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Staff Engineer, Ads Lift Measurement

Reddit

Staff Engineer, Ads Lift Measurement

Reddit

Remote - United States

·

Remote

·

Full-time

·

1mo ago

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.

Role Scope & 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.

Minimum Qualifications

  • 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.

Preferred Qualifications

  • 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

Benefits:

  • Comprehensive Healthcare Benefits and Income Replacement Programs

  • 401k Match

  • Family Planning Support

  • Gender-Affirming Care

  • Mental Health & Coaching Benefits

  • Flexible Vacation & Reddit Global Days Off

  • Generous 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 salary 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 salary range for this position is:$217,000—$303,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.

During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.

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, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Reddit 소개

Reddit

Reddit

Public

Reddit is an American proprietary social news aggregation and forum social media platform. Registered users submit content to the site such as links, text posts, images, and videos, which are then voted up or down by other members.

1,001-5,000

직원 수

San Francisco

본사 위치

$10B

기업 가치

리뷰

3.9

10개 리뷰

워라밸

3.2

보상

4.0

문화

3.8

커리어

3.0

경영진

2.8

72%

친구에게 추천

장점

Flexible working hours

Great team culture and supportive colleagues

Good learning opportunities and interesting projects

단점

High workload and tight deadlines

Can be stressful and overwhelming

Limited growth potential and lacks direction

연봉 정보

23개 데이터

Junior/L3

Senior/L5

Junior/L3 · Sales Analytics Automation, Central Partner

1개 리포트

$222,740

총 연봉

기본급

$193,773

주식

-

보너스

-

$222,740

$222,740

면접 경험

8개 면접

난이도

2.3

/ 5

소요 기간

14-28주

합격률

50%

경험

긍정 13%

보통 0%

부정 87%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit