Machine Learning Manager - PF&O (Recommendations & Forecasting)

As a company, Reddit primarily generates revenue through advertising, and we're working towards building a massive business to fund our mission. We distinguish ourselves from other digital ad platforms by attracting advertisers who want to connect with a specific target audience because of our passionate and engaged communities. Reddit is building out a first-class ads platform with a lot of 0-1 new products that connect advertisers with highly engaged, passionate communities. The Advertiser Optimization org is driving this by building out auto-bidding and conversion-based products that will reshape the advertiser experience at Reddit.

The PF&O team (recommendations and forecasting) is building out our advertiser and sales tools – including:

• ML systems and data-driven recommendations that teach advertisers how to use Reddit campaigns effectively.

• Forecasting and planning tools to help both internal sales and external agency buyers.

• Opportunities to use AI, ML, and Reddit’s unique communities to rethink the advertiser experience.

What you'll do

Set Technical Vision & Strategy:

• Define and execute the long-term roadmap for the Auto-Bidding team, balancing innovation, efficiency, and revenue impact

• Collaborate with leadership to align technology investments with broader business objectives

Develop & Optimize Recommendation and Forecasting Systems:

• Oversee the design, implementation, and maintenance of high-performance advertiser- and sales-facing products

• Ensure these systems meet or exceed accuracy goals, advertiser expectations, and system reliability standards

Mentor & Grow Your Team:

• Recruit, mentor, and retain top engineering talent.

• Foster a collaborative, inclusive, and high-performing culture with a strong emphasis on technical mentorship and career development

Cross-Functional Collaboration:

• Partner with Product Managers and other engineering teams to align technical work with product requirements and KPIs

• Effectively communicate complex technical concepts to non-engineering stakeholders

Champion Continuous Improvement:

• Drive best practices for model quality, experimentation, system reliability, and operational excellence

• Identify and implement opportunities to increase engineering velocity, reduce costs, and improve system performance

What we're looking for

• Engineering Leadership: Significant experience managing engineering teams, ideally in machine learning or similarly technical domains.

• Industry Tenure: Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.

• People Management & Team Building: Demonstrated success in managing, mentoring, and growing teams. Skilled in hiring, performance management, and fostering diverse, inclusive environments.

• Hands-On ML Proficiency (preferred): Experience with real-time serving systems, model development, and optimization pipelines.

• Control Systems & Algorithms: Familiarity with PID controllers, multi-armed bandits, reinforcement learning, or other bidding/pricing optimization approaches.

• Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact.

• Experimentation & Data Analysis: Knowledge of metric design, experimentation methodologies, and large-scale data analysis.

• System Architecture & Scalability: Expertise in building and maintaining scalable systems, high-performance serving architectures, real-time streaming, and robust data pipelines.

• Ads Domain Knowledge: Familiarity with ads delivery, recommendations, targeting, or marketplace optimization systems.

• Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution.

• Cross-Functional Collaboration: Comfortable working across disciplines—engineering, product, data science—and communicating technical ideas to broad audiences.

What We Offer

• A dynamic, supportive work environment with a diverse team of engineers and cross-functional partners

• Opportunities for professional growth and development, with a focus on continuous learning and skill-building

• A competitive salary and benefits package, with a focus on work-life balance and employee well-being

• Flexible work arrangements, including remote work options, to support your individual needs and preferences

• The chance to work on high-impact projects that drive real results for our users and advertisers

Benefits

• Comprehensive Healthcare Benefits

• 401k Matching

• Workspace benefits for your home office

• Personal & Professional development funds

• Family Planning Support

• Flexible Vacation (please use them!) & Reddit Global Wellness Days

• 4+ months paid Parental Leave

• Paid Volunteer time off

#LI-Remote

Pay Transparency:

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay range for this position is:

$230,000—$322,000 USD