Service Delivery Manager

Our client is building the future of AI-powered customer engagement, with RAISA, an AI assistant transforming interactions across retail, education, and service industries. Our platform enables businesses and resellers to self-serve, configure, and deploy AI assistants that enhance customer experience. 

We are seeking a highly experienced, hands-on AI-Powered Service Delivery Manager to oversee product development deliverables, refine requirements, and lead DevOps and QA testing. This is a contractor role that requires a blend of strategic oversight and hands-on execution—ensuring the smooth development, testing, and deployment of our AI-powered platform.

What will you do:

·        Oversee the development team’s deliverables, ensuring high-quality execution and adherence to timelines.

·        Work closely with the Product Owner to refine product requirements, aligning technical execution with business goals. Lead DevOps efforts, managing CI/CD pipelines, cloud infrastructure, and deployment automation.

·        Get hands-on with QA testing, ensuring that AI-driven interactions, self-serve workflows, and integrations meet quality standards.

·        Facilitate collaboration across distributed teams, ensuring seamless communication between US-based product leadership and the development teams in India & Eastern Europe.

·        Own service delivery workflows, optimizing AI-powered customer engagement, automation, and self-serve ecosystems.

·        Build SaaS onboarding flows, customer dashboards, and self-service configuration tools, ensuring seamless user adoption.

·        Proactively identify and resolve bottlenecks, ensuring AI services scale efficiently and perform optimally.

What you bring:

·        Experience in AI service delivery, customer success, or product-led growth (PLG) models.

·        Entrepreneurial mindset taking full ownership, automate workflows, and drive adoption.

·        Deep understanding of AI-powered customer engagement, automation, and self-serve ecosystems.

·        Experience building SaaS onboarding flows, customer dashboards, or self-service configuration tools.

·        Familiarity with AI-powered chatbots, voice assistants, and customer experience analytics.

·        Strong DevOps experience—managing cloud infrastructure, CI/CD pipelines, and automated testing.

·        Proven experience leading global development teams, ensuring seamless execution across time zones.

·        Hands-on experience in QA testing and system optimization for AI-powered applications.