Ema jobs, judged for you, free
AI Employees that automate HR, IT, and Finance work for enterprises.
- AI
- Mountain View, United States
- 51–200 people
- Private
Newest at Ema.
- Senior Security Engineer - Cloud & AI PlatformIndia - Bengaluru · Full-time
- IT EngineerSan Francisco Bay Area; United States · Remote · Full-time
- Sales Development RepresentativeUnited States · Remote · Full-time
- AI Resident UK/EMEAUnited Kingdom (Remote) · Remote · Full-time
- Field Marketing Manager, EMEAUnited Kingdom (Remote) · Remote · Full-time
- Devops Engineer, USMountain View (Hybrid); United States · Remote · Full-time
- Software Engineer, Machine LearningVancouver, BC · Full-time
- Software Engineer, Full-StackVancouver, BC · Full-time
- Product Manager, UKUnited Kingdom (Remote) · Remote · Full-time
- Engineering LeaderUnited Kingdom (Remote) · Remote · Full-time
- AI Application Engineer (Contractor role)San Francisco Bay Area · Full-time
- Forward Deployed BuilderUnited Kingdom (Remote) · Remote · Full-time
- AI ResidentSan Francisco Bay Area · Full-time
- Senior Support Specialist- UKUnited Kingdom (Remote) · Remote · Full-time
- Software Engineer, Full Stack - UKUnited Kingdom (Remote) · Remote · Full-time
- AI Strategist - UKUnited Kingdom (Remote) · Remote · Full-time
- Customer Engagement ManagerSan Francisco Bay Area · Full-time
- Customer Engagement ManagerIndia - Bengaluru · Full-time
- Senior Infrastructure EngineerIndia - Bengaluru · Full-time
- Product ManagerSan Francisco Bay Area · Full-time
And 18 more open at Ema.
See them all, freeThe company, in brief.
What they do
Ema Unlimited makes AI Employees for enterprises. They automate routine work in HR, IT, and Finance, such as recruiting, onboarding, and benefits. The platform has 250+ prebuilt integrations and works in Teams, Slack, or by voice. EmaFusion combines 100+ models for each task. Ema can run air-gapped. It is based in Silicon Valley, with offices in Bangalore, London, and Vancouver.
What they value
- Be bold: take big bets on ambitious ideas.
- Earn the trust of customers every day, and assume best intent.
- Act like an owner, with a bias for action.
- Stay relentlessly driven.
- Everyone builds: hire builders and creators, and hire fewer people.
- Be AI first, inside the company and in the product.
Where they hire
Of 40 Postings, 16 are in India, 9 in the San Francisco Bay Area, 8 remote in the United Kingdom, 5 remote in the United States, and 2 in Vancouver. Most India roles are in Bengaluru, and the Postings that say so are hybrid, with three office days a week. Two India roles are remote. No Posting mentions visa sponsorship.
Teams and roles
Engineering makes up 10 of the 16 India roles, all in Bengaluru except one residency.
- Backend: Go and Python, PostgreSQL, Kafka and Temporal, and LLMs from OpenAI, Gemini, and Claude.
- Machine learning: models for NLP, retrieval, ranking, and reasoning, with PyTorch or TensorFlow. A principal ML engineer leads the ML roadmap.
- Platform, infrastructure, DevOps, and SRE: Kubernetes on GCP, Azure, and AWS, Terraform, Helm, Istio, and on-call work.
- IT: an IT engineer runs corporate IT and automates it with agentic tools.
- Engineering leader: owns the Voice, BPO, and Workforce Management product lines.
Bengaluru also hires a product manager, a product designer who works in Figma or Sketch, a solutions architect, and customer engagement managers. A customer engagement manager owns delivery from design to production rollout. A remote Sales Development Representative in India supports the US market and works US business hours.
The AI/Data Resident role is a six-month remote internship in India for final-year Computer Science students. Residents work full time in the summer and 20 to 30 hours a week in the semester. The stipend is Rs 65,000 a month. Top residents get full-time roles. Outside India, the board has full-stack and ML engineers, an AI Resident in the Bay Area, and sales, partner, and forward deployed roles in the US and UK.
What they look for
Half of the India Postings ask for a bachelor's degree, most often in Computer Science. Experience asks vary by role. The IT engineer asks for 0 to 2 years, the SRE for 3 to 5, and the platform engineer for 5+. Backend, ML, and DevOps ask for 7+, and the Principal ML Engineer for 10 to 12+. Most engineering Postings ask for Python, and many ask for Go, Kubernetes, or a major cloud. Several ask for strong data structures and algorithms. Postings ask for comfort in a fast-paced startup and for work with global teams. Several ask for experience with LLMs, RAG, or agentic systems. The AI/Data Resident role asks for a GPA of 8.0 or above and strong coding skills. It prefers top JEE Advanced rankers. New hires ship a Week 1 Starter Project.
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