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Technical Manager – Customer Success (AI Field Services | AI & ML) | USA-Remote

neuron7
Companyneuron7
CategoryData & Analytics
LocationRemote
RemoteRemote
EmploymentFull-time
LevelManager
SalaryNot stated by the employer
Posted29 May 2026
Last verified9 Aug 2026
SourceEmployer ATS (lever)
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Description
Technical Manager – Customer Success (AI Field Services | AI & ML) – Enterprise AI & SaaS Platform Note: Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of employment visas at this time. 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. About the Role 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 You will lead: 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