Director of AI Operations

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Leadfeeder

WebsiteLinkedInAll Job Openings

51 - 200 employees

💰 Series A on 2019-04

Leadfeeder is a website visitor analytics software that shows you the companies visiting your website, how they got there, and what pages they clicked. Think of us like your lead generation, account-based marketing, and sales intelligence tool all rolled into one, like a burrito. Simply install the Leadfeeder Tracker script in less than 5 minutes! The Leadfeeder Tracker will reveal up to 30% more companies in close to real-time (fresh leads every hour). You can try Leadfeeder Premium free for 14 days (no credit card required). Plus, we integrate with multiple tools: Google AnalyticsMailChimp PipedriveSalesforceHubSpotAnd, many more! We are an international startup headquartered in Helsinki, Finland.

📋 Description

• 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. • 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. • Foster a culture of experimentation, pragmatic delivery, continuous improvement and measurable business impact. • Ensure AI and automation initiatives are delivered with appropriate documentation, ownership, adoption plans and feedback loops. • Own Revenue Operations: the systems and data behind the revenue engine (CRM, pipeline, lead routing and forecasting). • Make RevOps one of the first proving grounds for AI: improve accuracy, speed and rep productivity, and build it. • Drive operational change that sticks, ensuring teams do not just receive new tools but adopt better ways of working. • Build trust with senior stakeholders by clearly communicating priorities, trade-offs, risks and expected outcomes. • Create practical enablement, guidance and feedback mechanisms to support AI adoption across different functions. • Measure adoption and impact, using feedback and business outcomes to refine the AI Operations roadmap. • Help the business distinguish between genuine AI opportunities and low-value experimentation or hype.

🎯 Requirements

• Deep hands-on experience using AI and building AI-enabled workflows, agents or internal tools that solve real problems. • Highly proficient with agentic coding tools such as Claude Code or Codex, and ready to go deep on Claude Code as our primary stack. You build with agentic tools, you don't just chat with them. • A genuine drive to lead AI transformation across a company, even where the playbook doesn't fully exist yet. • Technical fluency to design solutions, challenge engineers and judge build vs. buy decisions, without needing to write production code. • A strong operations mindset: spot friction, prioritise ruthlessly, simplify, and turn ideas into solutions people actually adopt. • Comfort working with data, and clear communication across both technical and business audiences. • Ready to own Revenue Operations (CRM, pipeline, forecasting), or to get up to speed on it quickly. It's where many of the first use cases will live. • Readiness to set direction and build a small team, plus a pragmatic approach to responsible AI: privacy, security, and a human in the loop where it matters. • Nice to Have • Experience building or leading an internal AI enablement, AI operations or automation function. • Salesforce experience, particularly around CRM architecture, reporting, routing and revenue process design. • Experience with tools such as Claude, ChatGPT, Codex, Zapier, Make, n8n, Retool, Clay, Salesforce automation, BI tools or internal workflow platforms. • A personal knowledge or "second brain" setup you actually run day to day, for example in Obsidian. • Hands-on with open-source agent platforms such as OpenClaw or Hermes, and a habit of trying whatever is newest in the agentic space. • Experience working with distributed or remote-first teams. • Experience partnering with Legal, Security or Compliance teams on responsible AI or data governance. • Previous experience in a scale-up environment where processes, systems and operating models are still evolving.

🏖️ Benefits

• The chance to work with a very knowledgeable, high-achieving and fun team • An international, diverse, dynamic and committed work environment • The opportunity to work remotely, with a flexible work schedule • Mental Health support with Auntie • Personal budget for home office equipment • Personal development plans as standard, allowing you to develop the skills you think are most important to succeed in your role, as well as regular 1-1s and group training