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- Tasks: Collaborate with Account Executives to identify and qualify sales opportunities.
- Company: Join a leading tech company focused on Customer Data Infrastructure solutions.
- Benefits: Enjoy remote work flexibility and access to cutting-edge technology.
- Why this job: Be part of a dynamic team driving innovation in digital analytics and AI/ML.
- Qualifications: 5+ years in Sales Engineering with strong technical skills in data and cloud services.
- Other info: Ideal for tech-savvy individuals passionate about data-driven solutions.
The predicted salary is between 43200 - 72000 £ per year.
Partner with Account Executives to qualify opportunities and identify use cases across key verticals (retail, media, digital products/services).
Leverage your domain expertise to showcase how Customer Data Infrastructure enables digital analytics, marketing, product analytics, and AI/ML use cases.
Design and deliver bespoke pitches and demos for various prospect stakeholders such as Heads of Data, CTOs, data engineers / analysts / scientists, and wider senior management.
Proven experience with 5+ years in a Sales Engineering capacity.
You have strong technical skills and professional experience in:
- web and mobile app development
- SQL
- ETL or data pipelines
- data analysis
You have experience with cloud data warehouses / lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS.
You have experience with AWS, GCP, and/or Azure cloud services.
You have strong technical skills and experience with data modeling and dbt.
You have programming experience with Java and Python.
Ability to drive business value through technical champion building and high level POV's & POC's.
Sales Engineer (Remote) employer: Orama Solutions
Contact Detail:
Orama Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sales Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the specific cloud services mentioned in the job description, such as AWS, GCP, and Azure. Being able to discuss your hands-on experience with these platforms during interviews will demonstrate your technical expertise and make you stand out.
✨Tip Number 2
Prepare to showcase your experience in web and mobile app development, SQL, and data analysis. Think of specific projects where you've successfully applied these skills, as real-world examples can significantly strengthen your case.
✨Tip Number 3
Understand the key verticals mentioned, like retail and media. Research current trends and challenges in these industries so you can speak knowledgeably about how Customer Data Infrastructure can address their needs during discussions.
✨Tip Number 4
Practice delivering bespoke pitches and demos tailored to different stakeholders. Role-play scenarios with friends or colleagues to refine your presentation skills and ensure you can effectively communicate complex technical concepts to non-technical audiences.
We think you need these skills to ace Sales Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Sales Engineering, particularly your technical skills in web and mobile app development, SQL, and cloud services like AWS or GCP. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the job requirements. Mention your experience with data pipelines and analytics, and how you can leverage your domain expertise to drive business value for the company.
Showcase Technical Skills: Be explicit about your technical skills in your application. Include details about your experience with cloud data warehouses, programming languages like Java and Python, and any relevant projects that showcase your ability to design and deliver bespoke pitches.
Highlight Collaboration Experience: Since the role involves partnering with Account Executives, emphasise any past experiences where you've successfully collaborated with sales teams or other stakeholders. This will demonstrate your ability to work effectively in a team-oriented environment.
How to prepare for a job interview at Orama Solutions
✨Understand the Technical Landscape
Make sure you have a solid grasp of the technologies mentioned in the job description, such as SQL, ETL processes, and cloud services like AWS or GCP. Be prepared to discuss how you've used these tools in your previous roles.
✨Showcase Your Sales Engineering Experience
Highlight your past experiences in sales engineering, particularly any successful pitches or demos you've delivered. Use specific examples to demonstrate how you've partnered with account executives to qualify opportunities.
✨Prepare for Technical Questions
Expect technical questions related to data modelling, programming languages like Java and Python, and your experience with data pipelines. Brush up on these topics and be ready to explain complex concepts in simple terms.
✨Tailor Your Pitch
Since you'll be designing bespoke pitches, think about how you can tailor your approach to different stakeholders. Prepare to discuss how Customer Data Infrastructure can benefit various roles, from data engineers to CTOs.
