Demo

Senior Product Manager

BayOne Solutions
Sonoma, CA Full Time
POSTED ON 1/17/2025
AVAILABLE BEFORE 4/12/2025

Job Title : Senior Product Manager

Location : Bay Area (Hybrid)

Type : Long Term Contract

Job Description :

This is a unique opportunity to join a high-visibility team and drive execution of the Client's Media omni-measurement, reporting and insights product capabilities. The product team at Client's Media plays a crucial role in developing innovative ad products and data-driven solutions that empower advertisers to reach millions of shoppers with highly targeted ads while enhancing the shopping experience.

Main responsibilities

  • Partner with engineering and technical design teams to launch products that meet the needs of both advertisers and internal cross-functional teams. Write clear product requirements.
  • Prioritize the product roadmap, managing near-term product delivery while formulating a long-term product strategy to provide the most relevant and innovative measurement to Client’s Advertisers.
  • Analyze industry trends and industry standards, conduct competitive analysis, and identify opportunities in advertising technology and retail media
  • Navigate and solve problems within a complex matrix environment. Collaborate with cross-functional teams to bring products to market and increase adoption
  • Be an expert on the methodologies of measurement suite (Search attribution, Incrementality measurement) and communicate impact of new launches or changes to data / methodology effectively

What we are searching for :

  • Minimum of 5 years of experience in product management, leading ad-supported media experiences within the tech, retail, entertainment, or social media industries.
  • Background in retail, retail media, media platforms, and / or ad tech data in areas of advertising or marketing measurement, analytics, insights, and data science
  • Expert understanding of advertising measurement - standard media metrics, statistical models, attribution, incrementality.
  • Familiarity with machine learning, predictive analytics and optimization is a plus.
  • Analytical and wired to consume large amounts of data and insights.
  • Strong communication, storytelling, and presentation skills.
  • Bachelor's degree in Engineering, Marketing, or a related field.
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