Horizon3AI
Staff Product Manager, Agentic Data Platform
$194K–$265K
San Francisco, California +1 · Hybrid · Staff · Full-time · Posted Oct 27, 2026
- Location
- San Francisco, California
New York City, NY - Experience
- 8+ years of Product Management experience, including 4+ years building infrastructure, data, or machine-learning platform products in B2B SaaS environments.
- Education
- Preferred: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; an advanced degree in engineering, computer science, machine learning, or business is also preferred.
About the job
Leads product strategy and business performance for NodeZero’s data and machine-learning platform, turning cybersecurity assessment data into scalable services for product teams, ML engineers, and agentic systems.
What you'll do
- Own the platform roadmap for managed databases, the asset and attack graph, data APIs, and machine-learning infrastructure.
- Set requirements for data quality, security, governance, reliability, cost management, and platform adoption.
- Partner across engineering, finance, and business teams to guide investments, delivery, and measurable outcomes.
What they ask for
- 8+ years of Product Management experience, including 4+ years building infrastructure, data, or machine-learning platform products in B2B SaaS.
- Technical understanding of production databases and scalable data platforms, including pipelines, data models, APIs, and distributed architectures.
- Understanding of traditional machine-learning infrastructure and data governance/security requirements in multi-tenant SaaS.
- Financial acumen in infrastructure cost modeling, ROI, and investment cases; experience driving internal platform adoption.
Nice to have
- Prior work as a database engineer, data engineer, ML engineer, Site Reliability Engineer (SRE), or technical founder; security data platform experience.
- Familiarity with graph data modeling, vector databases, semantic search, training-data infrastructure, FinOps, MLOps, or generative AI data requirements.
Pay
$194,395 - $265,000 USD base salary
Tools
relational databases, graph databases, vector databases, MLflow, Kubeflow, SageMaker, Vertex AI, Databricks
AI focus
Owns traditional ML platform capabilities, training-ready datasets, feature stores, model pipelines, deployment, monitoring, and governance; supports agentic systems and notes generative-AI data needs such as embeddings, vector search, and fine-tuning datasets.
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