Artificial Analysis, Inc.
Product Manager (AI Speech)
San Francisco (On-site)
Sponsorship not specifiedDetected 41 days ago
PythonGitMachine LearningTensorFlowPyTorchPandasNumPyData AnalysisData ScienceLLMsAccessibilityProduct StrategyCommunicationCritical ThinkingWriting
About the role
- We're hiring for a Product Manager focused on AI speech (text-to-speech, speech-to-text, voice cloning, real-time voice, and more).
- You'll write and run experiments, curate datasets and prompts, and work with top companies in the field to benchmark their latest models.
- If you're excited about cutting-edge speech models and care deeply about how developers and creators are using them (from app builders to content creators to accessibility applications), this role offers a front-row seat to the next wave of AI.
Responsibilities
- Product Development for Speech AI Benchmarking: Contribute to Speech AI product strategy and help execute the roadmap for our speech evaluation platforms, including text-to-speech, speech-to-text, voice cloning, and emerging capabilities - including working with engineers on our team to develop features and potentially coding features yourself
- Curate and Develop Speech Evaluation Frameworks: Build and maintain comprehensive frameworks, prompt libraries, and evaluation techniques that reflect real-world usage patterns to test the capabilities, strengths, and weaknesses of speech models.
- Strategic Marketing Support and Community Engagement: Help amplify the impact of our speech benchmarks, collaborating with our team to maximize impact of our content across platforms and audiences
- Become AI-Native: Embrace an AI-native workflow, using the latest AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking
Requirements
- Experience working in a product role at a voice/audio software company (e.g. ElevenLabs, Descript, Resemble AI) or in a startup environment
- Experience in strategy consulting
- Academic success in a technical degree programme, especially related to AI (e.g. Computer Science, Engineering), or in a related technical field (e.g. Physics, Maths, Linguistics)
- Experience working in software engineering or data science
- Proficiency in Python and data analysis libraries (e.g. pandas, numpy, matplotlib)
- experience with AI/ML frameworks (e.g. PyTorch, TensorFlow)
Compensation
- Competitive compensation including equity
Benefits
- Competitive compensation including equity
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