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Sales Engineer / Sr. Sales Engineer

Hevodata
Bengaluru, IND
Full-time
Senior · 4+ years experience
Onsite
Discovered 3 weeks ago
SnowflakeDatabricksGoogle BigQueryAmazon RedshiftSQLNoSQL
Free

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  • 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.
  • 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).
  • 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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