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Senior Account Executive (US Market)
Own the full sales cycle for mid-market data analytics customers in the US market
Bangalore
Senior
1 week ago
Hevo Data
Offers a no-code data pipeline platform for real-time ETL, replication, and integration across databases, SaaS apps, and data warehouses.
3 Similar Jobs at Hevo Data
Hevo Sales Role
Drive revenue by selling complex technical solutions to mid-market customers. Own the full sales cycle—from strategic prospecting to closing high-value deals with senior decision-makers in competitive environments.
Key Responsibilities
- Pipeline Development: Generate net-new business through outbound prospecting, personalized outreach, and strategic social selling. Create demand beyond inbound leads.
- Value-Based Selling: Build data-backed business cases aligned with customer pain points and financial objectives. Quantify ROI and cost of inaction to drive urgency.
- Technical Sales Execution: Partner with Solutions Engineers, Product, and Engineering teams to design and execute PoCs demonstrating real-world impact. Lead high-stakes CXO conversations.
- Competitive Deal Management: Navigate multi-stakeholder sales cycles, overcome objections, and effectively differentiate Hevo against established competitors.
- Continuous Learning: Develop expertise in data engineering, analytics, and modern data stack. Stay current on industry trends and evolving customer challenges.
Requirements
- 7+ years B2B SaaS sales experience with 3+ years quota-carrying track record.
- Proven success selling to mid-market customers and closing net-new business.
- Strong outbound sales acumen with multi-stakeholder cycle management.
- Experience in competitive deal cycles with clear differentiation strategies.
- Exceptional communication, negotiation, and stakeholder management skills.
- Proficiency with CRM/sales automation tools (Salesforce, HubSpot).
- Experience selling to CDOs/Head of Data Analytics (preferred).
About Hevo Data
Offers a no-code data pipeline platform for real-time ETL, replication, and integration across databases, SaaS apps, and data warehouses.