VC AI & Automation Manager (Part-time / Freelance, with Full-time Opportunity) (m/f/d)

At Ananda Impact Ventures, we’re not just investors; we’re pioneers and innovators in the impact investment landscape across Europe. We channel capital into startups tackling critical social and environmental challenges, focusing on areas like climate change, biodiversity, health and education. With Europe’s longest track record in Tech Impact VC, we are now investing from our freshly closed €100M Fund V. Learn more about our mission and team at Ananda. We see considerable potential for artificial intelligence and automation to improve how venture capital firms operate, from identifying and evaluating investment opportunities to supporting portfolio companies and managing internal processes. Our objective is to systematically integrate these technologies into our organisation, developing connected systems and applications that enhance the quality, efficiency and scalability of our work. The Role: We are looking for an AI & Automation Manager to develop and implement AI-driven solutions and automation across Ananda. In this role, you will work closely with the whole team to identify opportunities for technological improvement, translate operational requirements into technical solutions and take responsibility for their implementation. The position combines software development, AI engineering, systems integration and process optimisation. It requires a practical approach to technology, an understanding of business requirements and the ability to independently manage technical projects from concept to deployment. You will have the opportunity to shape Ananda's internal technology infrastructure, establish scalable solutions and assume increasing responsibility as our AI and automation capabilities develop. Responsibilities: - Investment processes: Develop and implement AI-enabled solutions that improve the identification, evaluation and execution of investment opportunities. - Portfolio management: Build systems and applications that support the collection, analysis and use of portfolio information. - Process automation: Identify and implement opportunities to streamline workflows across investment activities, fund operations and internal administration. - Data and systems integration: Develop and maintain the technical infrastructure connecting internal applications, external platforms and relevant data sources. - AI applications: Design, develop and maintain AI-powered tools, agents and automated workflows to support the organisation's activities. - Technology development and adoption: Evaluate emerging technologies, identify relevant applications and support their effective integration into existing processes.