Own Strategic Technical Partnerships in Deep Tech

Imagine sitting at the intersection of product, engineering, and commercial. You will own critical external partnerships from first technical conversation through to successful field deployment.

This is your opportunity to play a pivotal role in scaling breakthrough hardware technology from prototype to real-world impact.

We’re looking for a commercially astute, technically credible operator who can combine structured thinking with hands-on delivery.

In this role, you’ll:

• Lead technical scoping conversations and convert qualified opportunities into active partnerships.

• Translate complex engineering capability into clear, aligned partner requirements.

• Own delivery across field trials and early deployments, ensuring performance meets expectations.

• Build trusted relationships with technical and commercial stakeholders, including government-adjacent organisations.

• Establish repeatable partnership processes that enable scale as the business grows.

The ideal candidate has experience in hardware, engineering, or deep tech environments, thrives in ambiguity, and is comfortable managing multiple stakeholders across technical and commercial teams.

It’s end-to-end ownership of partner outcomes in a company moving from prototype to product at a pivotal growth stage.

For more information, call Megan on 0415 786 968 or email megan@theonset.com.au

Sshh! Can You Keep a SECRET?

Specialist Helpdesk / Technician | Windows 11 - Desktop Support
📍 Williamtown, NSW
📅 12 Month Contract (Potential to Extend)
🔒 NV1/NV2 Clearance Required

Ready to put your tech skills to work... under wraps?

Please note: You must be an Australian citizen in order to apply for this role and have current NV1/NV2 Australian Government security clearance. Thank you.

Join a globally respected private organisation supporting an Australian Government operation. This is your chance to work behind the scenes—literally—with a team that operates at SECRET and TOP SECRET clearance levels.

Why this role?

• Long-term career potential: Start on contract, with future opportunities for permanency.
• Security-cleared? You’re already in rare company—this role opens doors to future opportunities.
• Work on impactful projects with real-world importance.

What you’ll be doing

• Provide IT support and troubleshoot moderately complex delivery systems or network issues.
• Escalate and coordinate with vendors on hardware or networking problems.
• Assist with configuration management of basic computing delivery systems.
• Ensure documentation is kept up to date and aligned with policies and procedures.
• Respond to service desk tasks and support tickets in a timely, professional manner.
• Ensure IT operations meet industry standards and compliance requirements.

What we’re looking for
✔ 3+ years' experience in PC support, specifically Windows 11 environments
✔ Strong understanding of networked PCs and peripherals
✔ Excellent communication and troubleshooting skills
✔ Certificate-level IT qualifications (and ideally 4+ years' relevant experience)
✔ Ability to work independently, take initiative, and follow through
✔ NV1 or NV2 clearance (Australian Citizens only)
✔ Willingness to travel to remote sites as needed, and occasionally work out-of-hours/on-call
✔ Valid driver’s license

Bonus points if you

• Have experience in secure environments
• Thrive in fast-paced, high-trust teams
• Love tech but also like keeping things hush-hush

🎯 Interested? Apply online or reach out to Steven at steven@theonset.com.au.

Top-secret tech support isn’t for everyone. But if you’ve got the clearance, we’ve got the opportunity.

#LI-AL1

Group Financial Controller

Omnia Collective is a private-equity-backed AI & Data led technology group entering its next phase of growth - one defined by integration, scale, and operational maturity.

Entering 2026, the focus is on deliberately building a group-level finance function that supports continued acquisition, sharper commercial insight, and confident decision-making at scale.

We’re hiring a Group Financial Controller to take ownership of the financial engine across the group - someone who brings structure, consistency, and judgement, and who enjoys building robust systems that enable growth rather than constrain it.

This is a hands-on, high-trust role with real visibility, working closely with senior leadership as Omnia continues to scale.

The opportunity

You will sit at the centre of the group’s financial engine, acting as the control and execution backbone across multiple operating businesses, systems, and jurisdictions.

Working closely with the CEO and an incoming COO/CFO, you will be the person who:

• Owns month-end close - on time, every time

• Ensures audits are calm, predictable, and defensible

• Maintains absolute confidence in the integrity of the numbers

• Identifies issues early, escalates clearly, and resolves decisively

• Helps integrate newly acquired businesses into a coherent, scalable group finance model

This is a period of real growth - including further acquisitions - which means accuracy, consistency, and judgement matter. Clean data and strong controls aren’t “nice to haves” here; they are non-negotiable. You thrive on building trust through numbers, insights, and consistency.

What you’ll actually be doing

You will be close to the detail where it counts:

• Running group month-end close and consolidations

• Reviewing journals, reconciliations, intercompany flows, and balance sheets

• Producing reporting packs that leadership and investors trust without hesitation

But this role is not about living permanently in the weeds.

A core part of your mandate is to make finance work better:

• Removing manual workarounds and fragility

• Tightening AP, AR, payroll, and GL processes

• Documenting how things should run - and establishing standards that come to life in the business

• Helping the function scale through better systems and processes, not brute force

You will also lead and develop a small finance team, lifting capability from task execution to ownership and judgement - setting expectations, building career paths and holding the line.

Who this role suits

This role tends to suit Financial Controllers who:

• Were trained well (often in professional practice or Big Four)

• Have operated in PE-backed, listed, or similar high-expectation environments

• Have lived through audits, integrations, or transactions where accuracy really mattered

• Are comfortable dealing with senior stakeholders and explaining numbers clearly and confidently

You are technically strong - but what really distinguishes you is judgement:

• You know what matters

• You know when to escalate

• You don’t wait to be told when something isn’t right

You take pride in doing things properly, and you care about building something that lasts.

What success looks like

Within 12–18 months:

• • Month-end close is smooth, fast, and predictable

• Audits are controlled, not chaotic

• Leadership and investors trust the numbers - and trust you

• The finance function feels calmer, sharper, and genuinely scalable

• The business operates with more confidence because the foundations are solid

In short: things work better because you’re here.

A final note

This is not a role for someone looking to coast.
It is a role for someone who enjoys responsibility, visibility, and building things properly - with a clear pathway into broader group leadership as Omnia continues to scale. This role participates in ESOP and you will enjoy a remuneration package with a “skin in the game element” aligning you to the long term ambitions of the business.

If that sounds like you, it’s worth a closer look.

Imagine delivering laser light into a microscopic diamond with absolute precision — and collecting a signal so faint that every design decision matters.

A new generation of quantum sensing depends on that moment.

An early-stage, venture-backed deep-tech startup is building a diamond-on-chip platform that measures magnetic fields with extraordinary precision. The technology is already proven in the lab.

The mission now is to turn that optical system into a compact, manufacturable module ready for real-world deployment.

This role exists to make that leap.

The opportunity

As a Photonics Engineer, you will own the optical excitation and fluorescence read-out system that sits at the core of the product.

You will design how light is delivered into the diamond sensor, how the signal is collected, and how that entire optical system becomes a stable, repeatable and vendor-buildable package integrated with diamond and CMOS electronics.

Your scope will include:

• defining the optical architecture and component choices
• building and aligning hands-on prototypes
• optimising excitation and read-out performance
• working with diamond and optics suppliers on processing and quality
• designing a compact photonics package that can actually be assembled at scale
• defining tolerances, workflows and documentation for manufacturing partners

You will work closely with quantum, electronics, mechanical and test engineers to balance performance with alignment tolerance, thermal behaviour and production constraints.

About you

You are a hands-on optical or photonics engineer who has built real systems — not only modelled them.

You have experience designing and characterising laser-based or fluorescence read-out systems and understand what it takes to align, stabilise and troubleshoot them in practice.

You are comfortable owning an optical subsystem end-to-end and enjoy turning high-performance designs into dependable hardware.

Experience with optical sensing, instrumentation, spectroscopy, microscopy, lidar or similar photonics products is highly relevant.
Exposure to packaging, manufacturing support or working with external vendors is a strong advantage.

You do not need a quantum background — but you do need curiosity, pragmatism and the ability to learn fast in a new technical domain.

What success looks like

Within your first year, you will have:

• defined and validated a production-ready optical architecture
• delivered repeatable, stable optical performance across prototypes
• produced a compact, manufacturable photonics package integrating optics, diamond and electronics
• established clear assembly tolerances and vendor-ready documentation

Why join

Your work directly enables navigation where GPS fails and lower-impact mineral exploration — and helps move quantum sensing out of the lab and into real environments.

Australian citizenship or permanent residency is required due to defence-aligned projects.

If you’d like to find out more, reach out to Thaís – thais@theonset.com.au

Data Architecture & AI Strategy Lead

Location: Sydney (Hybrid)

Salary: $180,000 - $210,000 + super (depending on level and experience)

(Hands-on | AI & Unstructured Data)

We’re looking for a senior hands on data leader who still enjoys building, not just talking about it. Someone who can combine hands-on data architecture with strategic AI thinking to turn ideas into autonomous, agentic systems that create real business impact. You’ll work with a strong, senior data engineering team and existing data science capability - your role is to provide the missing layer of AI architecture, data governance, and strategy.

The opportunity
This scaling FinTech business has already built a robust data foundation. What’s missing is a clear layer for AI and agentic systems, particularly around:

• Making unstructured data usable: turning emails, transcripts, documents, and other unstructured sources into actionable insights.
  
  
• Building AI-ready data foundations: designing end-to-end architectures to support LLMs, RAG workflows, vector databases, and graph-style data models.
  
  
• Turning AI concepts into practical outcomes: translating strategy into testable experiments, enabling autonomous AI agents to deliver measurable results.
  
  
• Data governance: establishing frameworks and practices to ensure data is accurate, consistent, and accountable, especially when powering AI systems.
  
  

You’ll need

• Hands-on experience architecting and building data systems, not just using them.
  
  
• Experience designing solutions that prepare and serve unstructured data for LLM-enabled use cases, including vector stores, graph-style models, and RAG architectures.
  
  
• Strong understanding of:
  
  
  • Unstructured data pipelines
    
    
  • LLM workflows / RAG-style architectures
    
    
  • Trade-offs between structured and unstructured data
    
    
  • AI / agentic system architectures
    
    
• Ability to design solutions first, then choose tools - not the other way around.
  
  
• Data governance expertise: implementing policies and practices that ensure quality, reliability, and compliance.
  
  
• Strong stakeholder and leadership experience: influencing without ego, coaching teams, and guiding decision-making.
  
  
• Clear communication, humility, and comfort saying:
  
  
  • “This won’t work — here’s why.”
    
    
  • “Here are three options and the trade-offs.”
    
    

What success looks like
You’ll take ownership of shaping the AI architecture, designing experiments, and building frameworks that make unstructured data usable. You’ll bridge strategy and execution, helping the business move from isolated AI experiments to fully autonomous, agentic systems that deliver real value.

Why join
This is a chance to lead the next wave of AI innovation in a scaling FinTech business with a collaborative, high-trust culture. You’ll work alongside experienced data engineers and scientists who are committed to building best-in-class systems, with the freedom to shape strategy and see your ideas come to life.

If this sounds like you and you've got the relevant skills hit apply or reach out to ailbhe@theonset.com.au

Here’s where you’ll work on greenfield, customer-facing machine learning products with visible impact on a high scale app and website. You’ll have the freedom to influence system design, choose appropriate technologies and deliver end-to-end solutions with less regulatory constraint than many industries.

Engineers operate in highly autonomous agile squads, giving you plenty of scope to shape how things are done while building your technical and leadership capabilities.

There are team member discounts across the portfolio of brands and access to wellbeing programs, including 24/7 support via the Sonder app. You’ll also get progressive and competitive leave policies and opportunities for career development within a large, diverse organisation.

And of course, you’ll be part of a supportive, collaborative working environment with flexible hybrid working arrangements.

What you’ll do

Design, develop, deploy and maintain production machine learning pipelines and data-driven services. These will directly support customer-facing digital products within a significant retail brand.

Build and maintain Python-based APIs that integrate ML outputs into web and app platforms, working closely with Data Scientists to productionise models and analytical solutions.

Contribute to system, solution and API design in the absence of dedicated solution architects, and collaborate with software engineers, product owners and business analysts in an agile squad.

Participate in sprint planning, ticket refinement, estimation and delivery across discovery, build, test and release phases, applying appropriate testing, deployment and monitoring practices to ensure reliability and performance of solutions.

What you’ll need

• Bachelor’s degree (or higher) in Computer Science, Engineering or a related field

• 5+ years of commercial ML/software engineering experience

• Strong hands-on experience with Python in production environments

• Experience working with data, SQL and machine-learning–driven solutions

• Experience designing and building reliable, high-throughput batch or streaming systems

• Experience developing and integrating RESTful or gRPC APIs

• Experience deploying and operating services using CI/CD pipelines

• Experience working in cloud

About the company

One of the largest employers in Australia and New Zealand, operating a diverse portfolio of retail brands. Through its partnership with a data specialist firm, the employer brings together deep retail expertise and advanced data science and analytics capabilities to deliver data-driven solutions that support customer-facing digital products and large-scale retail operations.

Please click the ‘Apply’ button. Don’t worry if your CV isn’t up to date. Just send what you have and we’ll deal with that later.

Senior Product Manager – Digital Acquisition

Leading eCommerce & Subscription Business

We are looking for a Senior Product Manager- Digital Acquisition to own and optimise the top-of-funnel digital experience across a high-growth eCommerce and subscription business.

This role is laser-focused on driving new customer acquisition through performance-led digital journeys, sitting at the intersection of product, growth marketing, data, and engineering. You will own how customers land, convert, and progress through the acquisition funnel, with clear accountability for conversion, CAC efficiency, and first-purchase revenue.

This is not a generalist product role. It is a commercial, metric-driven acquisition role.

What you will own

• End-to-end ownership of the acquisition funnel, from first touch through to checkout

• Performance of all acquisition surfaces including landing pages, product pages, cross-sell placement, cart, and checkout

• Continuous optimisation of conversion across paid and organic traffic

• The CRO and experimentation roadmap, including A/B and multivariate testing

• Close partnership with Performance and Growth Marketing, translating channel insights into product-led improvements

• Acquisition KPIs including conversion rate, funnel drop-off, CAC efficiency, first-purchase revenue, and customer quality

• Improvement of multi-product and pricing funnels to maximise acquisition value

• Delivery of outcomes within a constrained and evolving platform environment

What we are specifically looking for

You must be able to demonstrate:

• Deep experience in digital acquisition and top-of-funnel optimisation within an eCommerce or DTC environment

• Strong fluency in performance marketing channels such as Meta, TikTok, and paid search, with the ability to partner credibly with growth teams

• A proven track record of driving measurable conversion and revenue uplift, not just shipping features

• Hands-on experience leading CRO and experimentation programs, with clear examples of wins delivered

• Strong commercial judgement, including the ability to assess trade-offs between conversion, CAC, and LTV

• Confidence operating in imperfect or constrained platforms, prioritising impact over perfection

• Clear, structured product thinking and the ability to make data-led decisions

What will set you apart

• Experience optimising acquisition funnels in subscription-based businesses

• Comfort working across multiple entry points and traffic sources at scale

• Principal-level thinking with the potential to grow into broader leadership responsibility

• A bias for action, accountability, and measurable outcomes

Why this role

• High-impact role with clear ownership of acquisition outcomes

• Direct influence on growth, revenue, and customer quality

• Close collaboration with senior product and growth leaders

• Opportunity to shape and mature the acquisition capability of a leading eCommerce brand

Senior Machine Learning Engineer (Computer Vision)
Sydney | Full-time | Hybrid (3 days per fortnight)

The Mission
A Sydney-based engineering team builds perception systems that inspect critical infrastructure in the real world. Think crack detection on dams and corrosion detection on heavy industrial assets. This role exists to build new computer vision and ML capability, then carry it all the way into production.

Not a demo. Not a research island. End-to-end ownership.

What You’ll Work On
• Designing and shipping ML and computer vision systems across multiple software platforms
• Building scalable pipelines for image and 3D/spatial data (point clouds, meshes)
• Developing production-grade models and data processing workflows (Python, PyTorch/TensorFlow, scikit-learn, NumPy, Pandas)
• Handling uncertainty in sensors, data quality, and operating environments
• Taking ML components from PoC through to product features that are reproducible, monitorable, and maintainable
• Validating performance and robustness against real customer requirements
• Communicating trade-offs, limitations, and technical risk clearly to stakeholders
• Partnering with product and engineering to shape feature scope, priorities, and delivery plans
• Improving team practices through documentation, mentoring, and pragmatic engineering standards

The Way This Team Works
• Extreme ownership: engineers steer from ideation to requirements to build to production
• Cross-functional by default: product, ops, data capture, platform engineering, global stakeholders
• Flexible work patterns: outcomes matter, not clock watching
• High retention: people stay because the problems are hard and the impact is real
• This is a long-game role with room to shape your lane, whether that’s technical depth, product influence, or leadership over time

What Matters Here
• 4+ years of hands-on applied ML and computer vision experience (detection, segmentation, classification, 3D reconstruction)
• Strong Python and modern ML framework experience
• Solid software engineering fundamentals (Git, testing, modular design)
• Comfortable in Linux environments
• You can navigate ambiguity without freezing or over-processing
• You can own a feature like it’s your baby and run it to maturity
• Clear communicator across technical and non-technical audiences

Nice To Have
• Deep experience working with 3D data (point clouds, meshes, spatial workflows)
• Robotics, SLAM, sensor fusion, or autonomy-adjacent background
• CI/CD, deployment workflows, orchestration tooling, and production monitoring patterns

Apply / Enquire
Apply directly or email Toby Tank at toby@theonset.com.au with your CV or a short note on what you’ve shipped in production (especially in CV, 3D, robotics, or sensor-driven ML).