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- Tasks: Lead technical sales cycles and showcase AI solutions to customers.
- Company: Join Snorkel AI, a leader in advanced AI and LLM projects backed by Stanford research.
- Benefits: Enjoy competitive pay, stock options, and opportunities for rapid career growth.
- Why this job: Shape the future of enterprise AI while working with top-tier teams in a dynamic environment.
- Qualifications: 2+ years in AI/ML pre-sales or 4+ years in technical sales engineering required.
- Other info: Location flexibility across UK, France, Germany, or UAE for the right candidate.
The predicted salary is between 43200 - 72000 £ per year.
At Snorkel AI, we’re spearheading some of the most advanced AI and LLM projects worldwide. Backed by a decade of research from the Stanford AI Lab and trusted by some of the largest Fortune 500 enterprises, Snorkel is transforming how organizations build domain-specific, high-performing AI and LLM systems—faster and more efficiently through a data-centric and programmatic approach. We are now expanding our EMEA GTM team and looking for a high-caliber AI Solutions Engineer to join as an early member of this growing region.
As part of the pre-sales organization, you will work at the heart of customer impact, partnering with our co-founders, sales, product, and engineering teams to shape AI strategies, scope and lead technical evaluations, and showcase the value of Snorkel’s core offerings: enterprise platform, services, and data-as-a-service. You will also work across functions to continue building the Snorkel AI Data Platform into the leading enterprise platform for data-centric AI Development & Evaluation. This is a unique opportunity to help define the future of enterprise AI while rapidly advancing your career in a high-growth, world-class GTM team in EMEA. As this role will be part of the founding team in EMEA, anyone outstanding in this role will have opportunities to rapidly grow in the organization.
Main Responsibilities
- Lead the technical side of the sales cycle—design and run tailored evaluations, demos, and Proof-of-Value (POV) projects aligned to customer outcomes.
- Act as a trusted advisor on AI strategy and architecture, working with stakeholders from C-level execs to data scientists and ML engineers.
- Own hands-on activities across the AI development lifecycle: from data prep and labeling to LLM tuning, evaluation, and deployment.
- Collaborate with sales leaders to influence deal strategy and ensure smooth transitions to post-sales Applied AI Engineering and customer success.
- Systematize and scale pre-sales motions—build reusable demos, workshop templates, and POV frameworks.
- Partner closely with our co-founders, product, and engineering teams to provide market feedback and shape our roadmap.
Preferred Qualifications
- 2+ years in AI/ML-focused pre-sales roles, or 4+ years in technical sales engineering with strong exposure to AI/LLM projects.
- Proficiency with modern AI/LLM tools and frameworks (e.g., PyTorch, HuggingFace, OpenAI, Mistral, Llama, etc.).
- Strong Python skills and familiarity with cloud platforms, MLOps, and enterprise tech stacks.
- Experience framing customer problems and delivering impactful AI solutions in real-world settings.
- Excellent communication and presentation skills, able to connect technical capabilities to business value across audiences.
- Background in computer science, engineering, or a related field—advanced degree preferred (but not required).
Location: London (UK) is strongly preferred, but we could consider UK, France, Germany, or UAE for the right candidate.
Competitive package with 70/30 base/variable split OTE, with stock options. Compensation depends on level of experience and country.
AI Solutions Engineer employer: The Rundown AI, Inc.
Contact Detail:
The Rundown AI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with Snorkel AI's core offerings and recent projects. Understanding their data-centric approach and how they integrate AI solutions will help you articulate your value during discussions with the team.
✨Tip Number 2
Network with current employees or industry professionals who have experience in AI/ML pre-sales roles. Engaging in conversations about their experiences can provide insights into the company culture and expectations for the role.
✨Tip Number 3
Prepare to showcase your technical skills by working on relevant AI/ML projects or contributing to open-source initiatives. This hands-on experience will not only enhance your resume but also give you practical examples to discuss during interviews.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI and LLM technologies. Being knowledgeable about current tools and frameworks will demonstrate your commitment to the field and your ability to provide valuable insights to potential clients.
We think you need these skills to ace AI Solutions Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI/ML and technical sales engineering. Emphasise your proficiency with tools like PyTorch and OpenAI, and showcase any hands-on projects that demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific responsibilities of the AI Solutions Engineer role. Mention your experience in leading technical evaluations and how you can contribute to Snorkel AI's mission.
Showcase Communication Skills: In your application, provide examples of how you've effectively communicated complex technical concepts to diverse audiences. This is crucial for the role, so highlight any presentations or workshops you've led.
Highlight Collaborative Experience: Demonstrate your ability to work across functions by detailing past experiences where you collaborated with sales, product, or engineering teams. This will show your potential to thrive in Snorkel AI's team-oriented environment.
How to prepare for a job interview at The Rundown AI, Inc.
✨Showcase Your Technical Expertise
As an AI Solutions Engineer, it's crucial to demonstrate your proficiency with modern AI/LLM tools and frameworks. Be prepared to discuss specific projects where you've used technologies like PyTorch or HuggingFace, and how they contributed to successful outcomes.
✨Understand the Customer's Needs
During the interview, focus on your ability to frame customer problems and deliver impactful AI solutions. Share examples of how you've acted as a trusted advisor in previous roles, particularly when working with diverse stakeholders from C-level executives to data scientists.
✨Prepare for Hands-On Scenarios
Expect to discuss hands-on activities across the AI development lifecycle. Be ready to explain your experience with data preparation, LLM tuning, and deployment, as well as how you can lead tailored evaluations and demos that align with customer outcomes.
✨Communicate Effectively
Excellent communication skills are key for this role. Practice articulating complex technical concepts in a way that connects with business value. Prepare to present your ideas clearly and confidently, as this will be essential when collaborating with sales leaders and other teams.
