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Why I Joined Valon: Designing Systems That Scale from the Ground Up

Charles Wong · August 11, 2025

I've spent my career across industries—from food delivery and vertical farming to insurance technology, healthcare, real estate, and mortgage servicing. It might sound scattered, but there's a common thread: I thrive when solving messy, complex operational challenges that demand structure and clarity. I'm drawn to environments where manual processes dominate and where scale is both the goal and the obstacle.

What I Learned from Uber Eats

My most formative experience came at Uber Eats, where I joined the restaurant team during its explosive global expansion. When I started, we were still distributing tablets manually to restaurant partners. By the time I left, we were onboarding thousands of new restaurants every week across dozens of international markets.

The scaling challenges were relentless. How do you programmatically handle tax and fee calculations across different jurisdictions? How do you retain your best restaurant partners while still growing aggressively? How do you build systems that support market-specific restaurant selection and onboarding while keeping quality consistent?

At peak, I was managing 50,000 to 100,000 restaurants across distributed teams. The pace was wild, but the lessons were lasting: move fast, stay close to the work, and build with scale in mind. When I left, I was looking for an earlier-stage opportunity where I could help establish those foundational systems from the start.

Finding That at Valon

Mortgage servicing is one of the most complex and heavily regulated industries out there. Most players rely on outdated systems and manual workarounds—spreadsheets, legacy software, duct-tape processes. That's exactly the kind of environment where I knew there was room to build something meaningfully better.

At Valon, I lead the Escrow team, which handles property taxes, insurance claims, and vendor integrations. It's a domain that requires software to be precise, scalable, and flexible—capturing real-world conditions accurately while eliminating manual operator work wherever possible.

Every day, we're asking ourselves: Does our data model reflect reality? Are we capturing the right information about property layouts, tax parcels, insurance coverage, and home values? How do we automate without sacrificing accuracy?

Building With (Not Just For) Operators

One of the things that makes Valon different is how closely product, engineering, and operations work together. We're not building in isolation—our operators are partners in the process. That tight feedback loop means we can iterate quickly and see the impact of our work almost immediately.

We don't always get it right on the first try, and that's okay. What matters is that we share ownership of the outcome. When something doesn't work, we figure it out together.

Why Join Valon Now

Valon is at an inflection point. We're simultaneously launching new initiatives and scaling what already works. We're integrating AI in meaningful ways—not as a gimmick, but as a tool to solve real problems. We're using the best tools available and hiring people who care about getting it right.

What Makes Valon Different

The people. High talent, low ego, and a bias for action. Everyone I work with is kind, sharp, and deeply collaborative. You're trusted with real ownership, and you're supported when you need it.

I've been chasing the energy I felt at Uber Eats ever since I left. I finally found it again at Valon.

Filed under:Inside Valon

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