ADP is hiring a Lead Product Manager, Personalization Platform - Are you passionate about turning behavioral and profile signals into personalized, next-generation user experiences?
- Do you enjoy working across product management, data science, ML/AI, and engineering?
- Are you excited by identifying user intents and delivering the right action, at the right moment, in the right experience?
- Are you energized by taking ideas from concept and validation through launch?
If so, this may be the role for you.
In this role, you will own the ADP Personalization Platform-a scalable platform that enables personalized experiences for ADP customers. By leveraging available signals to identify client and user-level intents, this platform helps ADP proactively resolve issues and equip agents with richer contextual insights-driving outcomes such as reduced call volumes and tailored next actions.
The platform is built around three core components-Context, Prediction, and Activation. You will lead
workstreams in all 3 areas to bring the personalization vision to life.
- Deliver the roadmap for the Personalization Platform: Context (connecting profile and behavior data for Employees, Practitioners, and Clients), Prediction (anticipating what users are likely to do next), and Activation (delivering the right action at the right moment in the right experience)
- Partner with data science, ML/AI, engineering, product management, and business operations teams to bring new personalization capabilities to market
- Support product validation through use case validation, performance analysis, model evaluation, and customer feedback
- Define delivery models, governance, and operational processes for the Personalization Engine
- Evaluate and prioritize new personalization use cases across ADP's Employee, Practitioner, and Client experiences
- Establish scalable production, quality assurance, and product management processes for Personalization Engine
- Contribute to the roadmap for ADP's growing portfolio of personalization and intelligence offerings
- Communicate effectively with internal and external stakeholders to align and defend ideas while answering critical questions.
- Create executive-level communications and documentation, presenting complex ideas clearly and persuasively
No two days are the same.One day you may be evaluating a new intent-prediction model that reduces call volumes. Another day, you may be working with data scientists and engineers to operationalize a new signal source or prediction pathway. You will help bridge strategy and execution-turning data and predictions into experiences that customers can adopt and value.
This role provides broad exposure across ADP's personalization efforts while also offering the opportunity to build and launch innovative prediction capabilities from the ground up.
TO SUCCEED IN THIS ROLE:- Bachelor's degree required; advanced degree preferred
- 5+ years of experience in product management building, launching, and operationalizing personalization, prediction, or recommendation products
- Solid understanding of personalization and recommendation systems, including how signals translate into user-level intents and actions
- Familiarity with ML/AI platform capabilities (e.g., feature engineering, model training and evaluation, model deployment, experimentation/A-B testing), including how ML models power personalized experiences
- Familiarity with data product concepts (e.g., data sourcing, ingestion, cleaning, normalization, entity resolution, latency, accuracy, data lineage, and data integration workflows) across profile and behavioral data
- Exposure to large-scale data sets on modern data and cloud platforms such as Databricks, and to ML frameworks and real-time streaming technologies
- Direct engagement with end users and stakeholders (e.g., interviewing clients, practitioners, agents, and service teams to validate intents and use cases)
- Go-to-market awareness for data and AI products (positioning, differentiation, enablement)
- Demonstrated ability to deliver results (e.g., fast, consistent, incremental)
Like what you see?
Apply now!
Learn more about ADP at https://tech.adp.com/careers/
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