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Delivery Manager (AI Research)

Leonardo.Ai

Full-time
Australia
project management
devops
machine learning
recruiting
agile
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

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.

About the job

Full-time
Australia
13 Applicants
Posted 7 months ago
project management
devops
machine learning
recruiting
agile
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Delivery Manager (AI Research)

Leonardo.Ai
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Management jobs

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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