21 Oct
|
Matchbox
|
Sydney
# Engineering Manager, Data & AnalyticsKarbonOn-site
• Sydney, NSW, AustraliaFull-time## Role OverviewAbout KarbonKarbon 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, Recent 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 WorkplacesTM 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 healthBuild 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 LikeIn this role, success typically means
* Your engineers are growing in skill, confidence, and ownership—and they want to stay on your team.
* The team ships consistently with high quality, and reliability improves quarter over quarter.
* Technical decisions make the analytics product easier to evolve (not harder).
* Cross-functional partners trust your team because expectations, trade-offs, and delivery are clear.
Our Tech Stack
* Data Warehousing: Databricks and Snowflake.
* ELT: Fivetran, DLT, DBT
* Visualisation: PowerBI Embed
* Backend: C# (.
NET)About You-
- What Sets You Apart
* Previously a Senior+ IC before moving into management (preferably as a data engineer or analytics engineer) .
* 2+ years experience in Engineering Management.
* Proven record leading teams to improve quality and speed through technical + process change.
* Depth in distributed systems and data integrity at scale.
* Skill planning and delivering sprints with Product and Tech Leads, balancing new work, enhancements, bugs, and maintenance.
* Excellent communication across locations/time zones.
* Experience in large scale, multi-cloud data warehousing migrations.
* Degree in CS or equivalent experience.
* Plus if you have accounting domain experience.
Why Work at Karbon?
* Gain global experience across the USA, Australia, New Zealand, UK, Canada and the Philippines
* 4 weeks annual leave plus 5 extra "Karbon Days" off a year
* Flexible working environment
* Work with (and learn from) an experienced, high-performing team
* Be part of a fast-growing company that firmly believes in promoting high performers from within
* A collaborative, team-oriented culture that embraces diversity, invests in development, and provid
📌 Engineering Manager, Data (Sydney)
🏢 Matchbox
📍 Sydney