About Zignal Labs
At Zignal Labs, we operate at the forefront of AI-powered media intelligence and operational data analytics, supporting some of the most mission-critical defense, intelligence, and commercial programs in the world.
We are seeking an Intelligence Pipeline Engineer to join our growing team. This role blends intelligence tradecraft, operational data engineering, AI-driven workflows, and real-time mission support.
This role is designed for professionals who can independently own operational intelligence workflows, drive pipeline optimization efforts, operationalize AI-enabled capabilities, and collaborate cross-functionally to support mission-critical operations.
Key Responsibilities
Design, configure, maintain, and optimize operational intelligence collection pipelines supporting real-time monitoring and alerting workflows
Independently build, curate, tune, and manage structured datasets, collection logic, enrichment workflows, and operational intelligence pipelines
Develop and refine advanced collection strategies using Boolean logic, heuristics, metadata enrichment, tagging frameworks, geospatial filtering, and signal scoring methodologies
Drive continuous improvements in signal quality, workflow efficiency, operational relevance, and data reliability
Deploy, evaluate, monitor, and optimize AI/ML and computer vision models supporting operational intelligence workflows
Develop, test, and refine LLM-driven workflows, prompt frameworks, and AI-assisted alerting systems
Support multimodal intelligence workflows integrating text, image, video, metadata, geospatial, and behavioral signals into actionable operational insights
Partner closely with Product, Engineering, Data Science, Customer Success, and mission stakeholders to operationalize new capabilities and improve workflows
Lead operational troubleshooting, pipeline hardening, workflow optimization, and issue resolution efforts
Identify emerging collection opportunities, platform shifts, operational risks, and regional digital ecosystem changes
Contribute to operational standards, workflow documentation, and best practices for intelligence pipeline engineering
Mentor junior team members supporting operational intelligence workflows
Uphold classification, security, legal, and ethical standards for government-facing operational environments
Required Qualifications
Active TS/SCI clearance preferred or ability to obtain and maintain one
8+ years of experience supporting DoD, Intelligence Community, defense contractor, or related operational intelligence environments
Experience designing, operating, or optimizing intelligence collection workflows, operational monitoring pipelines, or AI-assisted analytical systems
Strong understanding of OSINT methodologies, operational collection strategies, and intelligence tradecraft
Advanced experience building and refining Boolean logic, heuristic filtering, operational tagging systems, or enrichment workflows
Familiarity with AI/ML concepts including NLP, clustering, anomaly detection, entity extraction, computer vision, or multimodal analysis
Ability to independently manage competing operational priorities in dynamic mission environments
Strong communication and cross-functional collaboration skills
Preferred Qualifications
Experience with Python, SQL, APIs, workflow orchestration, or scripting for operational automation and pipeline management
Experience supporting real-time operational monitoring and mission-critical alerting systems
Familiarity with AI-assisted analytical workflows, prompt engineering, or operational LLM integration
Experience collaborating with engineering or product teams to operationalize new capabilities
Experience mentoring analysts or engineers in operational intelligence environments
Familiarity with foreign social media ecosystems and globally distributed information environments relevant to defense missions
Why Join Zignal Labs?
At Zignal, you’ll work at the forefront of AI-powered data intelligence, supporting some of the most mission-critical defense and intelligence programs in the world. You’ll play a key role in how large-scale data is collected, refined, and deployed in support of national security and critical commercial environments.
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