Sales Engineer | xLake: Data & AI Platform

11 hours, 12 minutes ago
Full-time
Lead
Software Development
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
51-200
Founded 2018
$106M raised

Description

  • Collaborate with internal teams, clients, and partners to demonstrate the value of Acceldata offerings.
  • Develop and deliver tailored technical presentations, product demonstrations, and solution proposals for prospective customers.
  • Partner with enterprise and strategic account teams to assess prospect environments, technical requirements, and deal fit.
  • Design customer-specific solutions for data environments and technical requirements.
  • Develop technical proposals and contribute to statements of work.
  • Lead proof-of-concept implementations, analyze results, and present business value to customer stakeholders.
  • Provide technical support and subject-matter expertise to sales, presales, marketing, partner, and product teams.
  • Train sales teams on data observability solutions and their technical value.
  • Create and maintain technical documentation, product guides, specifications, knowledge-base articles, and demo assets.

Requirements

  • 10+ years of experience in sales engineering or another customer-facing technical role.
  • Bachelor’s degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with AWS, GCP, and/or Azure.
  • Hands-on experience with Databricks or Snowflake.
  • Experience with data observability, data monitoring, data integration, and/or data quality products.
  • Strong knowledge of data observability trends, challenges, and opportunities.
  • Understanding of data warehouses, data lakes, and streaming data architectures.
  • Excellent communication and presentation skills for technical and non-technical audiences.
  • Ability to understand customer pain points, analyze data scenarios, and recommend observability strategies.
  • Proficiency with SQL, Python, R, data visualization tools, or data analytics platforms is a plus.
  • Ability to travel up to 50% to meet prospects and customers.

Interested in this position?

Apply directly on the company website

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