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 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.
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 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.
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.
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 Research 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 Engineer at David AI, you'll build algorithms and systems that turn large-scale speech and audio collections into high-quality datasets. You'll tackle questions like: What makes a recording useful? How do we measure and improve dataset quality?
Design algorithms and metrics using advanced signal processing algorithms and cutting edge ML models with to derive insights from thousands of hours of audio data.
Build scalable data processing pipelines for analyzing, filtering, deduplicating, and curating large speech and audio datasets.
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.
3+ years of professional engineering or applied research experience in areas such as data systems, algorithms, applied ML, information retrieval, or speech and audio.
Strong Python skills and experience building maintainable, production-quality software.
End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
Ability to translate research papers and ideas into high-quality, production-ready code.
Experience deploying ML systems for production inference with cloud technologies.
Ability to assess model quality in the context of user experience and business value.
Experience with speech, audio, or digital signal processing.
Experience with data curation, search and retrieval, embeddings, clustering, deduplication, or sampling.
Experience building model inference systems or integrating pretrained models into production workflows.
Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
Experience in releasing, maintaining, contributing to open-source softwares.
PhD or Masters in Computer Science or a related field.
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.
We’re growing our People + Talent team across the board. We’re hiring People Partners, Technical Sourcers, Recruiters, and Recruiting Coordinators, and we’re using this application to meet great people across all four areas.
If your experience sits anywhere across People or Talent, you move fast, work hard, take real ownership, and want to help build through a particularly exciting period of growth at David AI, we strongly encourage you to apply. Don’t worry about matching yourself perfectly to one title before you do.
We will review every submission and consider your background across the full range of opportunities on our team. If there is a strong fit, we’ll figure out the right seat together.
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.
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.
4-10+ 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.
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 Data Operations team
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.
About this role
As Head of Quality Assurance Operations, you'll own quality for every dataset David AI ships including but not limited to conversational, TTS, and transcription data, and manage David AI’s relationships with the global contingent workforce, comprising independent contractors and vendor-supplied contributors. You'll report to the Head of Operations and be located in the US.
In this role, you will
Own the quality bar across all data ops, including quality standards, calibration, consistency and on-time delivery of datasets
Design the quality review structure, organized by language and region, so every dataset gets consistent quality coverage
Audit and review the quality of delivered work product across languages, keeping quality benchmarks consistent globally
Run quality in languages you don't speak through deliverables from native-speaker and cross-language gold sets
Plan capacity against production ramps and own contingent workforce sourcing across many countries, ensuring each engagement is structured and classified correctly under local law
Build and own dashboards for quality, throughput, and cost efficiency
Manage David AI’s relationships with staffing vendors, service providers, and employer-of-record partners
Your background looks like
7 to 10+ years in operations, including 3+ in senior leadership roles
You've run quality operations for large contingent workforce networks across multiple countries
You've owned quality at scale, across calibration, capacity planning, and spend efficiency
You built the system yourself, from tooling to contingent workforce sourcing at scale
Speech, audio, or linguistic data experience is a strong plus
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 exceptional people across every function to join us on our mission to push the frontier of audio AI.
As Chief of Staff, you will work directly with Tomer, our CEO and Co-Founder, on the highest-priority work across David AI. Your mandate is to increase the speed and effectiveness of the CEO and the company around him, taking important problems that cut across teams and driving them through to an outcome.
The scope will be broad and will change as the company grows. You might build the plan for a new company initiative, dig into an area of the business that is off track, help close a senior hire, prepare for a board meeting, or take ownership of a problem that does not yet have a natural home. In each case, you'll be expected to get up to speed quickly, determine what matters, bring together the right people, and move the work forward.
You'll work across every part of David AI and closely with our leadership team. This is a high-ownership operating role for someone who is comfortable moving between strategy and execution and wants a front-row seat to building a fast-growing AI company.
Work directly with Tomer on the company's most important priorities. Turn broad goals and open questions into clear plans, decisions, owners, and next steps.
Own strategic and operating projects that cut across functions or do not yet have a clear owner, from initial problem definition through execution.
Help run the company's operating rhythm. Track the most important priorities, surface issues early, and make sure decisions and commitments turn into action.
Dig into parts of the business that need additional attention. Get to the underlying facts, identify what is working or not working, and build a plan with the team to address it.
Support company planning and help translate company-level goals into priorities across the organization.
Lead analysis on important company decisions. Pull together the right data and context, pressure-test the options, and develop a clear recommendation.
Partner closely with leaders across research, engineering, product, data operations, go-to-market, finance, and people to move cross-functional work forward.
Support CEO-level work including board preparation, fundraising, executive hiring, organizational planning, and other priorities as they arise.
Help Tomer allocate his time against the areas where he can have the most impact, and take ownership of work that does not need to stay with him.
Step into new initiatives or areas that need temporary ownership, build structure around them, and stay close to execution until there is a clear long-term owner.
6+ years of experience in high-ownership roles at a fast-growing technology company, startup, investment firm, consulting firm, or similar environment.
Prior experience owning complex work end to end, with direct accountability for the outcome rather than only advising or coordinating.
Strong analytical judgment. You can take an ambiguous problem, identify what matters, get to the relevant data quickly, and form a clear point of view.
Strong written and verbal communication. You can make complicated topics simple and communicate clearly with executives and operators alike.
Experience working across multiple functions and driving work through people who do not report to you.
Comfortable moving between high-level strategy and detailed execution, sometimes within the same day.
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 as a founder, early-stage operator, GM, or in a strategy and operations role at a high-growth startup.
Prior experience working closely with a founder or CEO.
Experience in AI, data infrastructure, marketplaces, or another technically complex business.
Experience with board preparation, fundraising, executive recruiting, or company-level planning.
Experience taking a new initiative from zero to one and eventually handing it to a dedicated owner.
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 builds and licenses high-quality voice and audio datasets to the world's leading AI labs. We're a ~50-person Series B team running data collection across ~20 language markets, spanning conversational, expressive/emotional TTS, and transcription data.
The Role
You'll be David AI's in-house audio expert. When a contributor's recordings sound off, a program needs a recording spec, or we're setting up a studio session, you're the person who knows exactly what's wrong and how to fix it. You'll set the audio standards everyone else works from, help contributors and vendors get their setups right, and run the hardware and studio side of our in-person recording work. You'll report to the Head of Operations.
Be the go-to audio authority for Ops, Engineering, and ML, answering the \"why does this sound wrong?\" questions that nobody else can
Define audio quality standards and recording specs (noise floor, clipping, reverb, levels, mic placement, sample rate/format) for each program
Help contributors diagnose and fix their home recording setups, including mic choice, placement, gain staging, room treatment, and interface/software settings
Write clear setup guides, onboarding checks, and troubleshooting docs that non-experts can follow in any of our ~20 language markets
Lead a team and calibrate them to the company's audio standards. Listen to problem batches, identify root causes (environment, hardware, settings, processing), and recommend fixes
Define acoustic targets for processed, synthetic, or AI-generated audio, and judge whether output meets them
Work with ML researchers to identify and define audio events and acoustic quality issues (What counts as “muffled” audio? How do we define “robotic artifacts”?).
Turn these definitions into actionable guidelines for our expert audio QAs to label internal audio data.
Manage the QA team in a rapid iteration loop of labeling audio samples, getting feedback from ML researchers, and refining the annotation process to deliver high-quality training and eval sets.
Conduct quality audits on annotation and post-processing models before they land in production.
7+ years in audio engineering, recording, or production (studio, broadcast, podcast, post, or voice work)
A highly trained ear for subtle differences across voices, mics, rooms, and signal chains
Deep hands-on knowledge of mics, interfaces, preamps, acoustics, and room treatment
Strong DAW skills and fluency with loudness/metering, EQ, dynamics, noise reduction, and restoration tools (e.g., iZotope RX)
Ability to troubleshoot remotely and explain fixes clearly to non-technical people
Comfortable in a fast-moving startup: ambiguous problems, shifting priorities, high ownership
Nice to have
Experience with speech or voice data for AI (TTS, ASR, SFT projects) at a lab or data vendor
Experience recording voice actors or directing dialogue sessions
Experience supporting remote or distributed recording at scale
Scripting basics (Python, ffmpeg, SoX) for batch checks or processing
Multilingual
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 Science team turns the activity across our business into the insights, metrics, and data foundations that guide how we grow. We move fast, own our work end-to-end, and partner closely with product, engineering, research, operations, and go-to-market to make sure the company is working on the right problems, measuring what matters, and drawing data backed conclusions.
As a Data Scientist at David AI, you'll turn our data into decisions. You'll help figure out what we should be building, measure whether it's working, and lay the foundation for how the company defines, stores, and trusts its data.
Work cross-functionally to identify the highest-leverage business problems and drive them to resolution.
Form and advocate your own point of view on what you and the broader team should prioritize, using data to shape the roadmap.
Define core metrics that measure the health of our business, products, and operations, and own the data dictionary that keeps them consistent across the company.
Own A/B experimentation end-to-end, from hypothesis and test design to analysis and ship decision.
Design and build reliable ETL pipelines and data models that make our data trustworthy, well-documented, and easy to use.
Work across the full range of data science, including experimentation, deep-dive analysis, forecasting, dashboards, and modeling.
3+ years of experience working on a cross-functional team as a product Data Scientist.
Experience turning ambiguous problems into clear recommendations.
Experience working in a fast paced environment where you owned your work end-to-end.
Proficiency with AI coding tools and agentic workflows, grounded in the SQL and Python skills needed to validate their output.
Hands-on experience building and maintaining ETL pipelines and data models (e.g., dbt, Airflow, Dagster).
Experience defining company-wide metrics, building a data dictionary, or setting up analytics governance.
Experience with audio data, data research companies, or LALM evaluations.