Senior Product Manager, ML Signals

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

.

At Reddit we continue to grow our teams with the best talent. We're completely

remote friendly

.

As a Senior Product Manager for ML Signals, you will define and execute the team roadmap by partnering closely with ML Signals Machine Learning Engineers, other surface consumer product managers, data scientists, and policy experts. With a strong background in the latest ML/AI research, you will lead the expansion of content understanding signals across all modalities, including text, image, and video, to support a unified multimodal representation of Reddit content. You will define the goals and success metrics, identify initiatives to achieve the goals and collaborate with cross functional partners to deliver these initiatives. You will be able to prioritize projects by what will have the most downstream impact and help drive adoption of these signals across the org.

Responsibilities

Signal Strategy & Vision: Define the long-term roadmap for foundational "content understanding" signals, including topicality (interest-based tagging), content maturity, and quality scores used across the platform.

Platform Adoption: Act as the primary bridge between the MLE team and downstream consumers (e.g., Feed, Ads, Search, and Safety). Drive the integration of ML signals to improve personalization and brand safety.

Signal Governance: Establish standardized definitions and success metrics for content quality and utility, ensuring a consistent understanding of "high quality" across different product surfaces.

Data Strategy & Labeling: Lead the strategy for high-quality training data, including the use of "Human-in-the-Loop" (HITL) workflows and modern automated evaluation techniques (e.g., using Large Language Models to assist in data labeling).

Performance Optimization: Partner with Data Science and MLEs to monitor signal health, coverage, and accuracy (Precision/Recall), and translate technical performance into business impact (e.g., retention, engagement, or revenue).

Cross-Functional Leadership: Navigate complex tradeoffs between Policy, Engineering, and Product teams to ensure signals meet both user safety requirements and product growth goals.

Required Qualifications

Technical Leadership & Experience

5+ years of Product Management experience

, specifically focused on Machine Learning, NLP, or Platform products.

A proven history of shipping high-impact products

that have delivered measurable business results.

Autonomy in roadmap management

, with the ability to lead complex services from initial vision to execution and scaling.

Strategic vision

, including the ability to define clear goals and success metrics that align with broader organizational objectives.

Machine Learning Expertise

Deep understanding of the ML lifecycle

, encompassing data collection, feature engineering, model evaluation, and deployment.

Technical proficiency in modern AI

, including comfortable fluency in embeddings, classifiers, ranking systems, and LLM capabilities.

Direct experience with LLM-based evaluation frameworks

(e.g., "LLM-as-a-judge") and the design of scalable, automated data curation pipelines.

Analytical self-sufficiency

, with the ability to independently gather and derive actionable insights from complex datasets.

Communication & Collaboration

The ability to synthesize technical complexity

into clear product requirements and executive-level summaries.

Cross-functional influence

, with a demonstrated ability to drive internal adoption of platform tools and integrate technical signals into diverse product roadmaps.

Effective technical partnership skills

, maintaining the depth of knowledge required to collaborate closely with ML engineers and architects.

Nice To Have

Professional background in Data Science or Engineering

, providing a hands-on perspective on technical implementation.

Active engagement with the ML research community

, including staying current with the latest white papers and industry breakthroughs.

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

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

$190,800

—

$267,100 USD

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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.