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As a Senior Engineering Manager – Search, you will lead and inspire a talented team of backend and search engineers responsible for evolving Highspot’s core search & recommendation capabilities. You’ll drive innovation in search relevance, ranking, recommendations, and large-scale data systems that power discovery across the Highspot platform. This role requires a blend of technical depth, strategic thinking, and people leadership. You’ll collaborate closely with cross-functional partners in Product, Design, and Data Science to ensure Highspot continues to deliver fast, intelligent, and delightful search experiences for our customers worldwide.
Job Responsibility:
Lead, mentor, and grow a team of search and backend engineers focused on high-impact, scalable search solutions
Own the technical vision for search architecture combining traditional and vector based, including relevance, ranking models, and distributed indexing systems
Drive execution excellence — set goals, manage delivery timelines, and ensure consistent progress against engineering objectives
Collaborate with Product and Data Science to translate customer and business needs into measurable search and content recommendation improvements
Optimize and scale our enterprise search stack (Lucene, Solr, ZooKeeper, or similar technologies) to support massive data volumes
Oversee the design and delivery of highly available distributed services and RESTful APIs integrated into Highspot’s platform
Partner with DevOps to ensure reliability, observability, and performance across multiple data centers
Champion AI-driven enhancements to improve personalization, ranking, and search recommendations
Foster a culture of quality, inclusion, and accountability, emphasizing mentorship, continuous learning, and technical excellence
Partner cross-functionally to ensure alignment between platform strategy and product outcomes, including stakeholder communication and risk management
Requirements:
3+ years of experience managing engineering teams, with a proven record of developing and scaling backend or search systems
7+ years of total software development experience with cloud-native SaaS platforms
Strong background in search & recommendation technologies such as Lucene, Solr, Opensearch, Elasticsearch, RAG, or similar frameworks
Deep understanding of enterprise search architecture, schema design, and relevance tuning
Proven success building REST APIs, distributed systems, and integrating services using AWS or similar cloud platforms
Experience with object-oriented and functional programming languages, such as JavaScript/TypeScript, Python, or Ruby
Familiarity with machine learning and AI concepts for ranking, personalization, or content recommendations
Track record of attracting and developing diverse talent, fostering a collaborative and inclusive culture
Strong leadership, communication, and stakeholder management skills able to balance technical depth with strategic decision-making
Nice to have:
Bachelor's or master's degree in computer science, Engineering, or related field
10+ years of experience hands-on experience to design and build scalable, high-quality customer-facing software
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