AI Lead: Strategy & Enablement

Your mission: Make norbloc’s teams faster, smarter, and more innovative through AI. Identify and implement the best AI tools across engineering, product, and commercial functions. Help shape how AI becomes part of our products, processes, and company culture. Assess with our clients and norbloc teams what is the long-term impact of AI on our platforms You’ll act as the AI champion and go-to expert — scouting new technologies, leading internal adoption, and ensuring that AI delivers tangible results for both our people and our platforms. What you’ll do: 1) Discover and Select the Best AI Tools Constantly scan the market for the latest AI advancements that can improve software development, QA, product management, and sales enablement. Evaluate, pilot, and recommend the most effective tools (e.g., GitHub Copilot, Cody, Perplexity, Jasper, etc.) for norbloc’s needs. Maintain an evolving “AI Toolkit” for the company and measure the ROI of each adoption. 2) Drive AI Adoption Across Teams Lead AI onboarding and training programs for technical and business teams. Work with the Head of Engineering and Lead Architect to integrate AI into the development lifecycle — from coding to testing to documentation. Track usage and impact metrics to ensure tools deliver measurable productivity gains. 3) Build AI into Our Products Collaborate with Product and Engineering to identify opportunities to embed AI into norbloc’s platforms (e.g., automated document extraction, intelligent workflows, anomaly detection). Partner with Sales and Marketing to enhance commercial processes with AI-driven insights and automation. Engage our clients to assess what are the prime areas for AI application 4) Be the AI Evangelist Inspire and empower teams through demos, workshops, and success stories. Create an internal “AI Playbook” and lead regular “AI Innovation Days.” Represent norbloc at AI and RegTech events, positioning us as a thought leader in applied AI. Guide our clients on what could be the next evolution of the AI facet of our products What we’re looking for: 5+ years of experience in a technology-driven environment (engineering, data science, product, or innovation). Hands-on experience implementing or managing AI tools and workflows in a SaaS or software company. Deep curiosity and understanding of LLM-based tools (including MCP and prompt engineering), AI-assisted coding, prompt engineering, and workflow automation. Strong project management and communication skills — able to drive change across departments and seniority levels. Comfortable with APIs, automation tools (Zapier, Make), and basic data integration concepts. Excellent written and spoken English; confident presenting to leadership and broader teams. Experience in RegTech, FinTech, or enterprise SaaS environments is a plus. What success looks like: 80%+ of technical team actively using AI tools in their daily work. Quantifiable gains in development speed, quality, and output. AI-enhanced product features launched within the first year. A visible cultural shift toward experimentation, curiosity, and automation

Desired Candidate Profile

What we re looking for: 5+ years of experience in a technology-driven environment (engineering, data science, product, or innovation). Hands-on experience implementing or managing AI tools and workflows in a SaaS or software company. Deep curiosity and understanding of LLM-based tools (including MCP and prompt engineering), AI-assisted coding, prompt engineering, and workflow automation. Strong project management and communication skills able to drive change across departments and seniority levels. Comfortable with APIs, automation tools (Zapier, Make), and basic data integration concepts. Excellent written and spoken English; confident presenting to leadership and broader teams. Experience in RegTech, FinTech, or enterprise SaaS environments is a plus. What success looks like: 80%+ of technical team actively using AI tools in their daily work. Quantifiable gains in development speed, quality, and output. AI-enhanced product features launched within the first year. A visible cultural shift toward experimentation, curiosity, and automation