Product EngineerFull-time | On-site | San Francisco, CA$140k – $220k + EquityAbout the CompanyThis is a rare opportunity to join a fast-growing Series A startup that’s redefining how AI interacts with the real world. The company is pioneering the field of audio data research, building the infrastructure to collect studio-grade audio data at unprecedented scale across every language and geography. Their mission: to unlock the full potential of AI by providing the highest quality, most diverse audio datasets available.Founded in 2024 by a team of former engineers and operators from a leading AI data company, the team has already secured $25M in funding from top-tier investors (including First Round Capital, Y Combinator, and SV Angel), and counts most major tech companies and AI labs among its customers. In just six months, they’ve exceeded 7-figures in revenue and built the largest corpus of channel-separated speech data on the market—10x the next largest, spanning ~15 languages with rich accent and dialect metadata.The team is lean, ambitious, and execution-obsessed, with a culture that values humility, curiosity, and collaboration. You’ll be joining as one of the first ten hires, with a direct impact on the company’s trajectory and the future of audio AI.About the RoleAs a Product Engineer, you’ll build cutting-edge tools and systems that help users make sense of the audio data powering the next generation of AI models. You’ll work closely with researchers and operations to iterate rapidly on data collection and processing, and ship features that thousands of users interact with daily.You will:Ship full-stack features and products that power the next generation of audio AI.Build scalable systems and core data processing pipelines to derive actionable insights from terabytes of audio data.Build, deploy, and evaluate LLM and DSP-based solutions to help customers understand nuanced features across datasets.Work closely with researchers and operations to iterate on research hypotheses and deploy new data collection interfaces.Stay up-to-date with the latest technologies across software engineering, data engineering, machine learning, and signal processing.Who You Are2–6 years of product-focused full-stack engineering experience.Strong fundamentals in full-stack web development, from rapid prototyping to building solutions that scale.Proven track record of delivering engineering solutions that create real customer value.Experience thriving in a high-pace, detail-oriented environment.Passion for building intuitive, highly polished products and user experiences.Excitement to learn about AI/ML and audio (no prior experience required).Bonus points if you have:Educational or professional experience with digital signal processing and a deep understanding of speech.Experience building and deploying ML models in production.Led (managed or tech-led) engineering teams in high-growth environments #J-18808-Ljbffr