Manager, Software Engineering - Personalization Platform at LinkedIn3

This role will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. You will lead the team responsible for building and evolving LinkedIn’s personalization platform – the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers. The personalization platform your team builds will make every interaction on LinkedIn more relevant, valuable, and effective – enabling members to discover the right opportunities, connect with the most meaningful people and content, and helping enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, the platform will help members be more productive and successful while enabling organizations to achieve their business goals more efficiently. You will guide the design and development of scalable, intelligent systems that support personalization at both the member and enterprise level, including real-time decisioning, contextual understanding, and adaptive user experiences. The systems your team builds will empower LinkedIn’s product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity. Responsibilities: • You will manage the performance and career development of a team of software engineers to design, build, and scale the personalization platform powering LinkedIn’s product ecosystem. • You will be a role model and professional coach for engineers with a strong bias for action and focus on craft. • You will partner closely with AI, data science, product, and infrastructure teams to define and execute the long-term technical roadmap for personalization, experimentation, and growth. • You will architect and scale distributed systems and services that power real-time personalization, contextual decisioning, and fast experimentation across all LinkedIn products. • You will build robust experimentation frameworks that enable rapid iteration and evidence-based product development, partnering with growth teams to accelerate learning velocity. • You will evolve the platform to leverage the latest in AI, machine learning, large language models (LLMs), and intelligent agents to deliver increasingly adaptive, context-aware experiences. • You will collaborate with product and design partners to ensure personalization systems help members achieve their professional goals and improve enterprise productivity outcomes. • You will champion engineering excellence by setting high standards for system design, reliability, and developer productivity. • You will collaborate with senior leadership to align platform strategy with product goals and drive measurable business impact. • You will hire, grow, and retain top engineering talent, fostering a culture of innovation, technical excellence, and inclusion.