Manager, Engineering - AI Search Platform

Approximately 19,500 weekly active users, more than double year over year 13.5 million API calls per day, up 97% year over year 233 production indices containing 13.3 billion documents, with index count up 74% year over year More than 200 client applications consuming the search API, more than double year over year Build a stronger discipline around impact. Collaborate closely with Knowledge Foundations and the broader CEF organization to align roadmaps across Graph Search, Entity Graph, Data Dictionary, Unified Data Architecture, and Communications Platform, so stakeholders experience a coherent set of capabilities rather than adjacent products. Build trusted relationships with partners and stakeholders, connect opportunities across teams to maximize business impact, and prioritize work beyond the boundaries of your immediate domain when it benefits the broader organization. Build and nurture an inclusive team culture where every team member feels empowered, respected, and able to contribute at their best. Experience building and operating highly reliable platform systems that support large-scale, business-critical use cases, including 24x7 on-call responsibilities and highly available, low-latency services. Strong technical acumen in distributed systems, with the ability to move between implementation details and broader architectural strategy. You will represent the team's technical decisions credibly, evaluate assumptions, and maintain strong engineering standards. Experience building and leading inclusive teams. Ability to attract and retain talent, ensure diverse perspectives inform decisions, and foster a culture of accountability where individuals take ownership while contributing to the team's collective success. Ability to create an environment of open, direct communication where team members feel comfortable giving constructive feedback, recognizing strong performance, and addressing areas that need improvement. Strong long-term strategic thinking and a platform mindset, with the ability to define and articulate a clear product and technical vision and connect it to the broader objectives of the organization. Ability to prioritize strategically, align the team's investments with larger business goals, and change direction when new evidence or broader impact warrants it. Rigor in decision making and the ability to reduce ambiguity through the right combination of data, stakeholder input, constructive dissent, and targeted experiments or pilot investments. Experience working effectively with product managers and TPMs, building trust and collaborating on both strategic vision and project execution. Strong partnership and influencing skills across engineering partners and stakeholders, including demonstrated ability to collaborate effectively across globally distributed teams and time zones. A track record of helping teams deliver critical priorities reliably amid competing demands, while partnering with product and engineering leaders to shape where investment should go. Fluency with AI-assisted engineering and a clear point of view on how engineering teams should adopt it safely at scale, including thoughtful practices around review, testing, change risk, and engineering quality. Experience building scalable and reliable search, retrieval or data infrastructure for engineering stakeholders. Familiarity with Elasticsearch or OpenSearch, vector and semantic retrieval, knowledge graphs, or ontology and taxonomy modeling. Experience designing platforms where agents, not only humans, are first-class consumers, including provisioning and debugging through APIs rather than a UI.