Threat Intelligence Engineer

We are looking for a Threat Intelligence Engineer to join our Threat Intelligence team. In this role, you will build the infrastructure that powers our threat discovery capabilities-integrating external data sources, developing detection systems for automated lead generation, and creating internal tooling that scales our investigators’ impact.

This is a foundational engineering role on a small, high-impact team. You will take projects from proof-of-concept to production, work closely with investigators to understand their needs, and help scale what may become a multi-person collections function., * Build automated detection systems that use disparate signals to identify abusive behavior.

• Take systems from idea to proof-of-concept to production-grade with appropriate monitoring, documentation, and maintenance processes
• Develop and maintain YARA rule infrastructure, including tools for writing, validating, and testing rules against real data
• Create integrations with external threat intelligence platforms (e.g. VirusTotal, Censys, Urlscan) via MCP servers to enable multi-source correlation during investigations
• Build data pipelines that ingest intelligence from RSS feeds, CTI news sources, and partner sharing, using Claude to extract TTPs and generate targeted hunting queries
• Develop behavioral analytics capabilities using DBT-based frameworks and create searchable audit logging infrastructure
• Establish feedback loops with investigators to tune detection systems and reduce false positives
• Scrape and normalize data from external sources to feed threat detection and enrichment workflows

• Have strong coding proficiency in Python and SQL for building detection logic, data pipelines, and automation
• Have experience with data pipeline orchestration tools (Airflow, DBT, or similar)
• Have familiarity with threat intelligence concepts including IOCs, YARA rules, and threat correlation techniques
• Have experience integrating external APIs and building data ingestion systems
• Can translate investigator needs and workflows into technical requirements
• Are comfortable building v0 systems and iterating based on user feedback
• Have strong communication skills for working closely with non-engineering stakeholders

Strong candidates may also have:

• Experience with threat intelligence sharing frameworks (e.g. MISP, STIX/TAXII)
• Background in cyber threat intelligence, security operations, or abuse detection
• Experience building MCP servers or similar tool integrations for AI systems
• Familiarity with web scraping and data extraction at scale
• Experience with behavioral analytics or anomaly detection systems
• Understanding of LLM capabilities and how to leverage them for automation
• A Top Secret Clearance, Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000-$405,000 USD, Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems., We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.