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Sales Solutions Lead (Technology Integrations)
Tokyo,Japan; Pyrmont,New South Wales,Australia; Singapore,Singapore
·
On-site
·
Full-time
·
3w ago
Required Skills
SQL
Python
Data analysis
API design
Clean room technology
Data strategy
Technical architecture
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 person 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.
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Key Responsibilities Data Collaboration Strategy & Technical Leadership
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Serve as subject matter expert on clean room integrations (Snowflake, AWS, Databricks, Google PAIR, Live Ramp/Habu, Info Sum, etc.).
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Lead technical integration discovery and requirements gathering with clients, agencies, and partners to align business needs and technical solutions.
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Ensure all solutions meet security, privacy, and performance requirements.
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Develop reusable patterns, playbooks, and best practices for scalable, privacy-first activations.
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Sales Enablement & Client Engagement
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Translate complex data capabilities into actionable strategies for advertisers.
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Guide clients and agencies through technical decisions, offering best practice recommendations to maximize business impact.
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Design and present custom clean room and agency platform integration strategies that drive adoption and ad spend.
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Develop case studies, technical documentation, and implementation guides to enable commercial teams and clients.
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Drive adoption of new product features, tools, APIs, and integrations.
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Technical Excellence & Performance Optimization
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Review and optimize solution performance across integrations and campaigns.
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Conduct architectural reviews to ensure solutions are efficient, scalable, and aligned with standards.
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Collaborate with product teams on feature requirements and influence product roadmap decisions.
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Partner with Product and Engineering counterparts on implementations, ensuring delivery against agreed technical designs.
Qualifications:
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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.
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Experience leading solution design and implementation for enterprise or large-scale advertising clients.
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Proficiency in first-party data strategies, identity resolution, and measurement frameworks and methodologies
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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.
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Familiarity with agency tools and systems used for planning, buying, and measurement.
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Familiarity with at least one public cloud (AWS, Google, Microsoft) and common data formats, pipelines, and ETL.
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Strong SQL skills required.
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Baseline knowledge of Python required.
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Experience in designing and implementing scalable API-based solutions for advertising or marketing use cases.
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Comfort interpreting and communicating API specifications.
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Familiarity with privacy preserving techniques (differential privacy, encryption, synthetic data) preferred but not required.
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Familiarity with AI/ML applications in advertising and audience strategies.
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Familiarity with data privacy regulations (GDPR, CCPA) and related best practices.
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Ability to mentor others and foster technical knowledge sharing.
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Ability to work cross-functionally with product and engineering, legal, and marketing teams.
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Excellent client-facing presentation and consultative selling skills.
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.
インクルージョンは当社が重視する価値観の一つであり、すべての候補者に対して有意義な面接体験を提供できるよう努めています。採用プロセス中に障害やその他の理由で配慮や調整が必要な場合は、採用担当者にご相談ください。
私たちは、多様性が強いチームを育む基盤であると考え、雇用主として機会平等を推進しています。多様性とインクルージョンを重視し、真摯な姿勢でその推進に取り組んでいます。人種、民族、宗教、肌の色、出身地、性別、性自認、性表現、性的指向、年齢、婚姻状況、軍歴、障害の有無に関わらず、一切の差別を行いません。
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About Netflix

Netflix
PublicAn online streaming platform that enables users to watch TV shows and movies.
10,001+
Employees
Los Gatos
Headquarters
$280B
Valuation
Reviews
4.2
15 reviews
Work Life Balance
4.2
Compensation
4.5
Culture
3.2
Career
3.8
Management
3.0
65%
Recommend to a Friend
Pros
Very high compensation packages (430k-700k)
Fully remote work opportunities
All cash compensation structure
Cons
Lower compensation than expected in some cases
Difficult interview process
Simple/uninteresting technical problems
Salary Ranges
1,869 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Production Assistant
83 reports
$52,604
total / year
Base
$52,604
Stock
-
Bonus
-
$36,552
$75,706
Interview Experience
4 interviews
Difficulty
4.0
/ 5
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Behavioral Interview
6
Team Matching
7
Final Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
News & Buzz
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