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We are seeking an experienced and dynamic Forward Deployed Engineer Manager to lead, mentor, and grow a team of highly skilled Forward Deployed Engineers. This role requires a blend of strong technical leadership, strategic thinking, and hands-on customer engagement (approximately 25% of time) to ensure the successful deployment and adoption of Optimizely's innovative AI products within our enterprise customer base. You will be instrumental in shaping team processes, fostering technical excellence, and driving customer success through cutting-edge AI solutions.
Job Responsibility:
Lead, mentor, and grow a team of highly skilled Forward Deployed Engineers
Recruit, hire, onboard, and continuously develop a high-performing team
Set clear performance expectations, conduct regular 1:1s, provide constructive feedback, and manage performance reviews
Collaborate with leadership to define team goals, roadmap, and priorities
Develop, implement, and refine best practices, methodologies, and tools for efficient and scalable AI solution deployment, integration, and ongoing support
Effectively manage team capacity and allocate resources to customer projects
Serve as a key liaison between the FDE team and Product, Engineering, Sales, and Customer Success teams
Provide architectural oversight, technical guidance, and escalation support for complex customer challenges
Engage directly with key enterprise customers on high-impact or complex AI initiatives, acting as a trusted technical advisor
Participate in the design and validation of intricate AI solutions
Oversee or directly contribute to the most challenging technical deployments
Lead or assist in diagnosing and resolving critical technical issues
Champion AI deployment best practices internally and externally
Requirements:
6+ years in a customer-facing technical role (e.g., Solutions Architect, Implementation Engineer, Solutions Consultant, FDE)
At least 2+ years in a leadership or management capacity, focusing on solutions deployment and integration
Proven experience in building, leading, mentoring, and developing high-performing technical teams
Ability to translate business objectives into technical strategies and actionable plans
Strong understanding and practical experience with RAG architectures and building custom tools/applications for RAG workflows
Strong prompting skills and a deep understanding of best practices for optimizing AI model output
Good programming skills in JavaScript, TypeScript or Python for building integration layers, applications, and automation scripts via APIs
Expertise in interacting with and designing solutions around external systems via public APIs, including complex data flows and authentication
Strong experience in analyzing complex business requirements, translating them into technical solutions, and understanding their impact on business outcomes
Exceptional analytical and problem-solving skills for diagnosing, architecting solutions for, and resolving highly complex technical issues
Great verbal and written communication skills to articulate complex technical and strategic concepts to diverse audiences, including executive stakeholders
A strong customer-centric mindset, with a proven ability to build strategic relationships and drive significant customer success
Ability to quickly adapt to new technologies, product updates, and diverse customer environments, while guiding a team through change
Willingness to travel to customer sites as needed (up to 10%)
Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
Nice to have:
Proficiency in data integration, transformation (ETL), data governance techniques, and data pipeline design for AI solution consumption
Deep practical experience deploying, integrating, and optimizing AI solutions in complex enterprise environments, including understanding data flow and system integration
Significant experience in customer-facing engineering, solutions consulting, or technical pre-sales roles
Familiarity with project management methodologies and tools to oversee multiple concurrent customer engagements