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FireboltFI

Customer Engineer

Firebolt is a cloud data warehouse designed for high-performance analytics and AI applications, offering sub-second query speeds and efficient scaling for large datasets.

Firebolt

Employee count: 51-200

India only

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Description

About Firebolt

Analytical databases are moving deeper into the software stack. This is accelerated by agentic AI: teams building on top of analytical databases are more technical, and modern data intensive products demand more of these systems than traditional BI and reporting workloads. We believe the next generation of data infrastructure requires zero compromises: open-source, scale-out, cloud-native, and capable of handling both batch and real-time with the speed agentic AI demands. This is what we’re building in Firebolt - an extremely efficient, Postgres-compliant analytical database. We architected it to provide maximum performance at the lowest operational complexity in any setting, running as a single binary on a laptop, or as a cluster of hundreds of nodes in your cloud or data center. We’re well funded, have an exceptional engineering team and we’re working with some of the world’s top tech companies on their most difficult data challenges.

About the role

Firebolt is building a support team with talented members. As part of our team in Bengaluru, India you can have a major impact on Firebolt's product. We are focused on providing technical assistance and support to customers.

You will need to be able to quickly diagnose problems and provide solutions, while maintaining accurate records of customer interactions and issues to help identify trends and improve overall customer experience.

Your responsibilities

  • Help Build AI support infrastructure.
  • Support existing customers when AI agents cannot.
  • Conduct technical discovery, POVs, and architecture deep-dives with prospects.
  • Own the technical win - benchmarks, migrations, and proof points that hold up under scrutiny.
  • Be the trusted voice in the room when customers are evaluating us.
  • Feed real customer signal back into product.

Requirements

  • Strong SQL and data warehousing fundamentals (columnar storage, query optimization, partitioning).
  • Hands-on experience with databases.
  • The ability to do technical deep dives with engineers.
  • Genuine curiosity about price-performance, not just features.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

India +/- 0 hours

About Firebolt

Learn more about Firebolt and their company culture.

View company profile

Many of our customers find that traditional data warehouses simply weren't built to handle the demands of today's data-intensive AI applications and modern analytics. They face challenges with slow query speeds, difficulty scaling for high concurrency, and unpredictable costs, all of which hinder their ability to gain timely insights and power their data applications effectively. This is why Firebolt has completely redesigned the cloud data warehouse. Our AI-first, cloud-native architecture is engineered to deliver sub-second performance, even with massive datasets and complex queries. We empower organizations with the speed and efficiency needed to handle large workloads, enabling analysts, data scientists, and end-customers to get the insights they need without frustrating delays or concerns about escalating costs.

Our customers need to support both internal analytics and increasingly, external-facing data applications. Managing separate systems for these use cases often leads to increased complexity and a higher total cost of ownership. Firebolt addresses this by providing a unified platform that combines the ultra-low latency of top query accelerators with the ability to scale and transform massive, diverse datasets from any source. We achieve this through a decoupled storage and compute architecture, allowing for easy and independent scaling to support any workload. This means our customers can power demanding customer-facing analytics and data-intensive applications more cost-effectively and with greater simplicity. We listen closely to our customers across mission-critical use cases to deliver velocity, simplicity, and cost savings, helping them solve their most 'impossible' data challenges and redefine what's possible in modern cloud data warehousing. By integrating seamlessly with the modern data stack, from Apache Iceberg to BI tools, Firebolt ensures sub-second performance wherever data lives, helping businesses to build the next generation of analytic applications.

Claim this profileFirebolt logoFI

Firebolt

Company size

51-200 employees

Founded in

2019

Chief executive officer

Eldad Farkash, Saar Bitner

Employees live in

View company profile

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