Acceldata - Sales Engineer
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Requirements
• 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 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. • Support from professional services and engineering will be provided as needed for technical expertise, closing gaps, or handling large or long-term engagements and pilots. • 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. • What makes you the right fit for this position? • 7+ 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 strong understanding of data observability, data monitoring, and data quality concepts. • Preference for a Hadoop background in presales, architecture, or support roles. • 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. • 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. • Proficiency in data technologies and tools such as SQL, Python, R, data visualization tools, and data analytics platforms is a plus.
Responsibilities
• Life @ Acceldata • #LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously and grow to be the best version of yourself, Acceldata is the place to be! • We also believe in providing our employees with the right tools and resources to help them excel at their job. • What should you know about joining Acceldata? • At Acceldata, each job and role serves a purpose towards our business goals. You’ll have opportunities to make an immediate impact on mission-critical projects as you work with highly capable and ambitious peer groups.
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