# Senior Manager, Database Platform at Horizon3 AI

Horizon3 AI is hiring a Senior Manager, Database Platform. It pays $242k-$275k a year and Level rates it Little AI ●○○○; you can [apply on Level](https://jobsbylevel.com/go/bf5f61df-f8ab-4649-a440-8da561ecc6c3).

AI Level 1, AI centrality 23 out of 100. Remote (US, Remote).

## Details

- Company: [Horizon3 AI](https://jobsbylevel.com/companies/horizon3-ai)
- AI level: AI Level 1 (score 23 out of 100)
- Location: Remote (US, Remote)
- Salary: $242k-$275k
- Posted: October 8, 2026
- Apply: https://jobsbylevel.com/go/bf5f61df-f8ab-4649-a440-8da561ecc6c3

## Description

Get to Know Us Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. NodeZero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises. It is used by ITOps/SecOps teams, consulting pentesters, and MSSPs and MSPs. We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results. What You'll Do You will lead the Database Platform team — the engineering team responsible for the data infrastructure that underpins every NodeZero pentest, finding, and report. NodeZero operates at scale: millions of discovered assets, tens of millions of vulnerability findings, and audit-critical data that our customers rely on to remediate risk. The Database Platform team owns the design, operation, and reliability of our core data layer — currently PostgreSQL as the primary store and Neo4j for the asset graph, with time-series and analytical stores on the roadmap as NodeZero's data volume and use cases grow. You will lead a team of ~8 engineers including a Principal Engineer, and you will build this team from a strong foundation into a fully staffed, world-class data platform organization. Team Building & Culture: Hire, mentor, and grow the Database Platform team to full capacity. Establish database engineering norms and a culture of ownership for engineers who share responsibility for the most critical data layer in our stack. Data Architecture: Partner with the Principal Engineer to define the technical direction for NodeZero's data platform — schema design standards, query patterns, migration strategies, and scalability principles. Reliability & Operations: Own SLOs for database availability, query latency, and data integrity across production environments. Drive oncall maturity and runbook quality. Data Modeling & Schema Governance: Establish schema review processes and data modeling standards. Ensure NodeZero's data model evolves cleanly as new pentest capabilities ship. Cross-team Partnership: Collaborate with Data Ingestion, Security Research, and API Platform teams to align on data contracts, API design, and pipeline dependencies. Act as a Product Owner: Translate data platform needs from Security Research and Product into a clear, prioritized engineering roadmap. What You'll Bring Data Platform Leadership & Architecture Demonstrated experience leading teams that design, scale, and operate relational databases (PostgreSQL preferred) and hybrid data stores (graph, time-series, or document) in production at scale. Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements. Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns. Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling. Team Building & Engineering Culture Experience building or significantly growing an engineering team — including hiring, onboarding, and establishing engineering norms tailored for data-intensive systems. Proven ability to define and instill engineering culture: rigorous

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