Product Lead, ML & Audience Intelligence

NBMBAA; Mountain View (CA); On-site; USD 170,000 - 190,000; Full time

Job summary

Samsung Ads in Mountain View is seeking a Product Manager, Machine Learning Initiatives, to lead the development and monetization of new ML, data, and performance advertising solutions across Smart TV, mobile, and desktop ecosystems.

You will partner with global engineering, design, product marketing, and sales teams to identify opportunities, own the product roadmap, deliver end-to-end features, and measure impact with clear KPIs.

Qualifications

• Eight or more years of experience in product management or technical product management, with at least three years in Digital Advertising/AdTech.
• Bachelor's degree required; Masters preferred.
• Track record of end-to-end product delivery and demonstrated impact.
• Experience applying machine learning in product development.
• Experience owning product and roadmap strategy.
• Experience in Agile product development.
• Understanding of DSPs and publishers in performance advertising.
• Experience with SQL and data processing / data warehouses is a plus.
• Excellent verbal and written communication skills.

Responsibilities

• Lead the buildout, launch, and adoption of new Audience Intelligence, ML, and performance advertising solutions.
• Work cross-functionally with global engineering, design, product marketing, and sales teams.
• Support the vision and strategy for the overall products within the Product Area.
• Communicate product strategy, plans, and progress to stakeholders.
• Stay on top of trends in the advertising industry.
• Define metrics and KPIs to measure success of products.

Skills

Product management

Machine learning

Agile development

SQL

Data analytics

Education

Bachelor's degree

Masters preferred

Tools

SQL databases

Job description

Samsung Ads in Mountain View is seeking a Product Manager, Machine Learning Initiatives, to lead the development and monetization of new ML, data, and performance advertising solutions across Smart TV, mobile, and desktop ecosystems.

You will partner with global engineering, design, product marketing, and sales teams to identify opportunities, own the product roadmap, deliver end-to-end features, and measure impact with clear KPIs.