Forward Deployed Engineer - AI SOC

• Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience

The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location.

Why AHEAD:

Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between.

We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning.

• 5+ years of experience in security engineering, platform engineering, forward deployed engineering, solutions engineering, or related technical roles
• Hands-on experience implementing and operating modern SOC technologies such as SIEM, XDR, and SOAR
• Experience deploying cloud-native architectures on at least one major cloud provider such as AWS, Azure, or GCP
• Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows
• Experience working directly with customers, internal stakeholders, or cross-functional delivery teams in implementation-focused environments
• Ability to lead technical engagements, drive execution, and influence outcomes without direct authority
• Experience in MSSP, MDR, XDR, or other security service delivery environments
• Experience deploying solutions in regulated or compliance-sensitive environments
• Familiarity with infrastructure as code, CI/CD workflows, and production software delivery practices
• Experience building reusable implementation frameworks or field engineering playbooks
• Relevant certifications are a plus, including cloud, security, or platform-specific certifications
• Strong understanding of security operations, detection and response, cloud security, identity security, and endpoint security
• Experience with scripting and automation using tools such as Python, PowerShell, or Bash
• Familiarity with APIs and integration patterns including REST, webhooks, and event-driven workflows
• Working knowledge of AI and ML concepts relevant to SOC use cases, including anomaly detection, behavior analytics, LLMs, vector search, and AI assistants
• Experience with security data and analytics platforms such as Kafka, Kinesis, Pub/Sub, Spark, Databricks, BigQuery, Snowflake, or similar technologies is a plus
• Strong problem-solving skills, execution mindset, and ability to operate effectively in ambiguous, fast-moving environments