Overview
Technical lead for Customer Success on Neuron7.ai's AI-powered Resolution Intelligence platform, acting as a trusted advisor who drives implementation, adoption, and optimization of AI solutions for enterprise customers.
What you'll do
- Lead customer onboarding and implementation of Neuron7 AI solutions
- Lead integration of CRM and service management platforms with Neuron7 products
- Lead data onboarding and enterprise integrations in collaboration with customer and internal engineering teams
- Deploy, configure, test, and drive adoption of AI solutions
- Run customer workshops and technical solution reviews
- Define and measure ROI, business outcomes, and adoption KPIs
- Lead AI-powered service transformation initiatives for customer service and field service teams
- Manage executive stakeholders and customer success planning
- Manage contract renewals, expansion opportunities, and cross-functional collaboration with sales teams
- Provide product feedback and enhancement recommendations based on customer requirements
- Demonstrate new AI, Agentic AI, and Resolution Intelligence capabilities
What you'll need
- 8 years of experience in Customer Success, Solutions Engineering, Technical Account Management, Professional Services, or Enterprise SaaS implementations
- Proven experience 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
Details
- Location: Bangalore
- Flexible hybrid working
Read the full description and apply on the company’s own careers page.