Product Manager, Model Behavior

Product Manager

We're seeking an exceptional Product Manager to drive model quality and behavior excellence for our text-to-speech and speech-to-text products at Cartesia. As our Model Behavior PM, you'll be the bridge between our customers' needs and our model development teams, defining what world-class TTS and STT models should sound like, perform like, and feel like. This role combines deep analytical rigor with customer empathy to continuously elevate our model quality and establish Cartesia as the gold standard in voice AI.

Your Impact

Define and evolve comprehensive evaluation frameworks for TTS and STT model behavior, establishing clear metrics for naturalness, accuracy, prosody, emotion, latency, and user satisfaction across diverse use cases.

Conduct systematic competitive analysis by deeply using our products alongside competitors' offerings, identifying quality gaps, behavioral differences, and opportunities for differentiation.

Partner closely with data teams to design data collection strategies, labeling guidelines, and dataset curation approaches that directly improve model behavior and performance.

Collaborate with evaluation teams to build rigorous testing methodologies, automated evaluation pipelines, and human evaluation protocols that catch edge cases and quality regressions.

Engage directly with customers across industries to understand their voice AI requirements, gather qualitative feedback on model behavior, and translate insights into actionable product improvements.

Drive cross-functional alignment between research, engineering, data, and GTM teams to prioritize and execute on model behavior improvements that deliver maximum customer impact.

Build a deep intuition for what makes TTS and STT models truly greatfrom subtle pronunciation nuances to handling of edge casesand champion quality standards across the organization.

Create frameworks, documentation, and best practices that help internal teams and customers understand model capabilities, limitations, and optimal usage patterns.

What You Bring

6+ years of product management experience with technical products, preferably in AI / ML, audio, or speech technologies.

Strong analytical mindset with experience designing evaluation frameworks, defining success metrics, and making data-driven quality decisions.

Deep customer empathy with proven ability to conduct user research, synthesize qualitative feedback, and translate needs into product requirements.

Technical fluency to work effectively with ML researchers, data scientists, and engineersunderstanding model behavior at a detailed level.

Exceptional attention to detail and quality standards, with the ability to notice subtle differences in model outputs and articulate what makes one better than another.

Experience working cross-functionally with data teams, engineering teams, and evaluation / testing teams.

Strong communication skills to advocate for quality and influence technical teams toward customer-centric decisions.

Nice to Have

Direct experience with speech technologies (TTS, STT, voice cloning, or conversational AI).

Background in linguistics, audio engineering or speech sciences.

Experience with ML model evaluation, A / B testing methodologies, or human evaluation design.

Familiarity with audio quality metrics (MOS, WER, CER, prosody analysis).

Prior experience at a company known for exceptional product quality and attention to detail.

What We Offer

Lunch, dinner and snacks at the office

Fully covered medical, dental, and vision insurance for employees

401(k)

Relocation and immigration support

Your own personal Yoshi

Our Culture

We're an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.

We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don't sacrifice quality or design along the way.

We support each other. We have an open & inclusive culture that's focused on giving everyone the resources they need to succeed.