Responsibilities:

Become an expert in all Anthropic products Respond to user support cases with a variety of complexity, from questions for individuals to complex API debugging for large businesses Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace Manage on-call tasks for high-urgency user issues with extreme ownership Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you: Have experience in technical product support, including API debugging, preferably in a second tier, escalated, or priority support team Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.) Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user's question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership, and are excited to help us build our team!

Strong candidates may also have: Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams

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You'll build the infrastructure that makes AI-native education real , not as a concept, but as a working system that people interact with every day. You'll own the technical vision for our AI-driven educational experience: the platform layer, enterprise readiness features, the data architecture, the AI-augmented pipelines, the integrations, and the delivery systems.

This is an engineering role for someone who genuinely cares about how people learn. You'll make platform decisions that are deeply educational, and you need the judgment to make those decisions well, not just implement someone else's spec. You'll interface closely with Anthropic's security, infrastructure, and data teams, and you'll partner with trainers and educators on the GTM, devrel, and education teams who will be your primary stakeholders.

The annual compensation range for this role is $300,000-$405,000 USD.

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Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

The ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).

In addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

itertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation

• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success

• Support customers building with both the Claude API and Claude for Work

• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives

• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack

• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases

• Identify common integration patterns and contribute insights back to our Product and Engineering teams

• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building

• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

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This is a role that sits at the intersection of product thinking, service design, and cross-functional influence. You will design, manage, and enable the services that move customers forward at every stage of that journey.

Your responsibilities will include:

• Owning the end-to-end service portfolio for your assigned product area , offer design, pricing, BOM standards, lifecycle management, field enablement, and sunset decisions
• Mapping and continuously refining the complete customer journey for your product area, defining how customers are guided across scaled digital motions, Customer Success Tiers, Professional Services, and Education and Training
• Defining measurable customer outcomes and value anchors for each offering, ensuring every service can clearly articulate what success looks like and how it is verified
• Acting as product manager for your product area tooling requirements into the CX Engineering Platform team , writing requirements, reviewing prototypes, managing a backlog, and conducting UAT
• Partnering with PS Engineers, Customer Success, Project Managers, and Solution Architects to gather field input and translate it into refined or net-new service offerings
• Building and maintaining relationships with stakeholders across the full organizational range , from PSEs and CSMs who deliver your services in the field, through to VP-level PS and CS leadership and C-suite executives
• Collaborating with your peers across the CX Services Portfolio team to design consistent customer experiences and ensure services are properly sequenced across the customer lifecycle
• Creating and maintaining field enablement materials , playbooks, objection handling guides, Highspot pages, talk tracks, and training sessions , for CSMs, CSAs, PSEs, and AEs
• Using AI tools actively in your daily workflow to accelerate research, drafting, synthesis, and requirement writing , and contributing what you learn to the team shared AI practice

To succeed in this role, you will need:

• 7+ years of experience in professional services, customer success, solutions architecture, or product management at a SaaS company
• Demonstrated experience designing or managing service offerings , not just delivering them. You have written a scope of work, defined pricing, and built a delivery kit
• Strong understanding of DevOps, application development, SDLC, or security domains , you do not need GitLab product knowledge on day one, but you need the technical foundation to develop it quickly
• Technical depth sufficient to design credible services. You do not need to have delivered these engagements yourself, but you need to understand them well enough that the practitioners who do will trust your judgment
• Deep familiarity with AI/ML engineering workflows, LLM capabilities, and agentic systems , and the organizational change management required for enterprise AI adoption
• A demonstrated AI-forward working style , you actively use agentic coding and AI tools as part of your daily workflow. You have formed opinions about how these tools change the way you work, and you can walk us through a specific workflow you have built or discovered that materially changed your output quality or speed
• Proven ability to build trust and communicate effectively across the full stakeholder range , individual contributors, managers, directors, VPs, and C-suite , in a remote, async-first environment
• Commercial acumen: fluency in how professional services and subscription services are priced, packaged, and sold in an enterprise context
• Strong written communication skills: you can produce clear, concise, and compelling content that resonates with diverse audiences

If you're passionate about designing and delivering exceptional customer experiences, and you have a strong background in professional services, customer success, or product management, we encourage you to apply for this exciting opportunity.

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Responsibilities: Become an expert in all Anthropic products Respond to user support cases with a variety of complexity Clearly and empathetically communicate with a wide range of user personas Manage on-call tasks for high-urgency user issues Prioritize critically and comfortably adapt to an ever-evolving product landscape Operate in ambiguity, making informed decisions even in never-before-seen situations Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues Suggest and drive improvements to increase user satisfaction through support processes Uplevel our team's technical knowledge by scoping gaps, working with cross-functional partners, and building resources

You may be a good fit if you: Have experience in technical product support, including API debugging Are familiar with APIs and technical SaaS products Have demonstrated an ability to thrive in fast-paced, reactive situations Possess strong user empathy and are expert in the lifecycle of a support case Have crisp but kind written communication skills and a deep care for the details Enjoy helping others learn about new features and complex concepts Experience troubleshooting SSO, SAML, and OAuth authentication flows Are persistent and curious, and enjoy fixing bugs and issues Have experience contributing to the foundations of a support team Are proficient at working in a technical environment and are interested in Anthropic's products Possess a deep sense of ownership and are excited to help us build our team!

Strong candidates may also have: Comfort with command line interfaces and basic scripting Understanding of LLM capabilities, practical applications, and current limitations Familiarity with enterprise networking concepts and IT infrastructure Familiarity with Git workflows and version control concepts SQL proficiency for querying logs and investigating issues Experience supporting government or public sector customers, including familiarity with compliance requirements and security frameworks Background in team lead roles or managing contract/vendor support teams

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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 behaviour.
• 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 behavioural 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 normalise 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 behavioural 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.

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. 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.

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email 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 as it does with computer science.

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