Staff Engineer, Ads Lift Measurement

2d•Remote

About The Position

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com. Team Description Ads Measurements team’s mission is to enable advertisers to measure and verify the effectiveness and efficiency of their investments on Reddit using a complete toolkit of 1P and 3P measurement solutions, and provide prescriptive recommendations to enable clients to optimize the value of their investment. At Reddit, the Ads Lift Measurement team is dedicated to enabling advertisers to accurately assess and enhance the real business impact of their advertising spend on our platform. We deliver clear, actionable insights via sophisticated measurement tools, including Brand Lift, Conversion Lift and Split Tests. Our core function involves developing client-facing products and robust, scalable infrastructure. This foundation supports large-scale experimentation, rigorous causal inference, and informed, data-driven strategy. This work is vital to Reddit's advertising ecosystem, directly fueling both strategic business understanding and revenue expansion. As a Staff Engineer, you will be expected to be the technical leader on the team and in the Ads Measurements organization. You must be able to take on ambiguous problems, design a solution, then lead other engineers in implementing that solution. You'll work on end-to-end product development and contribute to high-performance systems that measure and maximize ad effectiveness. You’ll collaborate with product managers, data scientists, and platform engineers to solve complex technical challenges that directly impact Reddit'’s advertisers and end users. You must also be able to identify problems independently, not just be assigned work to complete. Excellent skills in designing maintainable, scalable distributed systems are a must. Finally, mentorship is a requirement, you would be expected to make the people around you better.

Requirements

A Bachelor's degree in Computer Science, Statistics or a similar STEM field or equivalent experience.
8+ years of software engineering experience.
Domain knowledge in Ads tech and experimentation methodology. Software development experience in backend or data-intensive systems.
Proficient in at least one of the following: Python, Go, Java, C/C++.
Strong understanding of system design, algorithms, and data structures.
A strong understanding of the fundamentals of experimentation and causal measurement, including randomization, holdouts, confounders, statistical significance, and power.

Nice To Haves

Experience with Ads Lift Measurements engineering
Experience coordinating large-scale, cross-functional efforts that span different teams, and driving alignment between diverse stakeholders
Experience with Go, Python, Scala or Javascript
Understanding of ML development and principles

Responsibilities

Lead the complete lifecycle of features for ads lift measurement products, including architectural design, implementation, deployment, and maintaining ongoing reliability.
Rigorously evaluate campaign performance by expanding core products such as Split Test, Conversion Lift, and Brand Lift, thereby enhancing capabilities for advertisers.
Build automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting.
Collaborate with the Engineering Manager to form the long term technical vision and strategy for Ads Lift Measurement for the next 2+ years.
Mentor engineers, share industry knowledge, and contribute to the technical growth of the team.
Stay updated on state-of-the-art products and technologies, recognizing promising innovations, identifying gaps, and adapting them to Reddit's unique platform and community.