Sales Engineer

Summary

Join Acceldata's high-performing team as a Sales Engineer and play a crucial role in driving the success of our cutting-edge data observability solutions. You will be the technical expert, liaising between customers and the sales team, demonstrating the value of our products. Collaborate with various teams, customize technical presentations, partner with sales to identify prospects' needs, and design tailored solutions. Lead proof-of-concept implementations, develop technical proposals, and provide internal support. Educate the sales team on data observability and maintain technical documentation. This role requires 10+ years of experience, a Bachelor's degree, and hands-on experience with cloud providers, cloud platforms, and Hadoop. Strong communication and data analysis skills are essential.

Requirements

• 10+ years of experience in a relevant role
• Bachelor's degree in computer science, engineering, data science, or a related field
• Must have hands-on experience with at least one of the following cloud providers: AWS, GCP, and/or Azure
• Must have hands-on experience with cloud platforms including Databricks or Snowflake
• Must have a Hadoop background in presales, architecture, or support type of role
• Must have a strong understanding of data observability, data monitoring, and data quality concepts
• Excellent communication and presentation skills to effectively convey complex technical concepts to both technical and non-technical audiences
• Ability to listen to customer needs, understand their pain points, and propose relevant data observability solutions
• Capacity to analyze customer data scenarios and recommend suitable data observability strategies

Responsibilities

• Collaborate with Acceldata sales, product, finance, and support teams to help prospects and partners identify the value and need for Acceldata Products to drive sales
• Customize and conduct technical presentations and product demonstrations to prospective customers, showcasing our solutions and how they address specific customer needs and challenges
• Partner with sales to identify prospects’ environments and technical requirements to pursue tailored sales strategies providing technical expertise to help close deals effectively
• Work closely with customers to design and develop solutions tailored to their data environments and technical requirements
• Develop comprehensive technical proposals and assist with crafting statements of work (SOWs)
• Lead the implementation of proof of concepts to demonstrate the value and functionality of our products in the customer's environment. Analyze results and present findings to key stakeholders
• Provide internal support to sales, presales, marketing, partner and product teams. This includes marketing content development, demo asset creation, field intelligence, training, subject matter expertise, etc. to drive company success
• Educate the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects
• Develop and maintain technical documentation, including product guides, technical specifications, and knowledge base articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions

Preferred Qualifications

• Proficiency in data technologies and tools such as SQL, Python, R, data visualization tools, and data analytics platforms is a plus
• Familiarity with data observability trends, challenges, and opportunities in the industry
• Understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures