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- Tasks: Join our team as a GTM Sales Engineer, driving enterprise evaluations and crafting impactful solutions.
- Company: Be part of a fast-growing AI company revolutionising industries with autonomous digital workers.
- Benefits: Enjoy a hybrid work model and collaborate with an elite team in a dynamic environment.
- Why this job: Shape the future of go-to-market strategies while influencing product development in a cutting-edge field.
- Qualifications: 5+ years in enterprise SaaS, strong communication skills, and experience with AI/ML concepts preferred.
- Other info: This is a unique opportunity to redefine GTM operations with AI and make a real impact.
The predicted salary is between 43200 - 72000 £ per year.
Location: United Kingdom - Hybrid Office London
Our client is building autonomous digital workers that manage routine tasks end-to-end, enabling people to focus on what they do best—creating, innovating, and forming meaningful connections. As one of the fastest-growing AI companies, we’ve achieved significant growth and raised over $95M from leading investors. Our team works together, moving quickly to revolutionize industries with AI.
We’re seeking a GTM Sales Engineer to join our team and collaborate closely with Account Executives on complex, high-value enterprise deals. This is not a traditional SE role—it’s a unique opportunity to help shape the future of go-to-market (GTM) strategies with AI. You’ll bring deep technical expertise and business acumen to drive enterprise evaluations, architect impactful solutions, and build strong relationships with senior stakeholders across Revenue Operations, Sales, and Marketing.
You will be responsible for understanding key pain points across these teams and translating our platform’s capabilities into solutions that resonate with executives. Whether you’re running technical demos, leading pilots, or creating reusable content for the sales team, your contributions will be crucial in driving growth and influencing the product roadmap.
We’re looking for a professional with 5+ years of experience in enterprise SaaS, particularly in complex, multi-stakeholder deal cycles. You should be comfortable leading technical deep-dives, managing pilots, and delivering crisp, tailored demos that drive real business outcomes. Experience with AI/ML concepts or working with AI-powered products is a plus. Strong communication skills are essential—you should be able to seamlessly shift from high-level business strategy to technical details in a way that aligns with both technical and executive audiences.
This role offers the opportunity to be on the frontlines of a company reshaping the future of GTM operations with AI. You’ll collaborate daily with an elite team of technologists, operators, and creatives, helping to build and scale not just the product, but also the playbook for how we win.
Ready to help define the future of AI in GTM? Let’s talk.
Contact Detail:
Space Executive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Sales Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and SaaS. Understanding how these technologies are shaping the market will help you engage in meaningful conversations during interviews and demonstrate your passion for the industry.
✨Tip Number 2
Network with professionals in the AI and sales engineering fields. Attend industry events, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully managed complex, multi-stakeholder deal cycles in the past. Highlight your ability to translate technical capabilities into business solutions that resonate with executives.
✨Tip Number 4
Showcase your communication skills by practising how to explain technical concepts to non-technical audiences. Being able to articulate your ideas clearly will be crucial in this role, especially when collaborating with senior stakeholders.
We think you need these skills to ace Senior Sales Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Sales Engineer position. Familiarise yourself with the company's AI products and how they impact GTM strategies.
Tailor Your CV: Highlight your relevant experience in enterprise SaaS and complex deal cycles. Emphasise your technical expertise and any experience with AI/ML concepts. Make sure to showcase your strong communication skills and ability to engage with both technical and executive audiences.
Craft a Compelling Cover Letter: Use your cover letter to explain why you're passionate about the role and how your background aligns with the company's mission. Mention specific examples of how you've successfully managed pilots or led technical demos in previous roles.
Proofread and Edit: Before submitting your application, carefully proofread your CV and cover letter for any errors. Ensure that your documents are clear, concise, and free from typos, as attention to detail is crucial in this role.
How to prepare for a job interview at Space Executive
✨Understand the Company and Its Product
Before the interview, make sure to research the company’s AI products and how they fit into the market. Understanding their unique selling points will help you articulate how your skills can contribute to their goals.
✨Prepare for Technical Deep-Dives
Given the technical nature of the role, be ready to discuss complex technical concepts and demonstrate your expertise. Prepare examples from your past experience where you successfully led technical discussions or demos.
✨Showcase Your Business Acumen
This role requires a blend of technical knowledge and business insight. Be prepared to discuss how you’ve translated technical capabilities into business solutions in previous roles, especially in multi-stakeholder environments.
✨Practice Communication Skills
Strong communication is key for this position. Practice explaining technical concepts in simple terms, as you’ll need to engage with both technical teams and executive stakeholders. Tailor your language to suit your audience.
