Technical Customer Success

• In today's world, where data spreads across various clouds and devices, traditional security measures aren't enough. Businesses need a dynamic approach to defend against constant cyber threats and ensure agile data security. Fortanix leads the way in data-centric cybersecurity for hybrid multicloud environments, using advanced cryptography, encryption, and confidential AI solutions.
• As data breaches become more frequent and traditional defenses fall short, we focus on data exposure management to keep your information safe. Our unified data security platform addresses vulnerabilities in hybrid multicloud environments, defends against threats, and makes it easier to discover, assess, and fix data exposure risks. Whether implementing a Zero Trust model or preparing for the post-quantum computing era, we help businesses worldwide protect their most sensitive data, wherever it is.
• Our commitment to solving the world’s toughest data security challenges has earned Fortanix multiple Cybersecurity Excellence and Innovation Awards, as well as recognition from industry giants such as NVIDIA, Microsoft, Intel, ServiceNow, and Snowflake.
• Our team includes industry leaders and cryptography experts, creating a culture of trust, innovation and collaboration where every voice is valued. Recognized as a Great Place to Work, we're looking for passionate individuals to help us shape the future of data security and work towards a safer digital future.
• At Fortanix, we are redefining what cloud security means. Our customers use our software platform to build and run software much more securely than was previously possible. We are seeking Customer Success Engineers who will help deploy, implement, upgrade and optimize the Fortanix platform. You will be a key technical advisor responsible for expanding the depth and breadth of Fortanix solutions with your customers to ensure long term success. **This position requires a mixture of excellent project management, problem solving, troubleshooting, analytical and strong technical skills. The ideal candidate will be comfortable interacting with customers at all levels, working with our engineering teams and driving technical workstreams. Success will be measured by customer's product usage and adoption, renewal and expansion
• You will:
• - Participate and lead technical design workshops with customers
• - Design, Configure and Implement our platform
• - Customer training and enablement
• - Drive product adoption and usage
• - Ensure customers are wildly successful and renewing and referenceable
• - Troubleshoot and resolve production issues
• - Stay current with the latest tools and methodologies; share knowledge by clearly articulating results and ideas to key decision makers
• - Be the voice of the customer with engineering, product management and rest of the company

Customer Success Engineer

• Design, build, and optimize AI agents using advanced prompt engineering techniques.
• Create structured workflows and decision trees that guide AI agent behavior.
• Use LLMs such as GPT-4o, Gemini, Claude, Llama etc., to build, test, and refine agents.
• Implement function-calling / tool-calling capability within prompts using simple UI builders.
• Configure constraints and guardrails to reduce hallucinations and ensure reliable outputs.
• Work directly with customers to understand business needs, use cases, workflows, and integration requirements.
• Translate customer requirements into technical implementation plans.
• Assist in onboarding, deployment, and testing of AI solutions for customer environments.
• Provide ongoing optimization and support to ensure solution adoption and success.
• Build, maintain, and optimize automation workflows using platform workflow builders.
• Integrate agents with customer tools, APIs, CRMs, or communication platforms where needed.
• Troubleshoot workflow, configuration, or data issues during implementation.
• Create high-quality conversation flows for AI agents, ensuring clarity, tone, and brand alignment.
• Apply AI conversation design principles to improve user satisfaction and agent performance.
• Use basic Python for data handling, API interactions, testing, or workflow extensions.
• Work with GenAI technologies, SaaS tools, and no-code/low-code integration platforms.
• Perform evaluation and tuning of AI prompts, workflows, and agent performance.
• Work with product teams to relay customer feedback and improve platform features.
• Maintain clear documentation for workflows, prompts, integrations, and customer implementations.
• Train customers and internal teams on product capabilities and best practices.

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