Product Manager

Summary:
Support the Helix OS platform product team with day-to-day execution across the program&rsquos six platform pillars (data, feature engineering, model platform, decision engine, agentic response system, and foundation models) and three risk towers (fraud, credit, compliance). This is a transactional, execution-focused role that will support the Helix pillar PMs and reporting to the Helix PM leader.

Responsibilities:

• Support running standups, sprint ceremonies, and weekly syncs for assigned pillars keep Jira boards current with priorities, blockers, and acceptance criteria.
• Draft and iterate on PRDs, user stories, and migration specs under direction from pillar leads and senior PMs.
• Track cross-team dependencies and blockers across platform engineering, risk strategy, data science, and compliance.
• Manage the operational mechanics of use case migration: onboarding checklists, shadow testing coordination, cutover readiness tracking, and go-live gate prep.
• Own intake from risk strategy teams (fraud, credit, compliance) — gather user requests, document them and support pillar PMs to arrive at the right backlog
• Prepare weekly status updates, steerco materials, weekly email reports, and decision logs so leadership has a clean line of sight into program health.
• Keep Confluence documentation current: platform capabilities, onboarding guides, integration patterns, and internal FAQs.

• 3+ years of product management experience in a technical environment. Platform, infrastructure, or data product experience preferred.
• Comfortable working with engineering teams on technical products. Can read and interpret API documentation, data schemas, and system architecture diagrams.
• Strong execution skills: backlog management, sprint coordination, stakeholder communication, and documentation.
• Experience with Jira, Confluence, and agile delivery processes.
• Familiarity with financial services, risk, fraud, or compliance domains is a plus but not required.
• Familiarity with ML/AI platforms, feature stores, decisioning engines, or data pipelines is a plus but not required.
• Strong written and verbal communication. Can synthesize complex information into clear status updates and stakeholder-ready materials.

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