Director, Product Management

Redefine the future of customer experiences. One conversation at a time.

At Nextiva, we're reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation.

Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it's through our signature Amazing Service, the technology we create, or the experiences we cultivate, connection is at the core of who we are.

If you're ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong.

Build Amazing. Deliver Amazing. Live Amazing. Be Amazing.

Nextiva is at the forefront of redefining customer engagement with AI-powered communication solutions. We are looking for a Director of Product Management, AI Agents Platform to lead the strategic vision, development, and go-to-market execution of our next-generation agentic platform — enabling intelligent, multi-channel AI agents that deliver seamless communication experiences for businesses.

This is a high-impact leadership role driving the evolution of Nextiva's AI capabilities. You will oversee the product lifecycle for the AI Agent Platform, bridging innovation from our engineering teams with market needs across sales, marketing, and customer success.

Key Responsibilities:

• Define and drive the product vision, strategy, and roadmap for Nextiva's AI Agent Platform, focusing on scalable, modular agentic solutions.
• Lead and mentor a team of product managers across the AI product portfolio.
• Partner with executive leadership to align AI initiatives with company objectives and market differentiation goals.
• Establish clear success metrics for adoption, engagement, and business impact of AI-driven products.

• Deeply understand the agentic AI ecosystem, including intelligent virtual assistants (IVAs), conversational AI, and multi-agent architectures.
• Identify and prioritize use cases such as