• Collect, validate, analyze, and integrate information from multiple sources, including raw and incomplete data, to produce high-quality finished intelligence and analytical deliverables that enable private and public sector clients to make informed operational and strategic decisions. • Perform detailed multi-source imagery data exploitation, geospatial integration and contextualization writing in support of Project Leads, following established Standard Operating Procedures (SOPs) and written Tactics, Techniques and Procedures (TTPs). • Lead projects and develop collection and analysis strategies using all-source methodologies, with a focus on leveraging local indigenous sources, locally sourced imagery, secondary research, social media analysis, publicly available geospatial data, and commercial satellite imagery to answer client requirements. • Develop, refine, and continuously improve research and analytical methodologies; evaluate emerging sources, tools, and collection approaches; and recommend new methods to enhance project quality, efficiency, and insight generation. • Fuse and integrate disparate streams of information to produce finished written analytical products that clearly define the problem, outline methodology, assess key findings, identify gaps and assumptions, and provide well-reasoned judgments and recommendations. • Adhere to Culmen International Writing Style guide and aim to “write for release” which entails evaluating the source and packaging the research in a way that protects proprietary methodologies. • Perform requirements-based Secondary Research (desktop or online research) and be able to author original written reports on findings and document sources; must have an understanding of Operational Security while online to include use of non-attributable search methods. • Perform gap analysis on field and final analytical products to ensure deliverables address all collection objectives, satisfy client requirements, and meet quality standards; clearly articulate intelligence gaps, collection shortfalls, and recommendations for follow-on action. • Geospatial analysis. Ability to interpret maps and overhead/satellite imagery and compare with ground-acquired event data (to include hand-held imagery, social media imagery, news coverage) to deduce geolocation and exploit information. • Provide substantive research expertise and analytical support for directed efforts, including rapid-turn and high-priority Requests for Information (RFIs), while managing competing deadlines and evolving client requirements. • Support data management, knowledge management, and filing protocols to ensure analytical integrity and efficient retrieval of project materials. • Coordinate across project teams to support planning, workflow management, and internal communication on project status, deliverables, and deadlines. • Assist in developing, maintaining, and training team-level written SOP and TTPs.

• Protect our customer's networks by identifying and understanding intrusions using Falcon Endpoint data and the broader CrowdStrike product suite. • Analyze adversary activity and communicate those findings to customers as part of our fast-paced time sensitive mission to help stop breaches. • Undertake research to improve our detection capabilities, understand our adversaries, build tools, or work with other CrowdStrike teams across a broad range of topics and projects • Participate in active and passive threat hunting and gain fast-paced experience in dealing with threat actors

Role Description As a Decision Intelligence Analyst, you will be at the heart of how Aily's platform comes to life for our clients. You will own the day-to-day execution of client integrations — preparing and managing data, running and optimizing AI models, and ensuring that every tenant delivers the highest possible quality and business impact. This is a hands-on, execution-focused role for someone who is analytical, detail-oriented, and genuinely excited about making AI work in the real world. You will work closely with an AI Delivery Lead and collaborate across client-facing and technical teams to turn business needs into working, high-impact AI solutions. - Prepare, structure, and upload client data into Aily's proprietary data models, ensuring accuracy, quality, and completeness - Adapt and configure data models to fit specific client contexts, business processes, and decision workflows - Run and operate AI models end-to-end, taking ownership of model performance and output quality across client tenants - Execute model fine-tuning and optimization cycles to continuously improve decision outcomes and business relevance - Monitor and validate AI outputs on an ongoing basis, identifying inconsistencies and proactively resolving quality issues - Develop a deep understanding of each client's business routines, user workflows, and decision-making processes to ensure AI solutions are practical, relevant, and adopted - Track and report on tenant health metrics, surfacing insights and recommendations to maximize client impact - Collaborate with the AI Delivery Lead, Product, and Engineering teams to flag issues, share learnings, and contribute to platform improvements Qualifications - Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field - Proficiency in Python and SQL; solid understanding of data structures and modeling concepts - Strong attention to detail, a structured approach to problem-solving, and a drive to get things done with high quality - Comfortable taking responsibility for the quality and performance of the solutions you manage - Eager to deepen expertise in AI decision systems, model fine-tuning, and agentic AI architectures - Clear communicator who works effectively across technical and non-technical stakeholders - Able to context-switch across different industries, business functions, and client environments - Genuine interest in understanding how end users interact with AI in their daily work, and what makes solutions truly useful Requirements - Familiarity with ML frameworks such as scikit-learn, PyTorch, or similar - Experience with cloud platforms (AWS, GCP, or Azure) - Previous internship or work experience in a data, analytics, or AI-related role - Exposure to enterprise software implementations or client-facing technical roles Benefits - Competitive salary and equity package - Flexible, remote-first culture with the option to work from our offices in Lisbon and Munich - A culture that values ownership, curiosity, and direct feedback Company Description At Aily Labs, we're building the AI operating system for business decisions. Our platform empowers organizations to make faster, smarter, and more consistent decisions by combining cutting-edge AI with deep business context. We work with leading enterprises across industries to transform how decisions are made — from strategy to execution. We're growing fast, and we're looking for exceptional people who want to shape the future of AI-driven decision-making.

Role Description cFocus Software seeks a Cyber Security Threat Intelligence Manager to join our program supporting the Housing and Urban Development. This position is remote and requires a Public Trust clearance. Qualifications - Bachelor’s Degree or Higher in Cyber Security or related field or Certified Information Systems Security Professional (CISSP) or Certified Information Security Manager (CISM). - 7+ years of relevant experience in threat intelligence, cybersecurity or related fields, including team management experience. - Strong analytical skills and experience identifying, analyzing, and interpreting complex data to uncover patterns and trends in the threat landscape. - Experience setting strategic development goals for the intelligence team and enhancing the intelligence collections strategy. - Managing Priority and Critical Intelligence Requirements (PIR/CIR). - Experience processing, documenting, and managing intelligence from various data sources and platforms. - Experience organizing and maintaining intelligence repositories of technical indicators, intelligence reports, briefings, feeds, etc. - Experience coordinating collection through hunting, vulnerability identification, and response efforts. - Experience developing and managing risk rankings, threat level analysis matrices, and risk based analysis of agency operations. - Experience Implementing, Operating, Leading or Managing Security Information and Event Management (SIEM) and Threat Intelligence Platforms (TIP). - Experience in cyber intelligence and/or counter-intelligence roles with the ability to correlate that to business value. - Ability to understand key security controls and how they factor into assessing overall security risk. - Managing a threat analysis and/or response team, ensuring effective monitoring, detection, and response to cybersecurity incidents. Company Description