Related skills
compliance saas data science genai ai/ml📋 Description
- Own and evolve the Intelligence Catalog taxonomy, metadata, and signals.
- Govern the lifecycle of catalog intelligence (creation, evaluation, refresh, retirement).
- Drive noise reduction and precision/recall improvements.
- Partner with Applied ML on evaluation frameworks, labeling workflows, and model governance.
- Ensure catalog intelligence is delivered consistently across products.
- Lead cross-functional collaboration to align priorities across Product, Engineering, CS and Compliance.
🎯 Requirements
- 5+ years in Product Management, including data/AI/ML or platform product ownership.
- Strong AI/ML fundamentals: evaluation, labeling, annotation strategies, precision/recall.
- Experience partnering with Data Science or Applied ML teams.
- Excellent communication to translate complex concepts to cross-functional teams.
- Proven ability to drive adoption of shared capabilities across product teams.
- Highly organized and able to manage multiple streams of work.
🎁 Benefits
- Bonus
- Private Health Insurance
- Enhanced Assistance Program
- Employee Dental Plan
- Group Life Assurance (GLA)
- Pension employer match
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