Engineering Manager

Nebulock

26d

About The Position

Nebulock is an agentic threat hunting platform that autonomously surfaces behaviors, not just IOCs, from various data sources. Nebulock acts like a teammate: a 24/7 AI threat hunter that investigates hypotheses, reasons through telemetry, and learns from an environment. Today, threat hunting is broken. Security teams spend weeks chasing alerts, writing detections by hand, and manually validating findings often just to confirm what their existing tools already flagged. Meanwhile, attackers exploit credentials, move laterally, and operate in silence. Nebulock flips the model. We continuously and autonomously hunt across endpoint, identity, and cloud telemetry. We identify the subtle behavioral signals that point to credential misuse, lateral movement, insider threats, and post-access activity. Then we turn those hunts into hardened, behavior-based detections automatically. As the first Engineering Manager at Nebulock, you will lead the team responsible for the core systems that form the foundation upon which Nebulock is built. You will own the vision and execution of our data ingestion, transformation, and search layers that power threat hunting and detection engineering workflows for our customers. You will build and grow a high-performing team while remaining hands-on when needed. This is a foundational leadership role with significant ownership over architecture, team culture, and long-term technical direction. This role blends hands-on technical leadership with people management. You will guide system design decisions, empower engineers, and maintain a high bar for quality and execution. You will partner cross functionally with our internal detection engineering and threat hunting team, and our product engineers to ensure Nebulock’s platform can ingest, process, and reason over massive volumes of security telemetry (TBs / day).

Requirements

6+ years of experience building backend distributed systems and working with data
1+ years of experience managing engineering teams
Proficiency in Python, Java, Go, Rust, or similar
Experience with either AWS or GCP
Deep experience with data pipelines and event-driven systems
Strong understanding of system design, data modeling, and performance trade-offs
Experience with OLAP databases and large-scale query systems
Proven ability to lead a team that executes consistently and maintains a high-quality bar
Desire to operate in a fast-paced, low-ego environment

Nice To Haves

Experience with streaming data processing engines (i.e. Flink)
Experience building or working with search systems over large datasets
Cybersecurity experience
Startup experience

Responsibilities

Own and drive the architecture of Nebulock’s data platform
Establish best practices for data modeling, system reliability, and performance optimizations
Oversee the development of complex entity correlation systems
Guide the development and evolution of real-time and batch processing systems
Ensure high-quality and clearly structured data models that power detection engineering and threat hunting workflows
Set standards for building scalable integrations across diverse and disparate data sources (EDR, IAM, Cloud, SaaS)
Build, mentor, and lead a team of backend engineers
Drive execution quality, velocity, and accountability across the team
Foster a culture of high-ownership, transparency, and low-egos
Support career growth and development of individual team members
Own recruiting for the data platform team as needed
Work cross functionality to align on data platform needs and capabilities
Translate business and product priorities into concrete data platform roadmap items and deliverables
Partner in shaping Nebulock’s broader engineering culture and standards