Jobs at Neuron7.ai

Own the full enterprise sales cycle for Neuron7.ai’s AI-powered Service Resolution Intelligence platform. Responsibilities include prospecting, executive discovery, strategic account planning, ROI development, technical evaluations, negotiation, procurement, and closing new-logo enterprise deals. The role targets high-tech, manufacturing, and medical device organizations, requiring independent pipeline generation, accurate forecasting, executive relationship management, and collaboration with solution consultants, architects, product, and customer success teams.

Own regional enterprise revenue and go-to-market strategy for AI-powered field service solutions. Lead pipeline generation, forecasting, territory planning, major new-logo deals, and C-level relationships. Hire, coach, and retain Account Executives while driving disciplined sales execution across high-tech, manufacturing, and medical device industries. Lead strategic enterprise sales cycles and position Agentic AI and automation solutions for complex service operations.

Lead frontend development for Neuron7’s AI-driven web and hybrid mobile platforms. Build reusable Angular components, web components, embeddable widgets, configuration-driven interfaces, and shared libraries. Collaborate with product, UX, and backend teams; support integrations and releases; establish frontend standards; optimize performance; and mentor engineers through technical guidance and code reviews.

Build and enhance Angular and TypeScript features, reusable UI modules, and web components. Partner with product and backend teams to integrate APIs, apply UX and accessibility best practices, support customer deployments, troubleshoot releases, and debug frontend and Java backend issues. Serve as the UI contact for enterprise customers and contribute to AI-powered product features.

Lead architecture and development of scalable backend and full-stack features for AI-native products, build agentic AI workflows and orchestration, design distributed systems and APIs, ensure security and performance, troubleshoot production, and mentor engineers.

Design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows; deploy and maintain LLM/NLP/RAG capabilities in cloud environments; troubleshoot production issues; lead customer-facing implementations and mentor engineers to deliver scalable, reliable solutions.

Lead implementation of Python-based backend integrations and data pipelines to deploy LLM/NLP/RAG solutions for enterprise clients. Configure cloud deployments, ensure reliability and observability, troubleshoot production issues, and collaborate with Customer Success, ML, and engineering teams. Mentor juniors and document implementation playbooks.

Entry-level frontend role building responsive, accessible UI features from Figma designs. Implement pixel-accurate components, debug cross-browser issues, document components, and collaborate with designers and backend engineers to ship features end-to-end.

The Product Manager will lead the strategy and execution of agent product experiences, collaborating with teams to enhance AI diagnostics and optimize service workflows.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Design and deliver enterprise-grade AI/GenAI solutions on Salesforce or ServiceNow. Lead RAG pipelines, LLM workflows, NLP automation, and vector retrieval integrations. Architect scalable API/microservice integrations, ensure performance, security, and reliability, and define AI governance and guardrails. Collaborate with product, engineering, and customers through discovery, workshops, and demos to operationalize AI for Field and Customer Service workflows.

Lead customer-facing technical implementations of enterprise AI solutions: design architectures, build integrations and scalable backend services (Java/Python), configure RAG and AI agents, troubleshoot production issues, mentor engineers, and collaborate across product, AI research, and customer success to deliver and optimize deployments.

Provide high-level administrative support to senior leaders: manage complex international calendars, coordinate meetings and travel, prepare agendas and materials, track project milestones and action items, coordinate cross-functional initiatives and events, handle confidential communications, and improve administrative processes to increase operational efficiency.