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Product Manager – ML, Ranking & Personalization Ads
Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2025-12-21
Coos Bay, Coos County, Oregon, 97458, USA
Listing for:
Fetch Rewards
Remote/Work from Home
position Listed on 2025-12-21
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Employer Industry: Retail Media and Advertising Technology
Why consider this job opportunity:- Equity in the employer, allowing employees to benefit from the company's growth
- 401k match of dollar-for-dollar up to 4%
- Comprehensive medical, dental, and vision plans available for employees and their pets
- $10,000 annual education reimbursement for continuing education
- Flexible work environment with the option to work remotely from anywhere in the U.S.
- Generous paid time off policy, including 20 weeks of paid parental leave for primary caregivers
- Own the vision, strategy, and roadmap for the employer’s ML-driven ads ranking and personalization systems
- Define the optimization framework to balance the employer’s goals, advertiser objectives, and consumer experience
- Design the architecture and integration between the ad server and ML systems
- Lead the development of ranking models, features, and infrastructure for effective ad delivery
- Establish experimentation and evaluation frameworks to drive measurable improvement in relevance and advertiser ROI
- 8+ years of product management experience in ML-powered ranking, personalization, recommendation, ads, or search systems
- Deep understanding of ML ranking, feature engineering, real-time scoring, and user behavior modeling
- Proven ability to set strategy and prioritize roadmaps in fast-paced environments
- Strong technical fluency to collaborate with Engineering, ML, Data Science, and Analytics teams
- Experience balancing competing objectives in a two-sided marketplace
- Experience in ads relevance, auction mechanics, targeting, or marketplace optimization
- Demonstrated strength in driving measurable outcomes in ambiguous environments
#Retail Media #Product Management #Machine Learning #Remote Work #Diversity And Inclusion
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