×
Register Here to Apply for Jobs or Post Jobs. X

Product Manager – ML, Ranking & Personalization Ads

Remote / Online - Candidates ideally in
Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Fetch Rewards
Remote/Work from Home position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 10000 USD Yearly USD 10000.00 YEAR
Job Description & How to Apply Below
Position: Staff Product Manager – ML, Ranking & Personalization [Ads]

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
What to Expect (Job Responsibilities):
  • 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
What is Required (Qualifications):
  • 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
How to Stand Out (Preferred Qualifications):
  • 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

We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.

Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary