Director, Machine Learning Engineering

Director Runtime Intelligence & Personalization

Overview

We areseekinga 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 thatleveragecontext 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

• 1015 years of experience in engineering platform or AI/ML roles with significant leadership experience

• Proventrack recordbuilding and scaling distributed systems AI platforms or personalization systems

• Deepexpertisein 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

• Experienceoperatingin 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