Ema is a Universal AI Employee platform that revolutionizes enterprise productivity through sophisticated AI Agents. It learns, adapts, and evolves to boost productivity across all enterprise roles. Ema's Generative Workflow Engine™ and pre-built AI Agents allow for the conversational activation of new AI employees to execute complex workflows, integrating with hundreds of apps for easy configuration and deployment. The platform prioritizes security and compliance, redacting sensitive information before passing it to public LLMs, and offering top-tier encryption and customizable private models. Ema utilizes its proprietary 2T+ parameter EmaFusion™ model to maximize accuracy at the lowest cost by blending public and private models, ensuring future-proofing by continuously adding new models. Ema aims to transform enterprise software from rigid systems to fluid, conversational experiences, enabling smaller teams to achieve large-scale impact and reimagining the future of work.
Ema is a Universal AI Employee platform that revolutionizes enterprise productivity through sophisticated AI Agents. It learns, adapts, and evolves to boost productivity across all enterprise roles. Ema's Generative Workflow Engine™ and pre-built AI Agents allow for the conversational activation of new AI employees to execute complex workflows, integrating with hundreds of apps for easy configuration and deployment. The platform prioritizes security and compliance, redacting sensitive information before passing it to public LLMs, and offering top-tier encryption and customizable private models. Ema utilizes its proprietary 2T+ parameter EmaFusion™ model to maximize accuracy at the lowest cost by blending public and private models, ensuring future-proofing by continuously adding new models. Ema aims to transform enterprise software from rigid systems to fluid, conversational experiences, enabling smaller teams to achieve large-scale impact and reimagining the future of work.
Product: Universal AI Employees — agentic AI agents + Generative Workflow Engine
Founders: Surojit Chatterjee (CEO & Founder), Souvik Sen (Technical Co‑Founder)
Headquarters: Mountain View, CA
Founded: 2023
Total funding: USD 61,000,000
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Company Overview
Problem Domain
Automating and orchestrating multi-step enterprise workflows across functions such as HR, customer support, and sales.
Founded
2023
Industry
Administrative Services
Tech Stack
Cloudflare
CDN
LetsEncrypt
Mobile compatible
Funding Track Record
Series A- 2024-03-05
USD 25,000,000
Company announced emergence from stealth with a $25M round.
- 2024-07-31
USD 36,000,000
Additional funding reflected in total funding amount and last funding date.
Investor Signal
“Ema's investor list includes institutional VC firms and notable individual investors (examples: Accel, Hitachi Ventures, AME Cloud Ventures and several prominent executives and founders).”
Founders
What we do
Join the Team
Software Engineer, Full-Stack
HybridMountain View, CA, US
Hybrid • Mountain View, CA, US
Ema, a Series A startup founded by serial entrepreneurs and ex-Google, Coinbase, and Okta executives, is revolutionizing the
AI
landscape to empower employees across enterprises, unlocking their creativity and productivity. Backed by top investors and angels, we are transforming the way businesses operate. Currently in stealth mode in Silicon Valley, Ema is seeking a highly talented and experienced Full Stack Engineer with a focus on front-end development to join our founding team. The ideal candidate will have a passion for building captivating user experiences while also contributing to back-end architecture and API integrations. This is a unique opportunity to make a substantial impact on a cutting-edge product.
In this role, You Will:
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Design, develop, and implement exceptional user interfaces for web applications using modern web technologies such as HTML, CSS, and JavaScript.
Collaborate closely with product managers, UX designers, and other stakeholders to gather requirements, own the user experience, develop wireframes, and create high-fidelity prototypes.
Develop and maintain API integrations, ensuring seamless communication between front-end and back-end systems using React and gRPC.
Contribute to back-end development with a focus on creating robust APIs and ensuring smooth communication between the front-end and server using technologies like Node.js or Python.
Build, test, and deploy full-stack web applications using React and gRPC, while ensuring responsiveness, performance, and scalability.
Optimize web applications for performance, accessibility, and SEO best practices.
Troubleshoot and resolve UI and back-end related issues, ensuring a consistent and optimal user experience across multiple platforms and devices.
Write clean, maintainable, and well-documented code adhering to established coding standards, and deploy/debug using platforms like Vercel.
Ideally You'd Have:
Bachelor's degree in Computer Science, Web Development, or a related field, or equivalent work experience.
A minimum of 4 years of professional experience in full-stack development, with a focus on front-end engineering and API integration.
Strong proficiency in HTML, CSS, and JavaScript, with extensive experience in React.
Experience with gRPC for client-server communication, and familiarity with RESTful APIs, JSON, XML, and OAuth.
Solid understanding of back-end technologies such as Node.js or Python, and experience working with server-side frameworks (e.g., FastAPI, Express).
Familiarity with version control systems like Git and build/deploy platforms such as Vercel.
Excellent problem-solving and analytical skills, with a strong commitment to delivering high-quality user experiences across both front-end and back-end.
Strong communication and collaboration skills, with the ability to work effectively both independently and as part of a team.
For California based candidates:
The standard base salary for this position is $135,000-$300,000 annually.
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
