Senior Engineering Manager (AI Search & Retrieval) in India at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Engineering Manager (AI Search & Retrieval) in India.

This is a senior engineering leadership role focused on building and scaling large-scale AI-powered search and retrieval systems that operate at massive enterprise scale. You will lead high-performing engineering teams responsible for core search infrastructure, combining distributed systems expertise with modern machine learning approaches such as semantic retrieval, vector search, and ranking models. The role sits at the intersection of engineering leadership, applied science, and product strategy, requiring both deep technical understanding and strong people management capabilities. You will shape the long-term architecture of search systems that handle hundreds of millions of queries and directly impact customer experience and business outcomes. The environment is highly collaborative, globally distributed, and deeply technical, with strong emphasis on innovation, scalability, and operational excellence. You will also play a critical role in mentoring senior engineers and building a culture of high performance and psychological safety. This position offers the opportunity to influence the future of AI-driven search and personalization at scale.

• Lead the architecture, roadmap, and long-term evolution of AI Search & Retrieval systems, including indexing, ranking, retrieval, and query execution layers.
• Manage and mentor a high-performing engineering team, including senior and staff-level engineers, fostering technical excellence and career growth.
• Partner with applied science and ML teams to productionize ranking models, embeddings, and semantic retrieval systems at scale.
• Ensure search infrastructure meets strict requirements for latency, availability, scalability, and cost efficiency under high enterprise workloads.
• Oversee data pipelines and streaming systems supporting real-time indexing, ingestion, and search relevance improvements.
• Collaborate with product and cross-functional stakeholders to translate business requirements into clear, executable technical roadmaps.
• Drive engineering execution, ensuring high standards for code quality, system reliability, testing, and performance evaluation.
• Coordinate globally distributed teams and resolve architectural dependencies across multiple engineering functions.

Requirements:

• 8+ years of software engineering experience with strong expertise in distributed systems, backend infrastructure, and large-scale production systems.
• Strong domain knowledge in search systems, information retrieval, ranking algorithms, and relevance engineering.
• Hands-on experience with big data and streaming technologies such as Spark, Kafka, Flink, Solr, Lucene, or Elasticsearch.
• 4+ years of engineering leadership experience managing, hiring, and developing high-performing technical teams.
• Strong cloud experience (AWS, GCP, or similar) designing and operating production-grade systems at scale.
• Proficiency in backend programming languages such as Java and/or Python.
• Strong ability to define technical vision and balance trade-offs across latency, relevance, scalability, and cost.
• Excellent communication skills with the ability to influence technical and non-technical stakeholders.
• Bonus: experience with vector search, embeddings, semantic retrieval, or A/B testing frameworks.

Benefits:

• Flexible, remote-first working model with global collaboration opportunities.
• Competitive compensation with performance-based bonuses and equity/stock options.
• Strong emphasis on learning and development, including coaching, training programs, and leadership growth opportunities.
• Comprehensive wellness, health, and well-being programs supporting physical and mental health.
• Extended parental leave and supportive family policies.
• Employee stock participation and referral bonus programs.
• Opportunity to work on large-scale AI search systems powering global enterprise brands.
• Inclusive, high-trust engineering culture focused on autonomy, impact, and innovation.