The Sales Engineer will support account teams, conduct product demonstrations, develop technical proposals, and analyze customer data scenarios to promote data observability solutions.
About Us
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
Our Enterprise Data Observability Platform—the first of its kind—helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today’s most critical technologies, including AI, LLMs, Analytics, and DataOps.
Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey’s, Dun & Bradstreet, and many more.
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 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.
*We are looking for candidates on the East Coast or in Canada*
We’re looking for someone who can:
- Collaborate with Acceldata Account Teams, Product, and Customer Support teams to help prospects, customers, and partners identify the value and need for Acceldata solutions.
- Develop, 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 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. 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 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 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.
What makes you the right fit for this position?
- 8+ years of experience in a SaaS sales engineering 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.
At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.
#LifeAtAcceldata is all about working with some of the best minds in the industry and experiencing a culture that values an ‘out-of-the-box’ mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be!
We also believe in providing our employees with the right tools and resources to help them excel at their job. We offer:
- Flexible PTO Plan
- Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans
- Discounts and offerings for major vendors through our PEO
- Apple Air Mac Equipment
- Becoming part of the team that coined the term “Data Observability”!
Top Skills
AWS
Azure
Databricks
GCP
Python
R
Snowflake
SQL
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