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