Mid-level Data jobs at AI companies
AI labs and AI-first software companies building models, agents and AI products. Every role is posted straight from the company’s careers page.
Data Engineer, Billing & Payments
Data Engineer, Product
Data Scientist, FinEng
Data Center Capacity Delivery, Canada
Data Engineer, Core Experimentation
Analytics Engineer
Finance Data Scientist
Marketing Data Scientist
Data Center Engineer, Reliability & Infrastructure Management – Compute Supply
Data Engineer, Hardware & Consumer Devices
Network Deployment and Maintenance Lead – Data Center Operations
Data Scientist, B2B Strategy & Intelligence
Data Center Global Repairs Program Support
Data Center Hardware Quality & Reliability Engineer
Marketing Analytics Lead, Enterprise Marketing
Capacity Deployment Lead – Data Center Operations
Recruiting Analytics Data Engineer
Data Engineer, GTM
Data Center Infrastructure Architect
People Research Data Scientist, AI Fairness & Bias
New Product Introduction (NPI) Sourcing Manager, Data Center Power & Cooling
Analytics Engineer, GTM
Data Center Energy Lead, EMEA
Reporting and Controls Lead, Data Center Capacity Delivery
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About these roles
Mid-level Data jobs at AI companies
AI labs and AI-first software companies building models, agents and AI products. Companies hiring here include OpenAI, Anthropic, Harvey, Cohere, Sierra, Scale AI, Cresta, ElevenLabs, Decagon, and Synthesia.
Data roles at SaaS companies cover data engineering (pipelines and warehouses), analytics and BI (dashboards, product and revenue analysis) and data science (experiments, forecasting and machine learning). Analytics engineers sit between the first two.
Pay depends heavily on level and location. Where companies publish a range, the typical role on this page lists $270k–$385k in the US (median published minimum and maximum). About 84% of the roles here include a salary; use Salary listed first to see those at the top.
Remote roles make up 34% of the openings on this page. Most remote roles are limited to a region for tax and time-zone reasons, so check the location chips before you apply.
11 SaaS companies are hiring for these roles right now, led by OpenAI, Anthropic, and Cohere.
Questions about Mid-level Data jobs at AI companies
Where do these Mid-level Data jobs at AI companies come from?
Every job is pulled from the company’s own hiring system (Greenhouse, Lever, Ashby, Workable or Rippling) once an hour. We do not accept paid or reposted listings, so each role links back to the company’s live careers page.
What happens when I click Apply?
You go straight to the job on the company’s careers site and apply there. We never host applications and never see or store your details.
Why don’t all jobs show a salary?
We only show pay when the company publishes it in the job post. Around 84% of the roles on this page include a range today. Sort by “Salary listed first” to see those roles at the top.
How do I know a job is still open?
We check every company’s job board hourly. When a role is removed from the careers page, we remove it here within the hour and point you to similar open roles.
What does “Remote (Europe)” mean?
It means the company hires remotely but only within that region, usually for tax, contract or time-zone reasons. “Remote (Worldwide)” roles have no location restriction.
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