Senior Product Manager, Machine Learning Initiatives (Samsung Ads)

Key Skills

3D data processing, Data Warehousing, Effective communication skills, KPIs, Leadership Skill, Machine learning techniques, Product Management, SQL, Writing

Job Description

Responsibilities

• Lead the buildout, launch, and adoption of new Audience Intelligence, ML, and performance advertising solutions while concurrently launching enhancements/improvements to existing features.

• Work cross-functionally with global engineering, design, product marketing, and sales and collaboratively with other product teams to gather requirements and identify opportunities for improved revenue and user experience.

• 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 you will use to measure the success of your products.

Skills and Qualifications

Experience

• Eight or more years of experience. This can include Product Management/Technical Product Management with at least three of these years in Digital Advertising/AdTech

• Bachelors Degree Required, Masters Preferred

• Track record of end-to-end product delivery and demonstrate the impact of the products you have shipped

• Experience applying machine learning in product development

• Experience owning product and roadmap strategy

• Experience in Agile product development

• Understanding existing and competitive performance advertising solutions (DSPs, publishers, etc.)

• Comfortable dealing with data. Experience with SQL and data processing/data warehouses a plus

• Comfortable balancing concurrent projects and managing tradeoffs of a product

• Understanding and experience building consumer-facing AdTech products is a plus.

• Bachelor’s Degree Required, Masters Preferred

• Excellent verbal and written communication skills

CALIFORNIA ONLY

Compensation for this role is expected to be between $170,000 and $190,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

LI-JT1

Hybrid

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