Jobs at Netomi

Own day-to-day IT operations for a global remote workforce, including end-user support, device and access management, onboarding and offboarding, internal systems administration, security controls, compliance audits, process automation, vendor management, and asset tracking. The role partners with Compliance, Engineering, DevOps, and HR to maintain reliable, secure, and efficient IT infrastructure while supporting growth and regulated-industry requirements.

Owns strategic enterprise accounts, driving retention, renewals, expansion, executive alignment, and measurable ROI for AI deployments. Leads multi-year technical and business roadmaps, complex implementation programs, stakeholder engagement, risk resolution, and executive presentations across Fortune 500 organizations. Requires strong commercial, CX, contact center, technical integration, negotiation, and influencing skills without direct authority. Frequent client-site travel is expected.

Own the strategy and roadmap for Netomi’s enterprise AI Agents platform. Partner with customers, engineering, research, data science, and go-to-market teams to prioritize and ship capabilities. Build agent prototypes, connect APIs and MCP tools, design evaluations, analyze model quality, debug production failures, and establish governance, observability, and rollout practices. Drive measurable outcomes including resolution rate, cost, CSAT, adoption, and revenue expansion.

Provides technical and customer-facing support for an AI platform, resolving Zendesk tickets, troubleshooting Java, JavaScript, MySQL, API, and agent-desk issues, and coordinating incident resolution. The role supports production implementations, monitors SLAs, creates knowledge-base documentation, improves support processes, trains new hires, mentors L1 support staff, and participates in a 24/7 rotational shift.

Designs, deploys, and manages Kubernetes clusters, including RBAC, Helm charts, service meshes, and performance optimization. Builds and maintains CI/CD pipelines using tools such as Jenkins, ArgoCD, and Spinnaker. Develops automation scripts in Python, Ruby, or Golang for provisioning, monitoring, and debugging. Requires Amazon ECS and Terraform experience, cloud platform familiarity, and knowledge of networking and infrastructure management. Chaos engineering experience is a bonus.

Own the design, architecture, and deployment of enterprise Agentic AI solutions. Lead customer discovery, workflow and integration design, technical specifications, implementation support, QA validation, governance, training, and continuous improvement. Partner with customers, product, engineering, integration, QA, and customer success teams to deliver reliable AI-agent deployments and measurable business impact.

The Channel Co-Sell Director drives revenue through partner ecosystems and marketplaces, ensuring effective co-selling and enablement programs for cloud transactions and partnerships.

The Partner Enablement Manager builds and scales partner training, certification, and activation programs to enhance partner engagement and revenue growth.

Build scalable data pipelines and ETL/ELT processes using modern data platforms. Perform exploratory analysis, validate data, develop models supporting analytics and real-time insights, and collaborate with data science, product, engineering, and customer success teams. Write tested Python code, contribute to data quality initiatives, and deliver end-to-end features in an agile environment.

Build scalable data pipelines and ETL/ELT processes using Python and modern data platforms. Perform exploratory analysis, validate data, develop data models, and support analytics and real-time insights. Collaborate with data scientists, analysts, engineers, and product teams while delivering tested, reliable features. The role also contributes to data quality policies, processes, scorecards, and product operations reporting.

Build and maintain scalable, responsive frontend applications and key UI modules. Translate designs into high-quality code, create reusable components and libraries, own frontend build and testing systems, ensure UI/UX feasibility, collaborate with backend, data science, and DevOps teams on APIs, and optimize application performance and scalability.

Own a portfolio of strategic enterprise customers from implementation through renewal. Build success plans, manage adoption and value realization, engage executives, forecast renewals, mitigate churn risk, and identify expansion opportunities with Account Management. Lead business reviews, roadmap discussions, customer escalations, and cross-functional coordination. Translate customer feedback into product priorities and advise executives on agentic AI, generative AI, and enterprise CX opportunities and risks.

Drive revenue through enterprise deals as a Partner Solutions Architect, enabling partners, leading POCs, and designing scalable architectures for Netomi's AI platform.

Build and scale agentic workflows and tools using Netomi’s no-code platform. Design LLM prompts, integrate APIs, implement testing and resilient system patterns, troubleshoot workflows, and optimize AI agents for reliability, performance, cost, and fault tolerance. Collaborate with Product, QA, and Delivery teams to deliver production-grade agentic solutions.

Design, prototype, and deliver agentic AI solutions using ML and generative models. Partner with product, engineering, and delivery teams to build, evaluate, and deploy LLM-based solutions, run experiments and POCs, and communicate technical recommendations to stakeholders.

Lead discovery with enterprise customers to design and deploy agentic AI solutions. Define architectures, integration blueprints, workflows, guardrails, and analytics. Own integration design, validate behavior with QA, guide deployments, train stakeholders, and drive reusable templates and continuous improvement across cross-functional teams.

Own technical architecture and post-sales success for large, multi-brand enterprise accounts using agentic LLM systems. Design integrations, guardrails, observability, and expansion roadmaps across channels (chat, email, voice, SMS). Drive technical adoption, mentor architects, certify partner delivery, run technical reviews, and translate field learnings into product and prescriptive playbooks.

Partner with US business leaders to design and execute people strategies. Advise on org design, workforce planning, employee relations, performance and talent management, engagement, change management, and HR compliance. Drive data-informed decisions, coach managers, support scaling and integration of teams, and ensure consistent, compliant HR practices across the US organization.

The role involves research, solution design, and developing production-grade AI systems, focusing on NLP and large language models. Responsibilities include prototyping LLM applications, conducting experiments, and optimizing model performance.