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).

This is more than just a job. It’s a chance to join a fast-moving, innovative scale-up that is committed to helping employees grow both personally and professionally, while delivering solutions that genuinely transform its clients’ businesses.

As a Software Implementation Consultant, you’ll sit at the intersection of technology and business, helping clients translate complex processes into smart, scalable system configurations.

We’re looking for someone who loves solving problems, isn’t afraid to dive into the code, and enjoys collaborating with both technical teams and customers.

What You’ll Do

• Configure the platform: data models, workflows, business rules, and financial calculations.
• Analyse and transform data for system integrations.
• Test and validate solutions to ensure quality delivery.
• Work closely with clients and developers to translate requirements into technical action.
• Document changes, track progress, and help shape new product features.

What we are looking for 

• Hands-on coding experience (Java, C#, C++, Python, or similar OOP languages).
• A genuine passion for technology and curiosity about how things work.
• Strong logical thinking and problem-solving skills.
• Experience with databases (SQL) and software configuration.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• (Bonus) Experience in general insurance, SaaS or complex rule-based systems.

*University-level coding experience is welcome along with 1-2 years of commercial experience; what matters most is your curiosity, initiative, and drive to learn.

Why You’ll Love this role 

• Work with smart, collaborative people who value humility and continuous improvement.
• Be part of a scale-up that encourages growth and internal promotion. 
• Combine your technical skills and customer insight to deliver real impact.
• Flexible workplace 

If you would like more information, reach out to Karen at The Onset, 0450530351, email Karen@theonset.com.au or apply online

Write code that makes the heart of this trading machine beat.

Software Engineer (C++)

Hands-on development role focused on exchange connectivity and rapid execution

The mission

This global High-Frequency Trading ("HFT") firm provides liquidity to global markets, keeping trading action alive globally, open to close. Their two opportunities to win are:

1. Relentlessly developing trading strategies that capitalise on opportunities while they exist
2. Executing on them while they exist, before their competitors*

*Here's where you fit in.

The team

A collection of the world's sharpest mathematical, logical and technical minds across trading, engineering, IT and operations. You'll find your place in a group of engineers responsible for driving excellence in:

• Hardware: FPGAs keep things fast and customisable
• Software: Java, C++, CUDA, Python*
• ML: Actually, this is a secret

*These folks, your new colleagues are divided between core teams, and teams attached to particular trading activities

The control room

State-of-the-art office and lab environment fit for the market's most sought-after talent, complete with the following benefits:

• Generous paid parental leave
• Catered meals, barista coffees, well-stocked kitchen
• Volunteering opportunities, charitable donation matching
• A stacked social calendar
• Family days

The problem

• Insane socio-economic climate + headlines that could be Black Mirror episode titles = market volatility
• Volatility = growth for HFT firms equipped to capitalise (like this one)
• Growth = more brainpower needed to stay ahead

The solution

An engineer with a winning mindset, and likely experience and knowledge of:

• Modern C++ (on Linux) in ultra-low latency CI/CD environments
• Genuine ground-up "build" projects
• Thriving in high-pressure, often ambiguous circumstances
• Outstanding academics in Computer Science, Maths, Physics

Still reading?

Let's explore.

The world’s biggest breakthroughs rarely fail in theory, they fail in execution.

A process works beautifully in the lab, then collapses under real-world constraints.
A technology clears every technical hurdle, then stalls at pilot because no one owns delivery.
A promising system exists, but never quite makes the leap to something you can actually build, install, and run.

This team exists to close that gap.

They operate where science meets engineering reality — taking first-of-a-kind technologies out of the lab and into pilot plants, demonstration facilities, and ultimately commercial scale.

Right now, they’re looking for a Senior Process Engineer who can own that complexity end-to-end

What you'll be doing 
This is not a “sit behind the model” role.
You’ll take ownership of pilot plant delivery — translating experimental results into something that can be designed, built, installed, commissioned, and operated safely.
You’ll work alongside scientists, simulation specialists, fabricators, vendors, and commissioning crews — and you’ll be accountable for making the system work in the real world.

In this role, you will:

• Own the delivery of pilot-scale systems, from early design through to installation and commissioning.
• Translate lab and experimental outcomes into practical, buildable process designs.
• Lead first-of-a-kind process design, embedding scale-up, operability, and safety considerations from day one.
• Prepare and review engineering deliverables including BFDs, PFDs, P&IDs, equipment lists, and preliminary layouts.
• Develop and iterate mass and energy balances, equipment sizing, and process assumptions as data evolves.
• Perform techno-economic assessments to inform design choices and commercial decisions.
• Lead procurement of process and mechanical equipment, working directly with local and international vendors.
• Act as the on-site technical owner during fabrication, installation, commissioning, and troubleshooting.
• Identify technical, commercial, and safety risks early — and actively manage them through delivery.
• Communicate clearly with internal leaders and external stakeholders when trade-offs are required.

What we’re looking for

This role suits someone who has been through pilot delivery before, and understands where theory breaks down.

You’ll be a strong fit if you have:

• A degree in Chemical Engineering
• Hands-on experience delivering pilot plants or demonstration-scale systems — not just contributing to them.
• The ability to move comfortably between modelling, design, site work, and commissioning.
• Experience working with hazardous or corrosive systems, with a strong safety-by-design mindset.
• Sound judgement when data is incomplete and timelines are non-negotiable.
• A track record of owning outcomes, not just producing analyses.
• Clear communication skills — especially when explaining uncertainty, risk, and trade-offs.
  

The Ideal Background

• There’s no single “perfect” background for this role. Strong candidates typically have experience working outside the lab, delivering pilot or demonstration-scale systems in real operating environments.
• You’re likely to have worked with corrosive or hazardous processes, early-stage or first-of-a-kind technologies, and systems where data was incomplete and design assumptions were tested in the field.
• Your experience may come from chemical manufacturing, hydrometallurgy, mineral or metals processing, energy-adjacent technologies, or pilot plant operations. Specific commodity experience is less important than the ability to own delivery, balance safety and operability, and make sound engineering decisions under pressure.
• If you’ve been responsible for getting a pilot plant built, commissioned, and running — not just designed — you’re probably a strong fit.

Why this role is different

You won’t be handed a perfectly defined problem.
You won’t have the luxury of infinite data.
And you won’t be shielded from accountability.

But you will see your work move from concept to something physical, operating, and real — and you’ll know you played a critical role in getting it there.

If you’re motivated by ownership, execution, and seeing complex systems come to life outside the lab, this role will stretch you in the right ways.

Interested?
Reach out to Thaís Amorim at thais@theonset.com.au for a confidential conversation.