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[Remote] Intelligence Pipeline Analyst

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Zignal Labs operates at the forefront of AI-powered media intelligence and operational data analytics. They are seeking an Intelligence Pipeline Analyst to independently manage operational intelligence workflows, optimize AI-driven capabilities, and collaborate across teams to support mission-critical operations.

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

Skills

  • 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
  • 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

Benefits

  • Fully Remote

Company Overview

  • Zignal’s real-time intelligence technology helps global organizations protect their people, places, and position. It was founded in 2011, and is headquartered in San Francisco, California, USA, with a workforce of 51-200 employees. Its website is http://zignallabs.com.
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