Responsibilities

We are seeking a Staff Product Manager to lead the strategy, development, and evolution of NodeZero’s Agentic Data Platform, including Database-as-a-Service (DBaaS), machine learning infrastructure, and the data services that power our next generation of cybersecurity capabilities.
Every autonomous pentest NodeZero runs generates valuable insights into how real environments can be compromised, from hosts and identities to credentials, vulnerabilities, and attack paths. This role is responsible for turning that data into a scalable, reliable, and intelligent platform that enables product teams, machine learning engineers, and agentic systems to build differentiated security capabilities.
This role requires strong technical depth in data infrastructure, database architecture, machine learning platforms, and cloud services, combined with excellent product judgment and commercial awareness. You will balance architectural trade-offs, reliability, governance, and long-term scalability with the needs of engineering teams and the broader business.
As a senior leader within Product, you will operate with high autonomy, influence executive direction, and serve as the product owner for foundational capabilities that enable innovation across NodeZero. You will define clear success metrics and ensure delivery against platform adoption, performance, reliability, cost efficiency, and business growth goals.
Data Platform Product Strategy: Define and execute the product vision and multi-quarter roadmap for NodeZero’s data services and machine learning platform. Determine which capabilities should be centralized, evaluate build-versus-buy decisions, and align platform investments with business priorities, customer outcomes, and long-term product differentiation.
Database-as-a-Service (DBaaS) Ownership: Lead the evolution of managed relational, graph, and vector data services, including self-service provisioning, scaling, migrations, upgrades, and lifecycle management. Ensure data infrastructure delivers the reliability, performance, security, and flexibility required by internal teams and enterprise customers.
Asset and Attack Graph Infrastructure: Own the product strategy for NodeZero’s unified asset and attack graph, including complex data relationships, multi-hop query performance, data freshness, consistency, and scalable access to offensive security intelligence.
Data Architecture, APIs, and Integrations: Partner closely with Engineering to define scalable data models, query APIs, change-data-capture pipelines, event streams, schema governance, and platform abstractions that enable product, ML, and agent teams to build efficiently on shared infrastructure.
Machine Learning Platform Strategy: Own the infrastructure supporting traditional machine learning workflows, including training pipelines, feature stores, experiment tracking, model registries, batch and real-time inference, deployment, monitoring, and evaluation standards. Enable teams to develop, deploy, and operate production ML models reliably.
Training Data and Data Quality: Define capabilities for curated, versioned, and documented training datasets derived from pentest and platform data. Drive data quality, lineage, reproducibility, labeling pipelines, ground-truth collection, and consistent offline and online features that support classification, entity resolution, risk scoring, prioritization, and anomaly detection.
Platform Reliability and Operational Excellence: Drive the capabilities required for high availability, scalability, disaster recovery, backup and restore, multi-region readiness, and operational resilience. Partner with Engineering to establish SLOs, data quality SLAs, observability, and performance metrics that ensure dependable platform services.
Data Security and Governance: Define product requirements for tenant isolation, hierarchical multi-tenancy, data access controls, encryption, retention, deletion, and sensitive security artifact handling. Ensure training data and machine learning workflows support contractual requirements, customer consent, anonymization, auditability, and model governance.

Staff Product Manager, Agentic Data Platform at horizon3ai · LumiJobs

Staff Product Manager, Agentic Data Platform

Responsibilities

Qualification

Preferred

Benefits

Company

horizon3ai

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