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From SOMA Garage to City Employer: How One Local Tech Founder Built San Francisco's Fastest-Growing Job Machine

A SoMa-based startup founder is reshaping the Bay Area's employment landscape by prioritizing hiring from underrepresented communities and proving that ethical hiring practices can drive explosive growth.

By San Francisco Business Desk · Published 1 July 2026, 1:05 pm

2 min read

From SOMA Garage to City Employer: How One Local Tech Founder Built San Francisco's Fastest-Growing Job Machine
Photo: Photo by Gildo Cancelli on Pexels

When Maya Chen opened her first office on Folsom Street in SoMa three years ago, San Francisco's job market was in flux. The city had shed thousands of positions during the broader tech slowdown, and employment centers like the Financial District and Mid-Market were struggling to attract talent. Today, her company, DataWeave, employs 340 people across three San Francisco locations—with plans to hire 200 more by year's end.

What sets DataWeave apart isn't just its rapid expansion in a competitive market. It's Chen's deliberate focus on hiring practices that challenge San Francisco's persistent employment gaps. The company has committed to filling 60% of new positions from the city's underrepresented communities—a threshold that has made DataWeave a model for how Bay Area businesses can address both workforce shortages and equity simultaneously.

"San Francisco's economy depends on people feeling they belong here," Chen explained during a recent event at the Commonwealth Club in downtown. "When you exclude talent pools, you're not just missing candidates—you're weakening the entire ecosystem."

The numbers back her philosophy. DataWeave's average starting salary for entry-level positions is $72,000, roughly 15% above the city's median for comparable roles. The company also covers 100% of tuition for employees pursuing relevant certifications. By 2025, Chen's initiative had placed 127 people from community organizations like Year Up Bay Area and CCSF's tech training programs into full-time roles.

The impact ripples through neighborhoods often overlooked in San Francisco's boom-and-bust cycles. DataWeave's expansion has driven foot traffic to surrounding businesses in SoMa and helped stabilize commercial real estate in the area, where vacancy rates had climbed to 18% just two years ago.

Chen's approach contrasts sharply with hiring practices common during the city's previous tech booms, when talent acquisition often relied on narrow networks and premium salaries that widened inequality rather than bridging it. Today, as San Francisco grapples with a net loss of corporate headquarters and growing pressure to diversify its economy beyond technology, Chen's model offers a counterweight.

With local unemployment hovering near 3.2%—below the national average but masking deeper disparities—business leaders like Chen are proving that intentional hiring strategies aren't a charitable add-on. They're a competitive advantage, driving retention, innovation, and the kind of community stability that keeps businesses rooted in San Francisco when elsewhere beckons.

This article was compiled by AI and screened before publishing. See our editorial standards.

Topic:#Business

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