About the Role
As a Product Manager, AI & Threat Analytics, you will serve as the product execution partner for AI engineers, ML practitioners, and threat researchers. This role is embedded directly within the AI & Threat Analytics engineering organization and focuses on turning models, data pipelines, graph analytics, and applied AI interfaces into well-defined, shippable product capabilities. You will work hands-on with engineering leadership to prioritize initiatives, define requirements, coordinate cross-product integration, and ensure AI-driven features deliver measurable security outcomes. This is not a research or marketing PM role, it is an execution-focused position that bridges advanced AI systems and production security products.Responsibilities
- Support planning and delivery of releases aligned with the AI & Threat Analytics roadmap
- Translate AI models, graph analytics, and data pipelines into clear product requirements and user stories
- Define success metrics, acceptance criteria, and iteration plans for AI-driven security features
- Coordinate AI integrations across Keeper product teams and platform services
- Act as the primary AI product point of contact for Product, PMO, and go-to-market teams
- Track execution progress, dependencies, and delivery risks across AI initiatives
- Support post-launch analysis, feedback collection, and continuous improvement of AI-powered features
Requirements
- 5+ years of experience in Product Management, Technical Product Management, or a closely related role
- Hands-on experience working with AI or machine-learning-driven systems in development or production environments
- Strong understanding of AI and ML concepts, limitations, and tradeoffs (without being responsible for model training)
- Proven ability to work closely with engineers on technically complex systems
- Experience translating data pipelines, analytics, or model outputs into user-facing product capabilities
- Strong written and verbal communication skills across technical and non-technical audiences
- Familiarity with cloud platforms such as AWS, GCP, or Azure in data or ML contexts
- Bachelorβs degree in a technical or quantitative field, or equivalent practical experience
- Due to FedRAMP requirements, candidates must be a U.S. Person
Benefits
- Medical, Dental & Vision (Inclusive of domestic partnerships)
- Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
- Voluntary Short/Long Term Disability Insurance
- 401k (Roth/Traditional)
- A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
- Above market annual bonuses
