Acceldata28mo ago

Sales Engineer | Open Data Platform (ODP)

United KingdomRemoteFull-Timemid

SalesData EngineeringSales Engineer

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Quick Summary

Overview

About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures,

Technical Tools

awsazuregcppythonsnowflakesqlworkdaydata-analysisdata-visualizationdocumentationsaasstreaming-data

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.

Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.

Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.

About the Role

~3 min read

As a dynamic Sales Engineer, you will play a crucial role in driving the success of our cutting-edge data observability solutions. You will be the technical expert and a key liaison between our customers and the sales team, demonstrating the value and capabilities of our products to address customer challenges effectively.

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, and more 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.

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.