You'll join a large enterprise where you'll work alongside architecture, engineering and delivery teams to ensure security is embedded into technology initiatives from day one. Whether it's cloud platforms, digital products or emerging technologies, you'll provide practical guidance that enables the business to move quickly without compromising security.

This role is about influencing outcomes rather than policing them. You'll review solution designs, define security architectures, identify risks early and work closely with technical stakeholders to deliver secure, scalable solutions. You'll also help evolve the organisation's security capability and contribute to the adoption of modern technologies, including AI-enabled services.

You'll have experience as a Security Architect within a large, complex environment and be comfortable working across multiple projects and stakeholders. You'll have a solid understanding of cloud security, modern application architectures and secure design principles, with the ability to communicate technical concepts to both technical and non-technical audiences.

Experience with cloud platforms, container technologies, APIs, automation, DevSecOps and security architecture frameworks will be highly regarded, along with a genuine interest in emerging technologies and the evolving security landscape.

Russell@theonset.com.au  / 0438984265

Head of Sales

Build the commercial engine behind one of Australia's fastest-growing consumer technology businesses.

We are partnering with a high-growth consumer technology business entering an exciting new phase of scale. They're looking for a Head of Sales to transform how sales performance is led nationally, building a data-driven, customer-first sales organisation that will underpin the company's next stage of growth.

You'll inherit a successful business with strong momentum, but the opportunity lies in taking it to the next level. You'll lead a national sales function, bringing the team together under one operating model, creating consistency, improving capability and using analytics to optimise every stage of the customer journey.

You'll look beyond sales targets, using commercial data to understand customer behaviour, optimise the buying journey, improve the attachment of finance and value-added products, influence digital product decisions and build a sales function capable of supporting the business's next stage of growth. Working across cross-functionally, you'll influence everything from sales playbooks and CRM journeys to digital conversion, value-added product attachment and the future evolution of the customer experience.

What you'll bring

• Experience leading high-performing, multi-site sales teams in a fast-paced, customer-centric environment.
• A strong analytical mindset, with the ability to turn commercial insights into measurable improvements in sales performance and customer conversion.
• Experience building sales playbooks, operating rhythms and performance frameworks that enable teams to scale.
• A collaborative leadership style, with the ability to influence stakeholders across Product, Marketing, Customer Experience and Operations.
• A passion for developing high-performing teams and creating a culture of accountability, coaching and continuous improvement.
• A builder's mindset—you enjoy creating, optimising and scaling functions rather than simply maintaining them.

Why this opportunity?

This is an opportunity to help shape the future of a business at a genuine inflection point. You'll work alongside an ambitious leadership team, influence key commercial decisions and build the systems, people and processes that will support the company's next phase of national growth.

If you're excited by combining leadership, analytics and commercial strategy to build something meaningful, I'd love to have a confidential conversation.

Senior Embedded Software Engineer

Sydney | Hybrid | IoT

The Mission

Build the software behind a new generation of connected consumer products, from early proof of concept through to global mass production.

You’ll work across embedded systems, device connectivity, user interfaces and cloud-connected features, helping turn ambiguous product ideas into reliable, intuitive and commercially successful hardware.

The Challenge

This isn’t a narrow firmware role. You’ll join a multidisciplinary product squad alongside electronics, mechanical, industrial design, quality and product development specialists, owning software across the complete device experience.

Depending on the product, that could include:

• Developing embedded software in C and C++

• Building software for microcontrollers and connected devices

• Contributing to React Native interfaces running on physical products

• Integrating device, mobile and cloud components

• Designing reusable software architectures across multiple product families

• Reading schematics and debugging across hardware and software boundaries

• Prototyping quickly during concept development

• Maturing code through formal release gates into production-quality software

• Supporting manufacturing, validation and occasional factory engagement

• Collaborating with local teams, overseas engineering partners and remote software groups

The engineering lifecycle runs for roughly two to three years, taking products from an initial hypothesis through proof of concept, commercial approval, pilot builds and mass production.

The Bar

You don’t need to arrive as the finished article. You do need to be a strong software engineer who can solve problems, write code and operate comfortably around physical products.

The strongest profiles will include:

• Commercial C and C++ development experience

• Strong programming fundamentals and practical problem-solving ability

• Experience developing software for embedded systems, IoT devices or connected hardware

• An understanding of software architecture, reusable code and clean engineering practices

• The ability to read electronic schematics and debug interactions between software and hardware

• Experience with unit testing, code reviews and structured development processes

• Confidence working through unclear or incomplete requirements

• Clear communication across multiple engineering disciplines

Exposure to React, React Native, JavaScript, Python, cloud platforms or mobile development would be valuable, but not essential.

Experience in consumer electronics, medical devices, robotics, industrial IoT or another product-led engineering environment would translate well.

The Hire

You’re likely a software-first engineer who wants to work closer to the hardware.

You may already be an embedded specialist, or you may have started in full-stack, mobile or application software and developed a genuine interest in electronics, devices and physical products.

You’ll probably enjoy this role if you:

• Prefer tangible products over purely digital platforms

• Can move quickly without sacrificing long-term quality

• Know when a prototype needs to be fast and when production code needs to be robust

• Ask good questions when requirements are unclear

• Work collaboratively rather than treating firmware as an internal service

• Care about the full user experience, not just your individual codebase

• Want broad technical exposure without giving up hands-on development

This team values raw problem-solving ability over a perfect keyword match.

The "Why me?"

You’ll join an unusually experienced software group with significant principal-level capability across embedded systems, connected devices, user interfaces and cloud technologies.

That means genuine access to engineers who have built products at scale and can help you grow across multiple layers of the stack.

There are also several long-term career paths available:

• Remain deeply hands-on and progress toward principal engineering

• Take on technical leadership or architecture responsibilities

• Move toward engineering management as the team continues to scale

• Develop broader capability across embedded, IoT, UI and cloud systems

The "Why this?"

• Work exclusively on new product development

• See your software move from concept to globally manufactured hardware

• Join a growing engineering function with multiple approved hires

• Contribute earlier in the product lifecycle and influence product architecture

• Work across embedded software, IoT, connected interfaces and physical systems

• Build reusable platforms rather than repeatedly starting from scratch

• Learn from a highly experienced, low-turnover engineering team

• Access annual incentives and a long-term equity-style reward

• Gain occasional exposure to international manufacturing operations

This is an opportunity to build software people can physically interact with, and to stay close enough to the product to see exactly how your decisions shape the final experience.

Still reading? Get applying and let's talk.

Product Test Engineer – Embedded Systems | Sydney | up to $120,000 + super

I placed a test engineer at this company seven years ago. He's now Leading the team. If you're looking for similar progression, it's on offer here. 

You'll also do it in one of Sydney's more stable engineering teams, I've placed 12 people here over 7 years, 10 are still there building physical products sold in 70+ countries.

Why people stay:

• Genuine flexibility. No clock-watching, no justifying your day. Late starts, early finish, whatever works for you. 
• A hiring manager who develops people, not just manages them. 
• Variety. Engineers move across product lines and pick up new disciplines as they go.

They're now hiring two more Test Engineers.

You'll test embedded firmware and connected products on real hardware. From prototype through to production. Serial, Wi-Fi, BLE, MQTT. Pytest-driven automation. CI pipelines. Debugging failures that span firmware, fixtures and hardware behaviour.

You'll need:

• Strong Python, ideally with pytest or similar.
• Experience testing physical or connected devices, not just software.
• Comfort with Git, Jira, and CI/CD tools like Jenkins.

You could be a recent grad or a few years in. What matters is you've tested something you can hold in your hand, not just something running in a browser.

Sydney-based only.

Interested? Send me your CV, or just message me if you want to know more first, happy to talk it through before you decide anything.

Julien@theonset.com.au | 0406 158 832

Software Engineer (.NET / Backend) - Build AI-Powered Products at Scale

Location: New Zealand (Remote or Hybrid)

Technology is changing fast, and so is this engineering team.

We're looking for Software Engineers who enjoy solving complex engineering problems, modernising legacy platforms, and using AI to improve the way software is built and delivered. If you're excited by clean architecture, automation, modern engineering practices, and building software that reaches millions of users, we'd love to talk.

You'll join a collaborative engineering team that believes in shipping quality software, learning continuously, and giving engineers the freedom to influence technical direction.

What you'll be working on

• Building scalable, cloud-native software used by businesses every day.
• Modernising legacy systems into maintainable, high-performing platforms.
• Leveraging AI-assisted engineering tools and workflows to improve developer productivity and software quality.
• Designing and building new products and capabilities from the ground up.
• Automating manual processes wherever possible.
• Solving complex engineering challenges at scale.
• Working across the full software development lifecycle—from design through to production support.
• Collaborating with Product, Design and Engineering teams to deliver customer-focused outcomes.

What you'll bring

We're interested in engineers who:

• Have strong experience building commercial software in .NET/C# or another modern backend language.
• Care deeply about writing clean, maintainable, well-tested code.
• Enjoy improving existing systems as much as building new ones.
• Have experience with cloud platforms (AWS, Azure or GCP).
• Understand modern engineering practices such as CI/CD, automated testing, code reviews and observability.
• Are curious about AI developer tools and excited to incorporate them into everyday engineering.
• Thrive in collaborative, agile teams and enjoy sharing knowledge with others.
• Can troubleshoot production issues and think systematically about reliability and scalability.

Why this opportunity?

You'll have the opportunity to:

• Work on meaningful technical challenges at enterprise scale.
• Help shape the future of AI-assisted software engineering.
• Modernise large-scale legacy platforms using modern architecture and engineering practices.
• Work with talented engineers who value collaboration, continuous learning and technical excellence.
• Influence technical decisions rather than simply implementing requirements.
• Enjoy the flexibility of working remotely anywhere in New Zealand or in a hybrid environment.

We'd love to hear from you if you enjoy

• Building elegant software that solves real customer problems.
• Learning new technologies and experimenting with modern engineering practices.
• Taking ownership from design through deployment.
• Working in teams that value quality, trust and continuous improvement.

If you're looking for a role where you can combine strong engineering fundamentals with modern AI tooling while helping transform large-scale products, we'd love to start the conversation. Hit apply if you would like to schedule a confidential chat.

Some data scientists want to publish papers. Some want to secure a FAANG logo on their CV.

And then there are the ones who want to be able to explain the work that they do simply at a dinner party. Even if they are building and shipping systems that millions of people use.

The hiring firm is a scale-up processing billions in financial transactions annually. Traditionally data science was seen as a support function - building dashboards, running analyses, supporting other teams’ decisions. But that’s changing.

They’re in the middle of a fundamental shift: data science is moving from analytics to product. These roles will own that shift in one of their highest-impact product areas. You’ll be building systems that help customers understand their decisions, size opportunities, and automate complex workflows. You’ll work on problems like conversion propensity modelling, opportunity sizing, and ML-driven product recommendations.

You’ll report to their Head of Data Science - someone who understands that great data science is about shipping things that matter, not perfect models that sit in notebooks. You’ll own projects end-to-end: from scoping through to customers using your work. And you’ll grow into a technical leader on a team that’s scaling.

This isn’t an analytics role. It’s a product role with deep technical foundation.

At traditional banks and large corporates, data science is often downstream - analytics that supports decisions made elsewhere. You build models that sit in notebooks. Impact is measured quarterly, if at all. Change takes months.

Here, data science is upstream. Your work shapes product direction. Your insights directly influence what millions of users see. An idea you propose on Tuesday can be tested with real users by Thursday. You care about measurement and rigour - not because someone’s forcing you to, but because good systems at scale are expensive and you want to be proud of what ships.

You’re working alongside engineers who care about code quality and deployment. Product managers who understand that measurement matters. A leader who’s been in the technical trenches and knows the difference between elegant theory and pragmatic shipping.

And you’re not alone. You’re part of a growing data science team. Learning from more senior practitioners. Building skills that compound. You’ll be:

• Owning product analytics projects end-to-end (scoping, analysis, experimentation, storytelling)
• Building ML models that inform product decisions and drive feature adoption
• Working hands-on with SQL and Python to explore data and validate hypotheses

Ideal experience:

• 3-5 years of hands-on data science or analytics experience
• Strong SQL and Python skills
• Experience with product analytics
• Statistical thinking - you design experiments, test hypotheses, know when to be sceptical
• Software engineering mindset - clean code, testing, and reproducibility matter to you

Melbourne or Sydney. Hybrid work (1-2 days/week onsite). You’re not commuting daily. You have focused time to code, but you’re in the room when decisions matter.

You’ll also get autonomy to own problems, fast iteration cycles, mentorship from experienced data scientists, and the rare opportunity to help shape how a company thinks about data science at scale.

Interested?

Contact ronny@theonset.com.au / 0448 808 848

Some data scientists want to publish papers. Some want to secure a FAANG logo on their CV.

And then there are the ones who want to be able to explain the work that they do simply at a dinner party.

Despite processing billions in financial transactions annually, for years; data science was seen as a support function - building dashboards, running analyses for “the business”, supporting decisions – not really making them. But that's changing.

They're in the middle of a fundamental shift: data science is moving from analytics to critical in driving product design. They're building intelligent agents that customers depend on daily. They're embedding sophisticated systems into core workflows. They're investing heavily in measurement and governance because they believe good data science requires both rigor and speed.

You'll report to their new Director of Data Science - someone who sits at the table where strategic product and engineering decisions happen. You'll own initiatives end-to-end: from conception through to customers using your work. You'll mentor early-career data scientists across several teams - a technical leadership role, not a people-management one. And you'll help them figure out what it means to be a truly data-driven organisation.

At traditional corporates, data science is often downstream analytics that supports decisions made elsewhere. You build models that sit in notebooks. Impact is measured quarterly, if at all. Change takes months.

Here, data science is upstream. Your work shapes product direction. Your insights directly influence what millions of users see. An idea you propose on Tuesday can be tested with real users by Thursday.

And critically: you're not the only data scientist being relied upon. Mentoring matters here because the function is scaling across several teams - you'll raise the technical bar by coaching peers and early-career data scientists.

Ideal experience:

• 7-9 years of hands-on data science experience
• Strong Python and SQL
• Experience shipping models to production (SDLC mindset)
• Comfort with LLMs, modern ML infrastructure
• Ability to work independently and own outcomes end-to-end
• Track record of raising the technical bar through mentoring and peer influence — not necessarily through formal leadership

Melbourne or Sydney. Hybrid work (min 1-2 days/week onsite). You’ll have focused time to code, but you're in the room when decisions matter.

You'll also get autonomy to own problems, fast iteration cycles, a team culture that values both rigor and speed, and the rare opportunity to help shape how a company thinks about data science at scale.

Apply through the link or contact ronny@theonset.com.au / 0448 808 848

Some data scientists want to publish papers. Some want a FAANG logo on their CV. Others just want to explain their work simply at a dinner party.

For years, data science was a business support function running analyses for "the business". Supporting decisions made elsewhere.

Data science now drives product decisions. People are building systems customers depend on daily, embedding them into core workflows, and investing heavily in measurement and governance. They need a leader to own it.

You'll report to the VP, who is based in the US, but you'll own the strategy and impact of a portfolio of data science work across multiple teams.

And establish governance for AI, data quality, privacy, and model risk. Lead and develop strong managers and senior ICs.

We need someone with 12+ years in data science and proven experience leading managers and operating at enterprise scale.

You've led multiple teams through large strategic programs. You've built platforms or standards that materially improved organisational leverage.

You have strong strategic judgment, excellent executive communication, and the ability to build alignment across senior leaders.

Experience in product, B2B SaaS, or leading responsible AI adoption is highly desirable.

Melbourne or Sydney. Hybrid (1-2 days/week onsite).

Sound like you? I'd love to hear from you - ronny@theonset.com.au or 0448 808 848.

As Principal you’ll operate as both architect and commercial lead – selling, shaping, and delivering analytics-led engagements end-to-end. You’ll work with regional leadership to win new business while also running complex delivery across data, AI, and customer innovation. It’s a high-trust, delivery-first culture that values autonomy, commercial instinct, and technical credibility.

Most projects are based in Sydney or Melbourne, with occasional regional engagement across APAC.

This is not a staff-augmentation firm. We’re looking for someone who can bring structured thinking, sell complex analytics work, and lead high-impact delivery with banks, insurers, and digital-first BFSI clients.

Ideal Candidate:

• Stable resume with 8–12 years' experience in strategy consulting (e.g. MBB, Big 4) 
• Track record of selling complex data/AI work in BFSI 
• Deep understanding of FS – credit, fraud, loyalty, pricing, customer growth
• Based in Sydney or Melbourne, with ~3+ days/week in-office or on-site

This is a leadership track role with clear growth to Partner. You'll work directly with a tight-knit senior team focused on building capability across APAC. The scope is broad – fraud, credit, GenAI, customer strategy – but unified by the goal of delivering sharp, tech-enabled business outcomes.

Sound like your next step? Contact Ronny at ronny@theonset.com.au or 0448 808 848 for a confidential discussion.