Machine Learning Manager - PF&O (Recommendations & Forecasting)
Company
Location
Canada
Type
Full Time
Job Description
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:
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ML systems and data-driven recommendations that teach advertisers how to use Reddit campaigns effectively.
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Forecasting and planning tools to help both internal sales and external agency buyers.
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Opportunities to use AI ML and Reddit’s unique communities to rethink the advertiser experience.
What you'll do
Set Technical Vision & Strategy:
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Define and execute the long-term roadmap for the Auto-Bidding team balancing innovation efficiency and revenue impact
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Collaborate with leadership to align technology investments with broader business objectives
Develop & Optimize Recommendation and Forecasting Systems:
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Oversee the design implementation and maintenance of high-performance advertiser- and sales-facing products
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Ensure these systems meet or exceed accuracy goals advertiser expectations and system reliability standards
Mentor & Grow Your Team:
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Recruit mentor and retain top engineering talent.
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Foster a collaborative inclusive and high-performing culture with a strong emphasis on technical mentorship and career development
Cross-Functional Collaboration:
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Partner with Product Managers and other engineering teams to align technical work with product requirements and KPIs
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Effectively communicate complex technical concepts to non-engineering stakeholders
Champion Continuous Improvement:
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Drive best practices for model quality experimentation system reliability and operational excellence
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Identify and implement opportunities to increase engineering velocity reduce costs and improve system performance
What we're looking for
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Engineering Leadership: Significant experience managing engineering teams ideally in machine learning or similarly technical domains.
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Industry Tenure: Extensive hands-on experience building and operating large-scale Ads or Marketplace systems.
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People Management & Team Building: Demonstrated success in managing mentoring and growing teams. Skilled in hiring performance management and fostering diverse inclusive environments.
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Hands-On ML Proficiency (preferred): Experience with real-time serving systems model development and optimization pipelines.
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Control Systems & Algorithms: Familiarity with PID controllers multi-armed bandits reinforcement learning or other bidding/pricing optimization approaches.
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Marketplace Optimization: Skilled in designing new bidding optimization algorithms and conducting A/B tests to evaluate business and marketplace impact.
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Experimentation & Data Analysis: Knowledge of metric design experimentation methodologies and large-scale data analysis.
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System Architecture & Scalability: Expertise in building and maintaining scalable systems high-performance serving architectures real-time streaming and robust data pipelines.
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Ads Domain Knowledge: Familiarity with ads delivery recommendations targeting or marketplace optimization systems.
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Strategic Vision: Ability to define a clear technical vision and lead day-to-day execution.
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Cross-Functional Collaboration: Comfortable working across disciplines—engineering product data science—and communicating technical ideas to broad audiences.
What We Offer
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A dynamic supportive work environment with a diverse team of engineers and cross-functional partners
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Opportunities for professional growth and development with a focus on continuous learning and skill-building
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A competitive salary and benefits package with a focus on work-life balance and employee well-being
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Flexible work arrangements including remote work options to support your individual needs and preferences
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The chance to work on high-impact projects that drive real results for our users and advertisers
Benefits:
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Comprehensive Health benefits
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Registered Retirement Savings plan with matching contributions
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Income Replacement Programs
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Family Planning Support
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Gender-Affirming Care
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Mental Health & Coaching Benefits
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Flexible Vacation & Reddit Global Days Off
#LI-Remote
Date Posted
11/16/2025
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0
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