Leonardo.Ai seeks a Delivery Manager to join our expanding global AI Research team.
We're advancing our generative AI platform to empower millions, regardless of expertise, with intuitive tools for creating high-quality images and videos. Now part of the Canva family, we're ready to build a world-class R&D team to seamlessly integrate AI products, tools, and features, making creativity limitless for nearly a quarter of a billion users.
The Role The AI Delivery Manager will play a crucial role in supporting our AI Research team in delivering projects and experiments. This role will create transparency, provide regular progress updates, and help streamline the project lifecycle to ensure initiatives are delivered on time and meet quality standards. You will leverage your expertise in project delivery, along with your understanding of AI and machine learning, to bridge the gap between research objectives and project execution.
Key Responsibilities: Project Delivery and Coordination: Collaborate with AI Researchers to set project timelines and milestones, ensuring clarity and alignment across the team.
Act as the primary point of contact for progress updates, tracking, and issue resolution within AI research projects.
Facilitate planning and retrospective sessions to drive continuous improvement and optimise project workflows.
Transparency and Reporting: Design and implement reporting mechanisms to maintain transparency on project status, risks, and dependencies.
Provide regular updates to leadership and key stakeholders, ensuring a comprehensive view of AI initiatives.
Process Optimisation: Identify opportunities to streamline delivery workflows, reducing bottlenecks and enhancing productivity across projects.
Work closely with DevOps, Data, and Tooling teams to support process improvements, particularly in areas impacting AI research.
Stakeholder Collaboration: Liaise with cross-functional teams such as Product and Engineering to align research objectives with overall company goals.
Work alongside AI Researchers to establish clear documentation standards and practices that aid in knowledge sharing.
Required Skills: Proven experience in project delivery roles such as Iteration Manager, Project Manager, or Product Owner.
Familiarity with AI, machine learning concepts, or experience working in an AI R&D environment.
Proficiency in project management tools and agile methodologies.
Excellent communication skills with an ability to facilitate collaboration across geographically dispersed teams.
A skilled stakeholder manager with experience working with senior leaders.
Additional Skills: Background in reporting tools and analytics for progress tracking and issue management.
Experience optimising workflows and understanding research-based project requirements.
Highly adaptable and capable of quickly learning new tools and processes as needed.
Our Culture: Inclusive Culture: We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and empowered.
Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices.
Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals.
Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact.
Leonardo.Ai Benefits: Impact the Future of AI
Competitive salary and equity
A day off for your birthday
Remote and hybrid work options
20 days Annual Leave
Six weeks working abroad
Four weeks of gender-neutral paid parental leave
Wellness budget
Home office budget
Everyday discounts with Flare
Training and conference expenses
Fun and engaging company events, both virtual and in-person
Why Leonardo.Ai?Shape the Future of AI: Join us in revolutionising content creation and build a platform at the forefront of generative AI.
Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle.
Benefits: We offer a generous package including paid parental leave and remote working from abroad.
Diversity and Inclusion: We intentionally seek people from a variety of backgrounds to join our team.
Typical Interview ProcessWhile we love technology, rest assured that our interview process is all human. A Talent team member will review your application, and we'll contact you either way to let you know the outcome.
Round 1 - Meet Your Recruiter: Our Talent team will reach out and arrange a 30-minute video call where you'll cover your experience, skills, and career motivations.
Round 2 - Craft Interview: You'll meet some team members to discuss the technical task in more depth.
Round 3 - Technical Task: If you're applying for a technical role, you may be given a short take-home task.
Round 4 - Values interview: You'll be able to meet with the Department Head for a short, informal conversation.
Important InformationIf there are any adjustments we can make that would make you more comfortable at any point in the interview process, please don't hesitate to let us know.
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