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Senior Product Manager - Ad-Measurement Analytics

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: BayOne Solutions
Full Time position
Listed on 2025-12-21
Job specializations:
  • IT/Tech
    Data Analyst, Digital Marketing
Salary/Wage Range or Industry Benchmark: 70 - 75 USD Hourly USD 70.00 75.00 HOUR
Job Description & How to Apply Below

Senior Product Manager - Ad-Measurement Analytics

1 day ago Be among the first 25 applicants

This range is provided by Bay One Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $75.00/hr

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.

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.
Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting and Retail

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Position Requirements
10+ Years work experience
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