
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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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).”
Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters.
Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t run experiments — they replace manual operations with AI-driven systems that deliver measurable outcomes.
Founded by leaders from Google, Coinbase, and Okta, and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution, not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about turning AI into real outcomes, this role is for you.
About the Role
The AI Outcomes Manager owns post-sales value realization for Ema’s enterprise customers. This is not a traditional Customer Success role. You will operate across Ema’s value-realization lifecycle, partnering closely with Sales, Value Engineering, AI Implementation, Product, and senior customer stakeholders. You are the first escalation point when delivery is under pressure and the owner of the closed-loop feedback system between customers, delivery teams, and product. AI value gets lost without strong change management and ownership and Production AI systems generate false positives, false negatives, and edge cases. Customers struggle to interpret usage data and system behavior and Stakeholders demand results under timeline, political, and organizational pressure and AI systems must continuously improve, not stagnate post go-live. In this role you are responsible for solving these systematically and calmly.
What You’ll Do
1. Outcome Ownership & Value Realization
2. Usage Intelligence, Readouts & Continuous Improvement
3. Change Management & Adoption
4. Stakeholder Management & Escalation
5. Expansion & Strategic Growth
6. Product & Roadmap Partnership
Who You Are
For California based candidates:
The standard base salary for this position is $135,000-$220,000 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.