Technical Customer Success Manager- Enterprise AI & SaaS Platform | 8+ Years

About the role

Neuron7.ai Customer Success Opportunity

Neuron7.ai is a fast-growing SaaS company with category-defining AI solutions for customer service, backed by top VCs and a stellar group of angel investors and advisors. Our AI-powered Resolution Intelligence platform helps enterprises make accurate service decisions at scale by leveraging structured data, unstructured data, LLMs, and Agentic AI to diagnose and resolve complex issues in seconds.

We serve some of the world's leading organizations across high-tech, manufacturing, telecommunications, medical devices, industrial equipment, and field service operations.

Position Overview

We are seeking a highly technical professional to act as a trusted advisor to our enterprise customers. This role focuses on driving the implementation, adoption, and optimization of Neuron7's AI-powered solutions. The position requires a unique blend of customer-facing acumen and deep technical understanding of AI, enterprise SaaS platforms, and service operations. You will work directly with customer service leaders, field service organizations, IT teams, architects, and engineering stakeholders to deploy and operationalize solutions that enhance service outcomes and business performance.

This is not a traditional Customer Success role. It is a hands-on position demanding expertise in AI technologies, integrations, and technical solution deployment.

Key Responsibilities

You will lead customer onboarding and the implementation of Neuron7 AI solutions. A primary focus will be integrating CRM and service management platforms with Neuron7 products. You will collaborate closely with customer and internal engineering teams on data onboarding and enterprise integrations.

Additional responsibilities include AI solution deployment, configuration, testing, and driving user adoption. You will design and conduct customer workshops and technical solution reviews. The role involves defining and measuring ROI, business outcomes, and adoption KPIs. You will lead AI-powered service transformation initiatives for customer service and field service teams.

Other core duties encompass executive stakeholder management and customer success planning. You will own contract renewals, identify expansion opportunities, and work cross-functionally with sales teams. Based on customer requirements, you will provide product feedback and enhancement recommendations. You will also demonstrate new AI, Agentic AI, and Resolution Intelligence capabilities.

Required Qualifications

The ideal candidate brings 8+ years of experience in Customer Success, Solutions Engineering, Technical Account Management, Professional Services, or Enterprise SaaS implementations. Proven experience working with enterprise SaaS products is essential, preferably within AI, analytics, automation, or service management domains.

A strong understanding of AI/ML concepts, LLMs, NLP, and Agentic AI in enterprise deployments is required. You must have direct experience with Field Service, Customer Service, Contact Center, or Service Operations organizations. Experience managing enterprise software implementations and cross-functional programs is mandatory.

You must be able to engage effectively with both technical and business stakeholders. Strong analytical and data-driven decision-making skills are critical. The ability to manage globally distributed teams and customer programs is required.

A bachelor's degree in Technology, Engineering, Computer Science, or Business Management is necessary.

Nice to Have

Prior experience with Salesforce, ServiceNow, Microsoft Dynamics, Oracle CX, or other CRM platforms is valued. Exposure to AI implementations involving LLMs, RAG, Agentic AI, and Knowledge Management systems is considered an asset.

Experience supporting Field Service organizations, Service Operations teams, or Technical Support environments is beneficial. An understanding of how APIs connect ecosystems inside large enterprises is also advantageous.

What Success Looks Like

Success in this role is defined by customers successfully adopting and scaling Neuron7 AI solutions. You will measure success by AI-powered workflows driving measurable improvements in service KPIs. Building strong executive relationships and fostering customer advocacy are key indicators. Successful enterprise deployments and long-term customer retention, along with the expansion of AI use cases across customer organizations, define achievement in this position.

At Neuron7.ai, you will help shape how enterprises use Agentic AI to transform customer service, technical support, and field service operations at scale.