Senior Sales Engineer

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
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.