Engineering Manager - AI Team

Nuix Limited

Sydney

Hybrid

AUD 180,000 - 240,000

Full time

14 days+

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Job summary

Nuix in Sydney is building a new AI engineering team focused on Nuix Neo. This leadership role owns Enrich data enrichment capabilities and guides the AI mandate across the platform, blending internal models with off-the-shelf tooling for both on-prem and SaaS deployments.

You will lead Sydney, Ukraine, and US engineers and data scientists, accountable for delivery, team health, and ways of working in a distributed setup.

Qualifications

  • At least 10 years in software engineering with leadership experience.
  • Proven engineering management experience leading geographically distributed teams.
  • Experience delivering products across on-prem and SaaS (Kubernetes-based).
  • Technically credible across a modern stack (Java, Python, React/TypeScript).
  • Strong track record in delivery management and stakeholder communication.

Responsibilities

  • Lead a cross-timezone team (Australia, Ukraine, US) and manage hiring, onboarding and performance.
  • Own delivery and plan roadmaps with product managers to ship high-quality software across on-prem and SaaS.
  • Collaborate with Product Manager to translate strategy into a viable, sequenced roadmap; advise on feasibility and trade-offs for AI initiatives.
  • Establish effective ways of working for a globally distributed team with healthy overlap.
  • Ensure engineering quality and security outcomes; address code and vulnerability scans.
  • Stay technically involved to review designs and contribute to direction without being on the critical path.

Skills

Leadership in engineering
Distributed teams management
AI/ML product leadership
Java
Python
React/TypeScript
Delivery management
Stakeholder communication
Security & compliance
Kubernetes / Cloud

Education

Bachelor's degree in Computer Science, Engineering or related field

Tools

Kubernetes

Job description

We're on a mission to be a Force For Good, through our People, Products and Purpose at Nuix. Nuix is one of the greatest comeback Technology success stories in Australia, and we're making massive waves each day. Nuix is, and will be, a pioneer in the Australian Technology space, and we're carrying the torch on what \"good\" looks like.

This extends to our People. We're fiercely passionate, love working at pace, thrive in ambiguity, live, and breathe outside of the box, and above all are good humans. Our impact extends outside of our 9-5, and our place in society isn't always defined by corporate metrics. We're determined to make a positive difference in the world, whether through our solutions which help the top companies, governments and agencies find the truth and combat illegal activities, or through our people who care about contributing and giving back both within, and outside, of Nuix. We are a Force For Good.

We're selective about who comes on board, and you should be too. But if the above sounds like a match, get in touch today and get ready for the possibility of starting a once-in-a-career journey.

Role Overview:

We're building a new AI engineering team in Sydney with broad scope across Nuix Neo. This role carries dual responsibility. You’ll own Enrich, our established data-enrichment capability that finds, identifies and codifies information in unstructured documents (named-entity recognition, PII extraction, document-type identification, compound lexeme and skills analysis, and more), combining our own models with off-the-shelf tooling and shipping across on-prem and SaaS. You’ll also lead the team's new and expanding AI mandate in the platform: taking on our broader AI strategy, building out agentic capabilities that will change how our customers work.

You lead this team end-to-end: Sydney engineers alongside experienced engineers and data scientists in Ukraine and the US. You are accountable for delivery across both the existing product and the new AI scope, for team health, and for the ways of working that let a distributed team ship high-quality software across on-prem and SaaS deployments. You'll partner closely with a dedicated Product Manager to shape and sequence the roadmap, and with our Architecture function to keep us moving toward target state. This is a people-leadership role for someone who is technical enough to earn the team's trust and unblock them — without sitting on the delivery critical path themselves.

Location:

This position will be based in our Sydney office. The candidate is required to attend the office a minimum of 3 days per week but may voluntarily elect to work either remotely or from the Sydney office for the remaining 2 days of the wee

Key Responsibilities
  • Lead, coach and grow a cross-timezone team (Australia, Ukraine, US) — hiring, onboarding, career development, performance and day-to-day support.
  • Own delivery: Partner with product managers to plan, prioritise, manage risk and dependencies, and provide predictable shipping of quality software across on-prem and SaaS.
  • Partner with the Product Manager to translate strategy into a viable, sequenced roadmap; give engineering input on feasibility, effort and trade-offs for AI and agentic initiatives.
  • Establish the ways of working that make a globally distributed team effective, protecting a healthy overlap between Sydney and remote members.
  • Be accountable for engineering quality and security outcomes — code and vulnerability scan reports addressed continuously, secure-by-design practices upheld.
  • Stay close enough to the technology to review designs, contribute to technical direction and support development — without being on the delivery critical path.
Skills, Knowledge and Expertise
  • At least 10 years' experience in software engineering, with a strong hands-on foundation before moving into leadership.
  • Proven engineering management experience is essential, including leading geographically distributed, cross-timezone teams.
  • Any experience managing an AI / ML product development team is favourable— familiarity with the realities of shipping AI features, agents or model-backed products.
  • Experience delivering products across both on-prem and SaaS/cloud (ideally Kubernetes-based) is desirable.
  • Technically credible across a modern stack (Java, Python, React/TypeScript) — enough to guide design and quality conversations and give useful code-review feedback, without needing to be the strongest coder in the room.
  • Strong track record in delivery management, stakeholder communication and building high-performing, healthy team cultures.
  • Familiarity with document-intelligence, NLP or data-enrichment domains is a plus.
  • Degree in Computer Science, Engineering or a related field, or equivalent experience.

Nuix is an equal opportunities employer. Don’t let imposter syndrome hold you back! We welcome all applications and are a flexible employer.

We strive to make any required adjustments where possible to make the process fair and equitable for everyone. If you need any accommodations throughout the interview process, please note this in your job application.

Nuix is on an incredible journey of transformation, aligning our strengths with our ambitions to pursue greater opportunities. To find out more about who we are and what we are doing, please visit our web page.

https://www.nuix.com/

As we expand our global team and extend our skills and expertise, we are unified as one Nuix team guided by our shared values.
Nuix Vision

Finding Truth in a Digital World.

Nuix Mission Statement

Nuix creates innovative software that empowers organizations to simply and quickly find the truth from any data in a digital world. We are a passionate and talented team, delighting our customers with software that transforms data into actionable intelligence.

Nuix Values
  • TAKE OWNERSHIP
  • RESILIENT
  • UNAFRAID
  • TEAM NUIX
  • HERO OUR CUSTOMERS

We believe in these principles and seek to weave them into the fabric of our daily work at Nuix. In doing so, we co-create a dynamic and purposeful company culture that we can be proud of and want to belong to.

**Nuix is an Equal Opportunity Employer**

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