DatologyAI jobs

Marketing Manager role at an AI data curation company focused on building content calendars, managing Notion workspaces, social media engagement, and event operations. Based in Redwood City, CA with 4 days/week in-office requirement.

DatologyAI is hiring a Forward Deployed AI Engineer (Post-Sales) based in Redwood City, CA (4 days/week on-site) to guide strategic customers through deploying, operating, and adopting DatologyAI's data curation platform. The role involves leading onboarding and production rollouts, solving distributed systems problems, designing scalable ML workflows, and translating customer requirements into technical strategies. It requires strong Python/distributed systems expertise, cloud infrastructure knowledge (Kubernetes, distributed training), and the ability to bridge engineering and customer needs. While technical and ML-adjacent, this is fundamentally a customer-facing solutions engineer / field engineer role with hybrid on-site requirements, not core software engineering.

DatologyAI seeks a versatile Designer with marketing as the primary focus and product design as secondary responsibilities. The role involves creating marketing assets, brand guidelines, and contributing to product UI/UX in a small, high-ownership environment. Position is based in Redwood City, CA with 4-day/week in-office requirement. Funded by $57.5M from Felicis, Radical, Amplify, Microsoft, and Amazon.

Research Scientist at DatologyAI, specializing in machine learning and data curation for model training. Focuses on deep learning research, optimization, and product impact. On-site 4 days/week in Redwood City, CA; Seed/Series A stage.

Product Manager at DatologyAI, first PM role building product strategy for enterprise data curation platform. Focus on translating ML research into enterprise-facing product, user experience, API design, and customer engagement with ML teams. Based in Redwood City, CA requiring 4 days/week office presence; core function is product management, not software engineering.

DatologyAI is hiring a Full-Stack Engineer to build customer-facing and internal products for its data curation platform, which helps optimize training datasets to reduce compute costs and improve model performance. You'll own the full development lifecycle of core products used by customers to curate datasets, collaborate cross-functionally with researchers and designers, and partner closely with founders on product direction. The role requires meaningful production experience with full-stack and backend systems, proficiency in JavaScript/TypeScript and React on the frontend plus Python on the backend, and a track record of maintaining high quality standards across design, testing, and correctness. Based in Redwood City with 4 days/week in-office requirement, the company has raised $57.5M from top-tier investors including Microsoft, Amazon, and AI luminaries like Geoff Hinton and Yann LeCun. Compensation ranges from $180K–$300K salary plus significant equity, with comprehensive benefits and relocation assistance. Prior ML/AI experience is preferred but not required.

DatologyAI is hiring a Cloud Infrastructure Engineer to design and operate the cloud infrastructure powering their data curation platform, which helps companies optimize training data to reduce costs and improve model performance dramatically. You'll architect multi-cloud systems (primarily AWS), manage Kubernetes clusters for ML workloads, implement infrastructure-as-code, build monitoring and CI/CD pipelines, and collaborate with research and engineering teams on large-scale model training infrastructure. Required experience includes leading infrastructure at a startup, deep AWS expertise, strong Kubernetes and Terraform skills, systems-level debugging ability, and proficiency scripting in Bash, Python, or Go. Nice-to-have experience includes ML infrastructure support (GPU orchestration, training pipelines), large-scale dataset handling, and cost optimization. The role is based in Redwood City, CA with 4 days in office, offers a salary range of $180K–$300K plus significant equity, and represents a key early hire with deep technical and cultural impact opportunity. DatologyAI has raised $57.5M from top-tier investors including Microsoft, Amazon, and AI pioneers like Geoff Hinton and Yann LeCun, and the team has pioneered frontier research in data curation.

Solutions Engineer (AI/ML, Pre-Sales) at DatologyAI in Redwood City, California. Presales technical role supporting enterprise customers in designing proof-of-concept projects for AI data curation platform. Responsibilities include customer needs discovery, PoC design and execution, evaluation planning, and collaboration with customer ML teams on training optimization. Requires hands-on understanding of LLM/VLM training, production ML deployment experience, and complex systems thinking. 4 days/week on-site in Bay Area; not fully remote.

Research Scientist position at DatologyAI leading post-training data curation research for foundation models. Role involves designing algorithms for instruction/preference data generation, exploring joint pre-training and post-training optimization, and bridging research with engineering. Requires fluency with deep learning literature and ability to turn research ideas into real-world impact. Position is based in Redwood City, CA with 4 days/week in-office requirement.

DatologyAI, a $57.5M-funded startup backed by Felicis, Radical, Microsoft, Amazon, and AI luminaries like Geoff Hinton and Yann LeCun, is hiring a Data Platform Engineer to join their core team in Redwood City (4 days/week in office). You'll design and build highly scalable data processing solutions that power their data curation platform—a system that optimizes petabytes of training data to reduce training costs by 7-40x and improve model performance as if trained on 10x more raw data. The role requires proven experience leading production data systems at scale, proficiency with tools like Spark/Flink, data warehouses (Snowflake/Hive), SQL, workflow orchestration (Airflow/Dagster), and at least one programming language (Python, Scala, or Java); experience as a technical lead on a Data/Platform/Infrastructure team is essential. As an early senior hire, you'll partner directly with founders on product direction and have broad impact on technology and company culture. Compensation is $180K–$300K base plus significant equity, with full health benefits, 4% 401(k) match, unlimited PTO, wellness and learning stipends, and relocation assistance.

DatologyAI is hiring an Infrastructure Engineer to join their core team in Redwood City, CA (4 days/week in-office). You'll design and build the development and production platforms that power their data curation suite, architecting infrastructure across multiple cloud providers and deployment models while supporting ML/DL training and inference workloads. Required experience includes spearheading large-scale infrastructure projects, proficiency with Kubernetes, Python, Terraform, and cloud platforms (AWS, Azure, GCP, or on-prem), plus strong debugging skills across the full stack. The company raised $57.5M from investors including Microsoft, Amazon, and AI leaders like Geoff Hinton and Yann LeCun, focusing on optimizing training data to reduce compute costs by 7-40x. Compensation is $180–300K base plus significant equity, with comprehensive benefits including 100% covered health insurance and relocation assistance. Prior experience building data or ML infrastructure at a fast-growing startup is highly valued, though the team explicitly welcomes applicants who don't check every box if excited about the mission.