David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily.
As a Research Scientist at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do.
Research, design, and implement solutions using advanced signal processing. algorithms and cutting edge ML models with application to speech and audio.
Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers.
Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models.
Architect systems that enable resilient, durable inference and evaluations.
5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch.
Ability to translate research papers and ideas into high-quality, production-ready code.
Experience deploying ML systems for production inference with cloud technologies.
Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
Ability to assess model quality in the context of user experience and business value.
PhD or Masters in Computer Science or a related field.
Experience training large neural network models in academic or industry settings.
Expertise in audio signal processing both classical and machine learning techniques.
Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale.
This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems.
As General Manager of Data Operations, you will lead one of the most critical functions at David AI. You’ll own a major slice of our Data Factory: the engine that powers high-quality, scalable data production. You’ll lead the team responsible for building and scaling pipelines, from 0→1 experiments that unlock new model capabilities to 1→N industrialization that processes data reliably and efficiently.
Build and lead a team of Data Product Operations Leads, to spin up and scale data pipelines, from early experiments to production systems that generate high-quality audio data at scale.
Act as a thought partner to executive leadership on how we can evolve and scale delivery capabilities in service of customer needs.
Continuously monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning solutions end-to-end.
Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and identify where to scale or invest next.
Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
Partner with our internal research team to design and test new data shapes that unlock frontier model capabilities.
Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at both prototype and production scale.
5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
Technical fluency with data and operations; SQL proficiency required.
Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.
A relentless operator with high standards, bias to action, and strong attention to detail.
Comfortable with ambiguity and rapid pace; thrives in a “build while flying” environment.
Low-ego, collaborative, and mission-driven, focused on team and company success.
Experience in data, ML, or large-scale operations.
Background in CS, industrial engineering, or similar.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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.
As a Staff Software Engineer, Platform at David AI, you’ll work across product surfaces to design clean APIs, build scalable services, and keep our systems performant under the weight of petabytes of audio data.
Design, build, and maintain production-grade backend services that power everything from data collection to customer-facing insights.
Own the architecture and performance of distributed systems that ingest, transform, and serve audio data at scale.
Define and evolve internal APIs and service boundaries to support a growing set of ML and product features.
Build resilient, observable, and easy-to-debug systems with strong performance characteristics.
Collaborate with product, operations, and ML teams to rapidly iterate on new product + research ideas and ship fast.
5+ years backend development building scalable APIs and services.
Proficient with RESTful APIs, service interfaces, and database design (PostgreSQL, MySQL).
Strong understanding of distributed systems and service-oriented architecture.
Extensive cloud infrastructure and infrastructure-as-code experience.
Proficient in profiling, debugging, and optimizing backend systems.
Experience launching systems from ground up in high-growth environments (preferred).
Familiarity with event-driven architectures, async processing, or large-scale data pipelines.
Familiarity with CI/CD pipelines and DevOps best practices.
Built scalable data pipelines that have facilitated large-scale event-driven workflows across large volumes of audio or video data.
Scaled up inference and train compute for large scale workloads in a production setting.
Python, Kuberenetes, Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Our Forward Deployed team works side-by-side with customers on their most critical initiatives, turning complexity into clarity and strategy into action. Embedded deeply within customer organizations and connected tightly to product, research, and engineering, we ensure that every engagement creates meaningful impact for customers and accelerates the evolution of David AI.
David AI is hiring a Deployment Strategist to serve as a trusted partner to customers on their most critical audio AI initiatives, shaping strategy and guiding them on their approach to audio training. You’ll work closely with senior stakeholders to uncover opportunities, define priorities, and design solutions that enable David AI to deliver consistently high-quality outcomes to our customers.
Lead our customer journeys end-to-end, from ideation to launch.
Build and foster strong customer connections and consultative relationships across multiple business units and levels within customer organizations.
Translate customer objectives and collaborate with our research and engineering teams to build actionable strategies that guide long-term success.
Uncover new opportunities within accounts by identifying where David AI’s data and research insights can add value.
Develop and execute strategic account plans that build stakeholder alignment, guide customers through their decision and review process, and advance opportunities with mutual close plans.
4+ years of relevant experience (e.g., deployment strategy, consulting, product or program management, founder, etc.), ideally at a fast-growing startup or technology company.
Familiarity with the AI training lifecycle and have strong technical intuition for what makes high-quality training data for advanced AI systems.
Skill in designing and executing building strategies to effectively capture, grow, and retain revenue.
Demonstrated excellence in verbal and written communication.
Proven project management expertise with high attention to detail and exceptional organizational ability.
Deep experience building and managing cooperative relationships across technical teams and senior executives.
Success thriving in dynamic, undefined situations, contributing to both the design and execution of solutions.
A proven track record in B2B client-facing roles, including opportunity generation and closing complex solutions to technical customers.
Education or professional experience with CS, Engineering, Data Science, Statistics, or other STEM fields.
Proficiency in SQL, Python, or other data science-related programming languages.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Our Product team works at the intersection of research, engineering, and operations to shape audio data products that power modern machine learning models. We translate emerging research into thoughtful, scalable data products, ensuring quality, coverage, and clarity for model builders.
As an Product Manager on the Product team, you will own the strategy and execution for critical parts of our audio data portfolio. You will work closely with Research, ML, Engineering, and Operations to translate model needs into concrete data roadmaps, quality frameworks, and customer-ready deliverables.
Based on interest and background, specialize in specific areas such as data roadmap and expansion, data quality and metrics, and/or evaluation and commercialization.
Own product strategy and roadmaps for audio data products, from research-driven experimentation through scaled production and delivery for model builders.
Translate researcher model training needs into precise requirements for data collection, quality standards, evaluation, and documentation.
Partner closely with Research, ML, Engineering, and Operations to operationalize new datasets and capabilities.
Define metrics and success criteria to guide prioritization and measure impact across quality, coverage, cost, and speed.
Undergraduate degree in Computer Science, Engineering, Data Science, or a related field.
4+ years of experience in product management, data platforms, ML infrastructure, or adjacent technical roles.
Direct experience working across engineering, operations, and research or ML teams.
Strong technical intuition around data pipelines, annotations, evaluation, and ML training workflows.
Analytical and structured, with the ability to turn ambiguous problems into clear plans and tradeoffs.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale.
This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems.
As a Data Product Operations Lead, you’ll help drive David AI’s Data Factory — designing and scaling the pipelines that turn raw audio into high-quality datasets for frontier AI labs. You’ll take ownership of data products from 0→1 prototypes through 1→N scale, working hands-on to build workflows, validate them with researchers, and run them reliably at production scale.
Own end-to-end success of a data pipeline, from early experiments to scaling up production systems that generate high-quality audio data at high volumes.
Design and run pipelines that process a high volume of audio data with reliability, quality, and efficiency.
Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable “data factory” systems.
Monitor and improve pipeline health, spotting and fixing issues in sourcing, quality, or process.
Drive impact with metrics, using throughput, quality, and cost to prioritize and improve.
Take full-stack accountability across operations, product, engineering, and customers, solving bottlenecks and ensuring delivery.
1–6 years in high-intensity environments (e.g. founder, strategy consulting, or venture-backed ops).
Background in strategy consulting, strategic projects, investment banking, operations, computer science, or similar
Systems thinker who can spot leverage points and design for scale and durability.
Strong product intuition, able to work with engineers and researchers to get to the right answer fast.
High-execution operator: fast, detail-oriented, and uncompromising on quality.
Collaborative and low-ego, willing to roll up your sleeves.
A track record of extreme ownership, caring about outcomes over tasks.
Experience in data, ML, or large-scale operations.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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.
As a Full Stack Engineer at 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 data.
Ship full-stack features that thousands of users will interact with daily.
Build scalable systems to create core data processing pipelines that derive actionable insights from terabytes of audio data every day.
Build, deploy, and evaluate LLM and DSP based solutions to increase our customers’ understanding of nuanced features across our datasets.
Iterate rapidly on 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 frameworks to apply to our current product offering across software engineering, data engineering, machine learning, and signal processing.
2+ years of 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.
Educational 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.
Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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.
As a Staff Full Stack Engineer at David AI, you’ll lead our engineering team in building cutting-edge products that help our customers 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 data.
Lead full-stack feature development and iterate rapidly to deliver innovations to our users daily.
Build scalable systems processing terabytes of audio data and deriving actionable insights.
Deploy and evaluate LLM- and DSP-based solutions to enhance customer data understanding.
Drive research iteration and interface deployment for data collection with researchers and Operations.
Mentor engineers and establish technical standards as the team scales.
Stay current with cutting-edge frameworks across software engineering, data engineering, ML, and signal processing.
6+ years of product-focused full-stack engineering experience.
Strong web development fundamentals with experience building rapid prototypes and scalable user solutions.
Proven track record delivering engineering solutions that provide customer value.
Experience in fast-paced environments with detail-oriented execution.
Focus on building intuitive, highly polished production-grade user experiences.
Track record of success in technical leadership or engineering management.
AI/ML or audio experience is not required but willingness to learn is essential.
Educational 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.
Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
About our Technical Product Manager team
Our Technical Product Manager team builds the Data Factory at David AI. We set the strategy for how raw audio becomes high-quality training data, decide what gets built, and own the outcomes: scale, quality, cost, and the experience of our contributors. Working across Operations, Engineering, and Research, we move fluidly across all three to solve some of the most challenging problems at David AI.
About this role
David AI is hiring a Technical Product Manager to own a core part of our Data Factory, from early prototypes through production scale. Depending on your background and where we need you most, that could cover our contributor marketplace, our Operations infrastructure, a new or scaling business unit, or the systems our ML team relies on. You'll need the operational chops to lead complex efforts, the instinct to automate them, the technical ability to build the first MVP yourself, and the judgment to partner with engineering and research to implement at scale.
In this role, you will
Own the strategy and roadmap for your area of the Data Factory, from 0→1 prototypes through scaled production systems.
Lead complex operational efforts and design the workflows and automation that let them scale.
Build the first version yourself—scripts, queries, dashboards, and prototypes—then partner with engineering to implement it at scale.
Translate the model capabilities our customers care about into concrete workflows, requirements, and project plans.
Partner with Operations, Engineering, and Research to focus the team on the most important problems and take new systems from idea to deployment.
Use data to guide decision making, diagnose issues, and measure performance against throughput, quality, and cost.
Know when to move fast and when to slow down for alignment, with a bias for rapid prototyping.
Take full-stack accountability across product, operations, engineering, and customers, solving bottlenecks and ensuring delivery.
Your background looks like
Undergraduate degree in Computer Science or another technical / STEM field, or comparable work experience.
2-8 years of experience in product, operations, consulting, or startup environments.
Direct experience as a product manager, technical program manager, founder, or technical operator accountable for outcomes.
Highly proficient in SQL and able to develop lightweight prototypes end-to-end.
A track record of building your own tools in operationally complex roles, or of taking a messy business problem from data foundation through analysis to implementation.
Systems thinker who can spot leverage points and design for scale and durability.
Strong product intuition, able to work with engineers and researchers to get to the right answer fast.
High-execution operator: fast, detail-oriented, and uncompromising on quality.
Collaborative and low-ego, willing to roll up your sleeves.
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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 a Frontend Engineer at David AI, you'll build cutting-edge, intuitive interfaces 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 data.
In this role, you will
Ship polished, intuitive UI features that thousands of users will interact with daily.
Build performant, responsive interfaces on top of the data processing pipelines that derive actionable insights from terabytes of audio data every day.
Design and build interfaces that surface LLM and DSP based solutions, increasing our customers' understanding of nuanced features across our datasets.
Iterate rapidly on 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 frameworks to apply to our current product offering across frontend engineering, design systems, and user experience.
Your background looks like
2+ years of frontend engineering experience.
Strong frontend fundamentals with experience creating rapid prototypes, as well as building interfaces 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 where constant progress was enabled by detail-oriented execution.
Emphasis on building intuitive products and experiences that resonate with users, with a track record of shipping highly polished, production-grade interfaces.
AI/ML or audio experience is not required but you should be excited to learn.
Bonus points if you have
Educational or professional experience with digital signal processing and a deep understanding of speech.
Experience building interfaces for ML-powered or data-heavy products in a production environment.
Led (managed or tech-led) engineering teams in high-growth environments.
Some technologies we work with
Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS.
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human— it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
About the Talent team
The Talent team is responsible for building David AI's internal team, the people behind our mission. This includes identifying, engaging, and closing exceptional talent across technical, product, and business functions so we can scale the org as fast as the business demands.
About the role
As a Senior Technical Sourcer, you'll own top-of-funnel talent generation across the company. You'll build sourcing strategy and pipeline for roles spanning engineering, product, and business/ops, working directly with hiring managers and recruiters to identify and engage candidates who aren't actively looking. You'll be the engine that keeps our pipelines full as we scale.
In this role, you will
Own end-to-end sourcing strategy for a mix of technical, product, and business/ops roles, from role intake through qualified pipeline.
Build and execute boolean search strings, talent maps, and market research to identify high-signal candidates across LinkedIn Recruiter and other sourcing channels.
Partner closely with hiring managers and recruiters to translate role requirements into sourcing criteria and calibrate on what \"high signal\" looks like for each function.
Run outbound outreach campaigns that convert passive candidates into engaged pipeline, iterating on messaging based on response data.
Maintain clean, organized pipelines in Ashby, tracking sourcing metrics and funnel conversion to inform strategy.
Stay ahead of market trends, comp benchmarks, and competitor talent movement across the functions you support.
Your background looks like
5+ years of sourcing experience, with meaningful time spent at a high-growth startup.
Demonstrated ability to source across technical (engineering), product, and business/ops roles, not just one function.
Strong command of boolean search logic and sourcing tools (LinkedIn Recruiter, Juicebox, Ashby or similar ATS).
A track record of building pipeline for hard-to-fill or niche roles.
Bonus points if you have
Experience sourcing in AI/ML or data-focused companies.
Familiarity with market mapping and competitive talent intelligence.
Experience partnering directly with C-level or senior hiring managers.
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
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 a Backend Engineer at David AI, you'll build the systems and infrastructure that power how our users process and 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 data.
In this role, you will
Design and build scalable backend systems and core data processing pipelines that derive actionable insights from terabytes of audio data every day.
Architect and maintain the APIs and services that power features thousands of users interact with daily.
Build, deploy, and evaluate LLM and DSP based solutions to increase our customers' understanding of nuanced features across our datasets.
Iterate rapidly on our research hypotheses by working closely with researchers and our Operations team to deploy backend infrastructure that supports new data collection.
Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across backend engineering, data engineering, machine learning, and signal processing.
Your background looks like
2+ years of backend engineering experience.
Strong backend fundamentals with experience designing scalable systems, APIs, and data pipelines that handle significant scale and volume.
A proven track record of delivering engineering solutions that contributed value to customers.
Experience working in a high-pace environment where constant progress was enabled by detail-oriented execution.
Emphasis on building robust, reliable infrastructure that supports highly polished, production-grade products.
AI/ML or audio experience is not required but you should be excited to learn.
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 a production environment.
Led (managed or tech-led) engineering teams in high-growth environments.
Some technologies we work with
Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg, TypeScript.
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.
About David AI
David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.
David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
About the Role
This role will sit at the center of our recruiting effort, owning the coordination that keeps everything moving. You’ll collaborate with recruiters and hiring stakeholders, while gaining exposure to the full hiring lifecycle at a fast-growing AI company. This role is a great starting point for someone looking to build a career in Recruiting and will report to our Recruiting Operations Manager.
What You'll Do
Own interview scheduling end-to-end across multiple roles with attention to detail and speed
Flex your project management muscle by owning scheduling timelines and SLAs — tracking progress, surfacing risks early, and keeping recruiters and hiring managers informed
Champion a white-glove candidate experience from start to finish — from clear, warm communications to greeting onsite candidates
Become a systems expert: maintain Ashby (our Applicant Tracking System) as the single source of truth, including stage updates, candidate notes, and pipeline hygiene
Build relationships and work closely with recruiters, hiring managers, and interviewers to keep every search on track
Help uplevel the processes and systems that power this function — looking for smarter, faster ways to work, including where AI tools can lighten the load
Have opportunities to work on recruiting operations projects, sourcing efforts, and more
What We're Looking For
1+ year of full-time professional work experience
An interest in building a career in recruiting, sourcing, or talent-adjacent roles
Genuine care for the candidate experience and for building relationships
Strong written communication — your emails are clear, warm, and you follow up when needed
High energy but professional — you can read the room, whether it's a nervous candidate, a rushed hiring manager, or a founder coming up to you with a question
Exceptional organizational instincts — you notice what others miss and fix it without being asked
Strong command of Google Workspace (Gmail, Calendar, Docs, Sheets) for scheduling and communication
Comfortable operating in ambiguity and in a fast-paced office environment
Able to thrive working in office 5 days a week
Benefits
Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage for most plans.
FSA & HSA access.
401k access.
Meals 2x daily through catering and DoorDash + snacks and beverages available at the office.
Unlimited company-sponsored Barry's classes.