Senior Product Manager, Incentives

Hello were Augeo we are a global leader in enterprise-level engagement and loyalty platform technology delivering compelling experiences and fostering meaningful connections for employees consumers members and channel partners across many industries and verticals. We serve hundreds of clients including 70 Fortune 500 companies representing millions of end users.

We are thought leaders and disruptors who think differently and creatively built by entrepreneurs operators and innovators. At Augeo were passionate about providing an inclusive workplace that values diversity and our sustainability initiatives. Everyone is welcome - our employees are comfortable bringing their authentic whole selves to work. Be you reach your full potential.

We work hard we play hard and most importantly we care to our core about our teams and each other. We over-communicate around everything especially while we navigate our new hybrid world.

Summary:

Augeos Applied AI team builds THEO the orchestration and intelligence layer behind the reward recognition incentive and advocacy programs our clients run. We are hiring a Senior Product Manager to own the Incentives domain: the THEO capability set that brings intelligence and automation to performance incentive programs enabling organizations to configure programs evaluate participant performance identify earned outcomes and orchestrate rewards and payouts at scale.

Today THEO Reward capabilities power personalized reward search discovery and redemption in client marketplaces with recommendations from an ML model trained on more than four million interactions. Within the next six to twelve months we expect to be in market with both THEO Incentives and THEO Recognition capabilities supporting new and existing clients alongside continued expansion of personalized rewards and offers.

The Applied AI team is organized into four capability pods. (1) Intelligence/ML has a product manager and an AI architect/data scientist. (2) Rewards (3) Recognition and (4) Incentives each have a product manager and an AI architect. You would lead the Incentives pod with the Incentives AI Architect and partner most closely with Intelligence/ML on the models and signals behind incentive decisions.

THEO sits at Augeos core and its capabilities are built for every business unit rather than rebuilt inside each one. An incentive program for a Workplace client runs on the same THEO capability as an incentive program for an Advocacy client. This role works across all of Augeos business units to identify shared requirements and to maintain the boundary between what THEO owns and what each unit builds on top of it.

Key Responsibilities:

• Own the product vision strategy and roadmap for the Incentives domain from problem discovery through shipped measured outcomes. Your primary success metric is incremental engagement per reward dollar: more of the behavior a client is paying for at a lower cost per action
• Alongside our Intelligence and ML team define how AI and ML models select personalize and sequence incentives (rewards points offers) to maximize engagement and program ROI for clients and partners
• Partner with data science and engineering to specify the incentive decisioning engine: the inputs it draws from THEOs user profiles and behavioral signals model evaluation criteria and production quality bars
• Translate incentive economics (budgets redemption rates breakage partner cost structures) into product requirements that balance member value with program sustainability
• Design and prioritize the incentive catalog and configuration experience so clients and partners can launch and manage programs with minimal manual overhead
• Build the experimentation practice for incentives using holdout tests and uplift modeling to measure what a reward actually caused rather than what merely correlated with it. Prove which incentive strategies change behavior and kill the ones that dont
• Evaluate where generative AI and agentic workflows can automate incentive content generation catalog curation or program configuration then ship the highest-leverage ones first
• Turn client partner and internal stakeholder needs into precise prioritized requirements with clear success metrics
• Ensure incentive products meet privacy consent and data governance requirements across enterprise client environments
• Represent the Incentives pod in cross-team planning clearly communicating tradeoffs risks and progress to engineering design and commercial leadership

What Sets You Up For Success:

• 5-8 years of product management experience with meaningful ownership of a product area from strategy through launch and iteration
• Product fundamentals: writing clear requirements prioritizing a roadmap against limited engineering capacity running discovery and defining success metrics before you build
• Experience shipping ML-driven products: you have owned features where a model does the core work such as ranking pricing recommendations or personalization. The team did not have to be called AI-first but you should be used to the faster more experimental build-measure-learn cycle these products run on including frequent experimentation and model retraining
• Fluency in AI/ML technical concepts: you can work directly with data scientists and engineers on model evaluation prompting and system design without being an ML engineer yourself
• Analytical rigor: comfortable defining metrics interrogating data and making prioritization calls from evidence rather than opinion

• Experience shipping a generative AI or LLM-based feature to production from prototype through general availability
• Experience with loyalty rewards incentive or engagement platforms
• Hands-on experience with the methods behind treatment assignment such as uplift modeling contextual bandits or holdout testing and with the personalization and recommendation systems they power
• Familiarity with incentive and reward program economics: points liability breakage redemption modeling or partner cost structures
• Hands-on use of AI-powered development and prototyping tools (e.g. Claude Code) to accelerate product discovery and delivery

Benefits Of Joining Team Augeo:

• We offer Medical Dental and Vision coverage with additional perks through third party vendors offering more virtual and in person care at your fingertips (must be in select locations)
• We offer paid Long-Term disability and Life Insurance
• HSA/FSA plans
• We offer varying voluntary benefits such as critical hospital pet coverage and much more
• Employee benefit education campaigns and wellness opportunities
• 401k retirement matching and financial planning resources
• Education reimbursement
• Several EAP resources
• 13 paid holidays and PTO time
• Rewards incentives and gamification for birthdays Work-averserys professional and personal milestones company involvement and kudos
• Employee referral bonuses
• Employee group opportunities
• Fun casual and flexible working environment that embraces the hybrid workstyle
• Career growth opportunities

Augeo is an equal opportunity employer committed to diversity and inclusion in the workplace.