
Principal Product Manager, CRM Voice AI
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in California.
• Directly manage one customer pod while collaborating with one to two additional pods, providing product guidance and removing obstacles for teams.
• Establish and maintain relationships with customer leadership teams, setting timelines and expectations, and ensuring successful delivery.
• Take ownership of agent design, development, and assessment in collaboration with forward-deployed engineers.
• Manage evaluation and experimentation of STT and TTS models for CRM Voice AI.
• Conduct structured assessments using real production workloads.
• Work alongside the platform voice team to make informed decisions regarding speech models.
• Promote experimentation across the customer landscape.
• Identify key capabilities and conversation designs to prioritize and develop for specific industries.
• Create playbooks to facilitate CRM Voice AI market entry into new sectors.
• Share insights from pod experiences to inform the platform roadmap and develop repeatable productized assets.
• Over 8 years of experience in product management.
• Recent experience in voice AI, conversational AI, or speech technology.
• Practical experience in developing and evaluating AI agents.
• Familiarity with conversation design, prompt engineering, testing, and iterating based on actual user interactions.
• Working knowledge of speech models, including ASR architectures and TTS synthesis methods.
• Experience in evaluating or deploying speech models in a production environment.
• Comfort with experimental methodologies and evaluation techniques.
• Experience with telephony integration, including SIP, call transfers, IVR systems, or CCaaS platforms.
• Proven history of working directly with enterprise customers on technical products.
• Ability to switch contexts between technical model evaluations and customer-facing product responsibilities.
• Hands-on experience benchmarking across various ASR or TTS providers is a plus.
• A background in machine learning or audio/speech engineering is advantageous.
• Industry knowledge in telecommunications, financial services, travel, or healthcare is preferred.
• Equity (when applicable)
• Variable/incentive compensation
• Health plans
• Flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan
• Family leave programs
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