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 report 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 clear line of sight into program health.
- Keep Confluence documentation current: platform capabilities, onboarding guides, integration patterns, and internal FAQs.
Requirements:
- 6 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.
Required Skills:
- Backlog management, sprint coordination, stakeholder communication, and documentation.
- Experience with Jira, Confluence, and agile delivery processes.
- Strong written and verbal communication skills.
- Can synthesize complex information into clear status updates and stakeholder-ready materials.
Preferred Skills:
- 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.
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