AI/ML Lead Product Manager

Job Title: AI/ML Lead Product Manager

Location: Fully Remote

Duration: Contract to Hire

Top Skills:

• Experience as a product leadership, ideally in AI/ML-driven domains.
• Proven track record of building large-scale relevance, personalization, or targeting systems.
• Deep understanding of machine learning principles and experience working closely with data science and ML engineering teams.
• Demonstrated ability to balance competing objectives (e.g., latency vs. monetization vs. fairness).
• Strong communication and storytelling skills with the ability to influence stakeholders across technical and non-technical teams.
• Experience in Ad Tech, Search, or Recommender Systems is highly desirable.

Job Description:

• A visionary yet execution-focused leader at the intersection of product, AI, and large-scale relevance systems.
• This individual combines strong product intuition deeply understanding user needs, business goals, and market dynamics with a solid foundation in machine learning and AI technologies.
• They are skilled at driving end-to-end execution, translating vision into strategy, and strategy into impactful product roadmaps.
• With hands-on knowledge of Ad Tech, Search, or Recommendations, they bring valuable experience in personalization, ranking, targeting, and relevance key to building intelligent, data-driven user experiences. They understand the trade-offs between performance, latency, fairness, and monetization, and can partner cross-functionally to align algorithms with product strategy.
• They re not just guiding the "what" and the "why," but also collaborating on the "how" ensuring that solutions are technically sound, scalable, and aligned with long-term goals.
• Their hybrid strength in product thinking and applied ML enables them to drive measurable outcomes while pushing the frontier of user and business value.

Key Responsibilities:

• Define and lead the product vision, strategy, and roadmap at the intersection of ML and user experience.
• Drive cross-functional collaboration between product, engineering, data science, and design to deliver intelligent and scalable systems.
• Partner closely with AI/ML teams to ensure product strategies align with algorithmic capabilities and ethical considerations (fairness, performance, latency, and monetization).
• Guide the "what" and "why" of product direction while deeply engaging in the "how" ensuring technical feasibility and long-term scalability.
• Own the end-to-end product lifecycle, from customer discovery and market analysis to execution and iteration.
• Translate complex user and business needs into elegant, data-driven solutions.

Must Have:

• Are passionate about creating AI-powered products that are as thoughtful as they are impactful.
• See ambiguity as an opportunity and execution as a differentiator.
• Thrive in collaborative, cross-functional environments.
• Enjoy blending technical depth with business intuition to deliver meaningful outcomes.