AI Product Leader Level 2

Overview

Remote
Depends on Experience
Contract - W2
Contract - 26 week(s)

Skills

Access

Job Details

Job Title: Product Leader – AI/ML Systems (Personalization & Targeting)
Location: Remote (Preference for candidates near Cincinnati, OH)

We are seeking a seasoned Product Leader with a passion for building cutting-edge, AI-powered systems at scale. This role is ideal for individuals with a strong foundation in machine learning applications, especially within personalization, targeting, or relevance domains.

Key Responsibilities:

  • Drive the vision and strategy for large-scale AI/ML-powered personalization, relevance, or targeting systems.

  • Partner closely with Data Science and Machine Learning Engineering teams to turn models into impactful products.

  • Balance competing priorities such as performance, monetization, fairness, and latency.

  • Communicate product vision, roadmap, and tradeoffs clearly to both technical and non-technical stakeholders.

  • Collaborate cross-functionally across engineering, design, marketing, and executive teams to deliver results.

What We’re Looking For:

  • Proven experience in product leadership, ideally within AI/ML-driven platforms.

  • Demonstrated success delivering large-scale systems for relevance, personalization, or targeting.

  • Strong understanding of machine learning principles and lifecycle.

  • Ability to manage complex tradeoffs and align stakeholders with different objectives.

  • Exceptional storytelling, communication, and influencing skills.

  • Background in Ad Tech, Search, or Recommender Systems is a strong plus.

  • Enthusiasm for working in ambiguous spaces with a strong bias for execution.

  • A collaborative mindset with the ability to bring together diverse teams to deliver user-centric outcomes.

Ideal Candidate Qualities:

  • Passionate about building thoughtful, high-impact AI-powered products.

  • Comfortable navigating ambiguity and turning it into opportunity.

  • Thrive in cross-functional and collaborative environments.

#INDREM

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