--- title: 'Solutions Engineer at Ema' canonical: 'https://feeny.ai/job/solutions-engineer-ema-bengaluru-y64db8mg1car' type: 'job' last_seen: '2026-10-28' --- # Solutions Engineer at Ema - **Company:** Ema - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-28 - **Apply:** https://jobs.ashbyhq.com/ema/5224df3c-9bef-406d-8b0c-381f2055c6c4 ## Job description ## 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. 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. ## About Ema ## Company Overview - **One-liner**: Ema provides a universal agentic control plane that enables enterprises to build, deploy, and scale autonomous AI agents to automate complex workflows across every business function. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States - **Founded**: March 2023 - **Founders**: Surojit Chatterjee (Co-Founder & CEO), Souvik Sen (Co-Founder & CTO) ## Core Business - **Primary industry**: Enterprise AI Software / Generative AI / Agentic AI - **Target customers**: Large enterprises across healthcare, financial services, legal, and technology sectors (B2B, Enterprise) - **Mission or purpose statement**: To give business and IT leaders one place to build, deploy, and scale AI Agents across every function—HR, Finance, Sales, Customer Support, Legal, and beyond. The company believes the future of work is "humans multiplied by AI Employees," not humans replaced by AI. ## Products & Services - **Ema Universal Agentic Control Plane**: A platform for building, deploying, and scaling AI Agents across all enterprise functions. - **EmaFusion™**: A patented AI fusion layer that blends 100+ LLMs to optimize for accuracy, cost, and latency on every query, without vendor lock-in. - **GWE™ (Generative Workflow Engine)**: The orchestration core that breaks complex enterprise workflows into multi-agent steps, with built-in human-in-the-loop, audit trails, and async operations. - **Enterprise Context Graph**: Deep, permissioned memory across an organization's data, systems, and processes so every AI Employee knows the business from Day One. ## Market Standing - **Valuation**: Not publicly disclosed - **Total Funding**: $75 million (across multiple rounds) - **Seed Round** (March 2024): $25M led by Prosus Ventures and S32 - **Series A** (July 2024): $36M led by Accel and S32 - **Additional Series A** (March 2026): $14M from 9 investors - **Notable Investors/Partners**: Accel, S32 (Section 32), Prosus Ventures, Hitachi Ventures, KPMG (strategic investment) - **Growth Signals**: - Employee headcount grew 89.2% year-over-year to 155 people. - Operates in 6 countries (US, India, UK, Canada, UAE, Germany). - Trusted by global enterprises across highly regulated industries. - Holds certifications including ISO 42001 (world's first AI management standard), SOC 2 Type II, ISO 27001, and HIPAA. - Supports on-premises and air-gapped deployment, a significant differentiator for security-conscious enterprises. ## Competitive Advantages - **EmaFusion™ Technology**: A proprietary multi-model approach that blends over 100 LLMs, optimizing for accuracy, cost, and latency while avoiding vendor lock-in. - **Enterprise-Grade Security & Compliance**: One of the few agentic AI platforms that supports on-premises and air-gapped deployment, with certifications like ISO 42001, SOC 2 Type II, ISO 27001, and HIPAA. - **Deep Enterprise Integration**: Pre-integrated with 200+ enterprise systems, with a permissioned "Enterprise Context Graph" that provides deep, institutional memory. - **Strong Strategic Backing**: Backed by top-tier VCs (Accel, S32) and a strategic investment from KPMG, signaling strong enterprise credibility. ## Strategic Focus - **Product Expansion**: Continuing to build out the agentic AI platform to cover more enterprise functions and workflows. - **Enterprise Adoption**: Deepening relationships with large, regulated enterprises (healthcare, financial services, legal). - **Global Scale**: Expanding operations across key markets (US, India, UK, Canada, UAE, Germany) to support a global customer base. - **Trust & Compliance**: Maintaining and expanding certifications (ISO, SOC 2, HIPAA) to meet the highest enterprise security standards. ## Why Work Here - **Culture**: Ema describes itself as an "AI-first" company that hires "fewer people with a hunger and growth mindset" and augments the human workforce with AI employees. Core values include being innovative, trusted, relentlessly driven, and bold. - **Engineering Philosophy**: The company has a published "Engineering Manifesto" and emphasizes hiring "builders and creators." They believe a "10x team is better than a 10x individual" and operate with a "no wait, no boundaries" approach. - **Work Environment**: "Everyone builds" is a key principle—employees are expected to write software, create original content, and build new processes regardless of their formal role. - **Remote/Hybrid Policy**: Not explicitly stated, but offices are located in the SF Bay Area (US), India, UK, and Canada, suggesting a global, likely hybrid-friendly setup. - **Talent Pool**: The company attracts talent from top tech companies (Google, Meta, Amazon, Coinbase, Databricks) and top universities (IIT Delhi), indicating a high-caliber peer group. - **Open Roles (as of mid-2026)**: 32 active job postings, including roles in ML Engineering, Backend Engineering, DevOps, Product Management, Security & Compliance, and Marketing. ## Sources 1. [ema.ai/careers](https://www.ema.ai/careers) 2. [jobs.ashbyhq.com/ema](https://jobs.ashbyhq.com/ema) 3. [Crunchbase - Ema](https://www.crunchbase.com/organization/ema-8724) 4. [LinkedIn - Ema](https://www.linkedin.com/company/ema-unlimited) 5. [Tracxn - Ema](https://tracxn.com/d/companies/ema/__ksb3jUKrtsxUjw6V-pJ_Daac843jAQUG62LqeRWEGJ0) ## Other roles at Ema - [Software Engineer, Machine Learning](https://feeny.ai/job/software-engineer-machine-learning-ema-mountain-view-w8jsc8s2ndy9) — Mountain View, CA - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-mountain-view-zetv3r0q2r6n) — Mountain View, CA - [Senior Security Engineer - Cloud & AI Platform](https://feeny.ai/job/senior-security-engineer-cloud-ai-platform-ema-bengaluru-4t63qq870y16) — Bengaluru, India - [Devops Engineer, US](https://feeny.ai/job/devops-engineer-us-ema-mountain-view-6xs6vam1xfxy) — Mountain View, CA - [IT Engineer](https://feeny.ai/job/it-engineer-ema-san-francisco-1g6631qr9fjg) — San Francisco, CA - [AI Resident UK/EMEA](https://feeny.ai/job/ai-resident-uk-emea-ema-united-kingdom-499aq5tctc5a) — United Kingdom - [Sales Development Representative](https://feeny.ai/job/sales-development-representative-ema-united-states-5xq9tbb76n09) — United States - [Software Engineer, Machine Learning](https://feeny.ai/job/software-engineer-machine-learning-ema-vancouver-chp4xdz8xx6m) — Vancouver, Canada - [Field Marketing Manager, EMEA](https://feeny.ai/job/field-marketing-manager-emea-ema-united-kingdom-ftj8q0ayw809) — United Kingdom - [Software Engineer, Full-Stack](https://feeny.ai/job/software-engineer-full-stack-ema-vancouver-ktj8sbzdgr3w) — Vancouver, Canada