Engineering Manager Jobs in Sydney, USA

HomeMade, Mable, Leap in! and Mable Direct are entities under the Attain Healthtech Group of companies. While our companies are diverse, three similarities bind us: 1. We exist to create lasting, positive change across the entire care and support sector - impacting more lives, elevating standards and shaping the future of care 2. We believe in technology as an enabler 3. We’re driven by helping customers attain better outcomes This position is part of the Mable team.  About Mable Mable is one of Australia's leading and fastest-growing healthtech platforms. As a purpose-driven company, we are where thousands of people with disability and older Australians have connected with independent support workers of their choosing and on terms that suit them.  With more than 25 million hours of support facilitated since 2014, it's no wonder we have been recognised on the AFR's Top 100, Deloitte Tech Fast 50, were previously awarded Australian Growth & Technology Growth Company of the Year.  By working at Mable, you will join a high productivity and dynamic team environment, leading to meaningful change in Australia's care and support sectors. To find out more, visit https://mable.com.au/ About the role The Engineering Manager is accountable for the performance, growth, and delivery of one or more squads operating within HomeMade’s SAP domain. This role is accountable for stakeholder management, squad health, technical direction, and hands-on delivery.  You will manage priorities, develop squad engineers, and ensure engineering execution aligns tightly with product and business goals. You’re an empowerer of your squad, ensuring the right things are being delivered, by a team that is growing and functioning well.

Why join us? We’re a global tech company,  just not the kind you’re picturing. Sure, we’ve got catered lunches, team events, cool merch, and yes... dogs in the office. But that’s not why people join. Our team of nearly a thousand people wakes up every day to make our product and our customers’ lives better. At SafetyCulture, you’ll hear “yes, let’s give it a shot” more often than “that’s not how we do things here.” People join because we’re building tools that make work better for the 3 billion people who keep the world moving - factory floor operators, baggage handlers, truck drivers, servers, store assistants. The ones who make things happen. We’ve got the scale and innovation you’d expect from big tech. The difference? No endless layers of sign-off. No corporate theatre. Just smart, experienced people solving real problems fast . The scale is big. But the ownership’s personal. Every full-time team member gets equity - real skin in the game. When we grow, you do too. We’re not perfect, no company is. But this next chapter of our growth is about scaling with intelligence, not just size - fueled by operational maturity, a clear vision, and a strong focus on AI.  This is big tech impact, without the big tech ick. If that excites you more than it scares you, you’ll fit right in. About the Role This role exists to lead a team of engineers delivering improvements to our Inspections product — SafetyCulture's most established and revenue-generating offering. You'll keep the team healthy, the delivery moving, and the codebase in better shape than you found it, while growing as a people leader in a supportive and technically engaged environment.

We are committed to promoting a diverse and inclusive workplace - a place where we can each be ourselves and do the best work of our lives. At Tracksuit we consider a unique perspective, diverse experience and a growth mindset to be of greater value than ticking every box on a JD. If you think you have what it takes but don’t have the exact experience we’ve set out, please still get in touch and apply. We’d love to chat! At Tracksuit we provide beautiful, radically affordable, always-on brand tracking which is easy to use compared to traditional methods. We recognise that sounds like a ton of buzzwords for marketers, so what it really means is that we did over tens of thousands of surveys last month to find out what real humans think and feel about the world’s best brands and their competitors. Check us out here: www.gotracksuit.com 🙌 Are you our next Engineering Manager? We’re looking for an Engineering Managers to join our new AI Visibility Team at Tracksuit in Sydney. We’re working towards bringing in sentiment from AI chatbots and APIs to enrich our existing view on brand sentiment, which has historically been based on human survey data. You’ll be leading a strong team of three Senior Engineers in our sixth newly created team.

At Procreate we're dedicated to making exceptional creative tools by combining beautiful user experiences with high performance engineering. Used by millions around the globe, Procreate is committed to placing more power in the hands of creatives.   We’re looking for our first dedicated Engineering Manager to help lead teams in pursuit of our ambitious product roadmap. We're driven by the desire to deliver the best creative software experience for our global community. You’ll have deep technical experience as well as ability in progressive people management. You'll guide a small team of engineers to develop and ship mission critical features, solve complex technical problems, define the parameters of our projects, improve overall development efficiency and nurture our internal engineering talent.    The role   This is a critical role in which you'll make an impact on both the code base as well as from the perspective of people management. Your experiences will allow you to make contributions as an individual contributor while also leading, managing and guiding junior engineers as an engineering stakeholder.   The role sits within our product development team, and you’ll report to Michael Shaw, our CTO. You'll work closely with the engineering team, the executive and members of other departments to align engineering with other critical business functions.   Your work will provide additional structure and certainty to the development process and relieve the Executive member of the engineering team of people management functions, allowing them to focus on both executive and development duties.

We’re a leading business management solution with a core purpose: helping more businesses in Australia and New Zealand start, survive and succeed.   At MYOB, we believe what’s good for one business is good for all business—and for all of us. Whether you support them, work for them, or dream of building your own, when businesses run smoothly, everybody feels it. Owners, employees, customers, suppliers—even families. That’s why we’re here: to give every person in business the tools they need to focus on what really matters and do Big Things—whatever big looks like for them.   And for you? Joining MYOB means being part of that impact. It means using your skills to help businesses thrive, shaping the future of work, and growing alongside the people and communities we support. Because while we’re the business of software, we’re really in the business of people. And that makes MYOB Everyone’s Business. About the Team Our Tech team are true heroes. They’ve taken our legacy success and transformed it into an extraordinary SaaS platform to support SME and Enterprise businesses in ways they never knew they needed. By joining the Tech team, you’ll be an integral part of building our all-in-one business management platform.     Be at the Forefront of AI Innovation at MYOB  Are you a visionary engineer ready to build cutting-edge AI solutions that redefine how businesses operate? At MYOB, we empower small businesses with transformative technology. We’re looking for a Machine Learning Engineer to design, build, and scale AI-driven applications for our SaaS business management platform.    At MYOB, we don’t just deliver software—we empower businesses to succeed. As a Machine Learning Engineer, you’ll:  Build innovative AI systems that make a real-world difference for small businesses, collaborate with a passionate team committed to pushing the boundaries of AI while enjoying a culture of curiosity, authenticity, and collaboration, where every idea is valued.      The Role  As a foundational member of the AI team, you’ll shape the technical vision, lead a small team of engineers,  and togther build systems that directly impact our customers' success. This is a unique opportunity to:  - Design and implement machine learning systems from the ground up, with a focus on large language models (LLMs) and foundation models tailored to small business needs.  - Develop and deploy AI-powered features for automated document understanding, financial forecasting, and conversational interfaces.  - Optimise AI systems for scalability, safety, and reliability - Work in a dynamic environment, bringing ideas from concept to production.      What You’ll Do  - Build from Scratch: Develop and optimise machine learning systems, focusing on innovative solutions for small business accounting challenges.  - Deploy at Scale: Create scalable workflows to train, deploy, and monitor machine learning models on AWS services like SageMaker and Bedrock.  - End-to-End Ownership: Lead projects from ideation to production, implementing MLOps best practices for robust and efficient solutions.  - Collaborate and Innovate: Partner with product managers, engineers, and stakeholders to align technical solutions with customer and business goals.      What You’ll Bring  - Technical Expertise: Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with LLMs and foundation models (e.g., GPT, Claude, Llama).   - Thought leadership and experience mentoring, coaching, or leading others - Cloud-Native Experience: Strong knowledge of AWS services (SageMaker, Bedrock, S3) and cloud-based architectures.  - MLOps Skills: Expertise in CI/CD pipelines for ML, model versioning, monitoring, and containerisation (Docker, Kubernetes).  - Customer Focus: Passion for solving real-world challenges for small businesses through innovative AI applications.  - Innovation: Thrives in ambiguous environments, bringing creativity and resilience to build impactful systems from the ground up.  - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.  - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty) are highly desirable.      Ready to Build the Future?  If you’re passionate about AI and want to be part of a team that’s shaping the future of business technology, we’d love to hear from you!