"data intensive products" Jobs
334 open tech roles matching “data intensive products”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 334 results
Join Harvey as a Senior Product Operations Manager to connect teams and drive impactful product decisions in a fast-growing AI-driven company.
Join Stuut as a Full Stack Member of Technical Staff to build innovative credit products for B2B companies.
Join Valence as a Staff Software Engineer to architect and scale an AI-driven coaching platform for enterprise clients.
Join EliseAI as a Senior Associate to drive the launch and scaling of new products in the housing sector.
Join Edra as a Forward Deployed AI Engineer to build LLM-powered systems for enterprise customers in a hands-on engineering role.
Drive the product vision for Journey Monitoring at Datadog, bridging technical metrics and business outcomes.
Join Pave as a Software Engineer to build foundational services for a leading compensation platform in a hybrid work environment.
Join Rogo as a Backend Software Engineer to automate internal systems and enhance financial workflows using AI.
Lead engineering projects at Harvey AI, building innovative AI-driven solutions for legal and professional services.
Join Enigma's Match Team as a Senior/Staff ML Engineer to enhance customer-facing data products through advanced machine learning and engineering solutions.
Lead the Analytics & Data Engineering function at a fast-growing AI startup, driving data insights and infrastructure from the ground up.
Join Pave as a Senior Software Engineer to lead projects in building a cutting-edge compensation planning platform.
Lead product development for AI-native workflows in the housing sector at a rapidly growing startup.
Join Harvey as a Senior Product Manager to shape the Command Center for enterprise customers in a fast-growing AI platform.
Take end-to-end ownership of the reliability and performance of our Kubernetes-based data platform at CoreWeave.