영업 in London

About CUBIG

CUBIG is building a new data standard that enables AI to work reliably in real-world business environments. While many companies focus primarily on AI model performance, CUBIG focuses on the real reason AI often fails in production: the state of the data. We transform enterprise data into an AI-ready state, making it immediately usable for AI training, deployment and business operations. We also help organisations preserve and manage the execution state of their data so that AI outcomes remain consistent, even as underlying data changes over time.

CUBIG goes beyond data security. We help enterprises overcome the barriers of privacy, regulation and data governance so they can adopt AI faster and create measurable business impact. With technology designed to meet global security and compliance standards, CUBIG is expanding beyond Korea into the US and European markets, setting a new standard for data-centric AI. The AI market is moving beyond model competition. The next era of AI will be won through data readiness, governance and operational reliability. We are looking for colleagues who want to help build the foundation for this next phase of AI.

Our Culture

• Startup execution with clear direction: We are a team that values flexibility, speed and execution. But speed alone is not enough. We care about moving fast in the right direction. At CUBIG, we reduce unnecessary processes, look for more efficient ways to work and focus on making things happen. We test quickly, identify problems clearly and are not afraid to change direction when needed. Our standard is simple: make it work in the real world.
• Ambitious goals, deep problem-solving: We do not only set goals that are easy to achieve. We set goals that matter. We go deeper into problems that cannot be solved by conventional approaches and look for new ways to solve them. CUBIG's technology is built from this mindset of challenge, depth and persistence.
• Performance starts with people: We believe that company performance ultimately starts with people. Individual expertise, ownership and focus come together to create team outcomes. Those outcomes should then translate into fair opportunities and rewards for the people who made them possible. At CUBIG, meaningful contribution is recognized.
• Efficiency by design: We do not believe in being busy for the sake of being busy. We think structurally about how to work more efficiently from the beginning. We reduce unnecessary steps, avoid repetitive work where possible and focus on creating better outcomes with limited resources. Maintaining both speed and quality is central to how we work.
• Growing together: CUBIG is using technology to break down the barriers around enterprise data. The people who join us on this journey will work on complex problems, solve them through technology and continue to grow through the process. We are looking for people who enjoy technology, learn proactively and want to go further together.

Role Overview

This is a product-led B2B SaaS / Enterprise Sales role focused on selling CUBIG's core products, including DTS, LLM Capsule and SynTitan, to enterprise customers. You will be responsible for driving the full sales cycle, from identifying and qualifying leads to discovery, product demonstration, pilot design, commercial negotiation and contract closure. We are looking for someone who does not rely solely on personal networks, but can quickly validate product fit, create qualified opportunities and help build a repeatable sales pipeline and playbook.

Key Responsibilities

• Lead end-to-end enterprise sales
• Identify and qualify leads through both inbound and outbound channels
• Run discovery meetings, product demonstrations and customer workshops
• Design PoC or pilot structures where required
• Manage commercial discussions, negotiations and contract closure

• Manage a product-led sales pipeline
• Quickly assess customer fit for CUBIG's core products, including SynTitan, LLM Capsule and DTS
• Use CRM tools, especially HubSpot, to manage opportunities, conversion rates, priorities and next steps
• Build a repeatable and predictable enterprise sales process

• Navigate complex stakeholders and close deals
• Manage requirements from multiple enterprise stakeholders, including security, legal, procurement, IT and business teams
• Understand the customer's internal decision-making structure and design a clear path to closure
• Work closely with product, engineering and leadership teams to remove customer buying barriers

• Improve sales assets and build the playbook
• Share customer feedback with product, marketing and leadership teams to improve GTM strategy
• Refine sales messaging, demo narratives, customer materials and objection-handling assets
• Turn successful sales motions into repeatable playbooks

Requirements

• Candidates must have the legal right to work in the UK, either as a UK citizen, permanent resident, or valid work visa holder.
• 5+ years of B2B software sales experience, preferably in SaaS, cloud, data, AI or cybersecurity.
• Proven experience managing long-cycle enterprise sales and closing deals end-to-end with multiple stakeholders.
• Ability to structure customer business problems and clearly explain the value of technical products.
• Strong CRM discipline, with experience managing pipeline stages, priorities and next actions in a data-driven way.
• Ability to operate independently in an early-stage, fast-moving and ambiguous market environment.
• Experience generating new enterprise opportunities through outbound sales.

Please note: this role is not primarily suited to candidates whose experience is mainly in public-sector RFP management, SI project delivery or sales support.

Preferred Qualifications

• Experience selling deep-tech products in data, AI, cybersecurity or cloud infrastructure.
• Proven success converting PoCs or pilots into paid contracts.
• Experience opening new markets, building early sales motions or setting up an early-stage sales function.
• Experience with Account-based Sales, Account-based Marketing or targeted outbound sales.
• Experience working closely with product, marketing, engineering and leadership teams in a startup environment.
• Experience selling to global or international enterprise customers.