1. Own Core ConvoAI Product Areas
Take product ownership of several foundational ConvoAI components. Define the product
vision, roadmap, requirements, priorities, and success metrics for these areas.
2. Drive End-to-End Product Execution
Lead the full product lifecycle from discovery to launch and iteration, including:
• PRD and API requirement definition
• Cross-functional alignment with engineering, design, solution architecture, sales, and customer success
• Release planning and go-to-market support
• Post-launch adoption, feedback analysis, and continuous improvement
3. Partner with Engineering on AI Platform Design
Work closely with engineering teams to shape scalable, extensible, and reliable product
architecture for real-time conversational AI use cases.
• API design and developer experience
• SIP and telephony integration• RAG Design
4. Improve Customer and Developer Experience
Own product experience across both customer-facing and developer-facing workflows.
Responsibilities include:
• Identifying pain points in onboarding, integration, debugging, and production
• Improving API usability and documentation clarity
• Working with internal teams to improve observability
5. Support Enterprise AI Call-Agent and Conversational AI Scenarios
Work with customer-facing teams to understand enterprise requirements across AI call
agents, voice agents, real-time assistants, and multimodal conversational AI use cases.
Translate these requirements into reusable platform capabilities rather than one-off