Director of AI Operations

About the role

Leadfeeder turns B2B websites into lead generation engines. Every day, potential buyers visit your website and leave without filling out a form. Leadfeeder reveals which companies are behind that traffic, shows what they care about, and helps teams act while interest is high. By connecting website behavior with company data, intent signals, and automated workflows, Leadfeeder helps marketing and sales teams prioritize the right accounts and turn anonymous traffic into qualified pipeline. We're a remote-first, international team building the next generation of lead generation technology for B2B marketers. Join us and help redefine how B2B companies generate leads from the signals already happening on their website. Position Overview We're building a new AI Operations function, and this is the role that leads it, reporting to the Chief AI Officer. Your mandate is to drive AI adoption across the company, starting where the value is highest: our go-to-market functions, Sales, Marketing and Customer Success, then expanding across the rest of the business over time. Your core job is delivery, finding where AI can remove friction and leading a technical team to build and ship solutions, while partnering with Legal, Security, IT and Finance on the governance and economics around them. You'll embed directly with teams, ship working solutions in days rather than quarters, and turn one-off wins into reusable assets the whole company can build on. You are not walking into a blank slate. Every Leadfeeder team member is already on Claude Desktop, and AI adoption is actively underway across the company. The Director comes in to accelerate and structure what has already begun with a team that is engaged, tooled up, and ready to move faster. You'll directly manage a team of 7: a BizOps & Data Warehouse team (5 people) with an Engineering Manager reporting to you, and a Revenue Operations team (2 people). The EM handles day-to-day technical leadership of the engineering team; you set the direction, prioritise the roadmap, and ensure the team is working on the highest-impact problems. Revenue Operations also sits under this role, the systems and data behind our revenue engine, and it's one of the first places to put AI to work. The broader mandate, though, is AI-led operational transformation across the company. This role requires someone who is practical, commercially aware and technically fluent. You do not need to write production code, but you do need to be confident working with engineers, data teams and business leaders to turn operational pain points into well-scoped, AI-enabled solutions that are adopted and trusted. What Success Looks Like Success in this role isn't about launching AI experiments. It's about driving adoption of AI workflows that are trusted and actually improve how the business operates. The right candidate will bring structure to AI adoption, identify high-value opportunities, and deliver practical solutions that lift productivity, accuracy and decision-making across our go-to-market teams first, then the wider business. You move fast and pragmatically, shipping in days rather than quarters and iterating with the people who use what you build. Responsibilities AI Operations & Transformation Define and own the AI roadmap, starting with go-to-market and expanding across the business, from use-case discovery and prioritisation through to delivery, adoption and measurement. Identify where AI, automation and workflow redesign can remove friction, in go-to-market first and then the wider business. Act as the connective tissue between business stakeholders and technical teams, translating operational challenges into concrete, prioritised delivery work. Build a clear intake, prioritisation and delivery model for AI use cases, ensuring the team focuses on high-impact problems rather than isolated experiments. Evaluate build vs. buy decisions across AI tooling, workflow automation, business systems and internal productivity tools. Champion practical, responsible AI adoption across the company, ensuring what gets built is useful, trusted and embedded into how people work. Partner with Legal, Security, IT, Data Warehouse and Analytics teams to ensure AI adoption is scalable, compliant and aligned with internal governance. Help teams move from AI experimentation to repeatable workflows that improve productivity, quality, accuracy and decision-making. Technical & Delivery Leadership Lead and develop your Engineering Manager, who owns day-to-day technical execution for the technical delivery team. Set technical direction and priorities alongside the EM by challenging scoping, reviewing tradeoffs, and removing blockers. Provide enough technical fluency to challenge assumptions, evaluate solutions, and ensure the right problems are being solved in the right way. Work closely with Data Warehouse and Analytics teams to ensure AI workflows are grounded in reliable data and aligned with existing data architecture. Foste

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