Threat Intelligence Engineer

Anthropic; San Francisco (CA); On-site; USD 300,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Generous vacation and parental leave

Optional equity donation matching

Job summary

A pioneering AI safety company in San Francisco is looking for a Threat Collections Engineer to enhance threat intelligence capabilities. This role focuses on building automated detection systems, integrating various data sources, and collaborating with investigators to scale threat discovery efforts. Ideal candidates will have strong proficiency in Python and SQL, a bachelor's degree, and familiarity with data orchestration tools. Competitive salary and hybrid work options available.

Qualifications

• Strong coding proficiency in Python and SQL.
• Experience with data pipeline orchestration tools.
• Familiarity with threat intelligence concepts including IOCs and YARA rules.

Responsibilities

• Build automated detection systems to identify abusive behavior.
• Develop and maintain YARA rule infrastructure.
• Create integrations with external threat intelligence platforms.

Skills

Python

SQL

Data pipeline orchestration

Threat intelligence concepts

API integration

Strong communication skills

Education

Bachelor's degree in a related field

Tools

Airflow

DBT

Job description

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.

Annual Salary

$300,000—$405,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day.

How We're Different

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 working on smaller, 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.

Come work with us!

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.