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For Companies At a Glance
- Tasks: Help customers adopt our AI technology for maximum value and create tailored solutions.
- Company: Join Mindset AI, a fast-growing SaaS company leading the AI revolution.
- Benefits: Enjoy unlimited holiday and a pension plan while working in a dynamic environment.
- Why this job: Be part of an innovative team shaping the future of AI with impactful solutions.
- Qualifications: Strong technical background in APIs and system architecture; problem-solving skills are a must.
- Other info: This is an entry-level position in a VC-backed scale-up business.
The predicted salary is between 42000 - 84000 £ per year.
Mindset AI is a fast-growing, venture-funded SaaS company and AI agent platform at the forefront of the AI revolution.
Our platform is building a future AI workforce, enabling customers to create AI agents that automate important tasks, make content searchable, provide instant answers, and integrate into tools like Slack, Teams, and other existing technologies.
Role Description
This role is about helping customers adopt our technology in the best possible way to get maximum value. Working closely with our Customer Success Representatives, this role will engage with customers to understand their use case and context. You will also work with our Sales team to learn what prospects need to achieve and to recommend technological solutions within our platform based on those needs.
Responsibilities:
- Understanding customer use cases and contexts
- Constructing implementation plans closely with the CSRs
- Architecting tailored solutions using the company’s platform to effectively address customer needs.
- Demonstrating product features and capabilities through presentations and proof-of-concept implementations.
- Answering technical questions to overcome objections during the sales cycle.
- Contributing technical expertise to Requests for Proposals (RFPs) and Requests for Information (RFIs).
- Maintaining an in-depth understanding of the company’s product suite and its functionalities.
- Creating detailed technical materials to support customer decision-making.
- Gathering feedback from clients and communicating it to product development teams to improve solutions.
This role will work within Customer Success.
Salary: £60,000
Qualifications:
- Strong technical background in APIs, and/or system architecture.
- Knowledge of databases, DevOps practices, and security best practices.
- Excellent problem-solving, communication, and stakeholder management skills.
- Ability to translate complex technical concepts into business value.
- Preferred: Certifications (AWS, GCP, CCNA) and prior experience in pre-sales or solution architecture.
In return:
- Unlimited holiday
- Pension
This is an opportunity to join a VC-backed scale-up business.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Software Development
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Solutions Engineer employer: Mindset AI
Contact Detail:
Mindset AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Familiarize yourself with Mindset AI's platform and its features. Understanding how the technology works will allow you to engage more effectively with customers and demonstrate the value of the solutions you can provide.
✨Tip Number 2
Brush up on your knowledge of APIs, system architecture, and DevOps practices. Being able to speak confidently about these topics will help you connect with both customers and the sales team, showcasing your technical expertise.
✨Tip Number 3
Practice translating complex technical concepts into business value. This skill is crucial for a Solutions Engineer, as you'll need to communicate effectively with clients who may not have a technical background.
✨Tip Number 4
Network with professionals in the SaaS and AI industries. Engaging with others in the field can provide insights into best practices and trends, which can be beneficial during interviews and when discussing customer needs.
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Solutions Engineer position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Technical Skills: Emphasize your technical background in APIs, system architecture, and any relevant certifications like AWS or GCP. Provide specific examples of how you've applied these skills in previous roles or projects.
Showcase Problem-Solving Abilities: Include examples in your application that demonstrate your problem-solving skills and ability to translate complex technical concepts into business value. This will show Mindset AI that you can effectively engage with customers and address their needs.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and the company. Mention why you are excited about the opportunity to work at Mindset AI and how you can contribute to their mission.
How to prepare for a job interview at Mindset AI
✨Understand the Technology
Make sure you have a solid grasp of the company's platform and its functionalities. Familiarize yourself with APIs, system architecture, and how they integrate into tools like Slack and Teams. This knowledge will help you answer technical questions confidently.
✨Know the Customer's Use Case
Prepare to discuss how you would approach understanding a customer's specific needs. Think about how you can construct implementation plans and tailor solutions that align with their context. This shows your ability to engage effectively with customers.
✨Demonstrate Problem-Solving Skills
Be ready to showcase your problem-solving abilities during the interview. You might be asked to provide examples of how you've tackled technical challenges in the past or how you would address potential objections during the sales cycle.
✨Communicate Clearly
Practice translating complex technical concepts into business value. Your ability to communicate effectively with both technical and non-technical stakeholders is crucial for this role, so be prepared to demonstrate this skill during the interview.
