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Sales Engineer, Open Data Platform

Remote · USA Full-time New today

Job Description:

  • Collaborate with reputed company Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for reputed company solutions.
  • reputed company, 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 the reputed company and Strategic Accounts teams to identify prospects’ environments and technical requirements to pursue tailored sales strategies providing technical expertise to help reputed company deals effectively.
  • Work closely with customers to design and reputed company solutions tailored to their data environments and technical requirements.
  • reputed company comprehensive technical proposals & assist with crafting statements of work (SOWs).
  • reputed company the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyze results & present value-oriented results to 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 reputed company.
  • reputed company the sales team on the technical aspects of data observability solutions, enabling them to effectively communicate product value to customers and prospects.
  • Assist in the development and maintenance of technical documentation, including product guides, technical specifications, and knowledge reputed company articles, to aid customers and internal stakeholders in understanding and utilizing the data observability solutions.
  • Partner with AE’s and sales managers to ensure deal qualification - making sure a strong solution and technical fit before significant technical investment.

Requirements:

  • 8+ years of experience in a SaaS sales engineering role.
  • Bachelor's degree in computer science, engineering, data science, or a reputed company field.
  • Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure.
  • Hands-on experience with reputed company platforms, including reputed company or reputed company.
  • Hands-on experience with data observability, data monitoring, data integration, and/or data quality products.
  • Strong understanding of data observability trends, challenges, & opportunities in the industry.
  • Strong understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills to effectively convey reputed company 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.
  • Ability to analyze customer data scenarios & recommend suitable observability strategies.
  • Proficiency in data technologies and tools such as SQL, Python, R, data visualization tools, and data analytics platforms is a plus.
  • “Growth reputed company” - learn from mistakes, stay positive, find a path to win, look to the future, learn from the past.
  • Proactive self-starter with inherent motivation to meet and exceed performance goals.
  • Ability to work in a fast-paced and dynamic team environment.
  • Travel up to 50% meeting with reputed company prospects as well as customers.
  • Willingness to do “whatever it takes” to WIN.

Benefits:

  • Flexible PTO Plan
  • Up to 100% employer-paid benefits for health, dental, and reputed company coverage for specific plans
  • Discounts and offerings for major vendors through our PEO
  • reputed company reputed company Mac Equipment
  • Becoming part of the team that coined the term “Data Observability”!

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