Intelligence Pipeline Engineer

🔥 0 minutes ago

🏄 California, District of Columbia, +1 more states – Remote

🏄 California – Remote 🏛️ District of Columbia – Remote 🗽 New York – Remote

💵 $90k - $120k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👷🏻‍♀️ Engineer

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Zignal Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2011

🤖 Artificial Intelligence

☁️ SaaS

🏛️ Government

💰 $15M Debt Financing - Zignal Labs on 2019-01

Artificial Intelligence • SaaS • Government

Zignal Labs is a technology company that provides an agentic intelligence platform for national security and defense users. Its platform delivers persistent, analyst-directed workflows that collect and enrich multimodal signals at scale, produce structured intelligence outputs and alerts via APIs, and enable earlier warning and sustained decision advantage for protecting people, facilities, and missions across political, military, economic, social, information, infrastructure and physical environments.

📋 Description

• 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.

🎯 Requirements

• 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.