"ai data layer" Jobs
2596 open tech roles matching “ai data layer”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 2596 results
Join Profound as a Data Scientist to develop predictive models and optimize brand visibility in AI-driven search.
Join Asana as a Senior Analytics Engineer to transform raw data into reliable datasets for critical business decisions.
Join Benchling as a Marketing Data Analyst contractor to enhance data models and dashboards for AI-driven marketing efforts.
Join Affirm as a Senior Software Engineer to enhance our data infrastructure and empower teams with scalable data solutions.
Join Affirm as a Senior Software Engineer to enhance our data infrastructure and empower teams with scalable data solutions.
Join Decagon as the first GTM Analytics Engineer to build foundational data infrastructure for our go-to-market organization.
Transform fragmented on-chain data into meaningful abstractions as a Blockchain Data Wizard at Allium.
Join Truecaller as a Staff Data Engineer to develop scalable data pipelines and empower product teams with analytics solutions.
Join Sila as a Forward Deployed Application Developer to create innovative software solutions for battery technology.
Own and govern the core data layer and automated pipelines for supply chain planning at Verkada.
Join Harvey AI as a Staff Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Join Harvey AI as a Staff Software Engineer to build a robust data platform that empowers teams to work with data confidently and independently.
Own the Enterprise Data Platform at ezCater, driving strategy, governance, and AI readiness in a fully remote role.
Join Redpanda as a Forward Deployed Engineer to build production-quality agents and integrations directly at customer sites.
Join Synthesia as a Research Engineer in Data to enhance model performance through high-quality datasets in a collaborative environment.