Director, Sales Solutions

Netflix is one of the world's leading entertainment services, with 283 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 Role

We are seeking a Director, Sales Solutions to serve as a strategic overlay to our client and agency sales teams. This role will specialize in driving revenue through programmatic, commercializing agency and client technology integrations and customized audience-driven media planning, bridging technical solutions, and sales execution. The Director will lead a team of Sales Solutions domain experts across planning, agency, client technology integrations and programmatic, ensuring alignment with sales objectives and technical innovation., ensuring seamless collaboration between data-driven insights and sales strategy.

The ideal candidate has a deep understanding of data collaboration technologies, privacy-compliant audience activation, and media strategy, enabling them to drive revenue growth through innovative, data-driven advertising solutions.

Key Responsibilities

Leadership & Team Management

• Lead and mentor a team of Planning Specialists and Sales Solutions Architects, ensuring alignment with sales objectives.

• Develop team capabilities around data-driven audience planning, clean room integrations, and technical sales enablement.

• Foster a collaborative environment between sales, product, and data teams to enhance go-to-market strategies.

Programmatic Strategy & Technology Integrations

• Serve as the subject matter expert on data clean rooms, agency technology, and programmatic buying, guiding internal teams and clients on implementation and best practices.

• Collaborate with product, data science, and engineering teams to design scalable and privacy-compliant data integrations.

• Educate clients and internal stakeholders on the value of clean rooms for audience segmentation, measurement, and attribution.

Sales Enablement & Client Consultation

• Act as a strategic consultant to client and agency sales teams, translating complex data and technology capabilities into actionable media solutions.

• Partner with commercial leads to develop and present data-driven proposals that enhance audience targeting and campaign performance.

• Work closely with external partners, including advertisers, agencies, and technology vendors, to unlock new revenue opportunities.

Customized Audience-Driven Media Planning

• Oversee the development of tailored audience strategies leveraging first-party, second-party, and third-party data within clean room environments.

• Work with product, insights, and measurement teams to provide data-backed recommendations for optimal media mix and targeting.

• Develop scalable playbooks and case studies to drive the adoption of audience-based planning approaches.

Cross-Functional Collaboration & Thought Leadership

• Partner with product, marketing partnerships, measurement, and commercial teams to influence roadmap priorities based on market demand.

• Stay ahead of industry trends in data privacy, identity resolution, and programmatic media to advise internal teams and clients.

• Represent the company at industry events, client meetings, and speaking engagements to reinforce our thought leadership in data-driven advertising.

Qualifications

• 15+ years of experience in digital media, ad tech, data strategy, or related fields.

• Strong knowledge of data clean rooms (e.g., AWS Clean Rooms, Snowflake, Google PAIR, LiveRamp Safe Haven, Habu, InfoSum, etc.) and their role in advertising.

• Experience working with audience segmentation, media planning, and programmatic buying.

• Ability to bridge technical and commercial teams, translating complex solutions into business outcomes.

• Proven leadership experience in managing teams across sales planning and technical sales functions.

• Excellent communication, presentation, and storytelling skills with the ability to influence C-level stakeholders.

• Familiarity with industry regulations (GDPR, CCPA) and privacy-first approaches to audience targeting.

Preferred Qualifications

• Experience at a media company, agency, or ad tech provider with a focus on data-driven sales.

• Proficiency in SQL, Python, or other data analysis tools (not mandatory but a plus).

• Knowledge of CDPs, DMPs, or identity resolution platforms.

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 overall market range for roles in this area of Netflix is typically $380,000 - $900,000. A portion of this compensation is variable.

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.