AI Product Leader Level 2

Overview

Remote
On Site
$64 - $69 hourly
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Temp

Skills

Algorithms
Product Strategy
Roadmaps
User Experience
Collaboration
Product Engineering
Scalability
Market Analysis
Leadership
Data Science
Machine Learning (ML)
Monetization
Communication
Artificial Intelligence
Messaging

Job Details

RESPONSIBILITIES:
Kforce has a client in Cincinnati, OH that is seeking an AI Product Leader Level 2.

Job Description
This person will be a visionary yet execution-focused leader at the intersection of product, AI, and large-scale relevance systems. The AI Product Leader is 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.

The AI Product Leader will 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.

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

REQUIREMENTS:
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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