Senior Software Engineer, Data Foundation
San Francisco, US (Hybrid)North America
As a Senior Software Engineer on the Data Foundation team, you'll work across the stack to build high-impact features with extreme customer focus.
Data analysts, data scientists, data engineers and business intelligence roles.
347 jobs found · Data & Analytics
San Francisco, US (Hybrid)North America
As a Senior Software Engineer on the Data Foundation team, you'll work across the stack to build high-impact features with extreme customer focus.
sf
We're looking to hire a talented engineer who is as comfortable in SQL as they are in nextJS - someone who's excited to own the analytics foundations of the company and…
Basking Ridge, New Jersey
As a Senior Data Reliability Engineer, you will be responsible for architecting, scaling, and optimizing enterprise-grade data platforms, including large-scale data…
Design, develop, and maintain interactive dashboards in Tableau to support both recurring and ad-hoc reporting needs across various growth functions and leadership…
We are looking for a dynamic and versatile Marketing Manager who will focus on marketing guidance and support for our white label travel platform partners.
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI…
Remote - AustraliaAsia-Pacific
As a Complaints Analyst on the Global Complaints team within Customer Experience, you'll investigate and resolve consumer, regulatory, and litigation support complaints…
Remote
You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts.…
French
As a Complaints Analyst on the Global Complaints team within Customer Experience, you'll investigate and resolve consumer, regulatory, and litigation support complaints…
Mandarin (a plus)
Lalamove is looking for an experienced Risk Analyst to support our Risk team in Hong Kong.
The role suits senior data scientists and ML practitioners who want end-to-end responsibility for complex systems, where ML, product and engineering meet