At a Glance
- Tasks: Lead technical sales, demonstrate innovative software, and manage complex client requirements.
- Company: Fast-growing tech company focused on AI-powered solutions for executive decision-making.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and career advancement.
- Why this job: Join a dynamic team and shape the future of technology with impactful AI solutions.
- Qualifications: Experience in technical sales or solutions engineering, with strong communication skills.
The predicted salary is between 60000 - 80000 £ per year.
About the role
We have partnered with a fast-growing technology company to recruit a Solutions Engineer on their behalf. Our client helps boards and executive teams make better decisions through software and advisory services. As their client base grows and their platform evolves, particularly with the introduction of AI-powered capabilities, prospective clients are undertaking increasingly rigorous technical, security and governance reviews before making purchasing decisions. The Solutions Engineer serves as the technical authority within the sales process, partnering with Account Executives to help prospects understand, trust and confidently adopt the technology.
You will combine deep expertise in the platform, hosting infrastructure, security controls and AI capabilities with the ability to communicate clearly to both technical and non-technical audiences. You will help clients understand how the technology works, how it is secured and how it can address their needs, while managing complex technical diligence processes through to successful completion.
Key responsibilities
- Technical sales leadership
- Partner with Enterprise sales teams on strategic opportunities and complex Enterprise deals
- Lead technical discovery conversations to understand client requirements, constraints and concerns
- Deliver compelling demonstrations of the platform tailored to client use cases and priorities
- Translate client requirements into realistic, practical solutions using the platform's current capabilities
- Build confidence amongst both technical and business stakeholders throughout the buying process
- Support Enterprise Directors in progressing opportunities and removing technical barriers to purchases
- Prioritise and balance pre-sales activities – demonstrations, solution workshops and customer engagements – to maximise commercial impact and support revenue objectives
Security, AI and technical due diligence
- Act as the primary client-facing expert on platform architecture, hosting, security controls, integrations, data management and AI capabilities
- Lead discussions with client security, technology, procurement, compliance, legal and risk teams
- Coordinate and project manage complex information security review processes from initiation through to approval
- Own the completion and quality assurance of security questionnaires, due diligence requests, architecture reviews and technical assessments, leveraging AI where possible
- Work closely with Product, Engineering, Operations and external partners to gather responses and evidence required during procurement processes
- Explain security controls and risk management practices in a way that is both accurate and confidence-building
AI and platform expertise
- Develop deep expertise in the platform architecture and product road map
- Become the internal authority on AI capabilities, governance approach, controls and data handling practices
- Help clients understand how AI functionality operates within the platform and how it aligns with their governance and risk requirements
Knowledge management and continuous improvement
- Own and maintain security documentation, AI governance documentation, hosting documentation, technical FAQs, due diligence response libraries and architecture materials
- Continuously improve the quality, consistency and efficiency of technical responses
Required experience
- Experience in Solutions Consulting, Sales Engineering, Technical Pre-Sales, Solutions Architecture or a similar client-facing technical role.
- Proven track record supporting Enterprise SaaS sales processes
- Experience leading technical diligence and security review processes with large organisations
- Strong understanding of cloud infrastructure, SaaS architecture, integrations and enterprise technology environments
- Familiarity with information security frameworks and enterprise procurement requirements
- Experience discussing AI technologies, governance and security considerations with clients
Skills and attributes
- Curious, analytical and continuously learning about AI, security and emerging technologies
- Exceptional ability to explain complex technical concepts clearly and confidently
- Strong project management skills and attention to detail
- Excellent written communication skills, particularly in security and technical documentation
- Executive presence and credibility with senior stakeholders
- Commercial awareness and understanding of how technical diligence impacts deal progression
- Strong stakeholder management and collaboration
Solutions Engineer employer: Node & Vector
As a Solutions Engineer at our fast-growing technology company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages continuous learning, particularly in the exciting fields of AI and security. Join us in a location that fosters creativity and teamwork, where your expertise will directly contribute to empowering executive teams to make informed decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your technical explanations! You’ll need to break down complex concepts for both tech-savvy and non-tech audiences. Use examples from your past experiences to illustrate how you've tackled similar challenges.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to referrals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who want to make an impact.
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Show Your Technical Expertise:Make sure to highlight your experience in Solutions Consulting or Sales Engineering. We want to see how you've tackled technical challenges and supported Enterprise SaaS sales processes in the past.
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific skills and experiences that align with the Solutions Engineer role. We love seeing how you can connect your background to our needs.
Communicate Clearly:Your written communication skills are key! Use clear, concise language to explain complex concepts. Remember, we need to see how you can break down technical jargon for both technical and non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Node & Vector
✨Know Your Tech Inside Out
As a Solutions Engineer, you need to be the go-to expert on the platform and its AI capabilities. Brush up on the technical details, including security controls and integrations, so you can confidently answer any questions that come your way during the interview.
✨Tailor Your Examples
When discussing your experience, make sure to tailor your examples to the specific responsibilities of the role. Highlight instances where you've successfully led technical discovery conversations or managed complex security reviews, showing how your skills align with what the company is looking for.
✨Practice Clear Communication
You’ll need to explain complex concepts to both technical and non-technical audiences. Practice articulating your thoughts clearly and concisely, perhaps by doing mock interviews with friends or colleagues. This will help you build confidence and ensure you can convey your expertise effectively.
✨Show Your Curiosity
Demonstrate your passion for continuous learning, especially in AI and security. Be prepared to discuss recent trends or technologies you've explored, as this shows you're proactive and genuinely interested in the field, which is a key trait for a Solutions Engineer.
