Manager, Machine Learning - Media Planning, DSE

📌 Core Information

🔹 Job Title: Manager, Machine Learning - Media Planning, DSE

🔹 Company: Netflix

🔹 Location: Remote (USA)

🔹 Job Type: Full-time

🔹 Category: Data Science & Analytics

🔹 Date Posted: July 8, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Remote (USA)

🚀 Job Overview

Key aspects of this role include:

• Leading and growing a team of ML Scientists, Data Scientists, and Analytics Engineers
• Collaborating with cross-functional stakeholders to develop a team roadmap
• Driving impactful business outcomes through high-quality technical outputs
• Acting as an ambassador for the Netflix Ads product

ASSUMPTION: This role requires a blend of leadership, technical, and communication skills to succeed.

📋 Key Responsibilities

✅ Hire, inspire, and grow high-performing team members

✅ Lead strong partnerships with stakeholders across the business

✅ Instill an inclusive and innovative culture within the team and organization

✅ Develop a team charter and roadmap that optimizes team impact and reflects evolving business needs

✅ Ensure consistently trustworthy and high-quality technical outputs that influence and impact the business

ASSUMPTION: The role may require occasional travel for team-building and stakeholder meetings.

🎯 Required Qualifications

Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, or a related discipline). Advanced degree preferred.

Experience: 5-10 years of experience in leading hybrid Data Science and ML teams in the Ads space.

Required Skills:

• Proven tenacity, resilience, and leadership experience
• Ability to quickly assess and understand complex systems
• Strong communication skills for both technical and creative audiences
• Capacity to translate business objectives into actionable analyses
• Passion for TV and movies and defining the future of entertainment

Preferred Skills:

• Experience with media planning and recommendation systems
• Familiarity with Netflix's products and services

ASSUMPTION: A Master's degree or Ph.D. in a relevant field would be beneficial but not required.

💰 Compensation & Benefits

Salary Range: $360,000 - $920,000 USD per year. Compensation is determined based on market indicators, job family, background, skills, and experience.

Benefits:

• Stock Options

Working Hours: Full-time, with flexible hours and a focus on results.

ASSUMPTION: The salary range provided is an estimate based on market data and may vary depending on the candidate's specific qualifications and experience.

📌 Applicant Insights

🔍 Company Context

Industry: Entertainment Providers. Netflix is a leading global entertainment service with over 300 million paid memberships in over 190 countries.

Company Size: 10,001+ employees. Netflix is a large organization with diverse teams and opportunities for growth.

Founded: 1997. Netflix was founded as a DVD rental service and has since evolved into a streaming giant.

Company Description:

• Netflix offers a wide variety of TV series, films, and games across various genres and languages
• Members can watch as much as they want, anytime, anywhere, and can change their plans at any time
• Netflix is expanding into the ads business with a new lower-priced, ad-supported tier

Company Specialties:

• Revolutionizing the way people watch TV shows and movies
• Providing a premium, better-than-linear TV brand experience for advertisers

Company Website: Netflix Careers

ASSUMPTION: Netflix's focus on innovation and customer experience drives its success in the entertainment industry.

📊 Role Analysis

Career Level: Mid- to Senior-level management role with significant impact on the organization's ads business.

Reporting Structure: This role reports directly to the Director of Media Planning and Recommendation within the Ads DSE team.

Work Arrangement: Remote (USA) with occasional travel for team-building and stakeholder meetings.

Growth Opportunities:

• Leading and growing a high-performing team
• Collaborating with cross-functional stakeholders to drive business impact
• Potential career progression into senior leadership roles within Netflix's Ads business

ASSUMPTION: This role offers significant growth opportunities for the right candidate, both in terms of team leadership and personal development.

🌍 Location & Work Environment

Office Type: Remote work with occasional travel for team-building and stakeholder meetings.

Office Location(s): Remote (USA)

Geographic Context:

• Netflix is a global company with members in over 190 countries
• The Ads DSE team is a growing organization focused on driving success for Netflix's ads business
• The remote work environment allows for flexibility and work-life balance

Work Schedule: Full-time, with flexible hours and a focus on results.

ASSUMPTION: The remote work environment at Netflix fosters collaboration and innovation among team members.

💼 Interview & Application Insights

Typical Process:

• Phone screen with a recruiter to discuss the role and qualifications
• Technical interview with a team member to assess problem-solving and analytical skills
• Behavioral interview with the hiring manager to evaluate leadership and communication skills
• Final interview with the team to discuss cultural fit and team dynamics

Key Assessment Areas:

• Technical skills in machine learning and data science
• Leadership and management abilities
• Communication and presentation skills
• Cultural fit and alignment with Netflix's values

Application Tips:

• Highlight relevant experience in leading hybrid Data Science and ML teams in the Ads space
• Tailor your resume and cover letter to emphasize your quantitative and qualitative skills
• Prepare for behavioral interview questions that focus on leadership, problem-solving, and communication

ATS Keywords: Machine Learning, Data Science, Analytics, Leadership, Communication, Collaboration, Problem Solving, Quantitative Analysis, Qualitative Analysis, Project Management, Team Building, Media Planning, Advertising, Technical Expertise, Strategic Thinking, Product Management

ASSUMPTION: Netflix's interview process is designed to assess both technical skills and cultural fit, with a focus on finding the best candidate for the role.

🛠️ Tools & Technologies

• Machine Learning frameworks (e.g., TensorFlow, PyTorch)
• Data processing and analysis tools (e.g., Pandas, NumPy, SQL)
• Programming languages (e.g., Python, R)
• Collaboration and project management tools (e.g., JIRA, Confluence)

ASSUMPTION: The specific tools and technologies required for this role may vary depending on the team's current stack and the candidate's expertise.

👔 Cultural Fit Considerations

Company Values:

• Inclusion
• Integrity
• Excellence

Work Style:

• Collaborative and innovative
• Data-driven and analytical
• Focused on delivering results and driving business impact

Self-Assessment Questions:

• How do you foster an inclusive culture within your team and the broader organization?
• Can you provide an example of a time when you had to overcome a significant challenge to drive business impact?
• How do you balance the need for technical rigor with the need to deliver results quickly?

ASSUMPTION: Netflix values diversity, inclusion, and collaboration, and candidates who demonstrate these qualities are more likely to succeed in the organization.

⚠️ Potential Challenges

• Managing a remote team with members across different time zones
• Balancing the need for technical depth with the need for quick decision-making
• Navigating a large, complex organization with multiple stakeholders
• Adapting to the evolving media landscape and changing business priorities

ASSUMPTION: The right candidate will be able to overcome these challenges and thrive in Netflix's dynamic and fast-paced environment.

📈 Similar Roles Comparison

• This role is unique in its focus on media planning and recommendation systems within Netflix's Ads business
• Similar roles in other organizations may have a broader focus on data science or machine learning, rather than the specific application to media planning
• Career progression in this role may lead to senior leadership positions within Netflix's Ads business

ASSUMPTION: This role offers a unique opportunity to specialize in media planning and recommendation systems within a leading entertainment provider.

📝 Sample Projects

• Developing a machine learning model to predict ad performance for a specific audience segment
• Analyzing user behavior data to inform media planning strategies
• Collaborating with product and engineering teams to integrate machine learning models into Netflix's Ads product

ASSUMPTION: The specific projects for this role may vary depending on the team's priorities and the candidate's expertise.

❓ Key Questions to Ask During Interview

• Can you describe the team's current priorities and how this role will contribute to their success?
• How does this role fit into the broader organization's strategy for its Ads business?
• What are the biggest challenges facing the team, and how can this role help address them?
• How does Netflix support the professional development and growth of its employees?
• What is the team's approach to collaboration and decision-making, especially in a remote work environment?

ASSUMPTION: Asking thoughtful questions during the interview process demonstrates your interest in the role and your ability to contribute to the team's success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through Netflix Careers
• Tailor your resume and cover letter to highlight your relevant experience and skills
• Prepare for the interview process by researching Netflix's business and values
• Follow up with the recruiter after your application to express your interest in the role

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.