Sales Engineer

About Us

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products.

Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and Data Ops. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products.

Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, Pub Matic, Phone Pe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series‑C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.

Acceldata is seeking a dynamic and results‑oriented global Sales Engineer to join our high‑performing team. As a 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, 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.

• 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…