Jobs at CUBE (cube.global)

Own agentic AI products end to end, from customer discovery and AI prototyping through delivery, launch, and iteration. Define product strategy, success metrics, and priorities; collaborate closely with engineering, design, commercial teams, and customers; coordinate go-to-market enablement; analyze usage data and feedback; and use AI and agentic tools to accelerate research, prototyping, and product development.

Drive new business sales for CUBE Intel’s mid-market SaaS solution. Responsibilities include prospecting, territory planning, managing full sales cycles, engaging senior compliance stakeholders, negotiating and closing deals, maintaining CRM discipline, forecasting pipeline, improving conversion rates, and contributing to go-to-market strategy. The role requires proven B2B SaaS sales experience, strong communication and negotiation skills, and the ability to manage complex, multi-stakeholder sales cycles.

Serve as the professional first point of contact for the London office while supporting reception, office operations, visitor management, supplies, onboarding, and events. Provide growing executive assistant support to C-Suite leaders through calendar and meeting coordination, travel arrangements, correspondence, expense processing, leadership meeting logistics, and confidential administrative projects.

Own the full customer relationship from initial engagement through implementation, delivery, and business-as-usual transition. Lead client meetings, workshops, requirements gathering, platform demonstrations, stakeholder management, issue resolution, and service delivery. Collaborate with legal, finance, technology, partners, and offshore teams while advocating for customer needs and influencing the product roadmap. Support UAT, continuous improvement, and regulatory technology implementations for financial services clients.

Lead quality assurance initiatives for regulatory data products, ensuring high accuracy, SLA adherence, compliance, and consistent QA standards. Develop QA strategies, mentor team members, manage resources, report quality metrics, mitigate data risks, coordinate automated data quality checks, and improve documentation and processes across international teams.

The Data Quality Analyst profiles data, creates quality rules, monitors dashboards, investigates anomalies, identifies root causes, and performs controlled data corrections. The role improves SSIS/ETL ingestion pipelines, validates production data, documents governance and remediation procedures, and collaborates with technology, product, compliance, and business teams. It also supports AI-enabled monitoring and automation to improve data accuracy, reduce recurring defects, strengthen audit outcomes, and enhance customer-facing services.

Perform quality assurance reviews of regulatory data, meeting accuracy and SLA targets. Analyze datasets to identify errors, inconsistencies, and anomalies; collaborate with Data Quality and governance teams to implement controls, validations, and automated checks. Identify recurring issues, recommend process improvements, support automation initiatives, and improve QA documentation while ensuring compliance with data management policies and regulations.

Own the end-to-end production lifecycle of machine learning models and LLM integrations. Build Azure-based ML pipelines, deployment and serving infrastructure, monitoring, drift detection, rollback systems, experiment tracking, and model governance. Manage LLM providers, gateways, prompt versioning, observability, token usage, and costs. Partner with data scientists and engineers to establish MLOps practices, CI/CD, infrastructure as code, automated testing, reliability, and operational efficiency.

Converts complex PDF regulatory documents, including scanned and multilingual content, into accurate, accessible HTML. Responsibilities include handling tables, images, lists, footnotes, OCR issues, coding tasks in HTML, CSS, C#, .NET, and JavaScript, debugging, testing, quality assurance, documentation, and code reviews. The role also supports task management, collaboration with QA and project teams, and adoption of AI-driven tools to improve conversion efficiency and output quality.

Design and build scalable, production-grade agentic AI systems using LLMs to reason over data, orchestrate workflows, use tools, and drive decisions. The role combines backend engineering, data systems, NLP, prompt engineering, RAG, LLM evaluation, and agent orchestration. Responsibilities include translating AI research into enterprise SaaS products, deploying applications to production, experimenting rapidly, and collaborating with LLM engineers, software engineers, and data scientists in a hybrid Berlin AI lab.

Serve as the single client-facing lead owning end-to-end implementation, stakeholder management, and BAU transition for RegTech SaaS clients. Run workshops, manage project delivery, collaborate with legal/finance/technology teams, perform UAT, and advocate client needs to influence product roadmap while ensuring service quality and retention.

The Senior Customer Success Manager will enhance client relationships, drive product adoption, manage renewals, and ensure customer satisfaction for enterprise financial services clients.

Senior commercial leader responsible for winning new enterprise logos (£200K+ ACV), building a repeatable growth-segment sales motion, driving net revenue retention and expansion, maintaining accurate Salesforce pipeline and forecasts, and providing market intelligence to shape go-to-market and product decisions across APAC & Japan.

Lead commercial outcomes for CUBE in the US and Eastern Canada, driving new logo acquisition and enterprise expansion. Own NRR targets, manage complex multi-stakeholder sales cycles, negotiate enterprise renewals/expansions, recruit and develop a regional sales team, maintain Salesforce hygiene and forecasting, and collaborate with Customer Success, Solutions Engineering, Product, and Marketing to grow account penetration and market presence.

Lead Cube's global media relations across the UK, US and Europe. Build journalist relationships, create proactive media opportunities, handle inbound press, brief/manage external PR agencies, develop messaging and spokespeople, draft press materials, monitor coverage and reputational risks, and align PR with product and marketing priorities.

Manage day-to-day Salesforce administration, maintain pipeline and forecast reports, support quote/configuration and contract data, optimize the RevOps tool stack, identify and implement scalable sales process improvements, partner cross-functionally, and support onboarding and operational documentation.