Full-Time
Technical Project Manager
Native
Posted on 10/31/2025
Leonardo.Ai
201-500 employees
AI-powered visual content generation and editing platform
No salary listed
Belmont, Australia + 5 more
More locations: Brisbane QLD, Australia | Melbourne VIC, Australia | Sydney NSW, Australia | Remote in Australia | Edinburgh, Australia
Hybrid
 Business & Strategy (2) |
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- A genuine interest in Generative AI: Familiarity with image generation AI technologies and tools such as Automatic1111, ComfyUI or similar open-source platforms.
- Technical Project Management Experience: Proven experience in digital or technical project management, with a track record of managing multiple projects from initiation to launch.
- Leadership and Team Development: Demonstrated leadership skills with the ability to guide and motivate a delivery squad, fostering growth, accountability, and high performance within the squad.
- Technical Proficiency: Understanding of software development processes and the ability to communicate effectively with technical teams.
- Excellent Communication and Organisational Skills: Strong interpersonal skills for maintaining alignment across multiple teams and keeping projects on track with clear expectations.
- Attention to Detail in UX/UI: Knowledge of UX/UI best practices, with an ability to oversee quality in design-related deliverables.
- Adaptability and Problem-Solving Skills: Comfortable adapting to shifting priorities, with a focus on proactively identifying and addressing project risks and roadblocks.
- Coordinate parallel iOS and Android work streams, managing project deliveries according to company-wide timelines across all platforms as well as independent native projects.
- Own end-to-end project delivery workflows, from kick-off sessions and briefing the team to holding QA sessions and signing off releases.
- Manage release workflows: release checklists, versioning, store submissions, phased rollouts, feature flags, and experiments.
- Drive feature launches across platforms while managing cross-squad dependencies and providing precise, timely updates.
- Translate stakeholder needs and product briefs into clear engineering epics and user stories with well-defined acceptance criteria.
- Keep Product lead informed with data, risks, timelines, and plan adjustments.
- Negotiate and redefine scope intelligently when timelines compress.
- Oversee testing across both apps using TestFlight, Firebase, and sandbox environments.
- Help prioritise backlog and technical debt alongside project work that impacts velocity and stability.
- Skilled in project management tools (Jira) and how to utilise them effectively.
- Skilled with resource management tools and planning techniques.
- Design and implement lightweight processes that accelerate delivery, not hinder it.
- Build workflows fit for purpose - aligned with our velocity and team culture.
- Stay flexible and iterate on what works.
- Continuously shape and improve ways of working in our Delivery Guild alongside other TPMs.
- Confident reading, creating, and acting on data insights, especially with Heap or similar analytics tools.
- Comfortable being hands-on with PR reviews, SQL queries, Retool, and AI tools.
- Experience setting up dashboards for real-time project visibility.
- Familiar with App Store Connect and Google Play Console growth tools.
- Experience working with feature flags using LaunchDarkly or similar platforms.
Leonardo.ai provides AI-powered tools that help creators generate high-quality visual content. Its platform offers features such as image generation, style transfer, and real-time editing, all supported by a library of pre-trained models and customizable templates. Users interact through intuitive interfaces, enabling quick creation and iterative refinement of artwork, graphics, and designs. The service differentiates itself with a strong community where artists can share work, collaborate on projects, and draw inspiration from others, in addition to a comprehensive toolset and model library. The goal is to help artists, designers, and creative professionals work faster and express their ideas more easily, while continuously improving the platform based on feedback and advances in AI.
Company Size
201-500
Company Stage
Acquired
Total Funding
$281M
Headquarters
Sydney, Australia
Founded
2022
Simplify's Take
What believers are saying
- Canva's 2024 acquisition expands reach to vast user base and resources.
- Raised $320M to advance generative content production platforms.
- Google Cloud partnership enhances image generation infrastructure scalability.
What critics are saying
- Canva integration diverts resources from standalone Leonardo innovation within 6-12 months.
- Adobe Firefly captures marketing teams via Photoshop native workflows in 12-18 months.
- OpenAI DALL-E 4 commoditizes Lucid Origin through free access in 6-12 months.
What makes Leonardo.Ai unique
- Launched model consistency workflows using image references for enterprise brand control.
- Unveiled comprehensive image editing suite with Nano Banana and Flux models.
- Released Creative Engine API post-Canva acquisition for developer integration.
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Benefits
Flexible Work Hours
Remote Work Options
Professional Development Budget
Company News
Leonardo AI releases model consistency workflows for enterprise content material groups. Leonardo AI has printed detailed workflows for sustaining model consistency in AI-generated visible content material, addressing one of many persistent ache factors for enterprise advertising groups adopting generative AI instruments. The methods middle on utilizing picture references relatively than textual content prompts alone to manage particular visible variables - shade palettes, typography, logos, and model mascots. For video technology, Leonardo recommends Picture-to-Video (I2V) and Begin/Finish body workflows to forestall the "id drift" that causes topics to warp or mutate throughout movement sequences. The technical strategy. The core perception: textual content prompts aren't sufficient. Once you ask an AI mannequin to make use of "model colours" or a "particular font," you are primarily asking it to guess from its coaching information. The consequence tends towards generic, middle-ground outputs. Leonardo's resolution includes creating visible reference sheets - shade swatches with HEX codes, font samples, emblem recordsdata - and importing them immediately as picture references alongside textual content prompts. For a UI mockup utilizing a particular shade palette, this implies producing a shade swatch sheet by way of instruments like Canva's palette generator, then feeding that picture to the mannequin whereas additionally together with HEX codes within the immediate textual content. Typography presents a more durable problem. Font substitute stays one of the crucial troublesome duties in AI picture technology, in response to Leonardo. Even fashions that render legible textual content wrestle to match particular named fonts from prompts alone. The workaround: create a easy visible displaying the font and use it as a picture reference, then swap to fashions optimized for textual content dealing with - Leonardo recommends their Nano Banana Professional mannequin for this job. Video consistency requires extra management. Video technology compounds the consistency drawback. With out anchoring frames, AI fashions should concurrently invent visible fashion and calculate physics of movement - a recipe for glitches. The Begin/Finish body workflow locks in precisely the place a video begins and concludes, eliminating guesswork. Leonardo emphasizes upscaling pictures earlier than feeding them to video fashions; low-resolution beginning frames may cause the AI to misread pixel noise as bodily shapes, creating artifacts throughout animation. Completely different fashions serve completely different functions. Leonardo suggests Veo 3.1 for morphing animations and Kling 3.0 for character-driven sequences, although mannequin choice depends upon the precise artistic utility. Why this issues for advertising and marketing groups. The "generic output entice" is not simply an aesthetic drawback - it is a model dilution drawback. Foundational AI fashions educated on large datasets naturally output the statistical common of comparable pictures. That common lacks the distinct character that differentiates manufacturers. Leonardo's steering consists of constructing centralized immediate libraries so groups work from similar foundations relatively than every member improvising their very own strategy. With out standardization, model consistency breaks down rapidly throughout campaigns. The corporate acknowledges that technical workflows alone will not produce actually on-brand content material. "AI fashions are glorious at following structural directions and matching colours, however they lack empathy," the information states. The human operator offers the emotional intelligence to attach model messaging with viewers expectations - AI handles execution pace and visible technology. For enterprise groups evaluating AI content material instruments, these workflows symbolize the present cutting-edge for managed technology. Whether or not opponents like Midjourney, DALL-E, or Runway supply equal model management options might decide which platforms seize the enterprise market.
Leonardo AI unveils comprehensive image editing suite with six model options. Leonardo AI releases detailed guide to AI image editing featuring Nano Banana, GPT Image 1.5, and Flux models as competition heats up with Adobe, Google, and Canva. (Read More)
Leonardo.Ai's Imagination Fund is transforming the creative industry by providing funding, visibility, and technical access amid the rise of generative AI. From over 500 global applicants, only five creators were chosen, including Australian fine art artist Mia Forrest, to develop ambitious, cross-discipline projects. This initiative marks a significant shift in the Australian creative sectors, allowing more meaningful AI experimentation in fields like art, advertising, and film.
Leonardo AI's Timothy Hsu at KOCCA Content Insight 2025: the future of human creativity in ai-driven storytelling. As artificial intelligence reshapes creative industries worldwide, Korea is emerging as a testing ground for how technology and storytelling can converge. At KOCCA Content Insight 2025, Leonardo AI's Timothy Hsu offered a rare, forward-looking perspective on what happens when human imagination meets AI machine capability - and why mastering the balance may define the next wave of global creative economies. Timothy Hsu on the future of ai-driven storytelling at KOCCA Content Insight 2025. During the second day of this event, Timothy Hsu, Head of Business Development at Leonardo AI, offered a rare window into how artificial intelligence is rewriting the language of creativity itself. Hsu's keynote followed Orbital Studios founder A.J. Wedding's session on virtual production, extending the conversation from real-time filmmaking to AI-driven storytelling. Speaking to prominent industry leaders, policymakers, and creators, Hsu's presentation, "Beyond Prompts: The Art and Industry of AI Storytelling," examined how AI's role in creative industries has evolved from mechanical generation into a partner that extends human imagination. Timothy Hsu, whose career spans Epic Games, MasterCard, and now Leonardo AI (acquired by Canva in 2024), positioned AI as a creative multiplier rather than a replacement. Also known as Tim Hsu, the Leonardo AI executive delivered a simple yet profound argument at KOCCA Content Insight 2025: that technology will certainly accelerate production, but it is still the human mind that gives meaning, emotion, and coherence to what AI creates. Timothy Hsu: AI as the bridge between cost, speed, and quality. Traditionally, content production required a trade-off among three constraints - cost, quality, and speed. Based on his experience, Tim Hsu stated at KOCCA Content Insight 2025 that achieving all three was nearly impossible. And so, he believed that AI had broken the barrier. Through tools like Leonardo AI's generative visual suite, small teams and independent creators can now produce high-quality outputs with minimal time and cost. He demonstrated how creators can test storyboards, character concepts, and design directions within seconds instead of weeks. This acceleration, he explained, represents a structural shift in how creative industries operate across advertising, gaming, fashion, and animation. Yet he also acknowledged that creative control and artistic precision remain ongoing challenges. And these are areas where AI tools continue to evolve. Beyond Prompts: AI as a creative partner. Hsu challenged the notion that creativity in AI begins and ends with text prompts. "You don't need to be a prompt engineer to use AI well," he said. "If you can draw, imagine, or describe - AI can help you bring it to life." He then demonstrated Leonardo's Realtime Canvas and Flow State features, which allow creators to draw, ideate, and iterate visually - bridging the gap between concept and execution. These tools enable collaboration in real time, allowing creative directors to guide teams interactively rather than through delayed feedback loops. The session also showcased Content and Style Reference functions that maintain artistic coherence across outputs and LORA training, a technique that allows users to train AI on faces, fashion lines, or visual worlds unique to their projects. These innovations point to a future where creative direction becomes more intuitive, transparent, and dynamic - aligning closely with Korea's national vision for accessible AI-driven content creation. Korea's creative-tech ecosystem and the democratization of AI. What Tim Hsu delivered at KOCCA Content Insight 2025 on how Leonardo AI's success in enhancing creative production carried particular resonance within the Korean ecosystem. Over the years, Korea's Ministry of Culture, Sports and Tourism and KOCCA have been actively fostering AI and real-time production technologies under programs that support next-generation studios, metaverse storytelling, and sustainable content ecosystems. His approach - lowering technical barriers and empowering non-experts - parallels Korea's strategy to make creative tools available to a wider base of creators and startups. It also echoes the broader government-backed movement to integrate AI across creative sectors within the nationwide AI Transformation strategy (AX), boosting vertical AI in sector-specific industries and ensuring that content innovation remains inclusive and globally competitive. Expanding imagination: the new language of storytelling. The latter half of Hsu's talk explored AI's potential to expand the boundaries of imagination itself. Through live demonstrations, he showed how AI tools can merge characters, worlds, and moods - turning abstract ideas into vivid stories. His examples, from hybrid creatures to surreal transformations, underscored AI's capacity to amplify creativity rather than constrain it. He also argued that AI has already reached a stage where creators can produce visually cohesive narratives in seconds - something unimaginable just a year ago. However, once again during his session at KOCCA Content Insight 2025, Tim Hsu strongly cautioned that the essence of storytelling will still remain human: "AI can help you generate scenes faster, but it's the creator who gives meaning to what those images become." The future of ai-driven creativity and its relevance with Korea's innovation. Tim Hsu's presentation at KOCCA Content Insight 2025 was far beyond a mere demonstration of Leonardo AI's capabilities. In fact, the session has resonated far beyond the creative community. Through his story and demonstration, Tim Hsu's has successfully shown how AI innovation intersects with cultural export and startup growth. The ability to lower creative barriers and scale content rapidly could potentially position Korea as a global leader in AI-driven storytelling - building on its strengths in K-content, gaming, digital art, and design software. His perspective also offered practical insight for venture investors and startup accelerators tracking the rise of creative AI. By bridging art and technology, platforms like Leonardo AI represent a growing frontier where Korean companies can localize solutions and train models with domestic IP for successful global export of creative technology. AI-Driven storytelling insight by Timothy Hsu: A future where creativity leads technology. In closing, Hsu reminded the audience that AI's promise lies not in automation, but in augmentation. While the tools can accelerate ideas, the spark that makes stories memorable - emotion, context, and cultural nuance - remains deeply human: "AI allows us to scale faster, produce higher-quality assets, and expand our imagination - but it can never replace creativity or storytelling. The next generation of storytellers will belong to those who know how to master their craft and use AI to tell their stories better." Finally, Tim Hsu's session at KOCCA's Content Insight 2025 offered a timely reminder that the future of content is never about machines replacing creators, but about humans using machines to amplify imagination and accelerate creation. Because even with identical tools, each creator brings a different intent and perspective. That is why as long as imagination evolves, creativity will continue to lead technology. - Stay Ahead in Korea's Startup Scene - Get real-time insights, funding updates, and policy shifts shaping Korea's innovation ecosystem. | Follow KoreaTechDesk on LinkedIn, X (Twitter), Threads, Bluesky, Telegram, Facebook, and WhatsApp Channel.
Leonardo.Ai has unveiled its latest innovation, Lucid Origin, a groundbreaking AI model that promises to revolutionize image generation with its hyper-realistic and design-ready capabilities.