Smarsh

Senior Product Manager – Intelligence Catalog

Smarsh

full-time

Posted on:

Location Type: Hybrid

Location: Atlanta • United States

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Salary

💰 $166,500 - $200,000 per year

Job Level

Senior

About the role

  • 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.

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
  • Healthcare insurance - We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
  • Personal time off - A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements
  • 401K Match - Smarsh provides a 4% 401K match for which employees are fully vested on day one.
  • Sabbatical – The Smarsh sabbatical program provides a time to recharge, to study or simply a time to do something you are passionate about away from the workplace. Employees are eligible after six years of service.
  • Recognition - We’re big on kudos for a job well done. Our employee-recognition program enables co-workers to nominate their peers who best embody our core values for recognition
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Product ManagementAI/ML fundamentalsmodel evaluationlabeling strategiesannotation workflowsprecision/recall optimizationdata governancenoise reduction methodologiesversioning processesrisk management
Soft Skills
communication skillsorganizational skillsdetail-orientedcross-functional collaborationcustomer partnershipfeedback gatheringroadmap prioritizationquality improvementadoption drivingmulti-tasking