Netomi jobs, judged for you, free

What they do

Netomi makes an agentic AI platform for enterprise customer experience. Agentic AI acts on its own to finish tasks. Its no-code platform, which needs no programming, lets companies build and manage AI agents for customer service. Customers include Delta Airlines, MetLife, and United. Its site names work with OpenAI and Adobe, and an investment from Accenture.

What they value

• A culture of accountability, collaboration, and performance.
• Hands-on builders: senior roles write code and build prototypes themselves.
• AI with standards: teams use AI tools to go faster without lower quality or security.

Where they hire

The board marks all 20 roles remote. Nine are in India: five remote and four tied to Gurugram. Others are in San Mateo (4), Toronto (3), New York (1), and the US or anywhere remote (3). Netomi uses E-Verify for US applicants. Some customer roles travel 10 to 50 percent. Postings say nothing about visa sponsorship.

Teams and roles

WndrCo, Y Combinator, and Index Ventures back Netomi. The home page also names backers such as Greg Brockman, Demis Hassabis, and Jeffrey Katzenberg. The board lists 20 roles. Product Engineering has 8, Global Services and Delivery 5, Sales 3, Customer Success 2, Product 1, and People and Culture 1.

• Product engineering: data engineers build pipelines in Python and SQL, with tools such as Airflow and Snowflake. Data scientists build LLM and agentic solutions. A frontend engineer builds UI in Vue.js or React. DevOps roles run Kubernetes and AWS.
• Global services and delivery: agentic engineers build agent workflows on the no-code platform, with prompts and APIs. Agentic product managers design and deploy AI solutions for enterprise customers. A senior customer architect owns the technical side of large accounts after the sale.
• Sales and customer success: partner and channel roles sell through cloud marketplaces and systems integrators. Account and customer success managers handle renewals for Fortune 100 accounts.
• Product: a senior technical product manager owns the roadmap for the Agents platform and works with AI labs.

No Posting gives a pay range.

What they look for

Years range from 2 for junior data and DevOps roles to 10 or more for senior customer and partner roles. Engineering roles often ask for Python, REST APIs, or webhooks. Many also ask for prompt engineering or LLM experience. The Data Scientist II role asks for LLM frameworks such as LangGraph or LangChain, and PyTorch or TensorFlow. Customer roles want enterprise SaaS experience. Some want depth in airlines, financial services, or retail. Several Postings ask for a computer science degree, such as a B.E. or B.Tech.