Engineering Manager, Data & Analytics

Karbon; Melbourne; Presencial; AUD 140.000 - 180.000; Jornada completa

Descripción de la vacante

Karbon is seeking a Data & Analytics Manager in Melbourne to lead a high-performing team that balances efficiency with excellence. You will coach engineers, foster autonomy, and promote responsible AI tooling across the delivery lifecycle, collaborating with Product and Design to translate goals into actionable plans in a Scrum cadence.

You will manage a multi-million dollar product, drive platform stability, and advance engineering practices while ensuring clear communication across time zones

Responsabilidades

• Coach and grow engineers through clear expectations, regular feedback, and thoughtful development plans.
• Create an environment where engineers can do focused work, collaborate effectively, and keep improving—without heroics or burnout.
• Help build a strong team culture that values autonomy, accountability, and craftsmanship.
• Help the team thoughtfully adopt AI-assisted tooling across the software delivery lifecycle to improve developer productivity and code quality.
• Lead by example in using AI tools where they add real leverage, and help engineers understand when AI accelerates work—and when human judgment matters most.
• Partner with Product and Design to translate goals into a clear plan, then guide the team through execution in a Scrum cadence (planning, delivery, review, retro).
• Manage a multi-million dollar product, growing our top and bottom line while improving platform stability
• Balance new work, enhancements, bugs, maintenance, and technical debt with sound judgment and transparent trade-offs.
• Improve delivery quality and speed over time by reducing friction, improving clarity, and continuously strengthening engineering practices.
• Champion strong development practices: code reviews that teach, testing discipline, pragmatic documentation, and maintainable implementations.
• Encourage “analytical” thinking - creatively solving data problems for our customers is at the heart of this role.
• Champion “you build it, you own it” - Deliver product while balancing technical health
• Lead blameless incident reviews focused on learning and systemic improvements.
• Improve observability and system health so the team can confidently ship and support the Core product over time. (This role may include on‑call participation in the future.)
• Collaborate effectively across Engineering, Product, Design, and Support.
• Communicate clearly across time zones and contexts—making decisions understandable and durable.

Conocimientos

Team leadership

Data analytics

AI tooling adoption

Scrum/Agile

Cross-functional collaboration

Mentoring

Engineering best practices

Herramientas

AI tooling

Data platforms

Descripción del empleo

About Karbon

Karbon is the global leader in AI-powered practice management software for accounting firms. We provide an award-winning cloud platform that helps tens of thousands of accounting professionals work more efficiently and collaboratively every day. With customers in 40 countries, we have grown into a globally distributed team across the US, Australia, New Zealand, Canada, the United Kingdom, and the Philippines. We are well-funded, ranked #1 on G2, growing rapidly, and have a people-first culture that is recognized with Great Place To Work® certification and on Fortune magazine's Best Small Workplaces™ List.

About The Role

We’re hiring a Data & Analytics Manager who grows high-impact teams that balance efficiency with excellence, value autonomy and creativity, and thrive in a collaborative, inclusive environment.

Team vision: “Enable rapid innovation through a unified data platform”

Lead a high-performing, healthy team

• Coach and grow engineers through clear expectations, regular feedback, and thoughtful development plans.


• Create an environment where engineers can do focused work, collaborate effectively, and keep improving—without heroics or burnout.


• Help build a strong team culture that values autonomy, accountability, and craftsmanship.


• Help the team thoughtfully adopt AI-assisted tooling across the software delivery lifecycle to improve developer productivity and code quality.


• Lead by example in using AI tools where they add real leverage, and help engineers understand when AI accelerates work—and when human judgment matters most.

Deliver meaningful outcomes in Scrum

• Partner with Product and Design to translate goals into a clear plan, then guide the team through execution in a Scrum cadence (planning, delivery, review, retro).


• Manage a multi-million dollar product, growing our top and bottom line while improving platform stability


• Balance new work, enhancements, bugs, maintenance, and technical debt with sound judgment and transparent trade-offs.


• Improve delivery quality and speed over time by reducing friction, improving clarity, and continuously strengthening engineering practices.

Raise the bar for engineering excellence

• Champion strong development practices: code reviews that teach, testing discipline, pragmatic documentation, and maintainable implementations.


• Encourage “analytical” thinking - creatively solving data problems for our customers is at the heart of this role.


• Champion “you build it, you own it” - Deliver product while balancing technical health

Build operational strength (without creating toil)

• Help the team build healthy on-call and operational practices, including ownership, runbooks, sensible alerting, and effective incident follow-up.


• Lead blameless incident reviews focused on learning and systemic improvements.


• Improve observability and system health so the team can confidently ship and support the Core product over time. (This role may include on‑call participation in the future.)

Be a strong cross-team partner

• Collaborate effectively across Engineering, Product, Design, and Support.


• Communicate clearly across time zones and contexts—making decisions understandable and durable.

What Success Looks Like

• Your engineers are growing in skill, confidence, and ownership—and they want to stay