100% Free for Job Seekers
Mydatainputjob

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

Remote / Work From Home Remote (India) Full time See experience in job description

Salary not disclosed

Posted 5mos ago

Last seen in source 14 Nov 2026

Listing review date 18 Nov 2026 (not an application deadline)

Role Highlights & Quick Spec

Salary

Not disclosed

Experience

See experience in job description

Work Mode

Remote

Job Type

Full time

Location

Remote (India)

Education

See qualifications in job description

Openings

Not specified

Job Description

Neuron7 is hiring a Technical Manager – Customer Success (AI Field Services | AI & ML) | USA-Remote in Remote (India). This is a full time role with remote work. Salary is not disclosed in the listing. The original listing was published on Neuron7 and may include more detail about the shift, interview process and joining date. Confirm the salary, work mode and joining date directly with the employer before sharing any documents.

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
  • 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.

This job listing was originally published on Neuron7 .

Similar openings you might like

Explore related roles in Customer Support

View all →

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

Salary not disclosed

We use cookies for sign-in and security. When enabled, advertising and analytics providers may also use cookies. See our Privacy Policy for details and available opt-out controls. Privacy Policy.