Hevo Data

No-code data pipeline and ELT platform

Senior Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, India

About the Job

Requirements

Five to eight years of experience in Sales Engineering, Solutions Engineering, Pre-Sales, or Solution Architecture within B2B SaaS.
Strong experience handling technical discovery conversations for global customers.
Solid understanding of SQL and NoSQL databases.
Solid understanding of REST APIs and integrations.
Solid understanding of data architectures and system design.
Solid understanding of cloud and SaaS ecosystems.
Strong database expertise with excellent technical problem-solving ability.
Excellent communication and stakeholder management skills.
Comfort working US hours from the Bengaluru or Pune office.

Responsibilities

Lead technical discovery conversations with customer engineering and data teams.
Understand customer architecture, databases, APIs, integrations, and data workflows.
Deliver tailored product demos aligned to customer use cases.
Own proofs of concept and technical validations with clear success criteria.
Partner with Account Executives on technical strategy, objections, and competitive positioning.
Support requests for proposals, requests for information, and technical evaluations.
Build customer confidence through solution design and consultative problem-solving.
Collaborate with Product and Engineering teams to relay customer feedback.

Desired Qualifications

Experience with ETL, ELT, data warehouses, or analytics platforms.
Exposure to Snowflake, BigQuery, Redshift, or Databricks.

About Hevo

Hevo is a No-code Data Pipeline platform powering analytics for 2000+ companies including Deliverr, Neo4J, and Groww. Backed by $42M from Sequoia India and Chiratae Ventures, we've grown 20X in customer base over two years and are entering hyper-growth with ambitious revenue targets.

About the Role

As a Senior Sales Engineer at Hevo, you will drive the technical side of the sales cycle for US mid-market and enterprise customers. You’ll partner with Account Executives to lead technical discoveries, understand customer architectures, uncover integration challenges, and influence technical decision-making.

We’re looking for someone who is highly skilled in technical discovery conversations, databases, APIs, and modern SaaS architectures. Experience with ETL, ELT, or data warehouses is preferred, but strong database expertise with exceptional solutioning ability is equally valuable.

At Hevo, Sales Engineers directly influence deal outcomes and are rewarded through strong variable compensation tied to technical deal impact and successful evaluations.

Responsibilities

Lead technical discovery conversations with customer engineering and data teams

Understand customer architecture, databases, APIs, integrations, and data workflows

Deliver tailored product demos aligned to customer use cases

Own PoCs and technical validations with clear success criteria

Partner with AEs on technical strategy, objections, and competitive positioning

Support RFPs/RFIs and technical evaluations

Build customer confidence through strong solution design and consultative problem-solving

Collaborate with Product and Engineering teams to relay customer feedback

Requirements

5- 8 years in Sales Engineering, Solutions Engineering, Pre-Sales, or Solution Architecture within B2B SaaS

Strong experience handling technical discovery conversations for Global customers

Solid understanding of:

SQL/NoSQL databases
REST APIs and integrations
Data architectures and system design
Cloud and SaaS ecosystems
Experience with ETL/ELT, data warehouses, or analytics platforms (Ideal)
Exposure to Snowflake, BigQuery, Redshift, or Databricks (Ideal)
Strong database expertise with excellent technical problem-solving is also a strong fit (Must Have)
Excellent communication and stakeholder management skills
Comfortable working US hours from Bengaluru/Pune office

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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