3 часа назад
Senior Product Manager, Incentives (Applied AI)
125 000 - 152 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager, Incentives (Applied AI): Own the THEO Incentives domain for configuring incentive programs, evaluating participant performance, and orchestrating rewards and payouts at scale with an accent on ML-driven decisioning, personalization, and incentive economics. Focus on designing experimentation and uplift modeling, translating behavioral signals into product requirements, and shipping generative AI and agentic workflows that improve engagement and program ROI.
Location: Hybrid in St. Paul, Minnesota, United States
Salary: $125,000–$152,000 per year
Company
provides enterprise engagement and loyalty platform technology for employees, consumers, members, and channel partners, serving hundreds of clients including Fortune 500 companies.
What you will do
- Own the product vision, strategy, roadmap, discovery, launch, and measurement for the THEO Incentives domain.
- Define how AI and ML models select, personalize, and sequence rewards, points, and offers.
- Partner with data science and engineering on the incentive decisioning engine, behavioral signals, model evaluation, and production quality.
- Translate incentive economics, budgets, redemption rates, breakage, and partner costs into sustainable product requirements.
- Design incentive catalogs and configuration experiences that reduce manual work for clients and partners.
- Build experimentation practices using holdout tests and uplift modeling, while evaluating generative AI and agentic workflows for automation.
Requirements
- 5–8 years of product management experience with ownership of a product area from strategy through launch and iteration.
- Strong product fundamentals, including requirements writing, roadmap prioritization, discovery, and success metrics.
- Experience shipping ML-driven products such as ranking, pricing, recommendations, or personalization.
- Fluency in AI/ML concepts, including model evaluation, prompting, and system design.
- Analytical rigor with the ability to define metrics, interrogate data, and make evidence-based decisions.
Nice to have
- Experience shipping generative AI or LLM-based features to production.
- Experience with loyalty, rewards, incentive, or engagement platforms.
- Experience with uplift modeling, contextual bandits, holdout testing, personalization, or recommendation systems.
- Knowledge of incentive economics such as points liability, breakage, redemption modeling, or partner cost structures.
- Experience with AI-powered development and prototyping tools such as Claude Code.
Culture & Benefits
- Flexible hybrid work environment.
- Medical, dental, vision, HSA/FSA, life insurance, and long-term disability coverage.
- 401(k) matching, financial planning resources, and education reimbursement.
- Paid holidays, PTO, employee assistance resources, and wellness programs.
- Career growth opportunities, employee groups, referral bonuses, and recognition programs.
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