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Sales Engineer (UK)

13 hours, 49 minutes ago
United Kingdom
Full-time
Senior
Sales Engineer
Software Development
AWS Azure Databricks GCP Hadoop LLM Python R Snowflake SQL
Apply Now
Acceldata

Acceldata

Acceldata provides Enterprise Data Observability solutions to maximize ROI on data investments, ensuring reliability, eliminating blind spots, and reducing spend. Their platform optimizes AI and analytics workloads for leading companies, decreasing cos...

IT Services
51-250
Founded 2018
$106M raised
View All Jobs 5

Description

  • Collaborate with sales, product, finance, support, marketing, partner, and engineering teams to support pipeline and customer success.
  • Conduct customized technical presentations and product demonstrations for prospective customers.
  • Assess prospect environments and technical requirements to shape tailored sales strategies and close deals.
  • Work with customers to design solutions aligned to their data environments and business needs.
  • Develop technical proposals and assist in creating statements of work (SOWs).
  • Lead proof-of-concept implementations in customer environments and analyze results.
  • Present findings and recommendations to key stakeholders.
  • Create internal enablement materials such as marketing content, demo assets, field intelligence, and training resources.
  • Educate the sales team on the technical aspects of data observability solutions.
  • Develop and maintain technical documentation, including product guides, technical specifications, and knowledge base articles.

Requirements

  • 7+ years of experience in a relevant role.
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with at least one cloud provider: AWS, GCP, or Azure.
  • Hands-on experience with cloud platforms such as Databricks or Snowflake.
  • 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.
  • Understanding of the data ecosystem, including data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills for both technical and non-technical audiences.
  • Proficiency with SQL, Python, R, data visualization tools, and data analytics platforms is a plus.

Benefits

  • Remote, full-time position based in the United Kingdom.
  • Opportunity to work on mission-critical enterprise data observability products.
  • Access to support from professional services and engineering for larger or longer-term engagements.
  • Work with a high-performing team in a fast-growing, Series C-funded company.
  • Exposure to global enterprise customers and cutting-edge data technologies.

Interested in this position?

Apply directly on the company website

Apply Now

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