The Agentic Solutions Architect will design and deploy AI solutions for enterprise customers, manage integrations, and ensure project success through collaboration with various teams.

The SDET will test AI-based products, improve quality assurance processes, and provide feedback to enhance AI models. Responsibilities include manual and automation testing and API testing.

The Documentation Engineer will enhance documentation infrastructure, implement CI/CD workflows, and enable interactive documentation for developers, collaborating with writers, product managers, and engineers.

Customer-facing role driving enterprise AI deals ($200K+ ARR). Manage strategic accounts, create tailored content and demos, lead executive AI conversations, coordinate stakeholders, orchestrate deal strategy, and manage pilots/POCs while developing AI positioning and supporting adoption.

The Agentic Solutions Architect will design and deploy AI solutions for enterprise customers, focusing on automation, integration, and delivering high-quality projects with measurable impact.

The role involves testing AI conversational products, improving quality assurance processes, and providing feedback for enhancing model accuracy.

Lead design and optimization of end-to-end conversational experiences across chat, voice, SMS, and email. Engage with clients on CX strategy, craft and iterate prompts/system instructions, define tone governance, handle multi-intent and context, analyze live performance, and maintain reusable conversation libraries.

Develop and apply NLP and ML methodologies for enterprise customer experience: build and evaluate statistical and deep learning models, implement information extraction and retrieval solutions, work with NLP frameworks, collaborate across teams, and advise on project roadmaps.

Design intuitive AI-driven experiences for the Netomi platform. Collaborate with teams and conduct user research to create and iterate on designs. Ownership of design work and execution with a focus on quality is essential.

Seeking a Senior Software Engineer to manage front-end UI modules, ensure technical feasibility of designs, and collaborate with backend teams. Requires strong JavaScript, Vue.js or React expertise, plus 3-6 years experience in UI development for B2B SaaS apps.

The role involves engaging senior decision-makers, supporting sales strategy, managing outreach workflows, and preparing sales materials for enterprise accounts.

The Senior Implementation Consultant will manage implementation for enterprise customers, design and deploy AI solutions, lead discussions, and ensure project documentation and efficiency improvements.

As an SDE III - Backend, you will design, develop, and optimize backend systems, working closely with teams to build scalable services using Java and Spring Boot while implementing modern technologies and best practices.

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 Technical Writer will produce customer-facing documentation for enterprise software, ensuring clarity, accuracy, and alignment with product changes while collaborating with product teams.

Develop and scale AI workflows and tools using a no-code platform, focusing on prompt engineering and API integration, while collaborating with teams to ensure performance and reliability.

The Incident Manager leads and coordinates incident responses, ensuring effective resolution of critical issues and minimizing impact on operations, while managing communication with executives and cross-functional teams.

As an Agentic Product Analyst, you will design and implement AI solutions for enterprise customers, ensuring successful integration and deployment. You will map workflows, validate solutions, and collaborate with various teams to enhance customer experience and efficiency.

Lead the product development of analytics and conversational BI for agentic customer experiences. Collaborate with Data Science and Engineering to establish usability and governance metrics, ensuring effective enterprise analytics applications.

Recruiter role focused on US hiring across technical and business functions, managing end-to-end hiring processes, and building talent pipelines.