AI Transformation Lead | Hamburg | Enterprise Software & Technology Private Equity | €5bn AUM
About the Role
AI Futures has been retained as the exclusive Search Partner by an established private equity investor specialising in enterprise software and technology businesses. With €5bn AUM and headquartered in Hamburg, the firm invests in software and technology companies across Europe, helping them scale, strengthen their operating models and accelerate value creation. It is now hiring an AI Transformation Lead to drive AI-enabled transformation across its portfolio and embed AI into how the firm itself operates.
This is a senior, hands-on appointment. You will own the AI transformation agenda across portfolio companies, working directly with CEOs, CTOs and leadership teams to identify opportunities, redesign business processes and deliver measurable improvements in productivity, profitability and growth. You will lead programmes that combine AI technology with changes to workflows, operating models and organisational capabilities, ensuring adoption translates into tangible commercial outcomes.
You will build and lead a team of AI transformation specialists, helping portfolio companies move from experimentation to scaled adoption. This will include improving software engineering productivity, accelerating AI-enabled product innovation and transforming go-to-market operations. Internally, you will also reshape how the firm assesses AI potential and oversees its holdings, making AI transformation a core component of its value creation strategy.
Responsibilities
Driving AI Transformation Across the Portfolio
- Own the AI transformation agenda across portfolio companies, identifying opportunities to improve EBITDA, productivity, revenue growth and enterprise value.
- Partner with CEOs, CTOs and leadership teams to prioritise AI initiatives, redesign workflows and deliver measurable business outcomes.
- Assess AI maturity and transformation potential during due diligence, translating findings into actionable roadmaps for the first 100 days of ownership.
- Drive AI adoption across software engineering, product development, sales, marketing and customer success, including opportunities for AI-enabled products and services.
- Establish KPIs to track adoption, productivity, revenue impact and realised value, reporting progress to the Partners and Investment Committee.
Building and Leading the AI Transformation Team
- Build and lead a multidisciplinary team spanning AI strategy, software engineering, product innovation and business transformation.
- Deploy specialists into portfolio companies to accelerate implementation, embed new ways of working and support sustainable AI adoption.
- Develop repeatable AI transformation playbooks and implementation frameworks that can be scaled across the portfolio.
- Establish partnerships with AI vendors, model providers and technology partners, ensuring portfolio companies have access to the right capabilities.
Embedding AI Transformation Across the Investment Firm
- Integrate AI assessment into deal sourcing, due diligence, portfolio management and exit planning, identifying opportunities and risks associated with AI-driven disruption.
- Work with investment teams to evaluate AI's impact on product differentiation, SaaS economics, competitive positioning and long-term growth.
- Identify opportunities to deploy AI across the firm's internal operations, including deal screening, research, due diligence and portfolio monitoring.
- Build consistent reporting frameworks to track AI adoption, transformation progress and value creation across the portfolio.
Skills & Experience
- Proven track record of delivering AI-enabled transformation programmes with measurable commercial results, including productivity gains, revenue growth or EBITDA improvement.
- Strong understanding of AI technologies, including LLMs, AI agents, coding assistants and intelligent automation, and how to apply them in business settings.
- Experience taking AI initiatives from strategy and business case development through to implementation, adoption and scale.
- Understanding of enterprise software and B2B SaaS business models, including recurring revenue, customer retention, product development and go-to-market strategy.
- Experience building and leading multidisciplinary teams across AI, technology, product and business transformation.
- Strong commercial acumen and the ability to quantify value creation opportunities and track realised returns.
- Credibility working with CEOs, CTOs, product leaders and boards to influence decisions and drive organisational change.
- Background in private equity, management consulting, enterprise software or technology leadership is a strong plus.
- A self-starter who thrives in a fast-moving, entrepreneurial environment and combines strategic thinking with hands-on execution.