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Hevo Data

Sales Engineer / Sr. Sales Engineer

On site Sales
Added
less than a minute ago
Location
Type
Full time
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Not Specified

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Related skills

bigquery redshift snowflake sql nosql

About Hevo:

Hevo (

www.hevodata.com) is a simple, intuitive, and powerful No-code Data Pipeline platform that enables companies to consolidate data from multiple software for faster analytics.

Hevo powers data analytics for 2000+ data-driven companies across multiple industry verticals, including Shopify, Gartner, Iceland AIR, Arhaus, Thoughtspot, and Postman. By automating complex data integration tasks, Hevo allows data teams to focus on deriving groundbreaking insights and driving their businesses forward.

Hevo’s mission is simple, but bold: Build technology that is simple to adopt and easy to access so that everyone can unlock the potential of data.

Headquartered in San Francisco and with offices in India, Hevo has seen exponential growth since its inception. Hevo’s revenue and customer base have expanded by a staggering 3X in just the last two years.

With a total funding of $42 Mil from Sequoia India, Qualgro, and Chiratae Ventures, Hevo is now entering a new phase of hyper-growthHevoites are a bunch of thoughtful, helpful problem solvers, who are obsessed with making a difference in the lives of their customers, colleagues, and their own individual trajectory.

If you are someone who is passionate about redefining the future of technology, then Hevo is the place for

you.Product Video:

https://www.youtube.com/watch?v=p0XGLDgvCo8What

Role Overview:

The Sales Engineer at Hevo acts as a

trusted technical advisor and primary resource throughout the sales journey, focused on

accelerating new deal closure. Your core responsibility is to rapidly develop a comprehensive understanding of a prospect's current data infrastructure, identify critical challenges, and strategically present and demonstrate how Hevo's platform functions as a

powerful, efficient, and scalable solution to achieve their specific business objectives.

Key Responsibilities:

  • Technical Discovery & Solutioning: Conduct deep-dive technical discovery calls with prospects to understand their current data architecture, business requirements, and specific data integration challenges (e.g., source systems, target data warehouses, volume, latency needs).
  • Product Demonstration & Presentation: Deliver compelling, tailored, and high-impact product demonstrations and presentations that clearly articulate the value proposition and technical superiority of the Hevo platform.
  • Proof of Concept (PoC) & Evaluation: Design, manage, and execute technical Proof of Concepts (PoCs) and trials to ensure the Hevo platform meets all technical and business validation requirements. Document success criteria and manage the technical win.
  • RFI/RFP Response: Partner with the sales team to complete technical sections of RFIs (Request for Information) and RFPs (Request for Proposal).
  • Cross-functional Collaboration: Act as the voice of the customer to Product Management and Engineering teams, relaying market feedback and new technical requirements. Collaborate with Customer Success to ensure a smooth transition post-sale.
  • Content & Knowledge: Develop and maintain technical sales assets, including demo scripts, technical whitepapers, and best-practice guides for data integration patterns.
  • Sales Strategy: Assist Account Executives in developing a technical sales strategy for key accounts to accelerate the sales cycle and increase win rates.

    • Required Skills and Qualifications:

  • Technical Degree: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • Experience: 4+ years of experience in a Sales Engineering, Solution Architect, or similar pre-sales technical role for a SaaS product, preferably in the Data Integration, ETL/ELT, Analytics, or Business Intelligence space.
  • Data Warehouse Proficiency: Strong working knowledge of modern cloud data warehouses (e.g., Snowflake, Databricks, Google BigQuery, Amazon Redshift) and data lakes.
  • Databases & APIs: Deep understanding of databases (SQL/NoSQL) and experience working with REST/SOAP APIs and various data sources (e.g., application APIs, streaming data).
  • Communication: Exceptional verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
  • Problem-Solving: Proven ability to quickly analyze complex technical environments and propose creative, effective, and technically sound solutions.
  • Shift Flexibility: Comfortable working US hours from Office (typically 6 PM - 3 AM IST).

    • Preferred Qualifications (Bonus Points):

  • Experience with other ETL/ELT tools or iPaaS platforms.
  • Familiarity with the Hevo platform or a similar no-code/low-code integration platform.
  • Experience with scripting or programming (e.g., Python, SQL) for advanced demos or PoCs.

    •

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