The Deal Desk Manager will own the end-to-end quote-to-cash process, including deal structuring, pricing governance, and booking accuracy. They will partner with Sales, Finance, and Legal teams to optimize deal cycles and ensure compliance with revenue recognition standards.
You will own post-sales relationships for enterprise customers, driving deployment roadmaps, success plans, and platform adoption. You will also act as a technical advisor, translating customer security priorities into actionable implementation plans while coordinating cross-functional resources.
The Enablement Leader will build and manage training programs, playbooks, and materials to support go-to-market teams in selling and deploying AI security products. They will act as a central connector between Sales, Customer Success, and Product teams to ensure consistent messaging and effective feedback loops.
The Solutions Architect will lead technical discovery sessions and design end-to-end security architectures for enterprise customers. They will act as a technical bridge between sales, product, and R&D teams to ensure successful platform implementation and value delivery.
Lead field marketing and regional campaign execution across EMEA and APAC to drive pipeline generation and acceleration. Plan and execute end-to-end regional events and adapt global messaging for local market relevance.
You will drive new business growth by building a regional account strategy and closing strategic enterprise deals. You will collaborate with leadership, channel partners, and cross-functional teams to expand the company's footprint in the AI security market.
You will be responsible for building and scaling the GSI partnership motion from scratch, including recruiting top-tier partners and establishing executive-level relationships. You will drive field alignment between enterprise sellers and GSI teams to generate joint pipeline and revenue.
You will own strategic post-sales relationships for enterprise customers, guiding them through their AI security and governance journey. This involves driving product adoption, identifying new use cases, and coordinating cross-functional teams to ensure measurable business value.
The Customer Success Engineer will lead technical execution for post-sales engagements, translating customer use cases into reliable configurations and operational workflows. They will provide hands-on guidance for deployments, integrations, and automation while collaborating cross-functionally to drive technical adoption.
The Head of Product Marketing will define the company's positioning and messaging while building and leading the product marketing function. They will partner with Product, Sales, and Demand Gen teams to execute product launches and drive competitive strategy.
You will own strategic post-sales relationships for enterprise customers, guiding them through their AI security and governance journey. This involves driving product adoption, identifying expansion opportunities, and coordinating cross-functional teams to ensure customer success.
You will lead the technical execution of customer deployments, translating complex use cases into reliable configurations, integrations, and operational workflows. Additionally, you will provide hands-on guidance and technical support to ensure customers successfully embed the platform into their security and operational processes.
Lead the technical pre-sales process by driving discovery, solution mapping, and executing end-to-end proof-of-concepts for enterprise customers. Partner with Account Executives to deliver tailored demos and translate business needs into technical AI security solutions.
The Senior Security Researcher will investigate vulnerabilities in AI models and develop proof-of-concepts to demonstrate security threats and defenses. They will also collaborate with engineering and product teams to translate research into practical protections and features.
You will own key parts of our frontend stack and lead the development of UI components and cross-functional features. Your role will involve collaborating with various teams to create beautiful, fast, and secure user experiences.
The role involves performing AI-focused vulnerability research and leading red teaming against AI systems. Additionally, the researcher will build customer-facing proof-of-concepts that align with customer use cases.
