Analytics Engineer
US$175,000 – US$190,000 / yr base salary
Posted 31 Jul 2026
Advertised as “Staff Analytics Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Full-time
| Base salary | US$175,000 – US$190,000 / yr |
|---|
About Topline Pro
We’re building AI powered Shopify for service businesses. We help service pros (e.g., roofers, landscapers, painters, cleaners) acquire direct business, fast. Up and running within minutes using Gen AI, our digital storefront products help pros get discovered, trusted, and booked repeatedly.
Topline Pro is co-founded by Nick Ornitz (CEO) and Shannon Kay (CPO) with an excellent team of 80+ rockstars with plans to expand more in 2025. We serve thousands of local service businesses and were named as one of the 2023 and 2024 top 50 Tech Companies building for SMBs.
We're YC-backed and well funded with several years of runway, and we’ve experienced rapid growth in the past year. We're in a phenomenal position to scale—with the financial foundation, product-market fit, and momentum to go big. You’ll be joining at an inflection point—where the groundwork is laid and the path to massive impact is clear.
We believe “great candidates” do not come about through simply a checkmark next to past experiences. We believe in hiring people not just skills. Even if you do not check every box but find excitement at the prospect of working with us in this capacity, please apply.
📣 Role Summary
We're hiring a Staff Analytics Engineer to take ownership of how data is modeled, organized, and scaled at Topline Pro. You'll be responsible for building the data assets that sit at the core of our business—turning information from systems like Stripe, Twilio, Dialpad, Salesloft, HubSpot, and others into clean, trustworthy data models. Your work will give teams across the company confidence in the numbers and the ability to make better, faster decisions.
This is a senior, hands-on role at the intersection of engineering, analytics, and business strategy. You'll shape the way data flows through the company and ensure we have the right foundation to measure performance, experiment, and grow.
What you’ll do
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Own the centralized data assets that serve as the source of truth for the company's most important operational questions, including their governance and quality guarantees.
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Design scalable data architectures and well-modeled dbt/Snowflake layers that stay performant across SaaS-scale datasets.
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Model Stripe data with precision — payments, subscriptions, revenue, and related financial flows.