acceldata Logo

acceldata

Sales Engineer | xLake Platform

Reposted 13 Days Ago
In-Office or Remote
Hiring Remotely in United States
200K-250K Annually
Mid level
In-Office or Remote
Hiring Remotely in United States
200K-250K Annually
Mid level
The Sales Engineer will support account teams, conduct product demonstrations, develop technical proposals, and analyze customer data scenarios to promote data observability solutions.
The summary above was generated by AI
Position Summary

Acceldata is seeking a dynamic and results-oriented 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 xLake Platform (Cross Lake Data Platform). 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.
Read More: https://acceldata.io/platform

We’re looking for someone who can:

  • Collaborate with Acceldata teams to help clients and partners recognize the benefits of our offerings.
  • Develop, customise, and conduct tailored technical presentations and product demonstrations to prospective customers, highlighting how our solutions meet their needs.
  • Partner with the Enterprise and Strategic Accounts teams 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 & assist with crafting statements of work (SOWs).
  • Lead the implementation of POCs to demonstrate the value & functionality of our products in the customer's environment. Analyse 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 success.
  • Educate 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 base articles, to aid customers and internal stakeholders in understanding and utilising 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.

What makes you the right fit for this position?

  • 10+ years of experience in a sales engineering role or customer-facing role.
  • Bachelor's degree in computer science, engineering, data science, or a related field.
  • Hands-on experience with at least one of the following CSVs: AWS, GCP, and/or Azure. 
  • Hands-on experience with cloud platforms, including Databricks or Snowflake.
  • 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 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.
  • 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 mindset” - 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 qualified prospects as well as customers.
  • Willingness to do “whatever it takes” to WIN.

Similar Jobs

2 Minutes Ago
Remote or Hybrid
US
135K-155K Annually
Senior level
135K-155K Annually
Senior level
Big Data • Fintech • Information Technology • Insurance • Software
Own Bestow’s total rewards portfolio, including compensation benchmarking, salary bands, merit and bonus cycles, equity administration, geographic pay ranges, benefits strategy, and renewals. Configure and maintain Pave, ensure HRIS data integrity, support job leveling, model equity programs, and partner with Finance, Legal, brokers, and the compensation committee. This hands-on role will build the company’s Total Rewards infrastructure from the ground up.
Top Skills: BamboohrCartaExcelPaveRadford
2 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
128K-171K Annually
Senior level
128K-171K Annually
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
Owns financial visibility and performance for the e-commerce business, including forecasting, budgeting, variance analysis, pricing and promotion ROI, margin reporting, accruals, dashboards, and executive and board presentations. Partners cross-functionally to ensure data integrity, establish financial processes, identify risks and opportunities, and implement AI-enabled improvements across FP&A workflows.
Top Skills: ChatgptClaudeCopilotExcelGoogle SheetsNetsuite Planning & BudgetingOracle Hyperion
4 Minutes Ago
Remote or Hybrid
NC, USA
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Security • Software • Cybersecurity • Data Privacy
Serve as the senior escalation point for complex technical support issues, diagnosing root causes through diagnostic tools and codebase investigation. Coordinate with Engineering, R&D, and Product to resolve bugs and recurring customer problems. Mentor support engineers, manage customer escalations, communicate with technical and senior stakeholders, improve support processes and tooling, and help achieve quality, response-time, and resolution KPIs.
Top Skills: ClaudeDockerGitGithub CopilotGoJavaScriptKubernetesNode.jsTypescript

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account