Senior Product Manager, Conversational AI & Voice Automation

POSITION SUMMARY:

The Senior Product Manager will be responsible for driving the strategy, development and optimization of voice-based automation experiences powered by Generative AI. We are seeking an innovative, entrepreneurial product leader with direct experience in building, deploying and scaling voice automation products - including virtual agents, conversational IVRs, or multimodal AI assistants - to enhance patient, provider, and internal operational interactions.

 

In this role, you will collaborate closely with cross-functional teams across Natera to design, build, and launch AI-driven voice solutions that reduce friction, improve service quality, and deliver measurable business impact. If you’re passionate about building the next generation of natural, human-like voice experiences using Generative AI, this is the role for you.

 

PRIMARY RESPONSIBILITIES:

• Lead the vision, strategy, and roadmap for Natera’s voice automation initiatives, including AI voice agents, speech-to-text and text-to-speech integrations, and conversational intelligence features.

• Identify and prioritize high-value voice automation opportunities across patient, provider, and internal support journeys.

• Collaborate with engineering and design teams to define product requirements (PRDs, user stories, user flows) and deliver scalable, high-quality AI voice solutions.

• Evaluate and integrate third-party technologies (e.g., LLMs, ASR/TTS engines, voice analytics) to accelerate development and improve performance.

• Develop and track success metrics (e.g. accuracy, latency, resolution, NPS) to measure impact and identify continuous improvement opportunities.

• Partner with business and operations teams to ensure seamless adoption and workflow integration of new AI features.

• Stay ahead of emerging trends in Generative AI, conversational AI, and voice UX to inform product strategy and innovation roadmap.

 

QUALIFICATIONS:

• Proven, hands-on experience designing, launching, and scaling voice automation or conversational AI products, such as AI-powered IVRs, virtual assistants, or multimodal LLM voice interfaces.

• Deep understanding of Generative AI, LLMs, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and retrieval-augmented generation (RAG) architectures.

• Experience in AI model evaluation, data cura