About the role
AI summarisedNetflix seeks a Sales Solutions Lead for APAC to drive technology integrations for advertising clients. The role focuses on data collaboration, clean room integrations, and privacy-enhanced advertising solutions, bridging technical adoption with business outcomes. The lead will partner with clients, agencies, and technology providers to design and scale innovative media products.
BusinessFull-timeAdvertising
Key Responsibilities
- 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.
- 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.
- 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.
Requirements
- 5+ years in digital media, advertising technology, or related technical architecture roles, with at least 3+ 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.