539,450open jobs
19,395companies
74,343added this week
Browse all
Salary
$233k – $292k per year
Location
In office (El Segundo)
Seniority
Architect · 10+ years exp
Overview
Company
Impact
Profile match
CHAOS Industries is a defense technology and aerospace enterprise specializing in advanced sensing, detection, and signal processing systems. Headquartered in Los Angeles, California, the company develops hardware and software platforms for defense, government, and critical infrastructure applications. Its core business activities center on building Coherent Distributed Networks that interconnect multi-domain sensor networks, alongside proprietary radar technologies designed to deliver rapid threat detection, real-time operational intelligence, and integrated airspace defense.

CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage-domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

Role Overview

Data is foundational to how CHAOS develops, tests, and improves complex sensing systems. As the company scales, we need a data operating model that makes information consistent, trusted, secure, and usable across Engineering, AI, Test, and business teams.

As Director of Data Management and Operations, you'll own the end-to-end data lifecycle: how data is defined, collected, transported, governed, transformed, secured, and delivered for analysis. You'll lead our data management and field data operations functions, partnering closely with the Foundry engineering team to ensure the platform meets company needs.

This isn't an analytics-only role. It's a technical and operational leadership role spanning data governance, data-platform coordination, and test operations. You'll build durable systems and teams while remaining close enough to field execution to understand where data quality and collection break down.

Success means teams use the same definitions, analysts can trust the datasets they receive, test data is captured and available quickly, and access to sensitive data is controlled and auditable without becoming a barrier to execution.

Responsibilities

  • Establish company-wide governance for data definitions, ownership, quality, lineage, retention, and calculation change management.
  • Create authoritative, documented analytical datasets and shared definitions so teams can work from consistent data and metrics.
  • Work with the Foundry engineering team to ensure that data ingestion, ETL, modeling, transformation, validation, and monitoring align with stakeholder needs.
  • Own permissions management and partner with Security and Compliance to implement least-privilege access, auditability, retention, and handling controls for sensitive data.
  • Build a repeatable process for planning data capture at test events, including required sensor data, metadata, truth data, labels, logging, storage, and validation.
  • Coordinate across teams to translate test objectives into clear data requirements and ensure collection systems are ready before testing begins.
  • Establish pre-test readiness and post-test reconciliation processes so required data is captured, validated, transferred, cataloged, and available for analysis.
  • Use test outcomes and data gaps to continuously improve collection methods, retention strategy, data quality controls, and the underlying data architecture.
  • Build and manage teams responsible for data governance and field data operations, while establishing an effective partnership with the Foundry engineering team.
  • Sustain data operations at CHAOS test sites, including contributing to test schedule strategy, extraction technology and logistics, , and data labeling.
  • Create clear operating procedures, ownership, service levels, and metrics for pipeline reliability, test data capture, and data availability.
  • Partner with Foundry engineering to balance immediate test and program needs with long-term investments in scalable architecture, automation, , and team capability.
  • Work full-time on-site at our El Segundo, CA headquarters
  • Travel to CHAOS test sites and other company locations on a regular basis.
  • Support critical test events and field operations outside standard business hours when needed.

 

Minimum Requirements

  • 10+ years of experience across data engineering, data platforms, data governance, analytics infrastructure, test data, or similarly complex technical environments, including significant team leadership.
  • 3+ years of management experience, ideally with prior experience managing teams incorporating non-exempt or contract employees.
  • You see data as both a technical platform and an operating discipline, not simply a reporting or analytics function.
  • You can move comfortably between data engineers, radar and test teams, security stakeholders, analysts, and senior leadership.
  • You build governance creating clarity and trust without unnecessary bureaucracy.
  • You are willing to get close to field operations and understand the practical realities of collecting, moving, and validating data.
  • You thrive in high-execution environments where requirements evolve quickly and ownership is expected.
  • You combine strong technical judgment with practical prioritization and can make sound tradeoffs across platform, operations, and compliance.
  • You enjoy building teams, systems, and operating rhythms from the ground up.
  • Demonstrated ownership of production data pipelines from source ingestion through transformation, quality assurance, publication, and consumption.
  • Strong knowledge of ETL, data modeling, metadata, lineage, data quality, observability, and modern data engineering practices.
  • Strong cross-functional leadership and communication skills, with the ability to turn ambiguous needs into clear standards, systems, and operating processes.
  • Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.

 

Preferred Requirements

  • Experience with Palantir Foundry or a comparable enterprise data platform; deep Foundry experience is strongly preferred.
  • Radar or defense systems experience
  • Experience planning or supporting test events and coordinating the operational logistics required to reliably collect and transport data.
  • Experience designing permissions and access-control processes in environments with significant security, compliance, audit, or data-handling requirements.
  • Experience supporting data collection from physical systems, sensors, laboratories, manufacturing, or field testing.

Why CHAOS?

  • Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
  • Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
  • Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
  • Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
  • Team Growth: 350 employees and counting across 5 global offices

$233k-292k

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
539,450 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
El Segundo
$192k – $260k per year • In office • 8+ years exp • PhD • Mountain View
Python
Java
C++
Scala
Databases
Databricks
Game Dev
Unity
Analytics
ETL/ELT
Apply
$77k – $189k per year (Estimated) • In office • Full-Time • 8+ years exp • Bachelor's Degree • Melbourne
Python
Bash
Databases
ElasticSearch
AI/ML
InfiniBand
DevOps
Terraform
Ansible
Loki
OpenTelemetry
OpenTofu
VMWare
CircleCI
Prometheus
CI/CD
GitOps
ArgoCD
Kubernetes
Grafana
Platform Engineering
Self-Healing
Proxmox VE
KVM
Amazon S3
HPC
Cybersecurity
ISO 27001
SOC 2
Least Privilege
Apply
$155k – $180k per year • Remote • Full-Time • 7+ years exp
Python
SQL
Databases
PostgreSQL
Google BigQuery
BigQuery
AI/ML
dbt
DevOps
Terraform
GCP
GitHub Actions
Prometheus
CI/CD
Kubernetes
Grafana
Cybersecurity
Polaris
Analytics
ETL/ELT
Looker
Management
Agile
Apply
$41k – $109k per year (Estimated) • Remote • Full-Time
Python
SQL
Databases
Snowflake
Analytics
ETL/ELT
Apply
AI/ML Developer 7 hours ago
Remote • Full-Time • 2+ years exp • Bachelor's Degree
Python
SQL
Databases
MySQL
PostgreSQL
Snowflake
AI/ML
Spark
Vertex AI
Fine-tuning
Scikit-learn
AI Agents
NLP
TensorFlow
Pandas
NumPy
PyTorch
BERT
Sentiment Analysis
Hugging Face
Amazon SageMaker
DevOps
GCP
Azure
AWS
AWS Lambda
Amazon S3
Analytics
Tableau
Power BI
Matplotlib
ETL/ELT
Management
Microsoft Teams
Apply
$246k – $308k per year • Equity • In office • Full-Time • 15+ years exp • Bachelor's Degree • El Segundo
Chips/EDA
Cadence Sigrity
Ansys SIwave
HyperLynx
Apply
$240k – $310k per year • Equity • In office • Bachelor's Degree • El Segundo
Python
C++
AI/ML
AI Agents
Multi-Agent Systems
Robotics
ROS
ROS2
Sensor Fusion
Apply
DevSecOps Engineer 11 hours ago
$110k – $160k per year • Equity • In office • Top Secret • 4+ years exp • Bachelor's Degree • El Segundo
Python
Go
DevOps
Terraform
Ansible
GitHub Actions
CloudFormation
GitLab CI
Azure
CI/CD
GitOps
Jenkins
AWS
Docker
Kubernetes
Shift-Left
IAM
Cybersecurity
Snyk
Nessus
OWASP ZAP
SonarQube
Checkmarx
Least Privilege
Shift-Left Security
Threat Modeling
SBOM
Sigstore
Cosign
Kyverno
Apply
$116k – $237k per year (Estimated) • Equity • In office • 5+ years exp • Washington
Cybersecurity
NIST CSF
NIST 800-53
NIST 800-171
Apply
$140k – $176k per year • Equity • In office • Full-Time • 7+ years exp • Bachelor's Degree • El Segundo
Python
Apply
$36k – $66k per year • In office • Secret • Full-Time • Master's Degree • El Segundo
Python
C++
MATLAB
Apply
$196k – $253k per year • Remote/Hybrid • Full-Time • 14+ years exp • High School Diploma • Foster City • Thousand Oaks • El Segundo • Santa Monica
Apply
$45k – $70k per year (Estimated) • Remote/Hybrid • Internship • Bachelor's Degree • El Segundo
Management
Outlook
SharePoint
Apply
$161k – $242k per year • In office • TS/SCI • Full-Time • 5+ years exp • Bachelor's Degree • San Diego • Palmdale • El Segundo
Management
Agile
Scrum
Apply
$160k – $239k per year • In office • Top Secret • Full-Time • 4+ years exp • Bachelor's Degree • San Diego • El Segundo
Apply
See all jobs
This is one of many
539,450 more open roles from verified company boards, updated every day.