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At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.
We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.
At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.
Join us and become part of a company that's empowering people to unlock their digital potential!
To get a sneak peek into our culture, find us on Instagram: @optimizely Introduction The customer-focused Senior Forward Deployed Engineer will be the technical bridge between Optimizely's innovative AI products and our enterprise customers. They will leverage deep technical expertise and communication skills to design, build, and deploy AI-driven solutions that seamlessly integrate with Optimizely's platforms, enabling customers to harness the power of AI. Job Responsibilities · Customer Consultation & Solution Design: Collaborate with customers to understand AI use cases, data needs, and integrations, assisting in translating objectives into technical plans leveraging Optimizely AI (Opal).
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
· Lead Technical Deployments: Participate in the configuration and deployment of Optimizely AI (Opal), interacting with Optimizely products and customer tech stacks via public APIs.
· Develop Custom Tools & Integrations: Support in the design and build of custom applications or connectors for AI workflows, especially Retrieval Augmented Generation (RAG), using Optimizely APIs and pre-trained AI models.
· Technical Troubleshooting & Optimization: Perform troubleshooting, debugging, and performance optimization for deployed AI solutions to ensure stability and efficiency.
· Technical Training & Enablement: Support workshops and knowledge transfer for customer teams to effectively use, manage, and extend Optimizely AI (Opal).
· Cross-Functional Collaboration: Collaborate effectively with Optimizely's Product, Engineering, and Customer Success teams to provide feedback and ensure alignment.
· Best Practices & Advocacy: Apply AI deployment best practices, understanding customer needs and aligning with Optimizely's product capabilities. Knowledge and Experience Experience: 3+ years in a customer-facing technical role (e.g., Solutions Architect, Implementation Engineer, FDE) with a focus on software deployment and integration.
· Retrieval Augmented Generation (RAG): Familiarity with RAG concepts and experience with building tools/applications for RAG workflows (e.g., interacting with vector databases, embedding services, prompt engineering).
· Prompting Proficiency: Good understanding of prompting principles and best practices for optimizing AI model output.
· Programming Proficiency: Programming skills in JavaScript, TypeScript, Python for building integration layers, applications, and automation scripts via APIs.


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· API & System Interaction: Proficiency in interacting with external systems via public APIs, including CRUD operations.
· Business Analysis: Experience in analyzing business requirements and translating them into technical solutions.
· Problem-Solving: Strong analytical and problem-solving skills for diagnosing and resolving complex technical issues.
· Communication: Strong verbal and written communication skills to articulate complex technical concepts to diverse audiences.
· Customer Focus: Customer-centric mindset, with ability to build rapport and contribute to customer success.
· Adaptability: Ability to quickly adapt to new technologies, product updates, and customer environments
Preferred Skills: • Data Integration: Proficiency in data integration, transformation (ETL), and data governance techniques for AI solution consumption. • Optimizely Product Knowledge: Experience with Optimizely products (CMS, CMP, Web Experimentation, Feature Experimentation, ODP). • AI Deployment Expertise: Familiarity with AI solution deployment and integration in enterprise environments, including understanding data flow and system integration. • Consulting Experience: Exposure to customer-facing engineering, solutions consulting, or technical pre-sales roles. Education Bachelor's or Master's degree in Computer Science, Engineering, or related technical field. Competencies Adapting to ChangeChampioning Customer NeedsCommunicating EffectivelyWorking with AmbiguityOptimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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