# Engineering Manager, Data Streaming at Horizon3 AI

Horizon3 AI is hiring an Engineering Manager, Data Streaming. It pays $225k-$265k a year and Level rates it Little AI ●○○○; you can [apply on Horizon3 AI](https://jobsbylevel.com/go/00e9f318-4662-4634-a294-bc5ee64e0d53?utm_medium=ai-agent).

AI Level 1, AI centrality 31 out of 100. Remote (US, Remote).

## Details

- Company: [Horizon3 AI](https://jobsbylevel.com/companies/horizon3-ai)
- AI level: AI Level 1 (score 31 out of 100)
- Location: Remote (US, Remote)
- Salary: $225k-$265k
- Posted: October 23, 2026
- Apply: https://jobsbylevel.com/go/00e9f318-4662-4634-a294-bc5ee64e0d53?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=engineering-manager-data-streaming-at-horizon3-ai-07cf91

## 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 Data Streaming — a sub-team within Data Ingestion, reporting to the Senior Manager, Data Ingestion. Data Streaming is the team responsible for reliably collecting, normalizing, and routing the raw data that powers NodeZero's autonomous pentests. Every IP address, open port, credential, vulnerability finding, and asset relationship that NodeZero discovers flows through this team's pipelines before it becomes an insight the customer can act on. Data Streaming is mission-critical: if the pipeline stalls, pentest results stall. You will grow this sub-team from its current state to a full team of 6–7 engineers, building the reliability and throughput to match NodeZero's growth trajectory. Lead Data Streaming: Own the engineering execution and team health for the Data Streaming sub-team. Drive sprint cadence, technical design reviews, and engineering quality for a team that processes pentest telemetry at scale. Pipeline Reliability: Own SLOs for ingestion throughput, latency, and error rates. Build the on-call processes and runbooks that keep pipelines healthy in production. Schema & Contract Ownership: Maintain stable ingestion schemas and data contracts between the NodeZero runner, Security Research, and the Database Platform. Evolve these contracts carefully as new pentest capabilities ship. Scalability: Scale ingestion pipelines to handle NodeZero's growth — more customers, larger environments, new data types — without requiring proportional engineering effort to operate. Partner cross-functionally: Work closely with Security Research (the source of new pentest data), Database Platform (the downstream consumer), and Asset Inventory (which depends on clean, normalized data) to align on data quality and pipeline design. Team Building: Grow the sub-team to full capacity and build a culture of operational ownership: engineers who are proud of pipeline reliability, not just feature velocity. What You'll Bring Experience leading teams of 5-8 engineers building and operating data ingestion or ETL/ELT pipelines in production. Deep understanding of streaming or event-driven data architectures — Kafka, Kinesis, Pub/Sub, or equivalent. Experience designing data normalization and enrichment pipelines at scale, with strong attention to data quality, deduplication, and schema evolution. Proven ability to define and own SLOs for pipeline systems: latency, throughput, error rate, and data completeness. Experience operating data pipelines in cloud-native environments; understands the failure modes and operational patterns at scale. Comfortable operating with autonomy — can translate ambiguous product requirements into well-scoped engineering projects. Technical Expertise Proficient in Go or Python; comfortable reading and writing pipeline code, not

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Source: https://jobsbylevel.com/jobs/engineering-manager-data-streaming-at-horizon3-ai-07cf91

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