Staff Product Manager, Ads Delivery & ML (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Product Manager, Ads Delivery & ML in United States.

We are seeking a highly skilled Product Manager to lead the development and optimization of back-end ad delivery systems. This role offers the opportunity to influence products that reach millions of users, translating complex technical challenges into measurable business outcomes. You will collaborate with cross-functional teams including engineering, data science, design, and analytics to deliver innovative ad experiences. The role demands a balance of strategic thinking, operational execution, and a deep understanding of machine learning and ad marketplaces. You will help shape the roadmap, define success metrics, and ensure a seamless, high-quality experience for both users and advertisers. This position offers a dynamic, collaborative environment with visible impact on the product and user experience.

Accountabilities:

·         Own key components of back-end ad delivery systems such as retrieval, ranking, pacing/budgeting, auction/bidding, and quality/diversity guardrails.

·         Translate complex problem statements into clear business and technical requirements, creating and maintaining BRDs, PRDs, and epics.

·         Develop, prioritize, and manage a roadmap and requirements backlog, ensuring alignment with cross-functional teams and measurable outcomes.

·         Partner with engineering, ML, data analytics, design, and research teams to deliver high-quality features on time.

·         Collaborate with PMM, sales, and policy teams to ensure successful launches, GTM alignment, and feedback integration.

·         Define success metrics, track adoption, analyze outcomes, and iterate on features to continuously improve the ad experience.

·         8+ years of experience in Product Management, Technical Program Management, Product Marketing, Operations, or related roles.

·         Strong ability to define and execute on back-end product strategies in ambiguous environments.

·         Experience collaborating with engineering, data science, analytics, and cross-functional stakeholders.

·         Deep understanding of business metrics and trade-offs in online marketplaces.

·         Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or equivalent experience.

·         Preferred but not required: experience with ad marketplaces, ad formats, ad delivery systems, and marketplace experimentation.

·         Exceptional analytical, strategic thinking, and communication skills, with strong user empathy and attention to detail.

·         Competitive salary range: $163,064 — $335,720 USD.

·         Equity opportunities.

·         Flexible work model with minimal in-office requirements (1-2 times/quarter).

·         Comprehensive healthcare and wellness benefits.

·         Collaborative and inclusive work environment that values diversity.

·         Opportunities for professional growth and impactful contributions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

#LI-CL1