[Remote] Technical Account Manager

Note: The job is a remote job and is open to candidates in USA. Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for SecOps and SOC teams. As a Technical Account Manager, you will manage the post-sales technical relationship with key customers, ensuring their success and satisfaction with Vega's products while also providing valuable feedback to the product and engineering teams.

Responsibilities

• Own the post-sales technical and security relationship for a portfolio of customers, acting as their primary trusted advisor
• Lead onboarding and implementation, data indexing, detection onboarding and tuning, environment configuration, end to end
• Diagnose and resolve complex issues across log pipelines, cloud integrations, detections, automations and permissions
• Partner directly with customer security teams, cloud engineers, and security leadership during investigations and escalations
• Assist customers with building custom AI skills within the Vega platform to solve their pain points
• Conduct technical health checks and lead business reviews with a bias toward action
• Monitor customer health proactively, identify risks early, and intervene before they become problems
• Help customers unlock the full value of Vega, not just check a deployment box
• Work directly with Vega's engineering and product teams to escalate issues and push them toward resolution
• Translate what you see in the field, real patterns, real friction, real gaps, into product influence
• Be the voice of the customer in rooms where roadmap decisions actually get made
• Advocate for the shift in the industry towards agentic detections and leveraging AI skills to solve security teams' pain points
• Travel to customer sites for key engagements (~25% of the time)

Skills

• 6+ years in a technical, customer-facing role (TAM, Customer Engineer, Senior Support, or similar)
• Hands-on experience with SIEM or observability platforms, Splunk, Elastic/ELK, Microsoft Sentinel, or equivalent
• You've actually used these tools for incident investigation, threat hunting, or application troubleshooting, not just sold them
• Strong cloud fundamentals across AWS, Azure, and/or GCP Infrastructure-as-Code experience (Terraform or similar)
• Scripting skills in Python and/or Bash
• Comfortable troubleshooting distributed systems, data pipelines, and query performance
• Equally fluent talking to engineers and executive stakeholders
• Startup or high-growth experience, you know how to move fast and make calls without a perfect playbook
• You make progress where others stall. You navigate ambiguity with curiosity, not paralysis. You know when to go heads-down and when to loop in the right person, and you do it without being asked
• Background in a SOC, Security Engineering, Incident Response, or Threat Hunting role
• Experience implementing or supporting SIEMs at scale
• Familiarity with KQL (Kusto Query Language)

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