1,888,485open jobs
110,751companies
256,311added this week
Browse all
Salary
$126k – $234k per year
Location
Hybrid (San Francisco, New York, Bellevue, Culver City, United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 18, 2026. Warner Bros. Discovery scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Headquartered in New York City, New York, United States, Warner Bros. Discovery (WBD) is a premier global media and entertainment conglomerate. Formed from the merger of WarnerMedia and Discovery, the company specializes in film production, television broadcasting, streaming media, news, and sports entertainment through iconic brands such as Warner Bros. Pictures, HBO, Max, CNN, DC Studios, and Discovery Channel. The enterprise monetizes its extensive content portfolio and intellectual property via direct-to-consumer subscription streaming services, theatrical distribution, television network affiliate fees, digital advertising, and global content licensing.

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role...

We are seeking a skilled and motivated Sr. Product Manager to join our team and lead the development and enhancement of our personalization services on HBO Max. As a Sr. Product Manager, you will play a pivotal role in defining the product strategy, driving innovation, and delivering exceptional user experiences. Your expertise and leadership will guide the direction of personalized and automated recommendations, ensuring they remain at the forefront of industry trends and customer expectations.

Your efforts will help us scale to >100m customers and become the leading streaming company. You will identify and quantify customer problems, determine approaches to address them, and A/B test different features to solve them. You will be part of a team of Product Managers focused on Personalization, working closely with Software Engineers and Data Scientists.

The team has a diverse range of skill sets, experience in AI, Machine Learning, Recommenders, related fields across streaming media, e-commerce, and from top-flight tech firms. You will partner with Editorial and Marketing professionals and discuss regularly with company executives.

Your Role Accountabilities...

We’re seeking a seasoned Sr. Product Manager to lead personalization efforts at WBD. This role is central to our mission to create intelligent, adaptive, and trusted experiences across HBO Max. The ideal candidate has deep experience with ML-driven recommendation at scale, thrives in technically complex ecosystems, and is equally fluent in data science, user behavior, and business impact.

As a key contributor for personalization at WBD, you will:

  • Define Strategy: Own the end-to-end product strategy for ML-powered personalization and discovery. Identify opportunities that align with WBD’s strategic goals and improve engagement, retention, and customer satisfaction.
  • Drive Roadmap: Lead roadmap development for personalization systems, coordinating closely with engineering, data science, UX, and content teams to prioritize initiatives that balance innovation, quality, and speed.
  • Evolve the User Experience: Champion customer-centricity by leveraging experimentation, user research, and behavioral data to design and optimize personalized experiences across surfaces.
  • Orchestrate Systems Thinking: Manage complex ranking systems and feedback loops. Understand how data (user signals, content metadata) flows through algorithms and influences outcomes across product surfaces.
  • Stakeholder Leadership: Partner with executives, engineering leaders, data teams, and content strategists to align roadmaps, communicate outcomes, and translate vision into action.
  • Benchmark and Differentiate: Monitor trends in personalization, ML tooling, and competitors’ discovery experiences to inform roadmap priorities and strategic pivots.
  • Measure Impact: Define KPIs that align with both user value and business metrics (e.g., engagement, diversity, and relevance). Use experimentation and analytics to optimize performance and guide iteration.
  • Launch & Iterate: Lead go-to-market for personalization & recommendation capabilities, ensuring internal readiness, high-quality rollout, and learning-based iteration cycles.

Qualifications & Experience...

  • 5+ years of product management experience, with significant time spent on ML-driven products or content discovery systems.
  • Proven track record of shipping consumer-facing personalization or recommendation systems at scale.
  • Strong technical fluency-able to engage meaningfully with engineering and data science on ranking models, data pipelines, AI, and ML evaluation.
  • Deep understanding of A/B testing methodologies, statistical analysis, and product experimentation frameworks.
  • Systems thinker who can connect the dots between algorithmic performance, customer experience treatments, and business outcomes.
  • Excellent communicator who can synthesize complexity for a range of audiences, from executives to junior engineers.
  • Experience leading cross-functional teams in agile environments; familiarity with tools like Jira and Confluence.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field (preferred but not required).

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery’s total compensation package for employees. Pay Range: $126,000.00 - $234,000.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.If you’re a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
1,888,485 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Product
Similar stack
Same company
San Francisco
$75k – $100k per year • In office • Secret • 6+ years exp • Bachelor's Degree • Los Alamos
Apply
$232k – $282k per year • Remote (LATAM, United States) • 10+ years exp • Miami • San Francisco
Apply
$135k – $220k per year • Equity • Hybrid • Full-Time • 3+ years exp • Bachelor's Degree • Pittsburgh
Apply
$197k – $316k per year • Equity • Hybrid • Full-Time • 7+ years exp • Bachelor's Degree • Mountain View • San Francisco • Pittsburgh • Seattle
Management
Agile
Waterfall
Apply
$181k – $290k per year • Equity • Hybrid • Full-Time • 7+ years exp • PhD • Mountain View • San Francisco • Pittsburgh
Databases
Amazon Aurora
AI/ML
Anomaly Detection
Machine Learning
DevOps
GitHub Actions
CI/CD
AWS
Buildkite
Bazel
Progressive Delivery
SpaceTech
DO-178C
MedTech
ISO 13485
Apply
≈ $187k – $350k per year (Estimated) • In office • Full-Time • 8+ years exp • High School Diploma • New York • Charlotte • Chicago • Atlanta
AI/ML
Reinforcement Learning
AI Agents
Human-in-the-Loop
Management
Agile
Apply
≈ $18k – $47k per year (Estimated) • In office • Full-Time • 8+ years exp • Master's Degree • Bengaluru
Management
Agile
Apply
Senior Data Analyst 7 days ago
≈ $15k – $30k per year (Estimated) • In office • 4+ years exp • Bachelor's Degree • Hyderabad
Python
SQL
Python
Flask
FastAPI
pySpark
Databases
Snowflake
Databricks
AI/ML
LangChain
Spark
RAG
Streamlit
DevOps
Rest API
Azure DevOps
Azure
CI/CD
Docker
GitHub
Analytics
ETL/ELT
Azure Data Factory
Management
Agile
Scrum
Apply
IT Scrum Lead 7 days ago
≈ $25k – $55k per year (Estimated) • In office • Full-Time • Bachelor's Degree • Manila
Management
Agile
Scrum
Apply
≈ $134k – $247k per year (Estimated) • In office • Full-Time • 7+ years exp • Bachelor's Degree • Boston • Toronto • Waterloo
JavaScript
C#
C#
.NET
AI/ML
Copilot
Prompt Engineering
AI Agents
RAG
Human-in-the-Loop
LLM Guardrails
Agentic Workflows
Frontend
React.js
DevOps
Azure
CI/CD
GitOps
Kubernetes
Azure AKS
Management
Agile
Scrum
Apply
$137k – $254k per year • Hybrid • Full-Time • 11+ years exp • Silver Spring
Analytics
Tableau
Power BI
Apply
$130k – $241k per year • Hybrid • Full-Time • 8+ years exp • New York • Atlanta • Washington
AI/ML
CNN
Analytics
A/B Testing
Apply
Staff Product Manager 2 months ago
$147k – $273k per year • Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • New York • Bellevue
Analytics
A/B Testing
Apply
$123k – $228k per year • Remote (United States) • Full-Time • 7+ years exp • United States
SQL
Web3
Avalanche
Analytics
A/B Testing
Apply
$133k – $247k per year • Hybrid • Full-Time • 8+ years exp • New York
DevOps
CI/CD
Incident Management
Apply
≈ $183k – $339k per year (Estimated) • In office • 6+ years exp • Bachelor's Degree • San Francisco
Apply
Product Manager 1 day ago
≈ $163k – $343k per year (Estimated) • In office • Full-Time • San Francisco
Apply
$190k – $235k per year • In office • Full-Time • 5+ years exp • San Francisco • New York
AI/ML
AI Agents
Apply
$74k – $111k per year (gross) • Equity • In office • Full-Time • San Francisco
Python
SQL
Mobile
AppsFlyer SDK
Adjust
Game Dev
Unity
Analytics
Looker
Management
Jira
Apply
$144k – $215k per year (gross) • Equity • In office • Full-Time • Bachelor's Degree • New York • San Francisco
AI/ML
DPO
Game Dev
Unity
Apply
See all jobs
This is one of many
1,888,485 more open roles from verified company boards, updated every day.