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For Companies At a Glance
- Tasks: Drive sales success by showcasing cutting-edge data observability solutions to customers.
- Company: Join Acceldata, a leader in Enterprise Data Observability with a dynamic culture.
- Benefits: Enjoy competitive salary, growth opportunities, and a supportive work environment.
- Why this job: Make an impact in the tech world while collaborating with top industry minds.
- Qualifications: 7+ years in a relevant role with strong technical skills in cloud platforms.
- Other info: Experience a culture that values innovation and continuous learning.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Us
Acceldata is the market leader in Enterprise Data Observability. Founded in 2018, Silicon Valley-based Acceldata has developed the world's first Enterprise Data Observability Platform to help build and operate great data products. Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical capabilities that deliver highly trusted and reliable data to power enterprise data products. Delivered as a SaaS product, Acceldata's solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more. Acceldata is a Series‑C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
Position Summary
Acceldata is seeking a dynamic and results‑oriented global 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.
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, 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.
- 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.
Equal Opportunity Employer
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.
Life @ Acceldata
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. At Acceldata, each job and role serves a purpose towards our business goals. You’ll have opportunities to make an immediate impact on mission‑critical projects as you work with highly capable and ambitious peer groups.
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.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Sales and Business Development
Industries: Software Development
Sales Engineer (UK) employer: Acceldata
Contact Detail:
Acceldata Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer (UK)
✨Tip Number 1
Get to know the company inside out! Research Acceldata's products and their impact on data observability. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Practice your technical presentations! As a Sales Engineer, you'll need to showcase solutions effectively. Run through demos with friends or family to get comfortable explaining complex concepts in simple terms.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider insights and potentially boost your chances of landing that interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the Acceldata team!
We think you need these skills to ace Sales Engineer (UK)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience and skills that match the Sales Engineer role. We want to see how your background aligns with our needs at Acceldata!
Showcase Your Technical Skills: Since this role is all about technical expertise, don’t shy away from detailing your hands-on experience with cloud providers like AWS, GCP, or Azure. We love seeing how you’ve tackled data observability challenges in the past!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Acceldata
✨Know Your Tech Inside Out
As a Sales Engineer, you'll need to showcase your technical expertise. Brush up on your knowledge of cloud platforms like AWS, GCP, or Azure, and be ready to discuss how they relate to data observability. Familiarise yourself with the specific technologies mentioned in the job description, such as Databricks and Snowflake.
✨Tailor Your Presentation Skills
You'll likely be asked to conduct product demonstrations during the interview. Prepare a mini-presentation that highlights how Acceldata's solutions can solve specific customer challenges. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Understand Customer Needs
Be ready to discuss how you would approach understanding a customer's pain points. Think of examples from your past experience where you successfully identified and addressed customer needs. This will show your ability to listen and propose relevant solutions, which is crucial for the role.
✨Showcase Your Collaborative Spirit
Since the role involves working closely with sales, product, and support teams, be prepared to talk about your experience in collaborative environments. Share examples of how you've partnered with different teams to drive success and how you can contribute to Acceldata's high-performing culture.
