Product and Research Operations Manager, Voices

The role

This person will run the operational backbone of the Voice function by supporting voice production, talent sourcing, and voice delivery. They will work alongside the Voice Production Lead and Voice Library Lead to support various work-streams and growth initiatives.

What you will do

• Support execution of voice production runs
• Own day-to-day production and library health reporting
• Build automations to streamline processes
• Build systems to source, vet, and create voices with talent and vendors
• Own customer-facing voice engagements end to end
• Drive voice-related GTM enablement
• Support ad-hoc strategy and operations work for modeling products
• Support growth in international markets on a project by project basis

Required qualifications

• 3 - 6 years as an operator at a high-growth tech startup or in strategy consulting (MBB or similar)
• High agency
• Customer-facing chops
• Semi-technical
• Comfortable using tools like Cursor, Claude Code, etc to build lightweight systems
• Understands core concepts of system design
• Genuine interest in operating with founder-level hunger
• Real enthusiasm for voice and audio technology

Nice to have

• Experience in the AI industry, especially in AI Strategy and Operations or Product Operations roles
• A track record of going out of your way to get things done proactively
• Builds lightweight systems autonomously
• Detail-oriented under volume
• Credible in front of GTM teams and customers without needing a lead in the room

Benefits

• Competitive base salary
• Attractive equity package
• Fully covered medical insurance along with dental and vision for you and your family
• 9 weeks paternity leave
• 12 weeks maternity leave
• 401(k)
• Monthly commuter stipend
• Flexible PTO
• Lunch, dinner and plenty of snacks provided daily
• Your own personal Yoshi

Before you apply

• Visa sponsorship is provided and assessed on a case-by-case basis

About the company

Cartesia aims to architect AI that learns from and interacts with the world like humans do. The founding team met as PhDs at the Stanford AI Lab and invented State Space Models.