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What you'll do...
You'll sweep us off our feet if...
You're comfortable influencing others, managing stakeholders, getting buy-in from leadership, and communicating clearly
You have strong experience with building ML/AI based solutions and can apply these techniques to implement new Sponsored Ad products
You have a test and learn mentality and an agile way of working to improve your team's products
You have industry expertise in conducting AB testing/experimentations at scale
You're excited about solving complex modern-day advertising challenges
You're customer-centric in spirit and in execution
You'll Make An Impact By
Leading the design and build of products backed by large-scale machine-learning models to improve ad prediction and conversions.
Serving as a thought leader and collaborating with data scientists and ML engineers to build solutions to improve the information retrieval techniques and predict user interests.
Driving better yield for the Sponsored Products advertising platform by regular model optimizations and multiple experimentations.
Working closely with data science, engineering, product analytics, experimentation platform teams, and other XFN partners to design and implement new ad products.
Driving product lifecycle from requirement definitions, research, metrics analysis, technical specifications, development, testing, KPIs and other launch efforts
Identifying new opportunities by conducting industry and competitive analysis to understand the emerging trends in the advertising industry.
Defining vision and strategies for your product family, using domain expertise, internal and external best practices, identifying market opportunities, building business cases, and approving objectives
Building collaborative relationships with key partners by driving priorities aligned to business goals, communicating and prioritizing product roadmaps, and gaining buy-in from executive leadership
Qualifications
Bachelor's degree or higher
7 to 9 years in Product Management
AdTech / MarTech experience in Sponsored Product / Sponsored Search / Paid search experience
Strong industry experience in Machine Learning is required
Digital advertising industry experience is required
Experience with information retrieval or ads predictions and recommendations is a strong plus.
For information about PTO, see
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.For information about benefits and eligibility, see
Hoboken, New Jersey US-10279/Los Angeles, California US-10988:The annual salary range for this position is $132,000.00-$264,000.00 San Bruno, California US-08848:The annual salary range for this position is $143,000.00-$286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: - Stock Minimum Qualifications...These jobs might be a good fit