Senior Technical Product Manager, Ads ML Platform

Remote from: USA
Salary, yearly, USD: 190,800 - 267,100
Department: Product & Operations
Employment type: Full Time,
Job posted: 23 May 2026
Apply before: 23 Jun 2026
Experience level: Senior
Views / Applies: 19 / 1

About company

About Reddit

Dive into anything

Internet
2005

Actively Hiring

AI Summary

Reddit is seeking a Senior Technical Product Manager for its Ads ML Platform team, which builds the infrastructure powering ad targeting and ranking models. The role involves defining the vision and roadmap for ML tools, integrating generative AI, and improving developer productivity. The ideal candidate has experience with internal technical products, ML lifecycle, and cross-functional leadership. This position offers a competitive salary and the opportunity to work at the forefront of ML and advertising technology.

Job Complexity

Easy Hard

AI Insight This role requires deep technical expertise in ML platforms and product management, along with strategic vision and cross-functional leadership, making it highly challenging.

Salary Analysis

AI Insight The offered salary range of $190,800 to $267,100 is competitive for a senior technical product manager role in the ML platform space. The median of $228,950 aligns well with market rates for top tech companies, reflecting the specialized nature of the role.

Key Skills

Product Management Machine Learning ML Platform Advertising Technology Generative AI Cross-functional Leadership Developer Tools Data Infrastructure Strategy Roadmap Planning

Cover Letter Sample

I am writing to express my strong interest in the Senior Technical Product Manager, Ads ML Platform position at Reddit. With my background in product management for internal technical platforms and deep expertise in machine learning, I am excited about the opportunity to drive the vision for Reddit's ads ML infrastructure.

At my previous role, I led the development of a scalable ML platform that reduced model deployment time by 40%, directly impacting business KPIs. I have a proven track record of bridging the gap between complex ML systems and business outcomes, and I am passionate about leveraging cutting-edge technologies like generative AI to accelerate developer productivity.

I am particularly drawn to Reddit's mission to democratize high-performance advertising and the chance to work with a world-class team. I look forward to the possibility of contributing to Reddit's growth and innovation in the ads marketplace.

Possible Interview Questions

How would you prioritize features for the Ads ML Platform when engineering resources are limited?

I would use a framework that balances impact on developer velocity, business outcomes, and technical feasibility. I'd gather input from MLEs and data scientists to identify pain points, then score each feature based on factors like potential time savings, alignment with strategic goals, and implementation complexity. I'd also consider dependencies and quick wins to build momentum. The final prioritization would be shared with stakeholders to ensure alignment.

Describe a time you successfully influenced engineering teams to adopt a new technology or process.

At my previous company, I advocated for adopting a unified model-serving infrastructure. I built a business case showing how it would reduce latency and operational costs, then worked with a key engineering lead to pilot the solution on a low-risk project. After demonstrating a 30% improvement in inference speed, the team adopted it across the org. I also provided documentation and training to ease the transition.

How do you stay current with ML research and decide which innovations to incorporate into your product?

I regularly read papers from top conferences like NeurIPS and ICML, follow ML blogs, and attend industry meetups. For deciding what to incorporate, I assess relevance to our platform's challenges (e.g., training efficiency, model serving). I then run small experiments or proof-of-concepts to validate the approach before committing to a full integration. I also collaborate with research scientists to get their perspective.

Can you explain a complex ML concept to a non-technical stakeholder?

I would explain model training as a process similar to teaching a student: we show the model many examples (data) and correct its mistakes until it learns to make accurate predictions. For inference, I'd describe it as the model applying what it learned to new situations, like recommending an ad based on user behavior. I use analogies and avoid jargon to ensure clarity.

What KPIs would you use to measure the success of the Ads ML Platform?

Key KPIs include model deployment frequency, time from training to production, infrastructure cost per model, latency percentiles for inference, and developer satisfaction scores. Additionally, I'd track adoption metrics like number of models served and teams using the platform, as well as business impact such as improvements in ad performance (e.g., CTR, ROI) attributable to platform enhancements.

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.

Team Description:

The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter.

The Role:

As the Senior Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures.

You will be the bridge between complex ML systems and business outcomes. Whether it’s integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you.

Responsibilities

Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve.
Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever.
Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure.
Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity.
Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform.
Distill pain points, translate to requirements: Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org.

Minimum Qualifications:

Experienced product manager with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking.
Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring).
Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities.
Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps.
Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams.

Preferred Qualifications:

Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management.
Understanding of the Ad Tech ecosystem (bidding, ranking, targeting).
Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG).

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:

$190,800—$267,100 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.

Apply now >