Cyber Forward Deployed Engineer - Manager
Role Overview
Lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering.
Lead teams, shape deals, scale delivery practices, and build long-term client and team capability.
Key Skills for This Role
Full Job Posting
Role Overview
Lead delivery of cybersecurity and AI-enabled solutions at the intersection of client engagement and hands-on engineering.
Lead teams, shape deals, scale delivery practices, and build long-term client and team capability.
Solution Delivery and Engineering
- Translate business and cybersecurity needs into high-quality technical solutions, including AI or GenAI-enabled capabilities, and deploy them for clients.
- Identify, troubleshoot, and resolve technical issues within scope.
Pre-Sales and Deal Shaping
- Partner with stakeholders to shape technical solutions during pursuits through demos, proofs of concept, and prototypes.
- Contribute to solution design, technical win strategy, pricing inputs, and effort estimates aligned with feasibility and commercial viability.
Customer Delivery Leadership
- Own customer satisfaction, manage expectations, delivery quality, and outcomes, and address escalations.
- Ensure delivery aligns with scope, timelines, and cost estimates while managing deviations and protecting margins.
- Optimize team structure, utilization, and effort allocation across engagements.
Product Feedback and Improvement
- Translate delivery learnings into reusable product or platform improvements.
- Enable client teams through knowledge transfer, clear documentation, and practical runbooks.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
- 8+ years of full-stack development, frontend and backend technologies, databases, APIs, microservices, serverless architecture, cloud delivery, Docker, CI/CD, and lifecycle tools.
- At least 1 year building and deploying GenAI or LLM-powered solutions in client or production environments.
- At least 1 year with Anthropic, Google, or OpenAI GenAI platforms and listed products.
- 8+ years of technical solutioning, scope definition, effort estimation, senior client engagement, and technical communication.
- Travel up to 20% on average is required.
Preferred Qualifications
- Anthropic experience or certification is strongly preferred.
- Cybersecurity, DevSecOps, secure SDLC, search, graph database, Kubernetes, GitOps, cloud certification, and ML framework experience is preferred.
Compensation
- Estimated annual wage range is $155,600 to $306,800.
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