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Manages strategic relationships with cybersecurity services retainer customers, helping them improve preparedness and optimize service investments. Responsibilities include customer success planning, account reviews, service scoping, coordination with Sales and Delivery, documentation, account expansion, and program improvement. The role requires cybersecurity services knowledge, incident response awareness, strong project coordination, senior-level relationship management, communication, workload management, and the ability to use AI technologies to improve business outcomes.

Triage, investigate, and respond to security detections across endpoint, identity, email, network, and cloud environments. Analyze EDR telemetry, logs, forensic artifacts, malware, Microsoft 365 incidents, and network activity to determine compromise scope and recommend remediation. Communicate findings and guidance to customers, improve detection and response processes, and use scripting and AI technologies to streamline investigations. The role requires a 4x10 schedule including one weekend day and is open to US citizens and Green Card holders.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Manage customer onboarding, training, adoption, retention, and growth for the Falcon Shield SaaS security platform. Build trusted relationships with security teams, understand business objectives, create measurable success plans, conduct strategic reviews, demonstrate product value, and advise on SaaS security posture and architecture. Collaborate with Product and R&D teams on customer feedback and feature improvements while using AI technologies to improve workflows and decision-making.

As a Principal Data Engineer, you will design and implement LLM, AI-powered security data platforms, mentor engineers, and drive the adoption of data solutions across teams.

Design, build, and deploy production LLM-based agents from prototype to production. Lead prompt engineering, fine-tuning (LoRA/QLoRA), performance optimization, and scalable, secure deployments. Collaborate cross-functionally to integrate agents into enterprise workflows and ensure AI safety and responsible development.