Key skills
AIMLGenAISaaSRisk ManagementProduct ManagementCommunicationCustomer Success
About this role
Role Overview
- Own the Intelligence Catalog
- Define and evolve the Intelligence Catalog’s taxonomy, metadata structures, detection labels, enrichment signals, and classification schemas.
- Manage how intelligence is created, governed, evaluated, refreshed, and retired.
- Drive noise-reduction methodologies and precision/recall improvements across all catalog intelligence.
- Partner with Applied ML to define evaluation frameworks, labeling strategies, annotation workflows, and model governance standards.
- Ensure catalog intelligence is consistently delivered across Smarsh’s product suite.
- Develop a scalable intake process for new intelligence requests, use cases, and customer-driven requirements.
- Build and optimize a scalable delivery process ensuring intelligence availability, versioning, and rollout across product teams.
- Ensure required services (classification, enrichment, detection, scoring, metadata exposure, etc.) exist and are aligned with catalog needs — collaborating with platform and engineering owners.
- Drive creation of a unified intelligence experience across Smarsh’s product portfolio.
- Lead customer partnership programs to co-develop new intelligence patterns, detection strategies, and GenAI review experiences.
- Gather deep feedback from lighthouse customers to drive roadmap priorities, quality improvements, and new use cases.
- Work closely with Customer Success and Product teams to understand performance gaps and opportunities for precision/recall improvements.
- Define and own catalog KPIs including precision/recall, noise reduction, signal quality, and MTTR for new intelligence delivery.
- Champion responsible AI and model governance practices for catalog-supported intelligence.
- Establish processes for versioning, auditability, explainability, and risk management of catalog intelligence.
- Serve as the intelligence product expert for internal teams — Product, Engineering, Applied ML, Legal, Compliance, InfoSec, and Customer Success.
- Drive alignment on firm-wide intelligence priorities, ensuring the right models and signals are being developed and iterated.
- Partner with product teams to ensure catalog intelligence is integrated effectively into customer-facing workflows.
Requirements
- 5+ years of Product Management experience, including ownership of a data, AI/ML, intelligence, or platform product.
- Strong understanding of AI/ML fundamentals, including model evaluation, labeling, annotation strategies, and how to apply precision/recall tradeoffs.
- Experience working with Data Science or Applied ML teams as core partners.
- Excellent communication skills — able to articulate complex technical concepts to cross-functional teams.
- Proven ability to work with internal product teams to drive adoption of shared capabilities.
- Highly organized, detail-oriented, and able to manage multiple streams of work simultaneously.
- Strong Pluses
- Experience in Compliance, Surveillance, Legal, InfoSec, or Financial Crime domains.
- Experience with model governance or model risk management frameworks.
- Experience in enterprise SaaS environments, especially in regulated industries.
- Experience driving noise reduction or precision/recall optimization initiatives.Data Science or Quantitative background
Benefits
- Bonus
- Private Health Insurance
- Enhanced Assistance Program
- Employee Dental Plan
- Group Life Assurance (GLA)
- Wellness Reimbursement
- Pension employer match
- Internet Allowance
- Stock options