Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Delivery Manager (AI Research) image - Rise Careers
Job details

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.

Leonardo.Ai Glassdoor Company Review
3.0 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star iconGlassdoor star icon
Leonardo.Ai DE&I Review
3.0 Glassdoor star iconGlassdoor star iconGlassdoor star icon Glassdoor star iconGlassdoor star icon
CEO of Leonardo.Ai
Leonardo.Ai CEO photo
Unknown name
Approve of CEO

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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

At Leonardo.Ai, we are on the lookout for a talented Delivery Manager to join our dynamic AI Research team in Sydney. Your mission, should you choose to accept, revolves around delivering exciting projects that push the boundaries of our generative AI platform. As part of the Canva family, we’re revolutionizing creativity for millions worldwide with tools that make creating stunning images and videos easier than ever, regardless of expertise. In this pivotal role, you will collaborate with brilliant AI researchers to streamline project lifecycles, ensuring everything from timelines to reporting is transparent and efficient. Your knack for project delivery, combined with your understanding of AI and machine learning, will make you an invaluable bridge between innovation and execution. You’ll drive progress by facilitating planning sessions, provide updates to stakeholders, and identify areas for workflow improvement. At Leonardo.Ai, we foster a culture of inclusivity and growth, with flexible work arrangements to fit your lifestyle. Join us, and together, we can shape the future of AI while empowering creativity on a massive scale!

Frequently Asked Questions (FAQs) for Delivery Manager (AI Research) Role at Leonardo.Ai
What is the role of a Delivery Manager at Leonardo.Ai?

The Delivery Manager at Leonardo.Ai plays a key role in overseeing project execution within the AI Research team, ensuring projects are delivered on time and meet established quality standards. This involves collaborating closely with team members, tracking progress, and maintaining clear communication with stakeholders.

Join Rise to see the full answer
What qualifications are needed for the Delivery Manager position at Leonardo.Ai?

To thrive as a Delivery Manager at Leonardo.Ai, candidates should have proven experience in project delivery roles, familiarity with AI and machine learning concepts, and be well-versed in agile methodologies and project management tools.

Join Rise to see the full answer
How does the Delivery Manager contribute to AI Research projects at Leonardo.Ai?

The Delivery Manager at Leonardo.Ai facilitates communication and coordination among teams, sets timelines, and helps resolve issues that may impede project progress. Their leadership ensures AI research projects stay aligned with organizational objectives.

Join Rise to see the full answer
What is the work culture like for the Delivery Manager role at Leonardo.Ai?

Leonardo.Ai prides itself on fostering an inclusive and flexible work culture. As a Delivery Manager, you will enjoy a balance of remote work and in-office collaboration, while also being part of an environment that values diversity and promotes personal and professional growth.

Join Rise to see the full answer
What are the main responsibilities of a Delivery Manager at Leonardo.Ai?

Main responsibilities include project delivery coordination, creating transparency through regular reporting, facilitating planning and retrospectives, and collaborating with cross-functional teams to ensure AI Research initiatives are delivered efficiently.

Join Rise to see the full answer
What benefits does Leonardo.Ai offer to a Delivery Manager?

Leonardo.Ai provides a competitive salary, equity, generous leave policies, wellness budgets, hybrid work options, and opportunities for continuous learning, all aimed at fostering both personal and professional success.

Join Rise to see the full answer
What is the interview process for a Delivery Manager at Leonardo.Ai?

The interview process involves multiple rounds, including an initial chat with a recruiter, deep dives with team members about past projects, possibly a technical task, and a final values interview with leadership to assess alignment with company culture.

Join Rise to see the full answer
Common Interview Questions for Delivery Manager (AI Research)
Can you describe your experience in managing AI or tech projects as a Delivery Manager?

In answering this question, highlight specific projects you've managed in AI or technology, detailing your role, the challenges faced, and the outcomes achieved. Focus on how you applied your project management skills in a tech environment.

Join Rise to see the full answer
How do you ensure transparency and communication in your projects?

Discuss your strategies for maintaining transparency, such as regular updates, utilizing reporting tools, and setting clear expectations with stakeholders. Provide examples of how these practices have facilitated successful project delivery in your past roles.

Join Rise to see the full answer
What methodologies do you prefer for project management, and why?

Share your preferred methodologies, like Agile or Scrum, and explain their relevance to the types of projects you've worked on. Offer examples of how these methodologies have contributed to project success and team cohesion.

Join Rise to see the full answer
How do you handle setbacks or challenges in AI research projects?

Illustrate your problem-solving skills by describing a specific situation where you faced a setback. Explain how you assessed the issue, communicated with your team, and implemented a solution to keep the project on track.

Join Rise to see the full answer
What strategies do you use to coordinate with remote teams?

Discuss methods you implement for effective coordination, such as video conferencing, collaborative tools, and setting clear goals for team check-ins. Highlight your ability to foster collaboration regardless of geographic barriers.

Join Rise to see the full answer
Describe a successful project you managed and what made it successful.

Choose a project where your leadership was key to its success. Detail your role, the objectives, and the outcome, and highlight the collaboration and communication strategies you implemented to ensure all team members were aligned.

Join Rise to see the full answer
How do you incorporate feedback into project delivery at Leonardo.Ai?

Explain your approach to gathering and implementing feedback throughout a project’s lifecycle. Provide examples of adjustments made based on team feedback and how this has improved project outcomes.

Join Rise to see the full answer
How do you prioritize tasks and manage timelines effectively?

Discuss your prioritization strategies, perhaps using methods like Kanban or prioritizing based on project impact. Provide an example of a project where these strategies led to timely delivery and successful results.

Join Rise to see the full answer
What role do you play in cross-functional team collaboration?

Highlight your experience working with cross-functional teams, focusing on communication, aligning goals, and the importance of stakeholder management. Share anecdotes that illustrate your contributions to effective collaborations.

Join Rise to see the full answer
Why do you want to work as a Delivery Manager at Leonardo.Ai?

Reflect on your motivations for applying to Leonardo.Ai, emphasizing your passion for AI, creativity, and desire to be part of a company that values innovation and inclusivity. Craft a connection between your career goals and the company's mission.

Join Rise to see the full answer
Similar Jobs
Leonardo.Ai Remote No location specified
Posted 8 days ago
Posted 12 days ago
G MASS Hybrid No location specified
Posted 5 days ago
Photo of the Rise User
Posted yesterday
Photo of the Rise User
Posted 6 days ago
Photo of the Rise User
CourtAvenue Remote No location specified
Posted 4 days ago
Photo of the Rise User
Posted 8 days ago
MATCH
VIEW MATCH
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
November 27, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!