Senior Product Manager-Ad/Media Retail + Measurement Experience

Job Description:
This is a unique opportunity to join a high-visibility team and drive execution of the Client s Media Collective s omni-measurement, reporting, and insights product capabilities. The product team at Client s Media Collective 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. The ideal candidate will be based in Pleasanton, California; however, we will consider exceptional remote candidates.

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, and 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.