Solutions Engineer

CUBE are a global RegTech business defining and implementing the gold standard of regulatory intelligence for the financial services industry. We deliver our services through intuitive SaaS solutions, powered by AI, to simplify the complex and everchanging world of compliance for our clients.    Why us? 🌍 CUBE is a globally recognized brand at the forefront of Regulatory Technology. Our industry-leading SaaS solutions are trusted by the world’s top financial institutions globally. 🚀 In 2024, we achieved over 50% growth, both organically and through two strategic acquisitions. We’re a fast-paced, high-performing team that thrives on pushing boundaries—continuously evolving our products, services, and operations. At CUBE, we don’t just keep up we stay ahead. 🌱 We believe our future is built by bold, ambitious individuals who are driven to make a real difference. Our “make it happen” culture empowers you to take ownership of your career and accelerate your personal and professional development from day one. 🌐 With over 700 CUBERs across 19 countries spanning EMEA, the Americas, and APAC, we operate as one team with a shared mission to transform regulatory compliance. Diversity, collaboration, and purpose are the heartbeat of our success. 💡 We were among the first to harness the power of AI in regulatory intelligence, and we continue to lead with our cutting-edge technology. At CUBE, You will work alongside some of the brightest minds in AI research and engineering in developing impactful solutions that are reshaping the world of regulatory compliance. Role Mission: We are seeking an experienced Solutions Engineer to join our growing team. In this customer-facing role, you will work closely with CUBE's Powered By Enterprise Sales Directors and delivery teams to understand client needs and deliver compelling product demonstrations and proofs-of-concepts that address complex regulatory, compliance, and risk management challenges faced by financial institutions. You’ll act as a trusted advisor to prospective clients, helping bridge the gap between business needs and technical solutions. You’ll bring a deep understanding of the regulatory landscape and financial services operations, along with strong technical aptitude, to help our clients evaluate and adopt technology that streamlines compliance, reduces risk, and improves operational efficiency. Key Responsibilities: * Engage with prospects to understand their business case and requirements * Deliver engaging and bespoke product demonstrations to prospects, addressing technical and business value * Design and present proof-of-concept solutions tailored to client environments * Serve as technical expert and point of contact during the sales cycle * Partner with cross-functional teams such as product and engineering teams to relay customer feedback and iterations * Co-own (with Enterprise Sales Director) the RFP/RFI development and responses * Participate in industry events, webinars and customer workshops as needed * Stay up to date on financial services regulations technologies and emerging trends What we’re looking for: * 5+ experience in a Solutions, Pre-sales, Sales Engineering and Compliance Advisory/Consulting role with a focus in regulatory / compliance / risk products within Financial Services industry * Strong understanding of financial services workflows, regulatory landscape and industry-specific systems * Familiarity with RegTech tools and platforms used for compliance automation, surveillance, or risk management * Exceptional communication and presentation skills with both technical and non-technical audiences * Ability to lead discovery sessions that showcase value and ROI Interested? If you are passionate about leveraging technology to transform regulatory compliance and meet the qualifications outlined above, we invite you to apply. Please submit your resume detailing your relevant experience and interest in CUBE. CUBE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50. TL;DR As a Solutions Engineer at Dust, you will act as the technical bridge between our sales team and prospective customers, demonstrating how our AI operating system transforms and adds value to their workflows. Your primary focus will be partnering with customers to showcase our solution through technical demonstrations, use case scoping and supporting technical evaluations. You will work closely with our Sales, Customer Success, and Product & Engineering teams to ensure successful customer engagements. OUR CULTURE * Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs. * Small, High-Impact Team: Join a team of alumni from Stripe, Square, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every individual has massive scope and impact. * Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly. * Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them. * Ship to Learn: We move fast and learn from real user feedback. * Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly. WHAT YOU’LL DO * Partner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for success * Provide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholders * Help customers identify high-value use cases that align with Dust's capabilities and their specific business needs * Create and configure custom LLM agents in Dust to demonstrate practical applications * Own the technical evaluation end-to-end from customized demos to pilots, helping prospects by onboarding them onto the platform and driving pilot use-cases to completion * Represent the voice of the customer with Product & Engineering teams to ensure insights and feedback are being implemented into product strategy * Develop and maintain deep expertise in Dust's API capabilities and prompt engineering best practices * Educate customers on how to maximize value from generative AI within their workflows REQUIREMENTS * Meaningful experience in a combination of technical and customer-facing roles * Proven track record of helping customers unlock value from sophisticated software products * Experience conducting effective technical demonstrations and translating complex concepts to diverse audiences * Excellent communication and presentation skills with the ability to engage technical and business stakeholders * Strong technical aptitude with understanding of API concepts and generative AI prompt engineering principles * Passionate about educating customers of various backgrounds on new technologies * Ability to speak to both the technical and business value of a solution * Experience collaborating with cross-functional teams in fast-paced environments Ideal, But Not Required: * Experience with AI/ML technologies, particularly generative AI and LLMs * Background in productivity tools, knowledge management, or workflow automation * Coding experience to understand API implementations and create custom demos BENEFITS & COMPENSATION * Competitive compensation based on experience * We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures * Significant equity package in a Sequoia-backed startup * Health insurance for you and your dependents * New MacBook Pro or Linux machine, monitor, keyboard, etc. * Regular team events and offsites LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves. We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast. If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk. Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist. Learn how we think and work. * Our product constitution, a story about our mission * Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024 * LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024