<div class="content-intro"><p><strong>About Karbon</strong></p> <p style="text-align: left;">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.</p></div><h4><strong>About the Role</strong></h4> <p>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.</p> <p><em>Team vision: “Enable rapid innovation through a unified data platform”</em></p> <h4>Lead a high-performing, healthy team</h4> <ul> <li>Coach and grow engineers through clear expectations, regular feedback, and thoughtful development plans.</li> <li>Create an environment where engineers can do focused work, collaborate effectively, and keep improving—without heroics or burnout.</li> <li>Help build a strong team culture that values autonomy, accountability, and craftsmanship.</li> <li>Help the team thoughtfully adopt AI-assisted tooling across the software delivery lifecycle to improve developer productivity and code quality.</li> <li>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.</li> </ul> <h4>Deliver meaningful outcomes in Scrum</h4> <ul> <li>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).</li> <li>Manage a multi-million dollar product, growing our top and bottom line while improving platform stability</li> <li>Balance new work, enhancements, bugs, maintenance, and technical debt with sound judgment and transparent trade-offs.</li> <li>Improve delivery quality and speed over time by reducing friction, improving clarity, and continuously strengthening engineering practices.</li> </ul> <h4>Raise the bar for engineering excellence</h4> <ul> <li><strong>Champion strong development practices</strong>: code reviews that teach, testing discipline, pragmatic documentation, and maintainable implementations.</li> <li><strong>Encourage “analytical” thinking </strong>- creatively solving data problems for our customers is at the heart of this role.</li> <li><strong>Champion “you build it, you own it” </strong>- Deliver product while balancing technical health</li> </ul> <h4>Build operational strength (without creating toil)</h4> <ul> <li>Help the team build healthy on-call and operational practices, including ownership, runbooks, sensible alerting, and effective incident follow-up.</li> <li>Lead blameless incident reviews focused on learning and systemic improvements.</li> <li>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.)</li> </ul> <h4>Be a strong cross-team partner</h4> <ul> <li>Collaborate effectively across Engineering, Product, Design, and Support.</li> <li>Communicate clearly across time zones and contexts—making decisions understandable and durable.</li> </ul> <h4><strong>What Success Looks Like</strong></h4> <p>In this role, success typically means:</p> <ul> <li>Your engineers are growing in skill, confidence, and ownership—and they want to stay on your team.</li> <li>The team ships consistently with high quality, and reliability improves quarter over quarter.</li> <li>Technical decisions make the analytics product easier to evolve (not harder).</li> <li>Cross-functional partners trust your team because expectations, trade-offs, and delivery are clear.</li> </ul> <h4><strong>Our Tech Stack!</strong></h4> <ul> <li><strong>Data Warehousing:</strong> Databricks and Snowflake.</li> <li><strong>ELT</strong>: Fivetran, DLT, DBT</li> <li><strong>Visualisation</strong>: PowerBI Embed</li> <li><strong>Backend</strong>: C# (.NET)</li> </ul> <h4> </h4> <h4><strong>About You-- What Sets You Apart!</strong></h4> <ul> <li>Previously a Senior+ IC before moving into management (preferably as a data engineer or analytics engineer) .</li> <li>2+ years experience in Engineering Management.</li> <li>Proven record leading teams to improve quality and speed through technical + process change.</li> <li>Depth in distributed systems and data integrity at scale.</li> <li>Skill planning and delivering sprints with Product and Tech Leads, balancing new work, enhancements, bugs, and maintenance.</li> <li>Excellent communication across locations/time zones.</li> <li>Experience in large scale, multi-cloud data warehousing migrations.</li> <li>Degree in CS or equivalent experience.</li> <li style="fo