Technical Account Manager

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. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world's largest organizations, improving detections, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber.

About the Role

This is the role for the person who understands the world of SecOps teams and Cyber Defence Engineers. You understand why detections fail, why logs arrive late, why queries time out at the worst possible moment, and why investigations stall. You know what's at stake when a security team can't move fast enough.

That understanding is exactly what you'll put to work here.

As a Technical Account Manager at Vega, you sit at the intersection of customer engineering, security operations, and product. You own the post-sales technical relationship for a set of our most important customers, from onboarding through adoption, through the moments that actually matter. In critical situations, you're the person customers call. You help them understand what's happening, why it matters, and what to do next.

This is a hands-on, deeply technical, high-trust role. It's not a support escalation path, it's a strategic one. You'll shape how customers succeed with Vega, and you'll shape Vega's product by bringing the reality of SOC analysts, detection engineers, threat hunters and incident responders back to our R&D and product teams.

What You'll Do

Be the technical and security authority customers trust 

• 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.

Drive real adoption, not just go-lives 

• 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.

Shape the product from the field 

• 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.

Show up in person when it counts 

• Travel to customer sites for key engagements (~25% of the time).

What You'll Bring

• 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.

Bonus Points

• 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).