Who We Are Ema is building the next generation of AI solutions to transform enterprise productivity by automating document-intensive workflows across industries. Whether it's drafting custom documents, automating search and extraction, or enabling reasoning over complex document workflows (such as RFPs, prospectuses, or auditing processes), our AI -powered solutions are redefining how businesses approach repetitive tasks. Founded by seasoned leaders from Google, Coinbase, and Okta, Ema is a stealth-mode startup, backed by top-tier investors and based in Silicon Valley and Bangalore.

This is a high-leverage leadership role that spans architecture, execution, and org-building, and will shape the direction of our search platform for years to come. We are seeking a Head of Search engineering leader to architect, scale, and own the core systems that power Ema's Search platform. This role is especially critical to building and scaling:
Open API specs to bring in the data into Ema
Set the roadmap for our Data Ingestion Platform – which enables Ema to securely ingest, transform, and index data from documents, spreadsheets, emails, and SaaS systems.
Our Application Integration Platform – which connects Ema to hundreds of third-party APIs, allowing our agents to act across CRMs, ITSMs, HRIS platforms, and more.
Design and scale our Search Platform, enabling structured and unstructured data to flow seamlessly into Ema for search, reasoning, and generation.




Own the architecture and implementation of Ema's Search Index.
Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts, etc.) using PostgreSQL, Elasticsearch, and other relevant tools.

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

- 12+ years of experience in backend systems, lucene, elastic search, vector datastores, infrastructure and scale.
- Expertise in ranking algorithms (BM25, vector-based, hybrid).
- Proven experience in building the search infrastructure and scaling real-time systems on the search engine.
- Deep expertise in cloud-native architecture, containerized services, and microservice orchestration (Docker, Kubernetes).
- Solid understanding of LLM-based pipelines, knowledge retrieval, and secure document processing.
- Strong experience with data systems like PostgreSQL, Elasticsearch, and Redis.

Work at the forefront of agentic AI systems—driving real enterprise transformation.
Help define the architectural, cultural, and operational DNA of a company set to define a current category.

High Bar on Quality – We value excellence and expect world-class execution.
Ownership & Accountability – We take full responsibility for our work and outcomes.
Team Collaboration & Growth – We believe in continuous learning, knowledge sharing, and supporting each other.

📌 Engineering Team Leader- Hybrid Working (Bengaluru)
🏢 Ema
📍 Bengaluru