
11 - 50 employees
🤖 Artificial Intelligence
🔐 Security
🏢 Enterprise
💰 $10M Seed Round on 2023-10
Artificial Intelligence • Security • Enterprise
Lakera is a company dedicated to providing advanced security solutions for Generative AI (GenAI) applications. They focus on protecting enterprises from LLM vulnerabilities, ensuring data privacy, and securing complex AI deployments. Partnered with major tech companies like AWS, Lakera offers products such as Lakera Guard, which enhances AI security by preventing data leakage, handling prompt injections, and offering real-time threat detection. Their services are trusted by Fortune 500 companies and include continuous threat intelligence updates. Lakera also emphasizes compliance and scalability, enabling secure AI integrations across various platforms.
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11 - 50 employees
🤖 Artificial Intelligence
🔐 Security
🏢 Enterprise
💰 $10M Seed Round on 2023-10
Artificial Intelligence • Security • Enterprise
Lakera is a company dedicated to providing advanced security solutions for Generative AI (GenAI) applications. They focus on protecting enterprises from LLM vulnerabilities, ensuring data privacy, and securing complex AI deployments. Partnered with major tech companies like AWS, Lakera offers products such as Lakera Guard, which enhances AI security by preventing data leakage, handling prompt injections, and offering real-time threat detection. Their services are trusted by Fortune 500 companies and include continuous threat intelligence updates. Lakera also emphasizes compliance and scalability, enabling secure AI integrations across various platforms.
• Act as the primary technical point of contact for prospects evaluating our product. Understand their needs and design solutions that align with their infrastructure using our platform. • Partner with Customer Success to ensure customers onboard quickly and realize value from the platform. • Develop and maintain technical documentation and guides to streamline pre-sales and guide post-sales workflows. • Support product configuration and deliver minor technical changes required for prospect and customer implementations. • Feed prospect feedback directly into Product and Engineering, helping shape the roadmap and ensuring the platform evolves with real-world needs. • Lay the foundation for a scalable Solutions Engineering function by building playbooks and repeatable best practices.
• 5+ years of experience as a Solutions Engineer, Sales Engineer, Solutions Architect, or similar role. • A track record of managing relationships with large, complex organizations, preferably with a deeply technical enterprise product. • Proficiency coding in the Python and Javascript ecosystems. • A track record of enabling large scale implementations in at least one of the hyperscalers (AWS,GCP, Azure). Preferred experience with Docker, Kubernetes, and Terraform. • An understanding of and experience navigating security, compliance, and IT processes and requirements when implementing B2B products at large enterprises. • Strong written and verbal communication and interpersonal skills with a comfort presenting in front of customers 1:1, in small groups, and at large conference venues. • A track record of working directly with customers of varying sizes, including large enterprises. • An organized, self-starter approach with an eye for finding creative ways to get projects to the finish line. • A passion for what AI can do for the good of humanity and a desire to ensure that it is implemented in a secure and ethical way. • Comfortable in a small and fast moving startup environment.
• Travel involved for this role
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