
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
Automating and orchestrating multi-step enterprise workflows across functions such as HR, customer support, and sales.
2023
Administrative Services
USD 25,000,000
Company announced emergence from stealth with a $25M round.
USD 36,000,000
Additional funding reflected in total funding amount and last funding date.
“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).”
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Location: Bangalore (Hybrid)
Ema is redefining how work gets done by building the next generation of agentic AI technology that empowers every employee to be their most creative and productive. Our Universal AI Employee automates repetitive tasks, enabling enterprises to focus on strategic initiatives.
Founded by ex-Google, Coinbase, and Okta executives and backed by the world’s top investors and angels, Ema is well-positioned to revolutionize enterprise productivity. We are headquartered in Silicon Valley, with a rapidly growing team in Bangalore. Our hybrid work environment encourages innovation and collaboration across geographies.
As a Senior Technical Trainer / Developer Educator (Product Instructor) for Ema’s Agentic AI Builder, you will lead the design and delivery of a world-class enablement program that helps customer engineering teams learn, build, deploy, and operate AI agents independently.
This is not a traditional training role. You’ll blend strong technical depth (APIs, integrations, cloud, debugging, production operations) with instructional excellence to create structured training, hands-on labs, and certification frameworks that accelerate customer adoption and reduce long-term dependency on Ema.
You will partner closely with Product Engineering, AI Application Engineering, Solution Architects, and SRE/DevOps to ensure enablement is accurate, practical, enterprise-ready, and continuously evolving with the Agentic AI Builder roadmap.
Own and evolve the role-based enablement curriculum for the Agentic AI Builder (Developer, Admin/Ops, Security/Compliance).
Deliver instructor-led training (virtual/on-site), interactive workshops, and structured office hours.
Create progressive learning paths that cover:
Build and maintain hands-on labs, sample agent projects, reference implementations, and quickstart guides.
Create capstone exercises that reflect real enterprise use cases (e.g., ticket triage, HR ops, finance approvals, IT automation).
Maintain “golden paths”:
Ensure labs are runnable across customer environments with minimal friction.
Define skill milestones and certification criteria aligned to the engagement phases:
Build assessments: knowledge checks, hands-on practical tests, and rubric-based evaluations.
Partner with Customer Success / Enablement leads to track certification progress and intervene when teams fall behind.
Reinforce training concepts during Guided Build by pairing with customer developers and teams.
Help customers adopt best practices for:
Identify recurring customer pitfalls and convert them into improved training modules and reusable assets.
Collaborate with SRE/DevOps to create production enablement content:
Teach customers to run the Agentic AI Builder at enterprise scale:
Act as a “field signal amplifier” for the Agentic AI Builder:
Partner with engineering to ensure enablement content stays current with releases.
8–12+ years of experience as a software engineer, solutions engineer, product engineer, solution architect, or developer advocate—plus 3–5+ years in technical training, enablement, or mentoring roles.
Strong experience building and operating enterprise SaaS products, APIs, and integrations.
Proven ability to translate complex systems into clear learning paths and hands-on labs.
Comfortable teaching both:
Strong understanding of cloud systems (AWS/GCP/Azure), auth (OAuth/JWT), observability, and production operations.
Excellent communication and facilitation skills with enterprise engineering audiences.
Nice to Have