[Hiring] Technical Customer Success Manager @Neuron 7

Role Description

We are looking for a highly technical Customer Success Manager who combines strong customer-facing skills with hands-on expertise in AI technologies, enterprise SaaS platforms, integrations, and service operations. This is not a traditional Customer Success role. The ideal candidate will act as a trusted advisor to customers while driving the implementation, adoption, and optimization of Neuron7's AI-powered solutions.

You will work directly with customer service leaders, field service organizations, IT teams, architects, and engineering stakeholders to deploy and operationalize AI solutions that improve service outcomes and business performance.

This role requires expertise in:

• AI, Generative AI, Agentic AI, LLMs, and NLP technologies
• Enterprise SaaS implementations and customer onboarding
• Field Service, Customer Service, and Service Operations workflows
• CRM platforms such as Salesforce, ServiceNow, Microsoft Dynamics, and Oracle CX
• Enterprise integrations, APIs, and data onboarding
• Technical solution design and deployment
• Change management and user adoption programs

Responsibilities

• Customer onboarding and implementation of Neuron7 AI solutions
• Integration of CRM and service management platforms with Neuron7 products
• Data onboarding and enterprise integrations in collaboration with customer and internal engineering teams
• AI solution deployment, configuration, testing, and adoption
• Customer workshops and technical solution reviews
• Definition and measurement of ROI, business outcomes, and adoption KPIs
• AI-powered service transformation initiatives for customer service and field service teams
• Executive stakeholder management and customer success planning
• Contract renewals, expansion opportunities, and cross-functional collaboration with sales teams
• Product feedback and enhancement recommendations based on customer requirements
• Demonstrations of new AI, Agentic AI, and Resolution Intelligence capabilities

Qualifications

• 5–8 years of experience in Customer Success, Solutions Engineering, Technical Account Management, Professional Services, or Enterprise SaaS implementations
• Proven experience working with enterprise SaaS products, preferably in AI, analytics, automation, or service management domains
• Strong understanding of AI/ML concepts, LLMs, NLP, Agentic AI, and enterprise AI deployments
• Experience working with Field Service, Customer Service, Contact Center, or Service Operations organizations
• Experience managing enterprise software implementations and cross-functional programs
• Ability to engage both technical and business stakeholders
• Strong analytical and data-driven decision-making skills
• Experience managing globally distributed teams and customer programs
• Bachelor's degree in Technology, Engineering, Computer Science, or Business Management

Nice to Have

• Experience with Salesforce, ServiceNow, Microsoft Dynamics, Oracle CX, or other CRM platforms
• Exposure to AI implementations involving LLMs, RAG, Agentic AI, and Knowledge Management systems
• Experience supporting Field Service organizations, Service Operations teams, or Technical Support environments
• Understanding of APIs, integrations, and enterprise data ecosystems

What Success Looks Like

• Customers successfully adopt and scale Neuron7 AI solutions
• AI-powered workflows drive measurable improvements in service KPIs
• Strong executive relationships and customer advocacy
• Successful enterprise deployments and long-term customer retention
• Expansion of AI use cases across customer organizations

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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.