VP, AI Enablement

The AI Enablement team sits at the intersection of technology, product, and people — responsible for accelerating Trustly's capacity to build and scale AI-powered capabilities across the organization. The team partners deeply with Engineering, Product, Data, and Operations to identify high-leverage opportunities, drive adoption of AI tooling, and establish the frameworks that let Trustly move faster and smarter.

As VP of AI Enablement, you will define and lead Trustly's internal AI strategy — translating company priorities into a coherent roadmap for how we build, deploy, and scale AI across products and teams. Reporting to the CTO (or equivalent executive), you'll own everything from foundation model selection and agentic tooling adoption to the cultural and organizational change required to make AI a genuine competitive advantage for Trustly. This is a high-impact leadership role for someone who thinks in systems, moves with urgency, and has done this before.

• Define and own Trustly's AI enablement strategy, roadmap, and success metrics — ensuring alignment with engineering, product, and business leadership.

• Build and lead a high-performing team of AI engineers, platform engineers, and ML practitioners focused on internal tooling, developer productivity, and AI-assisted product development.

• Drive the evaluation, adoption, and integration of foundation models, LLM orchestration frameworks, and agentic systems into Trustly's core infrastructure and product surfaces.

• Establish governance and standards for responsible AI use — including model evaluation, safety, cost management, and quality frameworks — across the organization.

• Partner with Product and Engineering leaders to identify and prioritize AI-powered features and automations that deliver measurable business impact across payments, risk, and operations.

• Partner with leaders across every function — finance, HR, communications, legal, and operations — to bring agentic workflows and AI-native ways of operating to their teams in a structured, ROI-positive way, with clear prioritization and measurable productivity gains.

• Serve as a thought leader and internal evangelist for AI — running enablement programs, building internal communities of practice, and creating the conditions for teams to experiment and ship.

• 10+ years of experience in technology leadership, with at least 3 years directly leading AI/ML platform, infrastructure, or enablement teams at scale.

• Deep fluency in modern AI tooling — including LLMs, RAG architectures, agentic frameworks (e.g., LangChain, CrewAI), and model evaluation practices — with the technical credibility to engage senior engineers.

• Proven track record of driving AI adoption at a company level: building the programs, platforms, and partnerships that move AI from experimentation to production.

• Strong operator with experience building and growing teams, managing cross-functional stakeholders, and delivering results in fast-moving, high-ambiguity environments.

• Fintech or payments domain experience a strong plus; comfort operating in regulated, high-reliability environments required.

• Excellent communicator — equally fluent in executive strategy conversations and hands-on technical reviews.