Digital Product Manager – Producer Compensation Engine
AllstateAbout the role
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Digital Product Manager (Lead Consultant) – Producer Compensation Engine
About the team
The Producer Compensation team sits at the heart of how Allstate enables and rewards its sales force. This group builds and manages a homegrown digital platform that calculates compensation, tracks performance, and delivers insights for insurance producers (agents and employee sales teams).
The team operates within a broader ecosystem of interconnected products and partners closely with Finance and Distribution business stakeholders to ensure accurate, compliant, and scalable compensation outcomes.
About the role
We’re looking for a Digital Product Manager (DPM) to own and evolve the Producer Incentive Compensation Engine, focused on bonus and incentive pay calculations.
This is a highly visible role where you will act as the “CEO of your product”, owning strategy, discovery, roadmap, and delivery while balancing business priorities, technical capabilities, and compliance needs.
You will drive both big-picture product vision and day-to-day execution, enabling accurate and transparent compensation for thousands of producers across the enterprise.
This is an ideal opportunity for a product manager who thrives in complex, high-impact environments and enjoys turning intricate business logic into scalable digital products, while driving both strategic direction and hands-on execution.
What You’ll Own
A critical, enterprise compensation engine responsible for:
Monthly and annual Incentive programs for agents and employee producers
Non-cash awards and performance-based payouts
A product that is:
Business-critical (financial impact, SOX-compliant)
Built on modern architecture (APIs, microservices, Kafka, Java stack)
Actively evolving with automation and AI-driven capabilities
What You’ll Do
Define and drive product vision, strategy, and roadmap
Lead product discovery, problem definition, and outcome alignment with stakeholders
Translate complex compensation rules into clear product features and user stories
Partner with Engineering to deliver iterative, high-quality solutions
Own product health, accuracy, and adoption metrics
Navigate trade-offs and prioritization in a highly regulated, time-sensitive domain
Champion Human‑Centered Design and modern digital experience patterns
Collaborate across teams to manage dependencies and deliver within a broader ecosystem
What You Bring (Required)
5+ years of digital product management experience
Experience as a Digital Product Manager owning end-to-end product delivery
Strong ability to bridge strategy and execution (big picture + detailed delivery)
Proven experience in:
Product discovery and roadmap development
Agile delivery, backlog management, and story writing
agile frameworks (XP, Scrum) and product‑ownership best practices
Understanding of product–platform–API integration patterns
Root‑cause analysis and data‑driven decision‑making capability
Stakeholder facilitation and cross-functional alignment
Technical fluency (APIs, data flows, system interactions) with ability to partner effectively with engineering
Strong analytical and problem-solving skills, with ability to define and measure outcomes
What sets you apart (preferred)
Experience with financial systems, compensation platforms, or rule-based engines
Experience delivering on the Outcome‑Based Delivery (OBD) model
API‑based integration engine experience
Background in complex, regulated environments (e.g., SOX, finance, insurance)
Exposure to modern architecture (microservices, event-driven systems)
Interest or experience in automation, AI, or data-driven product optimization
Ability to quickly learn and navigate complex domains with multiple dependencie
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