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Delivery Manager (AI Research)

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. At Leonardo AI, your unique perspectives and experiences are welcomed and essential to our success.

  • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility to work remotely or from our vibrant offices. We have employees all over Australia, ensuring you can thrive personally and professionally.

  • Empowering Growth: Your development is our priority. We offer continuous learning opportunities and career growth tailored to your goals. You’ll be encouraged to grow and excel in your career at Leonardo AI.

  • Impactful Work: Join us in shaping the future of AI. You'll work on innovative projects that have a meaningful impact, and your contributions will help drive advancements in AI creativity.

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 

  • Novated vehicle leasing 

  • Training and conference expenses 

  • Friday meals in the office in Sydney

  • 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, in an award winning culture.

  • Hybrid and Remote Options: Flexibility is key. Choose a work arrangement that suits your lifestyle and allows you to do your best work. Our hybrid team members meet in the Sydney office 1-2 times per week, with free lunch on Fridays.

  • Benefits: We offer a generous package including paid parental leave, a generous home office and wellness budget, and remote working from abroad.

  • Diversity and Inclusion: We intentionally seek people from a variety of backgrounds, experiences, and perspectives to join our team. We wholeheartedly believe in creating an inclusive environment where every voice we hear contributes to our success.

Typical Interview Process

While 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. Here's what you can expect.

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. You'll also get essential context about the role, the team, and how you can contribute towards our goals.

Round 2 - Craft Interview:

  • You'll meet some team members to discuss the technical task in more depth, work through some technical questions related to your expertise and cover past projects, experience and career aspirations.

Round 3 - Technical Task:

  • If you're applying for a technical role, you may be given a short take-home task to assess your skills and approach to problem-solving. This could be a real-life business scenario to unpack, a presentation, a test or a collaboration exercise. (Please note, depending on the role, the order of rounds 2 & 3 are interchangeable)

Round 4 - Values interview:

  • You'll be able to meet with the Department Head for a short, informal conversation to understand your potential impact, the growth area we can support, and how aligned you are with our values and culture.

Important Information

If 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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Average salary estimate

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$100000K
$130000K

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What You Should Know About Delivery Manager (AI Research), Leonardo.Ai

Are you ready to take your career to the next level as a Delivery Manager on the cutting-edge AI Research team at Leonardo.Ai? Based in vibrant Sydney, you'll play a pivotal role in driving project delivery for our innovative generative AI platform. Our mission is to empower millions worldwide with intuitive tools for crafting high-quality images and videos. As a part of the Canva family, we are on an exciting journey to grow our world-class R&D team, and this is where you come in! In this role, you will collaborate closely with AI Researchers to establish clear project timelines and milestones, ensuring everyone is aligned and on track. Your knack for communication will shine as you act as the primary point of contact, providing regular progress updates and facilitating planning sessions to foster continuous improvement. We value transparency and will rely on you to implement reporting mechanisms that keep everyone in the loop about project statuses and risks. Additionally, you'll have the opportunity to work with cross-functional teams, aligning research objectives with broader company goals. If you possess a solid project delivery background combined with an understanding of AI and machine learning, this could be the perfect match for you! You will thrive in our inclusive culture that celebrates diversity, offering flexibility to work from home or our dynamic office environment. Join us in shaping the future of AI at Leonardo.Ai!

Frequently Asked Questions (FAQs) for Delivery Manager (AI Research) Role at Leonardo.Ai
What does a Delivery Manager at Leonardo.Ai in Sydney do?

As a Delivery Manager at Leonardo.Ai in Sydney, you'll oversee project delivery for our AI Research initiatives. Your role involves collaborating with researchers, setting timelines, providing regular progress updates, and driving workflow improvements to ensure projects meet quality standards and are completed on time.

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What are the key responsibilities of a Delivery Manager at Leonardo.Ai?

Key responsibilities of the Delivery Manager at Leonardo.Ai include coordinating project delivery, maintaining transparency through reporting, optimizing workflows, collaborating with cross-functional teams, and ensuring alignment between AI research objectives and company goals.

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What qualifications are needed for the Delivery Manager position at Leonardo.Ai?

To qualify for the Delivery Manager position at Leonardo.Ai, candidates should have proven project delivery experience in roles such as Project Manager or Product Owner, familiarity with AI and machine learning concepts, and proficiency in project management tools and agile methodologies.

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What is the company culture like at Leonardo.Ai in Sydney?

Leonardo.Ai fosters an inclusive culture that values diversity and empowers every employee. We also emphasize work-life balance through flexible work options, along with continuous learning opportunities and meaningful projects that impact the future of AI.

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What benefits does Leonardo.Ai offer to employees?

Employees at Leonardo.Ai enjoy numerous benefits including competitive salaries, equity options, flexible work arrangements, generous leave policies, wellness budgets, and opportunities for career development and growth in the field of AI.

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How does the interview process for the Delivery Manager role at Leonardo.Ai work?

The interview process for the Delivery Manager role at Leonardo.Ai involves several rounds including a recruiter call, a technical interview with team members, a potential technical task, and a values interview with the Department Head. We ensure a supportive and friendly experience throughout.

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Can I work remotely as a Delivery Manager at Leonardo.Ai?

Yes! As a Delivery Manager at Leonardo.Ai, you can enjoy hybrid and remote work options. Our flexibility allows you to work from home or our Sydney office, meeting with colleagues 1-2 times per week while enjoying free lunches on Fridays.

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Common Interview Questions for Delivery Manager (AI Research)
How do you prioritize tasks in a project delivery role?

To prioritize tasks as a Delivery Manager, I assess project deadlines, stakeholder urgency, and resource availability. I create a structured plan, often using project management tools, and consult with team members to ensure that the most critical tasks are addressed first.

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Can you describe your experience with agile methodologies?

My experience with agile methodologies involves leading scrum meetings, managing backlogs, and facilitating sprint reviews. I focus on promoting collaboration within the team, adapting to changing project needs, and ensuring that everyone is aligned on goals and timelines.

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What strategies do you use to track project progress?

To track project progress, I implement reporting mechanisms that provide insights into project status, risk assessments, and milestones achieved. I prefer using dashboards and regular check-ins with team members to ensure we stay on course.

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How do you handle team conflicts during a project?

When faced with team conflicts, I address them proactively by creating an open environment for discussion. I facilitate conversations to understand different perspectives and encourage collaboration to find a solution that aligns with project goals.

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How do you ensure transparency in project management?

Ensuring transparency in project management involves regular communication with stakeholders through status updates and progress reports. I also encourage team members to share their insights and challenges openly so we can work collaboratively on solutions.

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What is your approach to stakeholder management?

My approach to stakeholder management is centered on building strong relationships and understanding their needs and concerns. I actively communicate project developments, gathering feedback to ensure their expectations are met throughout the project lifecycle.

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Can you share an example of a successful project you delivered?

A successful project I managed involved the development of a new feature in collaboration with cross-functional teams. By setting clear milestones, facilitating regular check-ins, and implementing Agile practices, we delivered the project ahead of schedule with positive feedback from stakeholders.

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How do you adapt to changes in project requirements?

I adapt to changes in project requirements by maintaining flexibility in project plans. I encourage open communication among team members to identify changes quickly and then reassess priorities and timelines to pivot effectively.

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What tools do you use for project management?

I utilize various project management tools like Jira, Trello, or Microsoft Project, depending on the team's needs. These help in visualizing tasks, managing backlogs, and ensuring accountability across all stages of project delivery.

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How do you promote a culture of continuous improvement?

Promoting a culture of continuous improvement involves seeking feedback after each project cycle, conducting retrospectives, and implementing actionable insights into future projects. I encourage team members to discuss what worked well and what could be improved to drive enhancements continually.

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Full-time, hybrid
DATE POSTED
November 27, 2024

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