Solutions Engineer

ABOUT EMA

Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale.

Who are you?

We are seeking a Solution Engineer to join the Ema team in India. This is a hybrid role, preferably based in Bangalore. As a Solution Engineer, you will work on cutting-edge GenAI challenges for Fortune 500 companies and build Proofs of Concept for customers. You will work with sales, product, and engineering teams to turn customer requirements into working solutions that run on the customer's own data and applications. The ideal candidate is hands-on and customer-facing, starts from the customer's problem rather than the product feature, and is comfortable with data structures, data engineering, APIs, and Python. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.

You will

• Analyse customer requirements and translate them into a clear solution approach

• Deliver tailored demos that show how Ema's AI applications solve the customer's problem

• Build new AI application Proofs of Concept (PoCs) and pilots for customers

• Integrate with customers' data and applications, working with APIs and using Python for data transformation

• Work with engineering and product to resolve technical blockers in live customer work

• Work effectively with sales, product, and engineering teams

• Document solution designs, integrations, and lessons learned so others can reuse them

Ideally, you'd have

• Bachelor's degree in Computer Science

• 2–5 years of relevant work experience in a customer-facing technical role, such as Solutions Engineer, Sales Engineer, Applications Engineer, Forward Deployed Engineer, or Implementation Engineer

• Experience working with different data structures and data engineering

• Experience analyzing customer requirements and providing demos

• Ability to work with APIs and use Python to perform data transformation

• Knowledge of AI technology and enterprise SaaS applications

• Experience building PoCs or pilots that moved into production

• Exposure to GenAI, LLM-based applications, or workflow automation tools

• Experience integrating with enterprise systems such as CRM, HRIS, ITSM, or ERP platforms

• Ability to explain technical choices clearly to technical and non-technical audiences

• Strong problem-solving skills and attention to detail

• Ability to work independently and as part of a team

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.