[Hiring] Senior Solutions Engineer @Teleport

Role Description

As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will collaborate with infrastructure engineering and security teams at sophisticated technology companies, helping them solve problems and get exposed to the latest ideas in technology.

• Partner with Account Executives and Account Managers to expand technical discovery and map Teleport’s capabilities to customer initiatives.
• Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security.
• Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders.
• Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls.
• Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines.
• Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads.
• Provide structured feedback to Product and Engineering on feature gaps and market needs.
• Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security.
• Support channel and technology partners with technical enablement.
• Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc.
• Listen deeply and perceive feedback as an opportunity to improve.
• Demonstrate a high level of empathy, resilience, and humility.

Qualifications

• 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps, or a highly technical customer-facing role.
• Experience with using/configuring/debugging Linux machines and network issues.
• Strong understanding and experience with Kubernetes, including hands-on troubleshooting.
• Strong knowledge of at least one cloud computing platform.
• Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles).
• Advanced understanding of identity security and modern Zero Trust security approaches.
• Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools.
• Strong understanding of system architecture, provisioning, and administration.
• Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements.
• Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues.
• Ability to engage both technical and executive stakeholders with credibility and clarity.
• Strong presentation, demo, and white-boarding skills.

Benefits

• Extensive health coverage.
• Annual expense budget.
• Rest and recovery policies that maximize your ability to recharge.
• Investment in your future with retirement savings plans.
• Professional development opportunities.