Principal Product Manager - Conversational AI
Equinix (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–65 LPA
Posted 13h ago
Reach people at Equinix
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Equinix you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the product strategy and roadmap for Equinix's conversational AI and assistant platforms including chat, voice, and agentic interfaces.
- Collaborate with engineering, architecture teams, and executives to evaluate AI technologies and translate technical decisions into business implications for enterprise-scale deployment.
- Lead product decisions balancing business value, delivery speed, technical complexity, cost, performance, and risk, ensuring reliability, security, and responsible AI compliance.
Minimum Requirements
- Advanced degree (Master's or PhD) in Computer Science, Data Science, Engineering, or related technical field.
- Experience with conversational AI platforms and models from providers like OpenAI, Anthropic, Google, or open source, including agent frameworks and orchestration tooling.
- Experience defining system requirements for availability, latency, performance, monitoring, and operational support for conversational AI.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Strategic thinker with deep expertise in conversational AI technologies including dialogue systems, multi-agent coordination, and enterprise cloud deployment.
- Experience bridging technical and business domains, effectively communicating complex AI concepts to executives and cross-functional leaders.
- Proven ability to lead product decisions focusing on enterprise scale, security, responsible AI practices, and measurable business impact in technology or telecommunications environments.