Forward Deployed Engineer

We're not here to add to the noise. We're here to cut through it—with AI that actually works for marketers. From AI-powered content creation to a world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers want to use. Over 10,000 brands, including H&M, PayPal, and Zoom, rely on us, and leading analysts like Gartner, Forrester, and IDC consistently recognize us as leaders in MarTech.

Building great products takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We value real conversations, big ideas, and genuinely care about the work we create together.

About the role

The customer-focused Senior Forward Deployed Engineer will act as the technical bridge between Optimizely's innovative AI products and our enterprise customers. You’ll leverage deep technical expertise and communication skills to design, build, and deploy AI-driven solutions that integrate seamlessly with Optimizely’s platforms, enabling customers to harness the power of AI.

Responsibilities

• Collaborate with customers to understand AI use cases, data needs, and integrations, translating objectives into technical plans leveraging Optimizely AI (Opal).
• Lead technical deployments, including configuration and deployment of Optimizely AI (Opal), interacting with Optimizely products and customer tech stacks via public APIs.
• Design and build custom applications or connectors for AI workflows, especially Retrieval Augmented Generation (RAG), using Optimizely APIs and pre-trained AI models.
• Perform troubleshooting, debugging, and performance optimization for deployed AI solutions to ensure stability and efficiency.
• Support workshops and knowledge transfer for customer teams to effectively use, manage, and extend Optimizely AI (Opal).
• Collaborate cross-functionally with Optimizely’s Product, Engineering, and Customer Success teams to provide feedback and ensure alignment.
• Apply AI deployment best practices, understanding customer needs and aligning with Optimizely’s product capabilities.

Requirements

• 3+ years in a customer-facing technical role (e.g., Solutions Architect, Implementation Engineer, Forward Deployed Engineer) with a focus on software deployment and integration.
• Familiarity with Retrieval Augmented Generation (RAG) concepts and experience building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services, prompt engineering).
• Proficiency in prompting principles and best practices for optimizing AI model output.
• Programming skills in JavaScript, TypeScript, or Python for building integration layers, applications, and automation scripts via APIs.
• Proficiency in interacting with external systems via public APIs, including CRUD operations.
• Experience analyzing business requirements and translating them into technical solutions.
• Strong analytical and problem-solving skills for diagnosing and resolving complex technical issues.
• Strong verbal and written communication skills to articulate complex technical concepts to diverse audiences.
• Customer-centric mindset with the ability to build rapport and contribute to customer success.
• Ability to quickly adapt to new technologies, product updates, and customer environments.

Preferred Skills

• Proficiency in data integration, transformation (ETL), and data governance techniques for AI solution consumption.
• Experience with Optimizely products (CMS, CMP, Web Experimentation, Feature Experimentation, ODP).
• Familiarity with AI solution deployment and integration in enterprise environments, including understanding data flow and system integration.
• Exposure to customer-facing engineering, solutions consulting, or technical pre-sales roles.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

Pay

Total target compensation range: $103,000–$175,000. Optimizely considers several factors when extending an offer, including role responsibilities, work experience, education/training, and key skills.