Netflix

Sales Solutions Lead – Technology Integrations

Netflix

full-time

Posted on:

Location Type: Hybrid

Location: Sydney • Australia

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AWSCloudETLPythonSQL

About the role

  • 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.
  • Partner with Product and Engineering counterparts on implementations, ensuring delivery against agreed technical designs.

Requirements

  • 5+ years in digital media, advertising technology, or related technical architecture roles
  • 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.
Benefits
  • Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLPythondata clean room technologiesfirst-party data strategiesidentity resolutionmeasurement frameworksAPI-based solutionsdifferential privacyencryptionsynthetic data
Soft Skills
mentoringtechnical knowledge sharingcross-functional collaborationclient-facing presentationconsultative selling