Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Marketing @ 7
Distributed Systems @ 7
Data Science @ 7
Hiring @ 4
Leadership @ 4
Communication @ 4
API @ 7
HTTP @ 4
Experimentation @ 7
Reporting @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit http://www.redditinc.com.
The Ads Measurement Engineering team builds the systems that power advertiser outcomes and ads optimization across Reddit’s Ads platform. The team owns critical infrastructure and products spanning conversion signal ingestion, attribution, lift measurement, reporting, and the reliable delivery of measurement data to downstream ML and ads systems.
We are looking for a Director of Engineering to lead this organization. This leader will drive the technical strategy and execution for scalable measurement systems that improve advertiser performance and enable effective optimization across the ads stack.
This role requires strong technical depth in ads measurement and distributed systems, as well as the ability to lead complex cross-functional initiatives across Engineering, Product, Data Science, Product Marketing, and Business Development. The ideal candidate combines organizational leadership with a hands-on engineering mindset and can effectively operate across strategy, architecture, and execution.
Responsibilities
- Lead and grow a high-performing organization of engineering managers and engineers focused on Ads Measurement infrastructure and products
- Define and execute the technical roadmap for key measurement capabilities including conversion ingestion, attribution, signal quality, lift measurement, and downstream ML signal delivery
- Drive engineering execution across scalability, reliability, latency, and data quality requirements for critical measurement systems
- Partner closely with Product, Data Science, ML Engineering, Product Marketing, and Business Development to align technical investments with advertiser and business priorities
- Improve the quality, usability, and trustworthiness of measurement signals used across reporting, optimization, and ads delivery systems
- Establish strong engineering practices around system design, operational excellence, experimentation, and long-term platform maintainability
- Identify architectural gaps, technical risks, and scaling bottlenecks, and drive solutions across organizational boundaries
- Hire, mentor, and develop engineering leaders and senior engineers while fostering a culture of technical rigor, accountability, and execution velocity
- Stay current with industry trends in ads measurement, attribution, and signal resilience in a rapidly evolving ecosystem
Qualifications
- 10+ years of software engineering experience, including experience leading engineering teams and organizations in the ads or measurement domain
- Experience leading engineering managers and senior engineers in building large-scale distributed systems and data-intensive platforms
- Strong technical understanding of ads measurement systems and technologies such as conversion APIs, pixel infrastructure, attribution systems, signal quality, and lift measurement
- Experience building or operating systems that support ML optimization, ads delivery, reporting, or experimentation use cases
- Proven ability to drive cross-functional initiatives across engineering, product, data science, and go-to-market teams
- Strong systems thinking with the ability to balance long-term architecture, execution speed, and operational reliability
- Excellent communication and organizational leadership skills, with experience aligning teams around technical strategy and business priorities
- Familiarity with the evolving ads measurement ecosystem and industry trends impacting attribution and signal reliability
Benefits
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Pay Transparency
The base salary range for this position is:
$286,700 - $401,400 USD
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. Reddit offers a wide range of benefits to U.S.-based employees. Final offers depend on skills, experience, and other factors. For more, visit https://www.redditinc.com/careers/.
Additional information
- Interviews in select roles and locations may be recorded, transcribed and summarized by AI; candidates can opt out prior to scheduled interviews
- During interviews Reddit may collect Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video), and other categories you choose to share; recordings are deleted after hiring decisions. See Reddit's Candidate Privacy Policy for details.