
Ema is the horizontal agentic OS that allows anyone to conversationally build AI employees that boost productivity in any role in the enterprise. Ema is: ›› Simple - Conversationally build AI…

Ema is the horizontal agentic OS that allows anyone to conversationally build AI employees that boost productivity in any role in the enterprise. Ema is: ›› Simple - Conversationally build AI…
About the Company
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.
About the Role
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.
Responsibilities
Own the technical roadmap for Search at Ema → this includes:
Qualifications
Required Skills
Why Join Ema?
Ema’s Culture & Values
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Core Search Platform
Integrations internally with other application teams
Integrations with partner teams
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.
Drive and collaborate with the LLMOps infrastructure: influence on how 1000s of transforms can be developed by external folks as well.
Ensure platform support for diverse data formats (PDFs, spreadsheets, databases, charts, etc.) using PostgreSQL, Elasticsearch, and other relevant tools.