Design and implement high-quality prompts for LLM-based agents while building scalable workflows using no-code platforms. Integrate internal and external APIs while ensuring system reliability through rigorous testing and debugging.
The Senior Customer Architect will own the technical architecture and success strategy for complex enterprise accounts, ensuring seamless integration and adoption of AI agent platforms. They will act as a trusted technical advisor to senior stakeholders while mentoring internal teams and establishing prescriptive deployment playbooks.
The Principal Customer Architect will design end-to-end agentic AI architectures and set governance standards for high-stakes enterprise deployments. They will act as a trusted technical advisor to senior stakeholders while mentoring staff and driving technical success across the customer portfolio.
The HRBP will partner with US business leaders to translate organizational priorities into effective people strategies and provide guidance on workforce planning and team effectiveness. They will also manage employee relations, performance management, and organizational culture initiatives to support a high-growth environment.
You will own key UI modules and front-end build systems while ensuring the technical feasibility of designs. You will also collaborate with backend, data science, and DevOps teams to implement APIs and optimize application performance.
You will design and build production-grade agentic AI systems and architect complex workflows involving reasoning, tool use, and retrieval. Additionally, you will develop evaluation systems for LLMs and partner with cross-functional teams to translate AI capabilities into reliable platform features.
The Solution Engineer will design and implement agentic AI workflows by integrating generative AI with enterprise systems to solve complex customer challenges. They will also collaborate with account executives to create technical demonstrations and proofs of concept that showcase the platform's value.
The Prompt Engineer will design, optimize, and benchmark client-specific prompts to enhance AI performance within the agentic framework. They will collaborate with Customer Success and Data Science teams to develop effective AI solutions and maintain clear documentation.
Design, prototype, and deliver AI-powered agentic solutions to solve complex business problems for internal and client-facing use cases. Collaborate with cross-functional teams to translate requirements into scalable designs and evaluate model performance and business impact.
The role involves conducting formative and validation research to shape product strategy and ensure design effectiveness for an AI platform. The researcher will collaborate with cross-functional teams to turn customer pain points into actionable UX improvements.
Lead the end-to-end design of foundational platform initiatives, specifically focusing on the customer-facing control tower for AI agent governance. Drive the transition to a product-led growth (PLG) model by designing self-serve onboarding and in-product education experiences.
Design and architect scalable, high-performance backend systems for the core platform while optimizing for low latency and high throughput. Lead technical design discussions, mentor senior engineers, and ensure platform resilience and observability.
Lead the global HR function by defining people strategies, scaling organizational design, and managing talent acquisition. Oversee culture, performance management, and total rewards to support a high-growth AI enterprise.
Manage the end-to-end employee lifecycle, including onboarding, offboarding, and HR operations. Oversee performance management, learning and development programs, and employee engagement initiatives to support a high-performing workforce.
The role involves designing and deploying large-scale Agentic AI solutions by translating complex business processes into AI-driven workflows. You will act as the strategic owner, managing integration blueprints and guiding enterprise customers through their autonomous AI transformation.
The role involves owning key UI modules and translating designs into high-quality, reusable code. You will collaborate with Backend, Data Science, and DevOps engineers to implement APIs and optimize application performance.
Lead the technical delivery and design of production-grade Agentic AI solutions for enterprise customers. Manage the complete deployment lifecycle from discovery and architecture to implementation and continuous optimization.
Design and implement high-quality prompts and agentic workflows using a no-code platform to power autonomous AI agents. Integrate internal and external APIs while ensuring system reliability through engineering best practices and performance optimization.
Design and implement high-quality prompts and agentic workflows using a no-code platform to power autonomous AI agents. Integrate internal and external APIs while ensuring system reliability through engineering best practices and performance optimization.
The role involves owning enterprise client onboarding for agentic AI implementations and designing optimized prompts and conversation flows. You will analyze conversation data to drive improvements in AI performance, containment, and resolution quality.
The role focuses on building and scaling the partner enablement function by designing training and certification programs. It involves driving partner activation and alignment to ensure Netomi is the preferred solution within the partner ecosystem.
Drive revenue through partner ecosystems and cloud marketplaces by designing and executing comprehensive channel enablement strategies. The role focuses on accelerating deals, managing marketplace transactions, and unlocking committed cloud spend across AWS, Azure, and GCP.
Drive revenue by leading technical sales cycles, designing scalable enterprise architectures, and managing POCs for partners and customers. Enable system integrators and technology partners through training, workshops, and the creation of repeatable technical assets.
Architect and implement scalable backend services and data pipelines using Java, Spring Boot, and modern data platforms. Collaborate with cross-functional teams to design data models and perform exploratory data analysis to drive product improvements.
The role involves designing and executing scalable SOA backend platforms using Java and REST-based frameworks. You will also manage defects, handle non-functional requirements like performance and security, and perform DevOps tasks on AWS.
The Finance Operations Lead will manage the end-to-end customer billing lifecycle, including contract setup, invoicing, and collections. They are also responsible for optimizing finance operating processes, vendor management, and implementing automation to improve accuracy and efficiency.
The role involves leading the accounting function, managing monthly financial closes, and transitioning the company to disciplined accrual-based accounting. You will also design accounting policies, improve internal controls, and oversee financial workflows including AR, AP, and revenue recognition.
The role involves becoming a Subject Matter Expert on Netomi's offerings, resolving tickets via Zendesk, leading incident management, and assisting with production setups in client environments. Responsibilities also include improving internal processes and owning SLA reporting.
