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This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.
The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.
What Youll Do:
Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

We are looking for a dynamic, high-performing team player who thrives in fast-paced environments to join our Customer success team. If you are experienced with online marketing solutions, enjoy communicating, helping others and providing long-term solutions to your customers, then this is the role for you.

The Scaled Customer Success Team is the trusted advisor for building relationships, driving product adoption, and empowering customers to fulfill their marketing goals. By being experts of the platform, we are able to provide a unique level of consultation and inspiration to our customers. We are an energetic, empathetic and passionate team that enjoys teamwork and taking on new challenges in this dynamic environment.

This CSM role focuses on scalability. Scale CSMs engage with customers through both 1:1 interactions for high-touch objectives and 1-to-many (1:N) success programs that drive impact across target customer segments. The team leverages robust customer data to identify opportunities to deliver greater value through broader and more advanced use of our products.

Responsibilities:
Identify, design and achieve the customer's goals in a short-term relationship
Act as a consultant when it comes to analytics, and grow clients usage of the platform.
Work closely with our developers and technical teams to ensure customer satisfaction.
Contribute ideas and practical solutions to ensure customers contentment.
Continuous improve and actively contribute to the processes and procedures of the team.
Represent the voice of the customer and influence product development roadmap.

You will architect and build a scalable data platform from scratch, engineering high-throughput, low-latency pipelines that drive real-time security analytics and AI-powered systems. As a key member of the Data & AI Algorithms group, you will collaborate with AI/ML engineers, data scientists, and security researchers to design production-grade infrastructure at scale.
This role requires strong ownership, systems thinking, and the agility to operate in a fast-moving environment.
What Youll Do:
Build ML infrastructure to support scalable, low-latency production deployment of data & AI models.
Ensure availability, reliability, and performance of mission-critical data infrastructure
Define and promote best practices for data modeling, orchestration, CI/CD, and infrastructure-as-code
Collaborate cross-functionally to enable data-driven product capabilities

As Global Privacy & Compliance Counsel, you will serve as the in-house owner and go-to expert for all privacy and compliance matters.

This is a highly cross-functional role, working as part of the Legal & Compliance team, closely with Sales, Product, R&D, CS & Security teams.

The role is designed for someone who can operate independently, proactively identify gaps, extract and organize knowledge across teams, and translate complex privacy/data, compliance and regulatory requirements into practical solutions that support business execution and accelerate deals.

The position requires an in-house and business-oriented mindset, strong ownership, and the ability to lead initiatives end to end.

This role offers a unique opportunity to shape and lead privacy and compliance frameworks in a fast-growing global organization, with real impact on business outcomes, customer trust, and long-term scalability.

Key Responsibilities:
Own and manage the companys global privacy and compliance framework, including policies, templates, processes, and ongoing updates.
Serve as an expert on all privacy/date compliance requirements, and regulatory framework.
Review, draft, and negotiate privacy-related agreements with customers and vendors.
Work closely with Product, R&D, Data, R&D, CS & Security teams to understand data flows and systems.
Provide day-to-day privacy and regulatory compliance support to Sales and customer-facing teams.
Enable faster deal execution by offering pragmatic, risk-aware solutions
Support negotiations with customers and partners on privacy and data protection topics.
Drive the organization toward increased compliance maturity and long-term readiness.
Build scalable processes that support growth while maintaining strong compliance standards.

We are seeking a highly skilled Senior Product Manager to drive platform integration strategy. This key role requires leading the integration of our platform with all major AI, generative AI, cloud, network, identity, and endpoint platforms. The successful candidate must have a deep technical background, be hands-on, and will be responsible for developing and owning the comprehensive integration roadmap essential for product portfolio. This includes close collaboration with other Product Managers, partners, and customers to execute the company's platform integration strategy.
product management is viewed as an engineering discipline. It involves developing a deep understanding of the true nature of customer pain points, considering their ability to act based on process, people, and technology. Simultaneously, it requires an awareness of the company's current capabilities and a vision for where the company and product need to be to truly empower the market to protect AI Agents. This is an excellent opportunity to take ownership of the product life cycle in a fast-paced startup environment.
Lead the integration of the platform with key AI and generative AI technologies, in addition to the Enterprise ecosystem.
Report directly to the Director of Product Management, offering you the opportunity to lead a strategic part of the broader platform and create clarity that enables our customers to integrate business development within the platform.
Define features and own their backlog, working closely with engineering, research, and product marketing teams to align on trade-offs and drive successful delivery.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.

Were seeking a Senior Security Researcher to drive end-to-end research initiatives that strengthen detection capabilities. In this role, youll investigate emerging attack surfaces, craft and implement innovative detection logic, and test your findings in real-world environments. Its a hands-on position ideal for someone eager to transform research insights into effective, production-grade security defenses.
Responsibilities:
Research AI Agent and LLM-related risks, such as prompt injection and jailbreaking and implement sophisticated detection strategies.
Conduct research on cloud, web, and API security to uncover new threats and attack vectors.
Develop, refine, and design world-class detection logic and rules to enhance runtime protection.
Perform threat-hunting activities across large data sources to identify emerging attack patterns
Drive full-cycle research: from hypothesis and experimentation to production validation.
Collaborate with engineering and product teams to deliver actionable insights.