Product Manager, Incentives (AI)

Location: St Paul, MN, USA; hybrid remote

Salary: $125,000–$152,000 annually

Company

hirify.global develops enterprise engagement and loyalty platform technology for employees, consumers, members, and channel partners, serving hundreds of clients including more than 70 Fortune 500 companies.

What you will do

• Own the vision, strategy, roadmap, discovery, launch, and measurement of THEO's Incentives domain.
• Define with Intelligence and ML how models select, personalize, and sequence rewards, points, and offers to improve engagement and program ROI.
• Specify the incentive decisioning engine with data science and engineering, including inputs, behavioral signals, model evaluation criteria, and production quality standards.
• Translate budgets, redemption rates, breakage, and partner cost structures into sustainable product requirements.
• Design and prioritize incentive catalogs and configuration experiences that reduce manual client and partner work.
• Build experimentation practices, evaluate generative AI and agentic workflows, and communicate tradeoffs and progress across engineering, design, commercial leadership, and hirify.global business units.

Requirements

• 2–4 years of product management experience, including owning features from definition through launch and iteration.
• Ability to write clear requirements, prioritize backlogs against limited engineering capacity, run discovery, and define success metrics before development.
• Experience with data- or ML-driven products such as ranking, recommendations, personalization, or pricing.
• Working knowledge of AI/ML concepts and ability to collaborate with data scientists and engineers on model evaluation, prompting, and system design without being an ML engineer.
• Analytical rigor, including defining metrics, analyzing data, and making evidence-based prioritization decisions.
• Ability to ensure incentive products meet privacy, consent, and data governance requirements in enterprise client environments.

Nice to have

• Production experience with a generative AI or LLM-based feature.
• Experience with loyalty, rewards, incentive, or engagement platforms.
• Exposure to A/B testing, holdout testing, uplift modeling, or recommendation systems.
• Familiarity with points liability, breakage, redemption modeling, or other incentive and reward program economics.
• Hands-on use of AI-powered development and prototyping tools such as Claude Code.

Culture & Benefits

• Hybrid, flexible, casual working environment with an emphasis on inclusion, diversity, sustainability, and employee wellbeing.
• Medical, dental, and vision coverage, plus select-location virtual and in-person care options, HSA/FSA plans, life insurance, long-term disability, and voluntary benefits.
• 401(k) matching, financial planning resources, education reimbursement, EAP resources, and career growth opportunities.
• 13 paid holidays, PTO, wellness opportunities, employee groups, referral bonuses, and milestone rewards and incentives.