Engineering Manager, Data & Analytics

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.

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”

• 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

• 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.)

• Collaborate effectively across Engineering, Product, Design, and Support.
• Communicate clearly across time zones and contexts—making decisions understandable and durable.

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.

• Data Warehousing: Databricks and Snowflake.
• ELT :
  Fivetran, DLT, DBT
• Visualisation :
  PowerBI Embed
• Backend : C# (.NET)

• Previously a…