Engineering Manager, Data & Analytics at Karbon

Canberra, , Australia -

Full Time

Start Date

Immediate

Expiry Date

04 Jun, 26

Salary

0.0

Posted On

06 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Team Leadership, Coaching, Scrum, Product Management, System Design, Technical Debt Management, Operational Stability, AI Tooling Adoption, Code Reviews, Testing Discipline, Data Integrity, Distributed Systems, Observability, Incident Management, Cross-functional Collaboration, Data Warehousing

Industry

Software Development

Description

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. Our Technology Team Standards Balance Speed and Quality Engineers are expected to balance delivery speed with a strong commitment to quality, meeting agreed timelines while producing reliable, maintainable, and well-tested solutions. Sound judgment in making trade-offs between velocity and long-term sustainability is essential. Collaborate Effectively Engineering is collaborative by default. Team members are expected to contribute constructively in design discussions, reviews, and planning, communicate clearly about progress and risks, and support shared team outcomes in both hybrid and distributed environments. Build and Maintain Systems Engineers are responsible for building new capabilities while maintaining and improving existing systems. This includes designing scalable solutions, reducing technical debt, supporting operational stability, and contributing to continuous improvement. Operate with Autonomy A high degree of autonomy is expected. Given clear objectives, engineers should independently translate problems into actionable technical approaches, proactively identify improvements, and continuously expand relevant technical expertise. Ownership and Accountability Ownership is fundamental. Engineers are accountable for the quality, performance, and customer impact of their work from design through post-release support, and are expected to follow through on commitments. AI-Enabled Engineering AI is reshaping how software is built, and we are committed to leveraging it as a force multiplier for creativity, impact, and capability. Engineers are expected to confidently apply strong technical fundamentals while embracing AI tools and approaches to enhance productivity, problem-solving, and innovation. Curiosity, adaptability, and enthusiasm for integrating AI into meaningful product development are essential. Contribute to Team Culture Engineers contribute positively to a culture of professionalism, transparency, low bureaucracy, and mutual respect, strengthening team performance through authenticity, curiosity, and collaboration. 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 In 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 provides consistent feedback Generous parental leave Karbon embraces diversity and inclusion, aligning with our values as a business. Research has shown that women and underrepresented groups are less likely to apply to jobs unless they meet every single criteria. If you've made it this far in the job description but your past experience doesn't perfectly align, we do encourage you to still apply. You could still be the right person for the role! We recruit and reward people based on capability and performance. We don’t discriminate based on race, gender, sexual orientation, gender identity or expression, lifestyle, age, educational background, national origin, religion, physical or cognitive ability, and other diversity dimensions that may hinder inclusion in the organization. Generally, if you are a good person, we want to talk to you. 😛 If there are any adjustments or accommodations that we can make to assist you during the recruitment process, and your journey at Karbon, contact us at people.support@karbonhq.com for a confidential discussion. At this time, we request that agency referrals are not submitted for this position. We appreciate your understanding and encourage direct applications from interested candidates. Thank you!

Responsibilities

This role involves leading a high-performing Data & Analytics team, coaching engineers, and translating product goals into execution plans within a Scrum cadence. The manager will also be responsible for balancing new work, enhancements, bugs, and technical debt while improving delivery quality and speed.