Senior Specialist, Solutions Engineering

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September 10

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Teleport

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Cybersecurity • SaaS • Compliance

Teleport is a global provider of modern access platforms for infrastructure. It specializes in improving the efficiency of engineering teams while fortifying infrastructure against bad actors or errors and simplifying compliance and audit reporting. The Teleport Access Platform offers on-demand, least privileged access to infrastructure based on cryptographic identity and zero trust principles, with built-in identity security and policy governance. Teleport's solutions integrate with protocols like SSH, Kubernetes, and databases, ensuring secure access to clouds, data centers, and other resources. The platform caters to industries with complex infrastructure access needs, such as e-commerce, entertainment, financial services, and SaaS providers, emphasizing compliance with standards like FedRAMP, SOC 2, and HIPAA.

51 - 200 employees

🔒 Cybersecurity

☁️ SaaS

📋 Compliance

📋 Description

• Help the sales team drive revenue growth by evangelizing Teleport technology via demos and technical discussions. • Collaborate with infrastructure engineering teams at customer organizations. • Support customers exploring AI/MCP use cases, including secure infrastructure for training and inference workloads. • Advise on protecting sensitive datasets and tool endpoints with Teleport’s identity-based controls. • Position Teleport to eliminate API keys and static tokens in AI pipelines through certificate-based identity. • Work closely with sales reps and founders to address business challenges. • Deliver demonstrations and engage with customers through their evaluation of Teleport. • Assist across go-to-market activities: marketing collateral, product positioning, customer interviews, sales cycle optimizations, conferences, meetups, brand evangelism.

🎯 Requirements

• 5–10 years of experience in pre-sales engineering, solutions architecture, or a highly technical customer-facing role. • Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale. • Experience with Kubernetes • Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements and shortcomings. • Ability to engage both technical and executive stakeholders with credibility and clarity. • Experience with using/configuring/debugging Linux machines and Network issues. • Strong Knowledge of at least one cloud computing platform • Proven ability to develop scripts and automation using Linux Shell, Go, and Infrastructure as Code • Strong understanding of system architecture, provisioning, and administration

🏖️ Benefits

• Extensive health coverage • Annual expense budget • Rest & recovery policies that maximize leave and your ability to recharge • Investment in your future with retirement savings plans • Equity in a US $1.1-bn business • Professional development opportunities • Autonomy and decision-making authority • Support from senior team and collaborative smart team • Flexible interview project timeline • Annual expense budget