Jobs at Netomi

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.

Build and own key UI modules for a high-usage B2B SaaS platform: translate designs into reusable components, implement front-end build and test systems, collaborate with backend, data science, and DevOps teams, and optimize UI performance and scalability.

Design and implement production-grade agentic AI systems and platform components that generate enterprise agents from messy source material. Architect agent workflows (reasoning, tool use, retrieval, guardrails), build evaluation and RAG/embedding systems, diagnose performance issues, and collaborate with product and engineering teams to deliver scalable, reliable AI agent features in AWS.

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.

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.

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.

Build and maintain full‑stack features using Node.js and React/Vue, develop and integrate REST APIs, debug and fix bugs, collaborate with product/design/QA, support deployments, monitoring, and basic AWS cloud workflows, and ensure code quality through testing and reviews.

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.

Design and implement agentic AI workflows and prototypes on the Netomi platform, integrate generative AI with APIs and cloud services, craft prompts and orchestration chains, partner with sales to scope solutions, present technical designs to stakeholders, and feed customer insights into product and engineering.

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 product strategy and roadmap for autonomous conversational agents, translating enterprise needs into technical requirements. Partner with research, engineering, QA, and delivery to define agent reasoning, tool use, observability, failure recovery, and human handoffs. Establish telemetry, evaluation criteria, and release cadences; run post-release learning and cross-functional alignment to deliver reliable, production-grade agent capabilities at enterprise scale.

Design, optimize, test, and benchmark prompts and agent tool descriptions to improve AI performance. Collaborate with Customer Success and Data Science, automate evaluation and testing, document prompt practices, and research new NLP and model-specific prompting strategies.

Design, build, and maintain scalable Java/Spring Boot backend services and APIs. Own integrations, optimize performance and observability, implement messaging/caching, write tests, and deliver reliable microservices in a fast-paced startup environment.

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.