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Xero

Engineering Manager - ML & AI

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · AU: Sydney (45 Clarence St)

Employer listed it 5 weeks ago · Added yesterday

Been open since 5 weeks ago, still being checked, but it has been live a while.

Salary

Not stated

Location

Hybrid · AU: Sydney (45 Clarence St)

Timezone

Not stated

Contract

Full-time

Experience

Mid

Category

Data

This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around AU: Sydney (45 Clarence St), AU: Melbourne: (260 Burwood Rd), NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3), NZ: Wellington: Xero One (19-23 Taranaki St), Hybrid, so you need to live within commuting distance.

What the employer says

  • Source listing states candidate location: "AU: Sydney (45 Clarence St), AU: Melbourne: (260 Burwood Rd), NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3), NZ: Wellington: Xero One (19-23 Taranaki St), Hybrid"
  • Listing mentions "Hybrid"

What Nomaders makes of it

  • Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

The role & impact

As Engineering Manager in Machine Learning & AI Team, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features.

You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at Xero's scale.

The team & how they connect

You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production.

The team is currently working on

Production ML infrastructure and MLOps supporting Xero's AI-native product suite

Systems powering JAX (Just Ask Xero), Xero's conversational GenAI assistant

Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts

Future work extending cash flow forecasting and other embedded ML capabilities

Where and how you can work

We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.

Here are some of the things we're looking for, for this role

You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time

Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate

You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health

Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you

You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident

Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here

Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, hybrid, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Xero, mentioning your remote working experience.
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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