Principal Product Manager - Voice AI
New
H
HighLevelB2B SaaS, Voice AI
IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 12+ years of product management experience
- Required Skills
- Product ManagementCRM
Requirements
- 12+ years of product management experience owning complex B2B SaaS, Voice AI, or telephony-related products.
- Proven experience operating as a Principal, Staff, or Lead PM in a business-critical product role.
- Demonstrated evidence of defining strategy across multiple teams to deliver sustained commercial outcomes.
- Experience building or operating production AI-agent systems that interact with real customers and business workflows.
- Deep technical fluency in speech-to-text/ASR, text-to-speech, LLM orchestration, function calling, and RAG/knowledge retrieval.
- Familiarity with telephony architecture including PSTN, SIP, and carrier infrastructure.
- Strong judgment in AI evaluation, monitoring, debugging, and production-level system observability.
- Proven experience simplifying technically sophisticated systems for non-technical customer bases.
- Strong systems thinking capabilities to integrate AI, CRM, workflows, and business outcomes into a coherent platform.
- Excellent written communication skills with the ability to produce high-level strategy documents and architectural decisions.
Responsibilities
- Define and drive the long-term vision, strategy, roadmap, and platform architecture for HighLevel Voice AI.
- Own the complete Voice AI lifecycle, including agent creation, prompts, system instructions, voice selection, knowledge management, and telephony integration.
- Develop a deep understanding of customer segments including SMBs, franchises, and call-intensive industries.
- Partner with engineering and AI leadership on critical systems including speech recognition, LLM orchestration, latency, reliability, and carrier integrations.
- Establish a scalable evaluation and release framework to monitor agent quality, response latency, and system performance.
- Define operational metrics and business-outcome success criteria for inbound and outbound voice agents.
- Partner with Legal and Compliance teams on data processing, voice cloning, and platform safeguards.
- Mentor PMs and raise the quality of product strategy and systems thinking across the organization.
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