Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About the team:

The Sales Solutions Team serves as a strategic overlay to client, agency sales, and account management teams, specializing in client technology integrations, audience-driven media strategies, and programmatic media sales spanning client direct, agency, and reseller/aggregator business segments. This team ensures a seamless connection between data strategy, media activation, and revenue growth by providing innovative, data-driven advertising solutions in collaboration with cross-functional teams. Together, this team ensures that advertisers can effectively leverage audience strategies with Netflix advertising products to drive client success and grow programmatic budget allocations.

About the Role:

The Lead, Sales Solutions (Technology Integrations) is a strategic and technical leader specializing in data collaboration, clean room integrations, and the application of technology for privacy-enhanced advertising use cases, including media planning, activation, and campaign measurement. This role connects technical adoption of Netflix products and solutions with business outcomes, empowering advertisers and agencies to unlock advanced media planning, campaign activation, and measurement use cases.

You will partner with clients, agencies, and technology providers to design, implement, and scale innovative, secure, and performant media products and solutions, including data clean rooms, platform integrations, API development, and other approaches to data integration. Your expertise will influence both client strategies and the evolution of our internal products. The ideal candidate combines deep knowledge of data collaboration techniques, including data clean rooms, with architectural thinking and the ability to guide complex integrations from discovery to delivery.

Key Responsibilities:
Data Collaboration Strategy & Technical Leadership

• Serve as subject matter expert on clean room integrations (Snowflake, AWS, Databricks, Google PAIR, LiveRamp/Habu, InfoSum, etc.).
• Lead technical integration discovery and requirements gathering with clients, agencies, and partners to align business needs and technical solutions.
• Ensure all solutions meet security, privacy, and performance requirements.
• Develop reusable patterns, playbooks, and best practices for scalable, privacy-first activations.

Sales Enablement & Client Engagement

• Translate complex data capabilities into actionable strategies for advertisers.
• Guide clients and agencies through technical decisions, offering best practice recommendations to maximize business impact.
• Design and present custom clean room and agency platform integration strategies that drive adoption and ad spend.
• Develop case studies, technical documentation, and implementation guides to enable commercial teams and clients.
• Drive adoption of new product features, tools, APIs, and integrations.

Technical Excellence & Performance Optimization

• Review and optimize solution performance across integrations and campaigns.
• Conduct architectural reviews to ensure solutions are efficient, scalable, and aligned with standards.
• Collaborate with product teams on feature requirements and influence product roadmap decisions.
• Partner with Product and Engineering counterparts on implementations, ensuring delivery against agreed technical designs.

Cross-Functional Collaboration & Thought Leadership

• Act as a trusted advisor to internal and external stakeholders, representing the company at client meetings, industry events, and forums.
• Share market insights, emerging trends, and technical learnings across teams.
• Mentor junior technical staff and contribute to the growth of technical expertise across the commercial organization.
• Support business development initiatives through technical insights and solution design.

Qualifications

• 10+ years in digital media, advertising technology, or related technical architecture roles, with at least 8+ years in data strategy, ad tech, martech, or clean room integration.
• Experience leading solution design and implementation for enterprise or large-scale advertising clients.
• Proficiency in first-party data strategies, identity resolution, and measurement frameworks and methodologies
• Strong knowledge of data clean room technologies and privacy-first audience activation with firsthand experience leveraging at least one of Snowflake, AWS, Databricks, LiveRamp/Habu, Google Ads Data Hub, Amazon Marketing Cloud (AMC), or Google PAIR.
• Familiarity with agency tools and systems used for planning, buying, and measurement.
• Familiarity with at least one public cloud (AWS, Google, Microsoft) and common data formats, pipelines, and ETL.
• Strong SQL skills required.
• Baseline knowledge of Python required.
• Experience in designing and implementing scalable API-based solutions for advertising or marketing use cases.
• Comfort interpreting and communicating API specifications.
• Familiarity with privacy preserving techniques (differential privacy, encryption, synthetic data) preferred but not required.
• Familiarity with AI/ML applications in advertising and audience strategies.
• Familiarity with data privacy regulations (GDPR, CCPA) and related best practices.
• Ability to mentor others and foster technical knowledge sharing.
• Ability to work cross-functionally with product and engineering, legal, and marketing teams.
• Excellent client-facing presentation and consultative selling skills.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $350k - $525k.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here .

Netflix is a unique culture and environment. Learn more here .

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.