Director, Machine Learning Engineering

Director – Runtime Intelligence & Personalization 

Overview 

We are seeking a strategic and execution-oriented Director to lead our Runtime Intelligence & Personalization function. This leader will own the vision, strategy, and delivery of intelligent runtime systems that power context-aware, personalized experiences across products and platforms. 

This role sits at the intersection of AI/ML, platform engineering, and product strategy, responsible for building scalable systems that leverage context, memory, and retrieval to deliver differentiated, real-time intelligence. 

Key Responsibilities 

Strategy & Vision 

• Define and execute the roadmap for runtime intelligence capabilities, including context building, memory systems, and RAG-based architectures 

• Translate business and customer needs into scalable, AI-powered personalization strategies 

• Partner with executive stakeholders to align runtime intelligence investments with enterprise priorities 

• Act as a thought leader in shaping next-generation personalization and AI-driven experiences 

Platform & Capability Ownership 

• Lead development of core runtime capabilities: 

• Context orchestration and state management 

• Memory systems (short-term and long-term) 

• Retrieval systems (RAG, knowledge integration) 

• Personalization frameworks 

• Drive design and implementation of high-scale, low-latency systems 

• Ensure systems are secure, observable, and reliable in production environments 

Observability & Optimization 

• Establish observability standards across runtime intelligence systems (latency, quality, accuracy, cost) 

• Define KPIs and metrics to evaluate system performance and business impact 

• Lead continuous optimization of runtime performance, cost, and response quality 

• Implement feedback loops for model and system improvement 

Execution & Delivery 

• Oversee end-to-end delivery of runtime intelligence platforms, ensuring scalability and reliability 

• Drive cross-functional execution across engineering, data science, and product teams 

• Manage prioritization, trade-offs, and execution in a complex, fast-paced environment 

Leadership & Team Development 

• Build, lead, and scale high-performing teams across engineering, ML, and platform functions 

• Develop talent strategy, including hiring, coaching, and organizational design 

• Foster a culture of innovation, accountability, and continuous improvement 

• Lead through senior managers and technical leaders to deliver outcomes at scale  

Cross-Functional Collaboration 

• Partner with Product, Design, Data, and Infrastructure teams to deliver integrated solutions 

• Influence senior stakeholders and drive alignment across competing priorities 

• Communicate complex technical concepts clearly to executive and non-technical audiences 

Qualifications 

Required 

• 10–15+ years of experience in engineering, platform, or AI/ML roles, with significant leadership experience 

• Proven track record building and scaling distributed systems, AI platforms, or personalization systems 

• Deep expertise in areas such as: 

• Retrieval-Augmented Generation (RAG) 

• Context and memory architectures 

• Real-time inference systems 

• Strong business acumen with the ability to translate strategy into execution 

• Demonstrated success leading large, complex, cross-functional initiatives  

Preferred 

• Experience with LLMs, generative AI, and agent-based systems 

• Background in observability, experimentation frameworks, or system optimization 

• Experience operating in high-scale, customer-facing environments 

Core Competencies 

• Strategic Thinking & Vision 

• AI/ML & Platform Leadership 

• Operational Excellence & Execution 

• Cross-Functional Influence 

• Talent Development & Leadership 

• Data-Driven Decision Making