Maya Chen

• Age: 41
• Location: Denver, CO (Berkeley neighborhood)
• Occupation: Staff Platform Engineer / Fractional CTO
• Income: 140000
• Education: MBA, University of Denver
• Company size: 200 (full-time employer) / 1-5 (advisory clients)
• Years in role: 3 (full-time) / 5 (advisory)

“I don't care if you're pre-revenue or pre-product—if you can't tell me what problem you're solving in one sentence, I'm not the right person to help you.”

Maya Chen grew up in the Bay Area as the daughter of Taiwanese immigrants who ran a small printing business. She learned early that margins matter and that technology can either be a tool or a toy. After a computer science degree at UC Davis, she spent six years at a mid-tier SaaS company in San Francisco, climbing from junior engineer to tech lead. The startup bug bit her hard, and she joined a 12-person Series A startup as employee number eight, building their entire data pipeline from scratch. That company was acquired two years later, and Maya walked away with a modest payout—enough for a down payment on her Denver townhouse but not the life-changing wealth she had imagined. The experience taught her two things: she loves the intensity of early-stage building, and she hates equity lottery. She moved to Denver for a change of pace and a lower cost of living, taking a Staff Engineer role at a Series C data infrastructure company. She also earned an MBA from the University of Denver part-time, not to climb the corporate ladder but to understand the business side of the startups she advises. Today, she lives a dual life: by day, she designs APIs and reviews pull requests; by night and on weekends, she acts as a fractional CTO for three pre-seed startups, none of which have raised more than $500K. She charges them a flat monthly retainer that barely covers her dog's food and her trail running shoes, but she does it because she believes deeply in the mission of two of them and because she wants to build a portfolio career that gives her autonomy. She is acutely aware of time—she tracks it with Toggl, blocks deep work hours on her calendar, and has a ruthless triage system for meetings. Money is a tool for her, not a scoreboard; she saves aggressively, invests in index funds and the occasional angel round, and spends guilt-free on travel to see her brother in San Francisco and her parents in Taipei. Status is irrelevant to her; she measures success by whether her code ships cleanly, whether her founders ship faster after talking to her, and whether she can run a half marathon without stopping. She is currently wrestling with the decision to leave her full-time role and go all-in on fractional CTO work, a move that would cut her guaranteed income by half but give her the freedom she craves. She has not made the leap yet because she is methodical and risk-aware, but she has started building the safety net: six months of expenses in cash, a network of 40+ founders who would hire her, and a growing reputation as the engineer who tells founders the truth they don't want to hear.

Background & daily life

A day in their life

Alarm goes off at 5:15 AM. She makes cold brew, takes Pixel for a quick walk, then heads to North Table Mountain for a trail run. Back home by 7:00, she showers, reviews her advisory Slack channels, and prioritizes her day. By 8:30 she's at her desk, starting with a deep work block for her full-time job—code review or architecture design. Lunch is a protein shake while she catches up on Hacker News. Afternoon is meetings: standup, cross-team syncs, and one or two advisory calls squeezed in. She blocks 4-5 PM for focused coding. At 5:30 she takes Pixel for a longer walk, then makes dinner while listening to a podcast. Evening is flexible—sometimes she codes on her side projects, sometimes she reads, sometimes she meets a founder for a drink. She tries to be in bed by 10:00.

Lifestyle

Maya lives alone in a renovated townhouse in Denver's Berkeley neighborhood, sharing the space with her high-energy cattle dog, Pixel. Her mornings start early with a precise routine: cold brew, a 5-mile trail run at North Table Mountain, and a review of her advisory calls for the day. She values her solitude deeply but is a regular at the local coffee shop, where she holds her 'office hours' for founders. Financially, she's disciplined—maxing out her 401k, investing in a few SaaS angel rounds, and budgeting strictly for travel to visit her family in the Bay Area. Her social life revolves around the startup ecosystem: she hosts a monthly dinner for female founders and engineers, and spends her weekends hiking, experimenting with new AI tools, or reading technical papers.

Work life

Her day job is as a Staff Platform Engineer at a Series C data infrastructure company. She spends her days deep in code reviews, designing APIs, and unblocking her team. The pressure is constant—balancing feature velocity with platform stability. She's the person who asks 'why' five times in a meeting until the actual problem surfaces. Her advisory work is a different beast: she takes 1-2 calls a week with founders of pre-seed and seed-stage startups, reviewing their technical architecture, helping them hire their first engineer, or telling them their MVP is too complex. She loves the raw energy of early-stage but is brutally honest about product-market fit. She uses Linear, VS Code, and ChatGPT heavily, and constantly evaluates new tools for developer experience.

How they sound

Maya speaks in a direct, slightly clipped cadence. She uses technical jargon without apology but switches to plain English when she senses confusion. She says 'look' a lot before making a point. She avoids filler words like 'just' or 'actually' and hates when others use them. She is formal in written communication but loosens up in person, especially after a beer. She never says 'I think' when she knows something. She swears occasionally for emphasis but not gratuitously. She tends to interrupt when she sees a logical flaw, then apologizes quickly.