Sr. Collections Analyst
Bengaluru, IndiaIndia & South Asia
Databricks is looking for a Senior Collections Analyst to own a high-volume accounts receivable (AR) portfolio in a fast-growing, usage-based SaaS business.
Bengaluru, Hyderabad, Chennai, Kochi and the rest of Karnataka, Telangana, Tamil Nadu, Kerala and Andhra Pradesh.
64 jobs found · South India
Bengaluru, IndiaIndia & South Asia
Databricks is looking for a Senior Collections Analyst to own a high-volume accounts receivable (AR) portfolio in a fast-growing, usage-based SaaS business.
We're hiring a Software Engineer (SDE 2) to own core parts of this platform.
Bengaluru, IndiaIndia & South Asia
Sales Compensation Analyst on the Comp Admin team, you will run commissions administration from start to finish for a large global group of sellers, so they can trust…
Bengaluru, IndiaIndia & South Asia
We are seeking an experienced, hands-on Team Lead to shape the future of platform observability and proactive customer monitoring. You will partner closely with…
The CPU Infrastructure team runs everything outside the GPU fleet: Kubernetes across Azure, AWS, GCP and Indian sovereign clouds, the network between them, Cloudflare…
We are hiring at 3 to 5 years of experience.
We are hiring a Software Engineer to own major parts of this platform end to end, working closely with the Staff Engineer who leads its architecture.
We are hiring hands-on technical owners who can take ambiguous problems through to reliable production systems. We’re looking for a Staff Engineer to own this system…
We are hiring hands-on technical owners who can take ambiguous problems through to reliable production systems. We’re looking for a Staff Engineer to own this system…
Bengaluru, IndiaIndia & South Asia
As an IT Software Engineer (Infrastructure), you will be a core technical contributor on the IT CorpEng Infrastructure team, owning and driving the evolution of our core…
We are looking for a Staff Software Engineer - Frontend to help us solve some of the hardest frontend problems as we build AI products at scale.
You should be a hands-on DevOps engineer fluent in Kubernetes, comfortable with cloud infrastructure (AWS primarily, Azure secondarily), and literate in the networking…