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Product Manager; Ads Measurement

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: BayOne Solutions
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Product Manager (Ads Measurement)

NOTE:
Need hands-on Experience with Walmart Connect or Amazon Ads or Similar tools.

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.
  • 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.
  • Experience on Walmart connect or Amazon ad measurement side.

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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