Implementation Consultant at Netomi (W16)
Self-Driving Customer Care
United States (Remote)
Full-time
US citizen/visa only
About Netomi

Netomi's AI enables self-driving customer care for companies like HP, Westjet, Singtel and more. By autonomously resolving over 70% of support tickets on email, chat, messaging, social and voice, companies using Netomi reduce support costs, boost customer happiness, enhance agent productivity and automate up-sell.

About the role

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role

We seek intelligent, self-motivated individuals who thrive in fast-paced, dynamic, and often uncertain environments—those who demonstrate a high level of personal responsibility, initiative, and dedication. A strong technical foundation is important, along with a deep curiosity to expand your knowledge in the rapidly evolving AI landscape. You should be passionate about our product, driven to continuously learn, and committed to delivering exceptional value to our growing customer base. As we continue to define and shape an emerging market, we are excited to connect with individuals who are energized by innovation and inspired to contribute to something truly transformative.

Responsibilities

  • Scope out projects and provide effort estimations and timelines in conjunction with sales and customer success managers.
  • Participate in Discovery calls with customers and cross-functional team
  • Partners with CSMs to ensure successful delivery by leading technical project activities, including solution architecture design
  • Serves as architect on moderate to complex projects requiring integration with multiple products
  • Performs complex configuration, and troubleshooting of Netomi’s solution(s)
  • Ensure Project/Process Documentation on the centralized repository
  • Participates in reviews(as and when required) with the customers and guides best practices
  • Collaborate with different teams for effective troubleshooting of customer issues during deployment & post deployment 
  • Leads business discussions regarding Netomi’s value proposition at different levels of customer organization
  • Strong in data analytics and providing insights to the customer
  • Focus on driving efficiency in project delivery through initiatives
  • Analyse the customer health and create a plan to improve and Optimize the performance of AI Agent

Requirements

  • Overall Experience > 5-6 Years experience in Project Management preferably from a consulting organisation
  • Should have spent at least 2 years for a SaaS-based organisation conceptualising and deploying the solution
  • Articulate and possesses proficiency in client/stakeholder management
  • Strong communication skills both written and verbal
  • Ability to deliver under stressful conditions
  • Experience in implementation of SaaS products is a must
  • Understand basics of SQL and relational databases
  • Strong tool experience with JSON, Datadog, Postman, API Integrations
  • Basic or moderate understanding of NLP

Disclaimer:

  • For all United States-based applicants, please note that Netomi participates in E-Verify for work authorization. More information on E-verify can be found here and here.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

Technology

Machine Learning, NLP, Deep Learning

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