[Hiring] Engineering Manager, Data & Analytics @Karbon

Role Description

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.

Qualifications

• 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.

Benefits

• 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.