The Online Fuel Company (OFC) is on a mission to be the ultimate technical solution partner for mobility retailers and fleet card operators around the world. Through our EzySt platform, we are revolutionising, digitalising and simplifying the entire mobility purchase process — for retailers, for fleets, and for the hundreds of thousands of customers who interact with our apps every day.

Our platform is live at hundreds of locations across Australia and powers everything from pay-in-app and pay-in-store experiences to in-vehicle ordering, merchant management portals, fleet management tools, fuel discounts and in-store promotions, and EV charging. We’ve already secured our first offshore customers, and our sights are firmly set on the global market.

We’re a tech scaleup with serious ambition — and we’ve just secured all the funding we need to make it happen, following our recent acquisition by payments business Mobilata. With backing in place and the runway to scale, we’re growing the team with people who want to help us redefine what mobility commerce looks like.

What you’ll do

As IT Delivery Manager at OFC, you will own the end-to-end delivery of our technology programs — managing scope, timelines, budgets, dependencies and risk across the engineering, product, QA, DevOps and operations work that brings EzySt to life.

We are looking for a delivery leader with high emotional intelligence and strong soft leadership capability — someone who can recognise the strengths of our engineering, product, QA and DevOps teams, and create the conditions for those strengths to contribute to shared business outcomes. You’ll partner closely with the Head of Engineering, the Technical Product Manager and the broader team, leading through influence, trust and clarity rather than authority.

The ideal candidate will bring strong modern delivery fundamentals and be comfortable working across agile, waterfall and hybrid delivery environments, using whichever approach is right for the program and adapting as conditions change. You will use both formal and informal communication to improve delivery transparency across the company and to our customers, ensuring teams and leaders have a clear, timely and honest view of progress, risks, dependencies and decisions required.

This role also calls for thoughtful creativity and a practical, responsible mindset toward innovation. You’ll identify opportunities to improve delivery governance, reporting and operating rhythms — particularly through the responsible exploration of AI-assisted delivery practices, accelerating where they genuinely help and applying critical judgement where they could quietly introduce complexity, dependency or risk.

Key Responsibilities

Program & Delivery Management

• Own the delivery of OFC’s technology programs across engineering, product and operations — managing scope, timelines, budgets and resources across multiple concurrent workstreams.

• Apply the right delivery methodology for each program, and evaluate and embed AI-assisted delivery practices — such as automated status reporting, intelligent dependency tracking and AI-augmented retrospective analysis — where they genuinely improve outcomes.

• Break complex programs into manageable streams, plan capacity realistically, sequence dependencies and keep the team focused on the work that matters.

• Track progress against milestones, identify roadblocks early, drive resolution, and maintain accurate delivery forecasts that the leadership team can rely on.

Communication, Transparency & Stakeholder Engagement

• Use both formal and informal communication to drive delivery transparency across the company and to our customers — ensuring teams, leaders, partners and (where relevant) customers have a clear, timely and honest view of progress, risks, dependencies and the decisions required.

• Act as the primary delivery interface to OFC’s senior leadership, partners and customers — pairing structured executive reporting with the everyday hallway conversations that keep delivery honest.

• Translate technology delivery into language non-technical stakeholders can engage with, including communicating delivery programs that incorporate AI tooling adoption in terms stakeholders can actually evaluate and act on.

• Manage stakeholder expectations actively — surfacing trade-offs early, escalating when needed, and protecting the team from churn caused by avoidable ambiguity.

• Build strong, trust-based working relationships with the engineering, product, design, QA, DevOps and operations functions, and with our partners and suppliers.

Risk, Dependency & Issue Management

• Identify, escalate and manage delivery risks, dependencies and issues proactively — including risks specific to AI tooling adoption, such as vendor concentration, data governance exposure, AI-generated artefact quality, compliance considerations and team capability gaps in responsible AI use.

• Develop and own mitigation plans, with clear ownership, timelines and decision points.

• Coordinate across vendors, partners and integration counterparties to manage external dependencies that affect delivery confidence.

• Lead post-incident and post-program reviews where appropriate, turning lessons into durable improvements in how OFC delivers.

Delivery Governance, Innovation & Continuous Improvement

• Identify opportunities to improve delivery governance, reporting and operating rhythms in ways that genuinely benefit the team and the business.

• Lead the responsible exploration of AI-assisted delivery practices — such as automated status reporting, intelligent dependency tracking and AI-augmented retrospective analysis — bringing an informed, critical view on where they genuinely add value and where they don’t.

• Establish and uphold delivery governance appropriate to a scaleup — light enough to move fast, strong enough to keep us honest, and tailored to the regulated payments and mobility environment OFC operates in.

• Maintain and evolve the delivery operating model as OFC scales, including planning and estimation practices that account for AI-assisted engineering, quality and operational workflows.

• Manage delivery budgets, resource plans and vendor contracts, including cost modelling for AI tooling investment and the productivity assumptions used to justify it.

Collaboration & Capability

• Partner closely with the Head of Engineering, the Technical Product Manager, the DevOps Lead, the QA Lead and other engineering and product leaders to plan and execute against OFC’s roadmap.

• Coach engineering and product teams on disciplined delivery practice without micromanaging — lifting the team’s collective delivery capability over time.

• Champion the additional coordination overhead that responsible AI tooling governance introduces into delivery planning, and make sure it’s accounted for honestly in plans and estimates.

• Contribute to the broader OFC engineering culture — clear thinking, honest communication, and a genuine focus on outcomes for our partners and customers.

What you’ll bring

To succeed in this role, you will bring:

Qualifications

• High emotional intelligence and strong soft leadership capability — you recognise the strengths of engineering, product, QA and DevOps teams, and create the conditions for those strengths to contribute to shared business outcomes through influence and trust rather than authority.

• Strong modern delivery fundamentals, with the comfort and confidence to operate across multiple delivery methodologies — knowing which is right for which program and how to adapt as conditions change.

• Excellent communication capability across formal and informal channels, with the ability to drive delivery transparency across the company and to our customers — ensuring stakeholders have a clear, timely and honest view of progress, risks, dependencies and decisions required.

• Strong program and delivery management capability, with demonstrated experience delivering complex technology programs in fast-moving environments, and the risk and dependency discipline to identify and mitigate delivery risks proactively — including the specific risks introduced by AI tooling adoption in modern technology delivery.

• Thoughtful creativity and a practical, responsible mindset toward innovation, with the judgement to identify opportunities to improve delivery governance, reporting and operating rhythms — particularly through the responsible exploration of AI-assisted delivery practices.

Experience

• 7 to 10 years in IT or technology roles, with at least 3 to 5 years in delivery management, program management or equivalent positions.

• Demonstrated experience delivering complex technology programs on time and within budget — ideally including programs where AI-assisted engineering, quality or operational practices were in use and where delivery governance adapted accordingly.

• Practical experience managing delivery budgets, resource plans and vendor contracts — including, where applicable, vendor and contract considerations relevant to AI tooling and AI platform service providers.

• Hands-on experience using modern delivery tooling (e.g. Jira, Confluence, Linear, MS Project, equivalent) alongside emerging AI-assisted delivery and reporting platforms, with a disciplined approach to validating AI-generated insights before they inform stakeholder decisions.

• Experience operating in product-led SaaS, fintech, payments, mobility or other regulated technology environments is highly desirable.

• PMP, PRINCE2, Scrum/SAFe or equivalent certifications are valued — and so is the practical wisdom to know which parts of any methodology are worth keeping.

Skills

• Soft leadership in practice — reading the room, recognising team strengths, building trust quickly, and creating the conditions for cross-functional teams to do their best work.

• Delivery methodology fluency across agile, waterfall and hybrid approaches.

• Communication across channels — executive reporting, verbal updates, written briefs, escalation, hallway conversations, and the everyday transparency that keeps delivery honest.

• Project and program management tooling — Jira, Confluence, MS Project or equivalent — alongside familiarity with AI-augmented portfolio and delivery intelligence platforms applied with appropriate validation.

• Responsible innovation in delivery practice — identifying opportunities to improve governance, reporting and operating rhythms, and exploring AI-assisted approaches with both creativity and discipline.

• Vendor and contract management, including governance considerations specific to AI tooling vendors, platform service providers and AI-assisted managed service arrangements.

• Financial planning, budget tracking and resource management, including cost modelling for AI tooling investment and cloud workload expenditure.

• Risk management, dependency tracking and issue resolution across complex, multi-team programs.

• Coaching and capability uplift — helping engineering, product, QA and DevOps teams strengthen their own delivery practice over time.

What we offer you

If you love what you do, you should love where you do it. At OFC, we offer:

• A competitive salary commensurate with your skills, experience and the market.

• The chance to do genuinely meaningful work on a platform that’s already changing the mobility industry — and the influence that comes with owning delivery across a scaling, customer-critical platform.

• A flexible hybrid working culture — three days a week with the team in our Sydney office, two days wherever you do your best work.

• Real ownership and influence — small enough that your work moves the needle, big enough to back you with the right people, tools and partners, with fresh runway from our acquisition by Mobilata.

• Modern tooling and a mandate to keep it that way — including the chance to help shape how OFC adopts AI-augmented delivery practices responsibly.

• Growth and development opportunities, including support for professional certifications (PMP, PRINCE2, Agile / SAFe and others), conferences and ongoing learning.

• A team of curious, ambitious, kind humans who care deeply about doing good work and shipping it.