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.