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Hevo Data

No-code data pipeline and ELT platform

Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • The candidate must have 4–7 years of B2B sales experience, including meaningful time in a quota-carrying, net-new business role.
  • The candidate must have a demonstrated record of consistent quota achievement and understand the factors behind that performance.
  • The candidate must be able to build outbound pipeline from cold prospects, not only manage inbound leads.
  • The candidate must be comfortable working US-aligned hours; the typical shift is 6 PM to 3 AM IST, with flexibility as needed.
  • The candidate must have executive communication and negotiation skills and be comfortable leading discussions with a Chief Data Officer.
  • The candidate must be comfortable discussing technical topics in depth about the product.
  • The candidate should have experience selling technical products such as data, analytics, DevOps, infrastructure, or developer tools.
  • The candidate should have familiarity with the India-to-US selling model.
  • The candidate should be proficient with HubSpot, Apollo, LinkedIn Sales Navigator, or an equivalent sales stack.

Responsibilities

  • Own the US mid-market and enterprise territory.
  • Build pipeline through outbound prospecting, including using LinkedIn Sales Navigator, Apollo, and Outplay.
  • Close outbound deals, with Solutions Engineering support for complex proofs of concept.

Desired Qualifications

  • Experience selling technical products such as data, analytics, DevOps, infrastructure, or developer tools.
  • Familiarity with the India-to-US selling model.
  • Proficiency with HubSpot, Apollo, LinkedIn Sales Navigator, or an equivalent sales stack.

About the Company

Hevo Data

No-code data pipeline and ELT platform

Hevo Data provides a cloud-based, no-code data pipeline platform that automates Extract, Load, and Transform tasks to move data from many sources into data warehouses. It connects to over 150 sources (SaaS apps, databases, cloud storage) and supports automatic schema management and real-time data replication. It differentiates itself with a user-friendly, no-code interface, automated handling of schema changes, and a Reverse ETL capability to push warehouse data back into operational tools, plus flexible tiered subscriptions and AWS Marketplace access. Its goal is to simplify data integration so organizations—ranging from small teams to large enterprises—can access up-to-date, consolidated data to make data-driven decisions.

Company size
201-500
Company stage
Series B
Total funding
$43M
Headquarters
San Francisco, CA
Founded
2016

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