Product Engineer

About our Engineering team At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.About this role As aProduct Engineerat David AI, you'll build cutting-edge tools that help our users make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our this role, you willShip full-stack featuresthat thousands of users will interact with daily.Build scalable systemsto create core data processing pipelines that derive actionable insights from terabytes of audio data every day.Build, deploy, and evaluate LLM and DSP based solutionsto increase our customers’ understanding of nuanced features across our datasets.Iterate rapidlyon our research hypotheses by working closely with researchers and our Operations team to deploy interfaces to collect new data.Stay up-to-date with cutting edge technologies and frameworksto apply to our current product offering across software engineering, data engineering, machine learning, and signal processing.Your background looks like2+ years of product-focused full-stack engineering experience.Strong full-stack web development fundamentals with experience in creating rapid prototypes, as well as building solutions that scaled to many users.A proven track record of delivering engineering solutions that contributed value to customers.Experience working in a high-pace environment that constant progress was enabled by detail-oriented execution.Emphasis on building intuitive products and experiences that resonates with users and has built highly polished production-grade products.AI/ML or audio experience is not required but you should be excited to learn.Bonus points if you haveEducational or professional experience with digital signal processing and a deep understanding of speech.Experience building and deploying ML models in a production environment.Led (managed or tech-led) engineering teams in high-growth environments.Some technologies we work withNext.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, pensation and benefitsRapid career growth at one of the fastest growing Series A companies, within a new and booming petitive salary and equity package.Flexible PTO policy.Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.Paid lunch and dinner in the office, every day through DoorDash.401k access.#J-18808-Ljbffr

Created: 2026-02-20