Lead Software Development Engineer
Amperity
| Company | Amperity |
| Category | Engineering |
| Location | Seattle |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 27 Mar 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Amperity—Why This, Why Now
Most customer data is a lie by omission.
Every consumer brand wants to know its customers. Unfortunately, almost none actually do. Data is scattered across a dozen systems, half of it contradicts the other half, and "insights" teams are forced to act on incomplete guesses. We started Amperity ten years ago because that gap—between what a brand believes about its customers and what is true—is the most expensive problem in the industry, and nobody had solved it.
With a lot of hard work and a little bit of luck, we did. Our patented identity resolution takes billions of messy, conflicting records and resolves them into an accurate picture of a real human being—in hours, not months. That’s not a feature; it’s the foundation everything else stands on. It’s why more than 400 brands —like Alaska Airlines, Wyndham Hotels & Resorts, DICK’S Sporting Goods, Virgin Atlantic, and Brooks Running—trust us with the one thing they can’t afford to get wrong, and why IDC named us a Leader in the category in 2026.
Now we’re doing something harder. We’re rebuilding Amperity as an AI-first company—not bolting a chatbot onto old software, but putting agents at the center of how customer data actually gets used. We shipped the industry’s first identity resolution agent, then the first enterprise Customer Data Agent that turns a plain-language question into a live segment without waiting on an engineering queue. The bet underneath all of it is simple, and we think it’s correct: The potential of AI will not be realized for a brand until it’s grounded and activated against a true, unified view of the customer. The market at-large is focused on intelligence, and we are focused on being the ones who can make it trustworthy.
So here’s the honest pitch. If you want a tour of a category that’s already been figured out, this isn’t it. If you want to help decide what the next version of an entire industry looks like—alongside people who are remarkably exceptional at what they do, solving a problem that requires deep, sustained focus—this is one of the few places that work exists. Our goal is to build a highly impactful, generational business.
We measure our success by one standard: whether what we build moves the business. Return on cognition, not return on hype. If that’s how you want to be measured, we would love to speak with you.
The Team
You'll join Loom, the largest team at Amperity and the one at the heart of the platform. Loom owns the primary services that define what Amperity is: identity resolution, real-time customer profiles, streaming data ingestion, and the foundational libraries that the engineering department builds on. If Amperity is an operating system for customer data, Loom is the kernel.
Over the last year, the Loom team has built out the first version of the real-time stream processing to accompany the battle-hardened core batch processing system. In your first year, the highest-priority goal is to help the teams apply the lessons learned thoughtfully to the broader platform. This is not a greenfield rewrite. It is the more interesting and more demanding challenge of evolving a large platform, without breaking what our customers depend on.
Loom operates with a large surface area and the work matters directly to customers. We expect our engineers to be AI-forward, using AI tooling to remove barriers and bringing clear judgment about where it can and cannot move the needle. You will report to the Senior Manager, Loom.
Interesting Problems
We're solving tough problems at the intersection of large-scale data, AI, and user experience. Some of the challenges you will work on include:
You will lead the effort to unify batch and real-time event processing across core platform services.
You will manage a large, mature codebase and develop a clear strategy for which technical debt to carry, which to pay down, and which to
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