Software Engineer, Cybersecurity Products

Anthropic; Washington; Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Job summary

Anthropic is seeking engineers to join a cybersecurity-focused effort, prototyping and building AI-powered products across the stack. You’ll work with research and product teams to validate ideas, shaping what we build while applying deep software engineering skills to security challenges.

The role emphasizes fast iteration, strong communication, and collaboration across research, product, and GTM functions. Hybrid work in the United States is supported.

Qualifications

• Minimum education: Bachelor’s degree or equivalent
• Minimum years of experience: 7+ years as a software engineer
• Experience developing cybersecurity products is preferred
• Strong communication and cross-functional collaboration skills

Responsibilities

• Prototype and build new AI-powered products for cybersecurity
• Iterate quickly based on customer feedback and learnings
• Collaborate with research teams to identify and develop model capabilities for security applications
• Engage directly with customers and partners to understand workflows and inform product direction

Skills

7+ years software engineering

Cybersecurity product experience

Prototyping & fast iteration

Product instincts

Cross-functional collaboration

Communication skills

AI/ML experience

Education

Bachelor's degree

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’re looking for engineers to join a new effort building AI-powered products and capabilities for cybersecurity. You’ll work across the stack to prototype new ideas and build from the ground up.

This role sits at the intersection of research, product, and go-to-market. You’ll work closely with research teams to develop new model capabilities for security applications, prototype and iterate quickly to validate ideas, and engage directly with customers and partners to inform what we build. The right candidate has the technical depth to engage with research, the product instincts to know what’s worth building, and the drive to move fast.

Responsibilities

• Prototype and build new AI-powered products for cybersecurity

• Iterate quickly based on customer feedback and what you learn

• Collaborate with research teams to identify and develop new model capabilities for security applications

• Engage directly with customers and partners to understand workflows and inform product direction

You may be a good fit if you:

• Have 7+ years of experience as a software engineer

• Experience developing cybersecurity products

• Enjoy fast iteration and are energized by prototyping new ideas

• Have strong product instincts and enjoy defining what to build, not just how to build it

• Are comfortable working closely with research and go-to-market teams

• Have strong communication skills and can work effectively across functions

Strong candidates may also have:

• Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields

• Experience working with AI/ML models and building products on top of them

• Experience building agentic applications

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.

Annual Salary:

$320,000—$405,000 USD

Logistics

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.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you [e-mail] addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings.

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 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.

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. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process.