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Senior Product Manager

Job in Pleasanton, Alameda County, California, 94566, USA
Listing for: BayOne Solutions
Full Time position
Listed on 2026-01-01
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
This role is sponsored 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

Senior Recruitment Executive at Bayone Solutions

Product Manager Ads Measurement

Pleasanton CA – Hybrid

Long-Term Contract

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.

• Prioritise 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 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 the 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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Position Requirements
10+ Years work experience
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