[Hiring] Analytics Engineering Manager @LawnStarter

Role Description

You'll be the first person at LawnStarter dedicated to data governance, the owner of whether our data can be trusted, and of the roadmap that makes it more trustworthy every quarter. Trust means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. The roadmap means sitting with product, marketing, ops, and finance to understand what the business needs from data, turning that into priorities for the platform, and sequencing the work, yours and, soon, your team's.

This is a hands-on role, every manager at LawnStarter builds, and this one is no exception. You'll start solo, with the Analytics team around you: building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. Once you've landed, we open a Lead Analytics Engineer role reporting to you, you'll help choose them, and the function grows from there as scope demands.

What makes this role different:

• You're first. Governance has been everyone's side job, so what exists today is yours to reshape, keep what works, redesign what doesn't, and your standards become the company's standards.
• You own the roadmap, not a backlog. Nobody hands you requirements, you discover what the business needs from data and decide what gets built, in what order, and why.
• Whole-stack ownership. Source data to pipelines to dashboards and ML models, you own trust across the entire chain, not one slice of it.
• A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later.

Qualifications

• Governance is your craft, not your chore.
• AI-native. You use AI tools daily to build quality checks, write automation, triage anomalies, and document as you go.
• A hands-on manager. You've been accountable for other people's output and never stopped building yourself.
• Product-minded. You start from what the business is trying to decide.
• Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist.
• An enforcer people actually like.

Requirements

• Turn business needs into a data roadmap.
• Make the Lightdash migration a step-change, not a re-platforming.
• Finish and defend the semantic layer.
• Tame event-tracking entropy.
• Get ahead of breakage instead of chasing it.

Benefits

• Base salary: $75k–$120k/year.
• Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment.
• Flexible PTO: We focus on results. Take what you need.