complex problems yourself, you prefer to guide your team in addressing challenges.
• Excellent written and verbal communication skills, with the ability to collaborate effectively in a fully remote environment and communicate complex topics to both technical and non-technical audiences.
• Experience with data-driven decision making.
• Prior exposure to developing and executing multi-year technical strategies.
• A passion for building healthy, productive teams and collaborating with cross-functional stakeholders (Product Management, Product Marketing, Data Science, Sales, etc.).
• Management experience in the advertising domain.
  
  
  

Benefits

• Comprehensive Health benefits
• Retirement Savings plan with matching contributions
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation & Reddit Global Days Off
  
  
  

Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at [email protected].