Senior Forward Deployed Engineer – Enterprise

Accountabilities

• Work directly with customer engineering, security, and platform teams to understand system architectures, technical constraints, workflows, and operational requirements.
• Design, develop, and implement integrations between the AI security platform and customer systems, APIs, data pipelines, and runtime environments.
• Translate complex enterprise requirements into practical proofs of concept, deployment strategies, and production-ready architectures.
• Serve as the primary technical owner for customer deployments, identifying, diagnosing, scoping, and resolving issues across diverse customer environments.
• Build and extend backend services, integration components, and engineering tools that support secure and reliable deployment.
• Ensure deployed solutions meet enterprise standards for reliability, security, observability, scalability, and maintainability.
• Develop proofs of concept quickly to validate technical feasibility, demonstrate customer value, and inform implementation decisions.
• Iterate on solutions based on customer feedback, operational insights, and evolving technical requirements.
• Balance speed of delivery with long-term maintainability, sound engineering practices, and consistency with the broader platform.
• Partner with Sales, Product, and core Engineering teams to coordinate technical delivery, resolve blockers, and achieve successful customer outcomes.
• Communicate technical findings, architectural tradeoffs, implementation risks, and recommendations clearly to customers and internal stakeholders.
• Take end-to-end ownership of complex technical challenges in fast-moving, customer-facing environments where security, reliability, and trust are essential.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
• Hands-on experience building and deploying production-grade software systems.
• Strong background in backend or full-stack software engineering, including designing and implementing APIs, services, and system integrations.
• Proficiency in Python and at least one systems-oriented or backend programming language, such as Go, Java, C++, or Rust.
• Familiarity with cloud-native architectures and distributed systems, including experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.
• Experience working in ambiguous, fast-paced environments and taking ownership of technical outcomes from discovery through deployment.
• Confidence working directly with customers and external stakeholders to understand requirements, communicate tradeoffs, and deliver technical solutions.
• Ability to diagnose complex integration issues, develop practical solutions, and adapt to changing customer and operational needs.
• Strong collaboration, communication, problem-solving, and technical judgment, particularly in high-stakes customer environments.
• Understanding of security fundamentals, including authentication, authorization, monitoring, and secure system design.

Preferred

• Experience with data pipelines, event-driven systems, or service-oriented architectures.
• Experience deploying or integrating enterprise software directly into customer environments.
• Background in security engineering, infrastructure engineering, or platform engineering.
• Familiarity with AI systems, machine-learning-enabled products, or AI security concepts; building AI models is not required.
• Experience in forward-deployed engineering, technical consulting, technical pre-sales, or other customer-facing engineering roles.
• A proactive, curious, and adaptable mindset, with a commitment to building reliable, secure systems and solving challenging technical problems.

Benefits

• Base salary: $175,000–$220,000.
• Competitive equity package.
• Annual 401(k) matching of up to 4%.
• 28 days of annual leave, including vacation and holidays.
• Health, dental, and vision coverage.
• Flexible work arrangements.
• Visa sponsorship available for exceptional candidates.
• Opportunity to take ownership of high-impact engineering projects and work with globally recognized customers.
• Collaborative work with customer teams and internal Sales, Product, and Engineering specialists in a growing AI security environment.