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 www.redditinc.com.
Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web
conversion models towards state-of-the-art is critical for continued growth. The Conversion
modeling Team plays a pivotal role in developing and maintaining machine learning models that
drive user conversions from Reddit Ads, with a special focus on predictive modeling around
interactions like purchase, signup, add to cart, and other lower funnel user actions.
As we expand our machine learning infrastructure and incorporate new engagement signals, we are
looking for a skilled Engineering Manager who can lead this critical team. This role is
well-suited for a leader with deep machine learning expertise, strategic vision, and a
collaborative mindset to engage with both technical and cross-functional stakeholders.
We’re a remote-friendly company, and this position is open to candidates anywhere in the U.S.
Target Skills and Expertise
The Engineering Manager (EM) will be responsible for defining the team’s vision, setting
strategic direction, and executing a technical roadmap for conversion modeling at Reddit. This
involves:
Model Architectures: Expertise in architecting and implementing deep learning models, with
experience in ranking, recommendation, or conversion modeling.
ML Frameworks: Proficiency with mainstream ML libraries (TensorFlow, PyTorch).
End-to-End ML Lifecycle: Experience in training, testing, and deploying production-grade
machine learning models.
Data Pipelines: Experience orchestrating large-scale data generation and processing pipelines.
Ads domain Experience: Experience in interaction of ranking model with rest of Ads systems like
bidding, auction, retrieval etc
Ads Modeling (Preferred): Background in ads modeling or familiarity with engagement prediction
models in the ads domain is beneficial.
Role responsibilities:
The EM will lead a diverse, high-impact team and will need to navigate and foster collaboration
with various teams such as PM, DS, and engineering functions within Ads. Ideal candidates will
have:
People Management Experience: Prior experience managing engineering teams with a strong
emphasis on technical mentorship and team growth.
Set Technical Vision and Strategy: Ability to plan and execute a long-term technical strategy
aligned with business objectives. Define and execute a roadmap for conversion modeling,
balancing innovative modeling approaches with business objectives.
Drive Technical Execution: Oversee the model development lifecycle from ideation to deployment,
ensuring high standards of ML performance and robustness.
Lead and Mentor a High-Performing Team: Recruit, mentor, and retain top ML talent, fostering a
culture of growth, collaboration, and technical excellence.
Collaborate Cross-Functionally: Partner with PMs, data scientists, and other engineering teams
to align on engagement strategies, data requirements, and model KPIs.
Innovate in ML Architecture: Implement and optimize model architectures tailored to conversion
prediction, leveraging deep learning and advanced ML techniques.
Required qualifications:
At least 2+ of experience building and managing high-performing machine learning teams, ideally
in the Ads domain. Will consider tech lead experience as well
Deep ML Expertise: Deep hands-on experience working with machine learning models and deploying
them in large-scale production systems. Proven ability in training, evaluating, and
deploying large-scale models.
Technical Domain Knowledge: Experience with Ads conversion modeling, ranking (heavy
ranker experience) & recommendations experience is required.
Strategic Thinking: Ability to develop and communicate a clear, compelling technical strategy
that supports broader company objectives and addresses the needs of internal customers.
Impact-Driven Mindset: Passion for developing scalable, well-designed, and responsible AI
solutions that drive business value.
Exceptional Communication & Collaboration: Strong interpersonal skills and a collaborative
mindset, with the ability to effectively communicate complex technical topics to diverse
audiences and build strong relationships with cross-functional partners
Experience with Ads conversion modeling is a plus
Perks and Benefits:
100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY,
SF, LA and Chicago)
Competitive salary and equity options
Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set
up stipend etc)
Generous 401k matching
Flexible vacation policy
Paid parental leave (4+ months)
Family planning support
Paid volunteer time off
#LI-AS1
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:$230,000—$322,000 USDIn 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. |
