Role Description Jala University is an innovative initiative designed to narrow the gap between academia and industry by providing a practical education that is tailored to meet the demands of the industry with a unique educational model embracing and unifying both academy experts with industry experts. We seek to transform the economies of underprivileged regions through the software industry, creating professional opportunities with an impact on the lives of people, communities and regions, thinking of leaving a legacy for future generations. Qualifications - Certification in Teaching English as a Second/Foreign Language of at least 120 hours (e.g., TESOL, CELTA, TEFL certifications). - Minimum 4 to 5 years of direct experience teaching ESL/EFL classes. - Preferably 3 to 5 years teaching experience in the computer science engineering field. - Experience working with adult students or college-level students. - Strong interpersonal and communication skills. - Ability to work collaboratively with faculty, academic staff, and students. - Knowledge of current trends in best practices in the field of ESL. - Experience required in online teaching. - Experience using Canvas or another LMS. - Fluent in English and Spanish. Requirements - Remote work modality (home office). Benefits - Joining a dynamic and growing organization with international reach.

Role Description We are seeking an experienced AI Lead Engineer to drive the design, development, and implementation of AI-powered solutions across our internal and clients products. This role combines deep technical expertise in artificial intelligence with strong architectural thinking and leadership capabilities. The ideal candidate will be responsible for translating business problems into scalable AI systems, working closely with clients and internal teams, and gradually evolving into a broader technical leadership role overseeing full development teams. Key Responsibilities - AI Solution Design & Implementation - Design and implement AI-driven systems - Define AI architecture, model selection, and data pipelines - Integrate AI services into existing platforms and workflows - Ensure performance, scalability, and reliability of AI systems - Discovery, Estimation & Pre-sales - Participate in discovery sessions to identify AI opportunities and define solutions - Estimate effort, complexity, and feasibility of AI-based features - Translate business requirements into AI/ML use cases and technical approaches - Support sales and pre-sales activities with technical expertise and solution proposals - Client Communication - Act as the main technical point of contact for AI-related topics - Explain AI concepts and limitations clearly to non-technical stakeholders - Define expectations around accuracy, performance, and model behavior - Identify risks (data quality, bias, model drift) and propose mitigation strategies - Team Leadership & Development - Lead and mentor engineers working on AI and data-driven features - Establish best practices for AI development, experimentation, and deployment - Collaborate with product managers, designers, and backend/frontend teams - Participate in hiring, interviews, and team scaling - Technical Oversight & Governance - Define standards for AI architecture, model lifecycle, and data handling - Oversee model training, evaluation, deployment, and monitoring - Ensure proper versioning, testing, and reproducibility of AI systems - Stay up to date with emerging AI technologies, frameworks, and industry trends - Evolution into Broader Technical Leadership - Gradually take ownership over wider system architecture beyond AI - Contribute to full-stack and platform-level technical decisions - Support and eventually lead cross-functional development teams - Align AI strategy with overall engineering and business goals Qualifications - Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field - 6+ years of software engineering experience - 3+ years of hands-on experience in AI/ML development - Strong understanding of: - Machine learning fundamentals - Model evaluation and metrics - Data pipelines and preprocessing - Experience with cloud environments (AWS, Azure, or GCP) - Proven experience delivering production-grade AI systems Preferred Skills - Experience with: - LLMs (OpenAI, Claude, open-source models) - Computer vision (image classification, object detection) - MLOps tools and pipelines - Knowledge of vector databases, embeddings, and retrieval systems - Familiarity with Python AI ecosystem (TensorFlow, PyTorch, etc.) - Strong architectural and problem-solving mindset - Ability to balance innovation with practical, business-driven solutions What We Offer - Competitive compensation and performance-based bonuses - Opportunity to build and shape AI capabilities within the company - Clear path toward Technical Director / Head of Engineering roles - Work on high-impact projects across industries including AI, fintech, automotive, and digital platforms - Opportunity to represent the company at global tech and AI conferences - Collaborative and fast-growing environment focused on innovation

Role Description As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligence capabilities across the entire Scalable organization. You will lead the strategy to move from siloed AI solutions to a unified, compliant, and robust internal "AI as a Platform" offering. You will work closely with a dedicated cross-functional team of Data Scientists, AI Engineers, and Software Engineers, acting as the key bridge between the technical development, internal domain teams, and regulatory stakeholders to ensure AI is integrated and leveraged effectively, securely, and ethically. Key Responsibilities - Platform Strategy & Ownership: Define, prioritize, and own the strategic roadmap for our internal "AI as a Platform", ensuring it provides robust, scalable, and easy-to-integrate services for all internal domain and product teams. - Identify Opportunities: Work in close collaboration with all internal domain and product teams to identify opportunities to employ AI capabilities, focusing on: - Client Experience: Enhancing core client-facing product functionality through predictive modeling and personalization. - Operational Efficiency: Improving internal system scalability, fraud detection, and overall operational performance. - Use Case Implementation: Drive the implementation of strategic AI use cases across the company, ensuring efficient implementation by aligning timelines across all teams involved. - AI Compliance & Governance: Act as the key product driver for AI compliance, regulatory adherence, and ethical usage. - Go-to-Market (GTM) for AI Features: Support the planning, launch, and post-launch monitoring of new client-facing AI features and capabilities. - Team Collaboration & Product Leadership: Lead the product development process for the cross-functional AI Platform team, managing agile processes and translating high-level business goals into actionable user stories. - Data-Driven Vision: Leverage data analysis, user needs, market trends, and insights to continuously inform and evolve the AI Platform vision and product strategy. Qualifications - Passion for digital products and a strong desire to help users improve their financial well-being through clear, trusted, and AI-enhanced experiences. - Proven experience as a Product Manager, working on backend services, APIs, or AI-powered products. - High-level understanding of modern AI concepts such as LLMs, prompt design, agent architectures, and evaluation approaches. - Ability to understand technical concepts and work effectively with engineering and Data Science teams; a technical degree is a strong plus. - Good understanding of how AI-powered services are built and evaluated, and experience working effectively with Data Scientists and AI/ML Engineers. - Demonstrated understanding of the AI regulatory landscape, compliance requirements, and data governance principles. - Exceptional analytical and strategic thinking, with the ability to leverage quantitative and qualitative data to drive complex platform decisions. - A hands-on approach and the ability to take ownership of the product development process from ideation to scalable launch. - Excellent English communication skills, with the ability to convey complex topics clearly and concisely (German is a plus). Benefits - Be part of one of the fastest-growing and most visible Fintech startups in Europe. - Work with an international, diverse, inclusive, and ever-growing team. - Be productive with the latest hardware and tools. - Learn and grow by joining in-house knowledge sharing or career development sessions. - Learn and experience German culture first hand by joining free German language classes. - International relocation support is provided if required. - Opportunity to work from abroad. - Benefit from an attractive compensation package and from the company pension scheme. - Monthly contribution of 50% for the ‘Deutschland Jobticket’. - Complimentary subscription of Scalable Capital's PRIME+ Broker. - Enjoy flexible and discounted sports activities with Urban Sports Club.

• Own the AI layer of the product • Expand system capabilities by adding new use cases and data sources • Improve multi-step workflows and system interaction • Enable external systems to query the platform via APIs • Refactor existing systems as needed