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- Tasks: Lead innovative media solutions and collaborate with clients on cutting-edge technology integrations.
- Company: Join Netflix, a global leader in entertainment with a diverse and inclusive culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make an impact in the advertising tech space while working with top-tier clients and technologies.
- Qualifications: 10+ years in digital media and strong knowledge of data strategies and clean room technologies.
- Other info: Be part of a dynamic team that values diversity and fosters career development.
The predicted salary is between 48000 - 72000 £ per year.
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 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.
The Lead, Sales Solutions (Technology Integrations) 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.
- 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.
- Act as a trusted advisor to internal and external stakeholders, representing the company at client meetings, industry events, and forums.
- Share market insights, emerging trends, and technical learnings across teams.
- Mentor junior technical staff and contribute to the growth of technical expertise across the commercial organization.
- Support business development initiatives through technical insights and solution design.
- 10+ years in digital media, advertising technology, or related technical architecture roles, with at least 8+ 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.
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.
Sales Solutions Lead - Technology Integrations in Slough employer: Netflix
Contact Detail:
Netflix Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Solutions Lead - Technology Integrations in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Netflix or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by diving deep into Netflix's products and services. Understand their advertising solutions and how they integrate technology. This will help you speak their language and show you're genuinely interested.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of Sales Solutions Lead. Highlight your technical skills and how you've successfully implemented data strategies in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team at Netflix.
We think you need these skills to ace Sales Solutions Lead - Technology Integrations in Slough
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Sales Solutions Lead role. Highlight your experience with data collaboration and clean room integrations, as these are key to what we’re looking for at Netflix.
Showcase Your Technical Skills: Don’t hold back on your technical expertise! We want to see your proficiency in data strategies and any relevant tools you've used. Mention specific technologies like Snowflake or AWS to catch our eye.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your past experiences and how they relate to the role. We appreciate a well-structured application that gets to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Netflix
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially data clean rooms and cloud platforms like Snowflake or AWS. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Strategic Thinking
Prepare to discuss how you’ve translated complex data capabilities into actionable strategies for clients. Think of specific examples where your technical solutions led to measurable business outcomes, and be ready to share those stories.
✨Engage with Cross-Functional Teams
Highlight your experience working with different teams, such as product and engineering. Be prepared to talk about how you’ve collaborated on projects and influenced product roadmaps, as this role requires strong cross-functional collaboration.
✨Be a Problem Solver
During the interview, expect to face scenario-based questions that test your problem-solving skills. Think through how you would approach technical integration challenges and be ready to outline your thought process clearly.
