Staff Product Manager, Agentic Data Platform

The role

You will lead the strategy, development, and evolution of NodeZero’s Agentic Data Platform. This includes managing Database-as-a-Service, machine learning infrastructure, and data services to enable cybersecurity capabilities.

What you will do

• Define and execute the product vision and multi-quarter roadmap for data services and machine learning platform
• Lead the evolution of managed relational, graph, and vector data services
• Own the product strategy for NodeZero’s unified asset and attack graph
• Partner with Engineering to define scalable data models, APIs, and integrations
• Own infrastructure supporting machine learning workflows including training pipelines and model registries
• Define capabilities for curated, versioned, and documented training datasets
• Drive capabilities for high availability, scalability, and operational resilience
• Define product requirements for tenant isolation, data access controls, and encryption
• Own product requirements and business strategy for managing data and ML infrastructure costs
• Identify opportunities for pricing, packaging, and monetization

Required qualifications

• 8+ years of Product Management experience
• 4+ years building infrastructure, data, or machine learning platform products in B2B SaaS environments
• Deep technical understanding of production databases including relational, graph, or similar systems
• Experience building or managing scalable data platforms
• Strong understanding of traditional machine learning infrastructure
• Experience defining data governance and security requirements
• Demonstrated financial acumen for infrastructure cost models and ROI
• Proven experience driving adoption of internal platforms
• Strong product judgment regarding technical constraints and architectural decisions
• Ability to work collaboratively with senior engineering leaders, data scientists, and ML engineers
• Strong business orientation
• Excellent communication and stakeholder management skills

Nice to have

• Previous experience as a database engineer, data engineer, ML engineer, Site Reliability Engineer (SRE), or technical founder
• Experience with security data platforms, including XDR, SIEM, exposure management, or offensive security products
• Hands-on familiarity with graph data modeling, entity resolution, vector databases, and semantic search
• Experience developing labeling pipelines, ground-truth datasets, or training data infrastructure
• Experience with FinOps practices, cloud infrastructure optimization, or FinOps certification
• Familiarity with MLOps technologies such as MLflow, Kubeflow, SageMaker, Vertex AI, Databricks, or Feast
• Understanding of generative AI data requirements, including embeddings, vector search, and fine-tuning datasets
• An advanced degree in engineering, computer science, machine learning, or business

Benefits

• Health, vision & dental insurance for you and your family
• Flexible vacation policy
• Generous parental leave
• Equity package in the form of stock options

About the company

Horizon3 is a fast-growing, remote cybersecurity company dedicated to enabling organizations to proactively find and fix exploitable attack vectors. Their flagship product, NodeZero, delivers autonomous pentests across various environments.