Search the 13 jobs at Netomi

The Data Analyst will develop automation scripts using Python, optimizing workflows and integrating APIs. Responsibilities include troubleshooting, documentation, performance monitoring, and collaboration with various teams, while also mentoring junior developers.

The Product Manager at Netomi will lead the development of features powered by Large Language Models and AI technologies, collaborating with enterprise clients to understand their needs, managing cross-functional teams, driving innovation, and overseeing projects from conception to delivery.

Seeking a talented Prompt Engineer to design, optimize, and evaluate prompts for AI models, collaborating with data scientists and stakeholders at Netomi AI. Must have a strong NLP and machine learning background, proficiency in Python, and experience with AI prompt engineering. Preferred experience with large language models like GPT-3 and GPT-4.

Senior Data Scientist role at Netomi AI, focusing on NLP and machine learning projects. Responsible for developing and deploying ML models to solve complex business problems, analyzing large datasets, integrating ML solutions into products, and staying updated with the latest technologies.

As a Data Scientist at Netomi, you will drive NLP and machine learning projects, develop models for predictions and summaries, collaborate with cross-functional teams, and stay updated on the latest ML and NLP technologies.

Design, develop, and deploy machine learning models and algorithms for NLP and deep learning at scale to solve complex business problems. Collaborate with Product & Engineering teams to integrate machine learning solutions into products and services. Architect and implement scalable software systems and infrastructure on AWS or GCP. Conduct experiments, test hypotheses, and provide technical mentorship to junior team members.

Lead Software Development Engineer in Test (SDET) role focused on designing, implementing, and maintaining automated test frameworks using Java. Responsible for ensuring software quality and reliability through collaboration with cross-functional teams. Leadership experience in team management is preferred, along with mentoring junior team members and contributing to test automation strategies and processes.

The L2 Support Engineer at Netomi AI will be a Subject Matter Expert on Netomi’s offerings and responsible for resolving technical issues, collaborating with teams, and improving support processes. This role requires 5-6 years of experience in technical support, proficiency in Java and HTML, and familiarity with Zendesk and API integrations.

Seeking a seasoned SDET to ensure quality of AI-based conversational products, monitor quality assurance process, provide data quality awareness, evaluate model accuracy, and prepare detailed testing feedback.

As a Senior Product Designer at Netomi AI, you will be responsible for conducting user research, creating wireframes and prototypes, collaborating with cross-functional teams, and ensuring a great user experience for the Netomi platform. You will play a key role in driving the design of AI-driven customer experiences.

As a Data Engineering Manager at Netomi AI, you will plan and execute SOA backend platforms, lead teams in software development best practices, and drive product vision. You will analyze complex data trends, manage product operations performance, and collaborate with multidisciplinary teams to influence technical roadmaps and development policies.

The Implementation Consultant at Netomi AI will configure and implement SaaS solutions for clients, collaborating closely with various teams to ensure successful project delivery. Responsibilities include scoping projects, conducting discovery calls, leading technical activities, performing complex configurations, and providing data-driven insights to enhance customer experience. The role demands strong communication skills and proficiency in client management, with a focus on driving efficiency.

As a Customer Success Manager at Netomi AI, you'll drive product adoption and customer satisfaction for strategic clients, serve as a trusted advisor, collaborate with teams across the organization, and engage with product teams to provide feedback and enhance customer experience.