Who we are

Ema is building the world’s largest agentic AI platform to revolutionize enterprise productivity. Our proprietary technology enables companies to delegate repetitive tasks to Ema, the Universal AI employee, unlocking 10x gains in workforce efficiency. Founded by ex-Google, Coinbase, Flipkart, and Okta executives, we bring deep product and scaling expertise to this mission. Our team includes top engineers from Google, Microsoft Research, Facebook, Square, and Coinbase, and alumni of Stanford, MIT, UC Berkeley, CMU, and IITs.

We’ve raised over $60M from top-tier investors including Accel, Naspers/Prosus, Section32, SCB10X, Sozo Ventures, Hitachi Ventures, and prominent angels like Sheryl Sandberg, Jerry Yang, and Dustin Moskovitz. Ema is headquartered in Silicon Valley with a second hub in Bangalore, India. This is a hybrid role requiring in-office work three days per week.

Role Overview

Ema is on a mission to redefine the future of work by building a Universal AI Employee that empowers every worker to delegate repetitive, high-value tasks to intelligent, agentic AI systems. As the Engineering Lead on our Forward Deployment Engineering (FDE) team, you’ll play a pivotal role in translating this vision into real-world impact. From discovery workshops to production deployments, you will lead the design of scalable, secure, and observable AI -powered workflows—turning customer ambitions into enterprise-grade solutions that deliver measurable value.

Roles and Responsibilities:

Qualifications

• 8+ years in software/solutions architecture, including 3+ years with LLM or event-driven systems
• Expert in Python, REST/JSON APIs, and cloud infrastructure (GCP, AWS, or Azure)
• Proven record deploying AI systems in enterprise environments
• Familiarity with agent frameworks like LangChain, Semantic Kernel, or similar
• Experience integrating SaaS platforms like CRM, ATS, ERP
• Strong understanding of RBAC, SSO (Okta/AD), and security standards
• Outstanding communication and executive presence in high-stakes environments

Preferred Qualifications

• Experience with SQL optimization, graph DBs, or real-time processing
• Hands-on knowledge of Terraform, Helm, and infrastructure-as-code
• Prior work in FedRAMP, HIPAA, or similar compliance environments
• Open-source contributions in AI infrastructure or observability domains

Soft Skills:

• Ownership & Accountability : You drive end-to-end outcomes, not just deliverables
• Curiosity & Learning : You seek emerging tools and best practices in GenAI
• Collaboration : You thrive at the intersection of product, engineering, and customer success
• Empathy & Clarity : You simplify the complex and build trust through communication

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.