Jobs at Netomi

Lead end-to-end delivery of enterprise Agentic AI solutions: run discovery workshops, design AI agent workflows and integrations, coordinate cross-functional teams, ensure QA and production readiness, and drive continuous optimization and governance to meet business KPIs.

The VP, Head of People will lead HR functions, define people strategies, enhance company culture, and scale talent acquisition while ensuring compliance and performance management.

Develop and maintain full-stack features using Node.js and React/Vue.js, collaborate on product features, debug issues, and contribute to cloud workflows.

Manage end-to-end employee lifecycle and HR operations, including onboarding/offboarding, HRIS data accuracy, payroll support, benefits administration, performance review coordination (Lattice), learning & development, employee engagement, HR analytics and compliance. Drive process improvements and deliver timely HR reporting and initiatives to improve engagement, retention, and operational accuracy.

The SDET II role involves testing AI-based products, ensuring quality standards, and collaborating with teams to improve models. Candidates should have experience in manual and automation testing, API testing, and a Bachelor's degree in a relevant field.

As an L2 Support Engineer, you will manage technical support tasks, oversee troubleshooting incidents, and coordinate customer inquiries while mentoring junior staff.

The Senior Product Manager will oversee the product strategy for Autonomous Agents, defining functionality, driving cross-functional alignment, and ensuring effective deployment and monitoring of AI agents across channels.

The Technical Customer Success Manager is responsible for client onboarding, ongoing support, troubleshooting, relationship management, and product training, ensuring clients optimize their use of AI virtual agents.

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.

Build and scale agentic AI workflows on a no-code platform by designing LLM prompts, integrating REST APIs/webhooks, implementing tests, and applying resilient system design patterns to deliver production-grade autonomous agent solutions.

Build and scale autonomous, LLM-driven agent workflows using Netomi's no-code platform. Design high-quality prompts, integrate external/internal APIs, implement unit tests, and apply resilient engineering patterns for reliable, cost-efficient agentic automation. Collaborate with Product, QA, and Delivery to ship production-grade solutions.

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

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 HR/People Operations Specialist ensures efficient HR operations, manages employee lifecycle processes, maintains compliance, and enhances employee experience in a high-growth environment.

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

Develop and manage platform features for integrations with customer service platforms. Collaborate with engineering and various teams to ensure successful delivery and product functionality.

Lead and enhance accounting function focusing on monthly close, GAAP accrual accounting, and robust financial controls. Collaborate with cross-functional partners and prepare for audits.

The Finance Operations Lead will oversee customer billing, collections, finance processes, and improve operations through automation. They will implement workflows and maintain customer service standards while collaborating with accounting teams.

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.

Lead global quality engineering and testing practices for AI-driven SaaS products, enhance automation, and ensure high-quality releases through effective strategies and collaboration.