Shape the future of early careers in a leading technology organisation

Competitive Salary + Employee Share Plan (ESP) | Flexible Hybrid | Additional Leave Benefits + more

This is an opportunity to take ownership of a well-established Junior Talent Programme and shape what it becomes next.

Working closely with Engineering, Product and People leaders, you'll design and evolve how junior talent is on-boarded, developed and supported across the business.

This isn't a graduate recruitment role. The attraction and hiring of talent already exists. Your focus is what happens next - creating exceptional experiences, development pathways and long-term growth opportunities for junior talent.

You'll have the opportunity to influence programme strategy, future capability planning and the overall experience of junior talent from day one.

What you'll be doing

• Design and continuously improve the overall programme experience
• Develop on-boarding, team placement and development pathways
• Build scalable frameworks that support junior talent from day one
• Create a consistent and engaging experience across the programme
• Understand future capability requirements across engineering and product teams
• Help ensure junior talent development aligns with future workforce needs
• Build trusted relationships with leaders across Product & Technology
• Support leaders to successfully integrate and develop junior talent
• Track programme performance and outcomes
• Measure retention, engagement and conversion success
• Identify opportunities for improvement and innovation
• Ensure the programme remains aligned to broader business priorities

What we're looking for

Experience in Early Careers, Graduate Programs, Talent Development, L&D or People Experience within a technology or SaaS environment, partnering closely with Engineering and Product leaders. You understand how software engineering and product teams operate and can confidently partner with technical leaders on capability development, learning pathways and future talent needs. You'll also understand how the Software Development Lifecycle (SDLC) influences learning pathways, performance expectations and career growth for junior technical talent.

You'll bring:

• Experience owning or managing graduate, early careers or junior talent programmes
• Strong programme management and stakeholder engagement skills
• Experience working with technical stakeholders and Product & Technology teams
• An understanding of how technology organisations operate
• Curiosity about future capability needs, AI and workforce development
• The ability to balance strategic thinking with hands-on delivery

What's on offer?

• Competitive salary package + Employee Share Plan (ESP)
• Flexible hybrid working
• Additional leave benefits
• Strong wellbeing and health benefits
• Inclusive employee communities and resource groups
• High visibility across Product, Engineering and People leadership
• Opportunity to influence a strategically important programme with executive sponsorship
• Work alongside experienced Product & Technology leaders in a highly regarded technology organisation

This is a role where you'll have the autonomy to make meaningful change while being supported by one of the most respected technology brands in the market.

If you're passionate about helping early career talent thrive and want to shape the future workforce of a leading technology organisation apply now or contact Geri Condon at The Onset on geri@theonset.com.au

Software Engineer (Golang)

Influence Technical Decisions, Not Just Write Code

Lead UX/UI Designer

We're partnering with a leading B2B SaaS company that builds software for architecture and engineering firms. They're making significant investments in AI and are looking for a senior design leader to help shape the future of the product through customer research, rapid prototyping and the design of intelligent user experiences.

About the Job

• Own and lead the end-to-end design function, guiding Product and Engineering teams through discovery, research, prototyping, design execution and delivery.
• Work at the intersection of UX, product strategy and AI innovation.
• Influence product direction through customer insights, experimentation and rapid validation.
• Design intuitive experiences for data-rich workflows and AI-powered features.
• Partner closely with Product, Engineering and PMs in a highly collaborative environment.

What You'll Be Doing

• Conduct customer interviews, usability testing and discovery sessions to uncover meaningful insights.
• Use AI-assisted tools and rapid prototyping techniques to validate ideas before development begins.
• Design and refine end-to-end user experiences across complex workflows and data-heavy interfaces.
• Help define how AI-powered capabilities are introduced into the product, ensuring trust, transparency and usability.

What We're Looking For

• 7+ years of experience in UX, Product Design, or UX Research roles within digital products or SaaS environments.
• Strong experience leading customer research and translating insights into product decisions.
• Proven ability to simplify complex workflows and information-rich experiences.
• Experience using AI-powered design, prototyping, or research tools as part of your workflow.
• Strong stakeholder management and communication skills, with the ability to influence cross-functional teams.
• Deep understanding of UX principles, interaction design and information architecture.
• Experience working on B2B products, enterprise software, analytics platforms, or workflow-driven applications is highly regarded.

Why This Opportunity?

• Join a highly respected SaaS business with a strong product-led culture and global customer base.
• Play a key role in shaping the next generation of AI-powered experiences.
• Work directly with senior leadership and have genuine influence over product strategy.
• Be part of a lean, high-performing team where decisions are made quickly and your work has a visible impact.
• Competitive salary package, flexible hybrid working and the opportunity to solve meaningful, complex design challenges every day.

We're seeking a senior Collaboration specialist to lead pre-sales, solution design and customer engagement across Microsoft Teams, Cisco Webex and Contact Centre technologies.

This is a customer-facing role focused on shaping modern workplace strategies, designing innovative communication solutions and acting as a trusted advisor to enterprise clients.

What You'll Do

• Lead technical pre-sales engagements across Teams Calling, Webex Calling, Contact Centre and UC solutions
• Translate business requirements into scalable, outcome-driven collaboration solutions
• Own solution design, proposals, workshops and technical presentations
• Partner with sales teams to identify opportunities and grow strategic accounts
• Provide technical leadership throughout the solution lifecycle, from discovery to implementation
• Build strong relationships with customers, vendors and technology partners
• Influence collaboration strategy, innovation and future service offerings

What You'll Bring

• 8+ years' experience in IT, Telecommunications or Collaboration technologies
• Deep expertise in Microsoft Teams, Cisco Webex, SIP and Contact Centre platforms
• Strong pre-sales, consulting and stakeholder engagement experience
• Ability to communicate complex technical concepts to both technical and executive audiences
• Experience with cloud telephony, SBCs and modern workplace technologies

Highly Regarded

• Microsoft Teams and Cisco Collaboration certifications
• Managed Services experience
• Exposure to AI-powered voice or contact centre technologies

This is an opportunity to combine technical depth, customer engagement and strategic influence while helping organisations modernise how they communicate and collaborate.

russell@theonset.com.au / 0438984265

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.

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

Lead AI Product Designer - Globally Recognised SaaS Platform | Sydney

About the Company

Our client is a globally recognised technology platform used by hundreds of thousands of small businesses and their advisors across Australia and around the world. Design is not a support function here, it sits at the heart of product development, with a team of 85+ practitioners globally and direct influence over product strategy and roadmaps. This is a place where great design is expected, celebrated, and acted upon.

Their collaborative, human first culture is one they're genuinely proud of, and it shows in how the design team operates: cross-functional, trusted, and given real scope to shape what gets built.

The Role

This is a senior individual contributor opportunity for a seasoned product designer who is ready to help define what AI-powered product experiences look like at scale. You'll be embedded in a dedicated product area focused on AI, spanning agents, content, design systems, and AI tooling and workflows, working closely with Product and Engineering on some of the most complex and consequential design challenges in the business.

This is not a people manager role, but it is a leadership role. You'll be the design voice on AI experience, helping to establish patterns, principles, and ways of working that will shape how the wider team approaches AI product design. If you're someone who leans into AI, not just as a productivity tool but as a design medium, this is the role for you.

What You'll Do

AI Experience Design

• Lead the design of AI-powered product experiences, including agentic workflows, AI-generated content, and intelligent tooling, from early concept through to polished, shipped product
• Help define and evolve design patterns for AI interactions: how users understand, trust, and direct AI agents; how content surfaces and adapts; how errors and edge cases are handled with care
• Contribute to and influence the design system as it evolves to support AI-era components, patterns, and guidance
• Champion human-centred design in the context of AI, advocating for clarity, control, and appropriate trust in AI-assisted experiences
• Work with AI tooling and build it into your design workflow, using AI to accelerate ideation, prototyping, and exploration without compromising craft

Design Practice & Craft

• Work with design leadership to shape the product design vision and ensure consistency and quality of execution within your product area
• Own end to end design across complex, systemic initiatives, from problem framing through to detailed interaction design and delivery
• Create wireframes, prototypes, visual layouts, and detailed interaction specifications that balance user needs, business strategy, and technical constraints
• Design for accessibility from the ground up, not as an afterthought
• Collaborate closely with other designers across the team, contributing to critique and shared ways of working

Research & Insight

• Identify research opportunities and partner with researchers to plan and conduct user research and usability testing, including evaluative research specific to AI experiences (trust, comprehension, control)
• Synthesise customer insights and data to make evidence-based design decisions and inform product direction
• Contribute to a deep understanding of customer needs, pain points, and behaviours within your product area

Cross-functional Collaboration

• Build strong working relationships with Product Managers, Engineering Leads, and AI/ML teams, influencing prioritisation and roadmap decisions
• Facilitate cross-functional workshops to align teams around key decisions at the right moments in the process
• Collaborate with developers during sprints for design QA and hands on problem solving as issues arise

Leadership & Mentorship

• Mentor and coach designers in your team through critique, feedback, and knowledge sharing, including helping others build confidence and fluency in designing for AI
• Help define and improve design processes that can be implemented across the wider team
• Partner with Leads, Principals, and Design Leadership to continuously improve how the design function operates

What You'll Bring

• A strong portfolio demonstrating high-quality product design work, with clear evidence of impact on both user experience and business outcomes. A portfolio is required to be considered for this role.
• Hands on experience across the full design process, from discovery and problem framing through to detailed interaction design and delivery
• Proven experience tackling large, complex, and systemic design challenges, ideally including 0-to-1 product development
• Experience designing for or with AI: agentic systems, AI-generated content, intelligent workflows, or similar
• Comfort working in enterprise-scale product environments where design decisions affect hundreds of thousands of users
• A deep understanding of user-centred design principles and genuine craft across interaction, UI, and visual design
• Confidence presenting and defending design decisions to product, engineering, and senior stakeholders
• A track record of mentoring or coaching other designers and contributing to team culture
• Experience working in a fast paced, agile product environment. SaaS experience is a plus.
• Strong understanding of accessibility standards and inclusive design practices

Why This Role?

• Your design work will ship to hundreds of thousands of users globally, the scale of impact is real
• You'll be at the frontier of AI product design, helping to establish patterns and practices that don't yet exist
• A mature, well resourced design function with strong executive support and cross-functional respect
• No people management responsibility, stay in the craft while still growing as a leader
• Generous leave, flexible and hybrid working, employee share plan, and a genuine commitment to wellbeing

How to Apply

The client's identity will be shared with shortlisted candidates. Please apply with your CV and a portfolio demonstrating the impact of your design work. Applications without a portfolio cannot be considered.

Lead UX Researcher Global SaaS | Sydney or Melbourne | Hybrid

About the Company

Our client is a globally recognised technology platform used by hundreds of thousands of small businesses and their advisors across Australia and the world. With a product led culture and a genuine commitment to customer understanding, they treat research as a strategic function, not a support service. Their design and research team has direct influence over product roadmaps and senior leadership decisions.

The Role

This is a senior individual contributor opportunity for a researcher who is equally comfortable shaping strategy as they are running a study. You'll lead end to end qualitative and quantitative research programs across complex product areas, and translate findings into clear, compelling recommendations that move the business forward.

This role goes beyond execution. You'll be expected to elevate practice across the broader team - mentoring designers and researchers, advocating for ethical and inclusive research standards, and building research capability beyond your immediate squad.

What You'll Do

Research

• Design and lead qualitative and quantitative research programs on large, complex product challenges
• Apply a broad range of methods - interviews, usability testing, diary studies, surveys - selecting the right approach for each context
• Scope and interrogate research requests to pragmatically match methodology to business need
• Synthesise findings across studies to surface patterns and draw holistic, cross-journey conclusions

Influence & Communication

• Craft concise, compelling presentations tailored to senior and cross-functional stakeholders
• Translate insights into actionable recommendations that shape product strategy and roadmaps
• Build strong relationships across product, design, and engineering

Practice Building

• Mentor and coach researchers and designers, raising the overall standard of research practice
• Lead initiatives to improve team processes, tools, and ways of working
• Champion ethical, inclusive, and accessible research approaches

What You'll Bring

• A degree or equivalent experience in design research, HCI, psychology, or a related field
• A strong portfolio demonstrating high-quality research communication with clear evidence of business impact
• Deep expertise across qualitative and quantitative methods applied to complex product environments
• Excellent stakeholder management and communication skills - you can influence senior leaders and make complexity clear
• Proven experience mentoring researchers or designers in a collaborative team environment
• Experience in a fast-paced, agile product organisation - SaaS or fintech exposure is a plus

Why This Role?

• Your research will directly influence product strategy - not just sit in a Confluence page
• Genuine flexibility with hybrid working arrangements
• Inclusive culture; if you're excited about the role but don't tick every box, apply anyway
• Competitive package including employee share plan and generous leave

How to Apply

Please apply with your CV and a portfolio or examples of work that demonstrate research impact on business outcomes. CV's without portfolio's will not be considered.