At a Glance
- Tasks: Drive success by showcasing our innovative data observability solutions to customers.
- Company: Join Acceldata, a leading tech company in Enterprise Data Observability.
- Benefits: Competitive salary, inclusive culture, and opportunities for continuous learning.
- Other info: Collaborate with top minds in a dynamic, growth-focused environment.
- Why this job: Be a key player in transforming how enterprises manage their data.
- Qualifications: 7+ years experience in relevant roles and strong technical skills required.
The predicted salary is between 70000 - 90000 € per year.
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.
ABOUT THE ROLE
As a dynamic 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.
RESPONSIBILITIES
- Collaborate with Acceldata sales, product, finance, and support teams to help prospects and partners identify the value and need for Acceldata Products to drive sales.
- 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 sales 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 and assist with crafting SOWs.
- Lead the implementation of proof of concepts to demonstrate the value and functionality of our products in the customer's environment.
- Analyze results and present findings to key 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, and more 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.
- Develop and maintain 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.
REQUIREMENTS
- 7+ years of experience in a relevant role.
- Bachelor's degree in computer science, engineering, data science, or a related field.
- Must have hands-on experience with at least one of the following cloud providers: AWS, GCP, and/or Azure.
- Must have hands-on experience with cloud platforms, including Databricks or Snowflake.
- Must have a 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 in the industry.
- 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.
- Capacity to analyze customer data scenarios and recommend suitable data observability strategies.
- Proficiency in data technologies and tools such as SQL, Python, R, data visualization tools, and data analytics platforms is a plus.
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 may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Sales Engineer | Open Data Platform (ODP) employer: Acceldata
Acceldata is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Sales Engineers to thrive. With a commitment to employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry leaders in a dynamic environment located in Silicon Valley. Our inclusive workplace values diverse perspectives and encourages out-of-the-box thinking, ensuring that every team member can contribute meaningfully to our mission of transforming data observability.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Engineer | Open Data Platform (ODP)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Prepare a killer demo or presentation that highlights your technical expertise. Tailor it to the specific needs of the company you're applying to, like Acceldata's focus on data observability.
✨Tip Number 3
Practice makes perfect! Get a friend to do a mock interview with you. Focus on explaining complex concepts simply, just like you'd need to do with clients at Acceldata.
✨Tip Number 4
Don’t forget to follow up! After interviews, send a thank-you note expressing your enthusiasm for the role. It shows you're genuinely interested and keeps you top of mind.
We think you need these skills to ace Sales Engineer | Open Data Platform (ODP)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data observability and cloud platforms. We want to see how your skills align with the role of a Sales Engineer at Acceldata!
Showcase Your Technical Skills:Don’t hold back on showcasing your hands-on experience with AWS, GCP, or Azure. We love seeing candidates who can demonstrate their technical expertise in data technologies and tools, so make it clear in your application!
Communicate Clearly:Your written application is your first chance to impress us, so make sure it's clear and concise. Use straightforward language to explain complex concepts, as this reflects the communication skills we value in our Sales Engineers.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Acceldata
✨Know Your Tech Inside Out
As a Sales Engineer, you'll need to demonstrate your technical expertise. Brush up on the specifics of data observability, cloud platforms like AWS, GCP, and Azure, and tools such as Databricks or Snowflake. Be ready to discuss how these technologies can solve customer challenges.
✨Tailor Your Presentations
When preparing for your interview, think about how you would customise a product demo for a specific client. Show that you can adapt your approach based on the unique needs of different customers. This will highlight your ability to connect with prospects and address their pain points effectively.
✨Showcase Your Communication Skills
You’ll need to convey complex technical concepts clearly to both technical and non-technical audiences. Practice explaining data observability solutions in simple terms. During the interview, focus on your ability to listen and respond to questions thoughtfully, demonstrating your understanding of customer needs.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions where you’ll need to analyse customer data scenarios and recommend suitable strategies. Think through potential case studies or examples from your past experience where you successfully implemented data solutions. This will show your practical knowledge and problem-solving skills.
