
SaaS • Data
Hevo Data is a company that offers an enterprise-ready, no-code data integration platform designed to streamline data operations with speed and precision at scale. Their platform supports over 150 integrations, enabling users to integrate data from various sources in near real-time. Hevo’s solutions provide automated data pipelines with fault-tolerant architecture, ensuring data accuracy, high availability, and security through encryption. Compliant with standards like HIPAA, SOC 2, and GDPR, Hevo focuses on empowering data teams by providing tools that simplify data transformation and analytics preparation in a user-friendly manner, with minimal maintenance required. Organizations trust Hevo to enhance their data-driven strategies, reducing infrastructure costs and boost data utilization by optimizing integration processes.
201 - 500 employees
Founded 2017
☁️ SaaS
💰 $30M Series B on 2021-12
September 19

SaaS • Data
Hevo Data is a company that offers an enterprise-ready, no-code data integration platform designed to streamline data operations with speed and precision at scale. Their platform supports over 150 integrations, enabling users to integrate data from various sources in near real-time. Hevo’s solutions provide automated data pipelines with fault-tolerant architecture, ensuring data accuracy, high availability, and security through encryption. Compliant with standards like HIPAA, SOC 2, and GDPR, Hevo focuses on empowering data teams by providing tools that simplify data transformation and analytics preparation in a user-friendly manner, with minimal maintenance required. Organizations trust Hevo to enhance their data-driven strategies, reducing infrastructure costs and boost data utilization by optimizing integration processes.
201 - 500 employees
Founded 2017
☁️ SaaS
💰 $30M Series B on 2021-12
• Build, train, and lead a global team of high-performing Sales Engineers to drive ELT sales worldwide. • Work closely with sales to understand customer requirements and execute a technical sales process. • Conduct product demonstrations, proof of concepts (POCs), and technical presentations for potential customers. • Provide technical leadership and guidance during customer engagements and technical discussions. • Develop competitive content and playbooks, including ROI calculators and POC Guides. • Define and track OKRs (POC Win Rate, Win Rate, O2C rate, No Opp rate, Loss Calls) and use them for strategic planning. • Refine technical sales process to remain competitive against key ELT competitors. • Create and deliver content, tools, and processes for team development (POC requirements, RFP database, product feedback, hiring, escalation/support). • Build specialized subject matter expertise within the team (e.g., Oracle Log-based CDC, Snow Pro advanced certifications). • Collect, synthesize, and communicate customer feedback to the Product team to drive product improvements. • Develop deep relationships with Sales leadership and cross-functional partners to identify performance gaps and needs. • Leverage sales enablement platforms to deploy, manage, and measure sales engineering training.
• A bachelor's degree in a technical field; an advanced degree is preferred. • 15+ years of experience leading Sales Engineering teams in the data/analytics space. • Deep understanding of ETL space. • Deep understanding of “Modern Data Stack” analytical architecture, including both batch and streaming interfaces. • Deep understanding of Snowflake, BigQuery, Redshift, and Databricks. • Deep knowledge of software implementation best practices. • Ability to understand complex technical concepts and develop them into a consultative sale. • Ability to hire and develop A players. • Ability to coach and develop team members. • Experience in both a large company and a startup environment. • Experience running teams globally. • Excellent verbal, written, and in-person communication skills to engage stakeholders at all levels (individual developer up to CTO). • Demonstrated ability to collaborate across teams and functions. • Proven track record of meeting and exceeding sales targets. • Direct experience working in the SaaS space. Data Science, Data Warehouse, Cloud, Analytics, and/or Business Intelligence experience would be highly preferred.
Apply NowSeptember 19
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