Senior Engineering Manager (Data Platform) Horizon3
Autonomous security solutions to identify and fix attack vectors.
Permanent
Fully-remote
242,3K to 275K $ a year
> 5 years
Skills we're looking for
Cybersecurity knowledge
Analytics & Business Intelligence
Creativity and innovation
Collaboration and teamwork
Kubernetes
+10
You'll be part of
United States of America
231 employees
Intelligence artificielle / Machine Learning
Our take
In an era marked by escalating cyber threats and data breaches, safeguarding digital assets has become a high priority across all industries. Amid this landscape, Horizon3.ai stands out as an autonomous security solution by addressing the critical need for robust cybersecurity. At the heart of Horizon3.ai's mission is NodeZero™, a platform designed to elevate proactive security measures. Using this, customers can verify their security posture and identify potential vulnerabilities through self-service. This proactive approach to cybersecurity effectively thwarts potential exploits and ensures the integrity of their digital infrastructure. With 2025 funding in hand, the company is poised to further its ambition to develop into an industry-leading cybersecurity company. The infusion of funds will be channelled towards expanding its partner network, refining its offerings and entering the US government market. Horizon3 aims to establish itself as a pivotal player in the evolving autonomous security landscape, a highly lucrative market valued at $80 billion.
You'll be working on
- 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
Benefits
- Growth Opportunities: Be part of a dynamic and growing team with numerous career advancement opportunities
- Innovation-Driven Culture: Work in a collaborative environment that encourages creativity and out-of-the-box thinking
- Inclusive and Diverse Team: We value diversity and promote an inclusive culture where everyone can thrive
- Flexible Work Environment: Enjoy the convenience and work-life balance that comes with remote work
We're looking for
- 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
- Drives high-impact architecture decisions rigorously — requires design documents, runs structured reviews, builds consensus across platform teams
- Experience building or significantly growing an engineering team — including hiring, onboarding, and establishing engineering norms tailored for data-intensive systems
- Strong understanding of database performance: query optimization, indexing strategies, EXPLAIN analysis, and connection pooling
- Familiarity with graph databases (Neo4j, AWS Neptune) or time-series stores (TimescaleDB, InfluxDB) is a strong plus
- Kubernetes and containerized database operations — stateful workload management
- Experience with AWS data services: RDS/Aurora, DynamoDB, ElastiCache, or equivalent
- Experience with multi-tenant data architectures: customer data isolation, row-level security, and data residency concerns
- Proficient in Go, Python, or SQL (deep expertise)
- Experience defining schema migration strategies for high-velocity production environments with zero-downtime requirements
- Able to partner effectively with a Principal Engineer and leverage their technical leadership without diminishing team ownership
- Proven ability to define and instill engineering culture: rigorous schema review, data integrity standards, operational runbooks, and oncall rotation
- Production experience with PostgreSQL at scale: partitioning, logical replication, pg_bouncer/pgpool, read replicas
- Background in cybersecurity data, threat intelligence feeds, or vulnerability databases
- Familiarity with analytical query patterns: BI tooling, OLAP workloads, or customer-facing analytics
- Experience with data platform compliance: SOC 2, FedRAMP, or GDPR/CCPA data handling requirements
- Experience operating databases in multi-region or active-active configurations