Sales Solutions Lead (LATAM - Tech Integrations)
NetflixSao Paulo,BrazilPosted 31 March 2026
Job Description
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.
The LATAM Sales Solutions Team acts as a strategic overlay to client and agency sales, as well as account management teams. The team specializes in client technology integrations, audience-driven media strategies, and consultative programmatic media sales, spanning direct clients, agencies, and partners such as trade desks, DSPs, and aggregators.
This team connects data strategy, media activation, and revenue growth by delivering innovative, data-driven advertising solutions in close collaboration with cross-functional teams. The mission is to ensure that advertisers can fully leverage programmatic media strategies with Netflix advertising products through a consultative approach, where audiences, smart bidding, and measurement play a fundamental role, driving client success and expanding programmatic investment allocations.
About the Role
The Tech Integrations Lead 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. Successful candidates will combine 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, emer ... (truncated, view full listing at source)
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