Role Description 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. Qualifications - Practical, commercially aware and technically fluent. - 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. - A genuine drive to lead AI transformation across a company. - Technical fluency to design solutions, challenge engineers and judge build vs. buy decisions. - A strong operations mindset: spot friction, prioritise ruthlessly, simplify, and turn ideas into solutions. - Comfort working with data, and clear communication across both technical and business audiences. - Readiness to own Revenue Operations (CRM, pipeline, forecasting). - Readiness to set direction and build a small team. Requirements - 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. - Hands-on with open-source agent platforms such as OpenClaw or Hermes. - 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. - Transparent compensation practices with salary range and key compensation details provided before the first conversation.

• Lead the development, implementation, and optimization of artificial intelligence solutions • Design, develop, and deploy AI and machine learning solutions to improve business operations and productivity • Implement and optimize Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and other AI platforms • Create and manage AI-powered workflows, automations, and integrations • Develop prompt engineering strategies to maximize AI performance and accuracy • Analyze business processes and identify opportunities for AI adoption and optimization • Collaborate with stakeholders to define AI requirements and project objectives • Build and maintain AI agents, chatbots, virtual assistants, and knowledge management systems • Monitor AI system performance and continuously improve model outputs and efficiency • Ensure compliance with data privacy, security, and ethical AI standards • Stay current with emerging AI technologies, tools, and industry trends

Role Description Join the team redefining how the world experiences design. This role is a 12-month engagement, working full-time hours. What you'd be doing in this role: - Labelling, annotating, and evaluating photos, graphics, videos, stickers, and designs in German — assessing linguistic quality, accuracy, and cultural appropriateness. - Evaluating AI-generated content against Canva's quality bar for German users, helping shape how AI experiences land in your language. - Building and contributing to German-specific datasets to support the internationalisation of Canva AI features. - Delivering labelled assets on time, meeting output targets across a variety of task types and labelling guidelines. - Reviewing and refining your own labels based on feedback to maintain accuracy and consistency. - Collaborating with in-house Data Labelling teams across the Philippines and EU for ongoing quality alignment. Qualifications - You're a native German speaker with strong written and spoken English — you can move fluidly between both languages with confidence. - You sweat the details — inconsistencies catch your eye and you hold yourself to a high quality bar even on repetitive tasks. - You're self-directed and can manage your own time across multiple concurrent projects without needing to be chased. - You're adaptable — you can pick up new guidelines quickly and apply them consistently across different task types. - You're genuinely curious about AI and excited to be part of building language experiences that work for German users. - You thrive in a fast-paced environment where the work evolves and no two weeks look exactly the same. About the team Canva's Localisation team sits within the International Supergroup and is responsible for bringing Canva's product and AI experiences to users in their language, across the world. With international users representing almost 60% of Canva's user base, localisation is a core strategic priority and ensuring our AI features meet the quality bar for LOTE markets is one of our biggest opportunities. We partner closely with our AI Research and AI Platform teams to deliver in-language AI evaluations, dataset creation, and quality assurance across Canva's pioneer markets. As Canva expands its AI capabilities globally, we are building dedicated in-language resourcing to support this growing body of work. Other stuff to know We make hiring decisions to engage contractors based on your experience, skills and passion. When you signify interest in the Project, please tell us the pronouns you use and any reasonable adjustments you may need during the contractor-accreditation interview process. Please note that contractor-accreditation meetings are conducted virtually. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above — we still want to hear from you! Check out lifeatcanva.com for more info.

• Build and run the Marketing AI enablement motion, including intake, prioritization support, office hours, documentation, training, and cross-functional coordination. • Help teams identify the highest-value AI use cases and shape them into clear briefs, success metrics, and implementation paths. • Partner with all Marketing functions, as well as Analytics, Legal, Procurement, and other cross-functional teams to reduce duplication, remove friction, and keep AI work moving. • Create and maintain a central view of Marketing AI initiatives, including tools, pilots, owners, status, and business impact. • Develop lightweight governance and operating norms that help teams move quickly while staying aligned on privacy, compliance, brand standards, and data use. • Lead education efforts across the org, including trainings, Lunch & Learns, playbooks, and reusable templates. • Support teams in turning pilot work into scalable workflows, repeatable systems, and durable documentation. • Surface insights, adoption trends, and case studies that show where AI is saving time, improving quality, or accelerating launch speed. • Identify overlap across workstreams and recommend when work should be centralized, standardized, or self-serve. • Help build an AI-confident Marketing org that can adopt new tools with clarity and consistency.