Senior Product Manager (AI/ML)

TL;DR

Senior Product Manager (AI/ML): Building and evolving an Intelligence Catalog providing categorization, enrichment, detection signals, and AI/ML insights across all products with an accent on taxonomy, metadata structures, and precision/recall performance. Focus on defining evaluation frameworks, labeling strategies, model governance, and scaling intelligence delivery across the business.

Location: Based in the US

Salary: $166,500–$200,000 a year

Company

hirify.global empowers customers in regulated industries to manage risk and unleash intelligence in their digital communications.

What you will do

• Define and evolve the Intelligence Catalog’s taxonomy, metadata, detection labels, enrichment signals, and classification schemas.
• Manage how intelligence is created, governed, evaluated, refreshed, and retired, driving noise-reduction and precision/recall improvements.
• Partner with Applied ML to define evaluation frameworks, labeling strategies, annotation workflows, and model governance standards.
• Develop scalable intake and delivery processes for new intelligence requests, ensuring intelligence availability and rollout across product teams.
• Lead customer partnership programs and gather deep feedback to drive roadmap priorities and quality improvements.
• Serve as the intelligence product expert for internal teams, driving alignment on firm-wide intelligence priorities.

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, and annotation strategies.
• Experience working with Data Science or Applied ML teams as core partners.
• Excellent communication skills 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.

Nice to have

• 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.

Culture & Benefits

• “Take-what-you-need” time off policy as well as flexible work arrangements.
• 401K Match of 4% (fully vested on day one).
• Comprehensive healthcare insurance including medical, dental, vision, and a flexible spending account.
• Sabbatical program for employees after six years of service.
• Employee-recognition program for peer nominations.
• Global organization that values diversity, innovation with purpose, humility, and humor.