Okay, I've searched for Solutions Engineer or Pre-Sales Engineer roles that are full-time remote positions within EMEA, requiring AI/ML expertise, a Computer Science degree, and at least 3 years of experience. I have found 142 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Solutions Engineer (Pre-Sales) role for SOUTH EMEA at poolside is fundamentally designed to be the technical bridge between customers—both developers and enterprises—and the internal teams shaping poolside's AI-powered software development platform. The role requires deep technical expertise in AI, particularly generative AI and machine learning, alongside strong communication and empathy to understand diverse customer requirements and translate those into actionable insights for engineering and product. Candidates will need to handle complex, multi-stakeholder projects under shifting scenarios while maintaining trust and delivering tailored solutions that showcase clear business value. Success here means becoming a trusted technical advisor who not only drives pre-sales engagements and proof-of-value projects but also influences product direction and go-to-market strategies in a scaling startup environment. Remote collaboration, transparency, and living across multiple time zones are also critical, given the global and distributed nature of the team. Native French language skills underscore the regional customer engagement and communication complexities involved. Ultimately, thriving in this role means excelling in both technical problem-solving and interpersonal dynamics to empower customers and internal colleagues alike.

Company Analysis:

poolside sits at the cutting edge of AI-driven software development, positioning itself as a forward-thinking startup focused on human-level artificial intelligence that fundamentally transforms how software is created. The company operates as a remote-first, globally distributed team that prizes authenticity, transparency, and empathy — reflective of a culture that values deep technical expertise balanced with open collaboration and respect for diverse perspectives. As an early-stage but ambitious player in the generative AI space, poolside emphasizes rapid growth, technical excellence, and strong cross-functional alignment, especially between Revenue, Engineering, and Product organizations. The team culture is designed for dedicated, self-motivated individuals who can execute with precision while contributing strategically to the company’s long-term vision of democratizing software development. The Solutions Engineer role is thus both highly visible and strategically critical, acting as a linchpin in customer success and product evolution during a pivotal phase of innovation and market expansion.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage conflicting technical requirements from multiple stakeholders. How did you ensure alignment and deliver a successful solution?
• Behavioral: Describe an instance where you had to build trust with a customer who was initially skeptical about your product's capabilities. What strategies did you use?
• Behavioral: Can you share an example of how you have collaborated remotely across different time zones and cultures? How did you overcome communication challenges?
• Behavioral: How have you handled situations where a project’s scope changed significantly mid-cycle? What steps did you take to adapt and keep things on track?
• Technical: How would you approach designing and executing a proof-of-value project to demonstrate the effectiveness of poolside’s AI platform to a skeptical enterprise client?
• Technical: Explain your understanding of generative AI coding platforms and how you have integrated APIs from such platforms in previous roles.
• Technical: What considerations do you take into account when translating complex customer needs into product feature requests for engineering teams?
• Technical: How would you stay current on emerging trends in AI and machine learning, particularly those relevant to software engineering, and incorporate those insights into your customer engagements?
• Situational: Imagine you are in a technical pre-sales discussion and the customer raises concerns about AI model limitations impacting their use case. How do you address their concerns while maintaining confidence in poolside’s capabilities?
• Situational: A key enterprise customer requires on-site engagement and customization, but travel restrictions limit your availability. How would you ensure a seamless customer experience under these constraints?
• Situational: Suppose two internal teams (Product and Engineering) disagree on prioritizing a feature based on client feedback you delivered. How would you facilitate resolution?
• Company Fit: Why are you interested in working at poolside specifically, and how do you see yourself contributing to our mission of democratizing AI-assisted software development?
• Company Fit: How do your personal values align with poolside’s emphasis on empathy, transparency, and dedication in a remote, cross-functional work environment?
• Company Fit: What excites you most about the opportunity to work with cutting-edge AI technology aimed at transforming software development?
• Questions for Interviewer: Can you describe how the Solutions Engineering team collaborates with Product and Engineering during the early product development stages?
• Questions for Interviewer: What are the biggest challenges poolside anticipates in scaling solutions engineering in the SOUTH EMEA region, and how can this role help address them?
• Questions for Interviewer: How does poolside support continuous learning and career growth for Solutions Engineers within the Revenue organization and beyond?