Senior Product Manager, AI-Powered Marketing Analytics

Fractal is a strategic AI partner to Fortune 500 companies, aiming to empower human decisions in the enterprise. They are seeking an experienced Product Manager to own the roadmap and delivery of their Stats Engine platform, driving AI-powered capabilities that enhance experimentation design and execution.

Responsibilities:

• Own and continuously refine the Stats Engine product roadmap across Phases 2–4, balancing user impact, technical feasibility, and alignment with overall experimentation goals
• Maintain a prioritized backlog with clear rationale for sequencing decisions and facilitate quarterly roadmap reviews with AiDP and Marketing stakeholders to ensure continuous alignment
• Evolve Stats Engine from a program management and statistics platform into a decision intelligence system — incorporating AI-powered features including automated reporting, hypothesis generation, and natural language analysis queries in partnership with the Data Science and engineering teams
• Author detailed PRDs with user stories, acceptance criteria, scope boundaries, and success metrics for every feature
• Partner with the AiDP engineering team through sprint planning, backlog grooming, and sprint reviews to ensure features ship on schedule and meet quality standards
• Own UAT cycles with real users prior to each release, gathering structured feedback and translating it into actionable improvements
• Define and track adoption metrics post-launch to validate that shipped features deliver intended value
• Serve as the primary bridge between Marketing's Optimization team (end users), the AiDP organization (platform engineering), and Fractal's Data Science and development resources
• Ensure that all parties maintain a shared understanding of the product vision, current state, and upcoming priorities at all times
• Run regular product demos, feedback sessions, and stakeholder syncs
• Surface risks, dependencies, and scope changes proactively and ensure decision-makers have the information they need to resolve blockers quickly

Requirements:

• Proven product management experience owning the full lifecycle of a data or analytics platform — from discovery and roadmap through delivery, adoption, and iteration
• Strong ability to write clear, detailed PRDs, user stories, and acceptance criteria that engineering teams can execute against without ambiguity
• Experience working in an Agile/sprint environment, partnering closely with engineering teams to plan, scope, and ship features on a regular cadence
• Comfortable navigating a cross-functional stakeholder environment — able to translate business needs from marketers and data scientists into technical requirements for engineers and communicate product direction back to leadership
• Strong analytical instincts — able to define success metrics, interpret usage data, and use insights to drive prioritization decisions
• Experience with data products, analytics tools, or experimentation platforms — familiar with the domain language of A/B testing, statistical analysis, and digital marketing measurement
• Excellent communication and presentation skills with the ability to run demos, facilitate feedback sessions, and align diverse stakeholders on product direction
• Highly organized and detail-oriented, with the ability to manage a complex roadmap across multiple workstreams simultaneously
• Bachelor's degree in Computer Science, Information Systems, Business, Statistics, or a related quantitative field
• Minimum 8–12 years of relevant product management experience, with at least 2 years owning a data, analytics, or internal tooling product
• Experience with AI/ML-powered product features, GenAI integrations, or agentic workflows
• Familiarity with experimentation platforms such as Adobe Target or Optimizely
• Experience as a PM embedded within a data science or analytics team
• Prior experience supporting a large enterprise client in an agency or consulting context
• Master's degree is desirable