Threat Collections Engineer at Anthropic — Remote North America

About Anthropic

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.

About the Role

We are looking for a Threat Collections 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.

Responsibilities:

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

You may be a good fit if you:

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

Deadline to apply:
None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

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.