Jaime McCullough

Why this persona fits the audience

Works in a 12-person B2B startup team in London and tracks app launches, competing products, and independent creators as part of weekly market and messaging research. She keeps a spreadsheet of launches, saves examples in Notion, and checks Product Hunt and LinkedIn for patterns across the US and UK.

• Age: 35
• Location: London, UK
• Occupation: Product marketing manager
• Income: GBP 72k
• Education: Master's degree
• Company size: 12
• Years in role: 4

“If I can't measure it or write it down clearly, it probably isn't ready for the market yet.”

Jaime McCullough is a thirty-five-year-old Product Marketing Manager based in London, currently navigating the turbulent waters of a twelve-person B2B startup. Holding a Master's degree in Marketing from a UK university, she entered the tech sector seven years ago and has since honed a niche in helping early-stage companies find their voice in a saturated marketplace. Her career trajectory is defined by a relentless pursuit of clarity; she believes that in a world of noise, the ability to synthesize complex market data into a coherent narrative is the most valuable asset a marketer can possess. Currently, Jaime is embedded in the daily grind of a lean team where roles blur. Her workspace is a testament to her organizational philosophy: a dual-monitor setup flanked by a meticulously maintained Notion dashboard and a sprawling, multi-tabbed Excel workbook that tracks hundreds of app launches, feature updates, and creator movements across the Atlantic. She dedicates significant time each week to manual reconnaissance, scouring Product Hunt, LinkedIn, and various niche forums to identify patterns that larger competitors might miss. This hands-on approach has become a double-edged sword; while it gives her unparalleled insight, it also leaves little time for strategic long-form planning. Financially, Jaime is pragmatic. Earning £72,000 annually, she manages a household budget with the same rigor she applies to her work, viewing financial stability as a foundation for risk-taking in her career. She is ambitious, eyeing a leadership position within the next few years, but she is acutely aware of the volatility inherent in the startup ecosystem. Recently, she made the decision to automate parts of her data collection process, realizing that the manual entry of launch details was becoming a bottleneck. However, she remains skeptical of off-the-shelf solutions that promise automation without transparency, often sticking to her own custom-built systems until she finds a tool that truly matches her specific workflow requirements. To her peers, she is the person who knows exactly what launched last Tuesday and why it mattered.

Background & daily life

A day in their life

Jaime wakes at 6:30 AM, immediately checking her phone for overnight activity from US-based startups. After a quick run and a coffee made with precision, she opens her laptop by 8:15 AM. The morning is dedicated to 'deep work': updating her master launch tracker, scanning Product Hunt for the top ten apps of the previous night, and archiving screenshots into Notion. By 10:00 AM, the war room meeting begins, where she presents a brief on a competitor's pricing shift. The afternoon is fragmented by Slack pings, drafting email sequences for an upcoming beta launch, and interviewing two users for feedback. She spends her commute home listening to a podcast on founder resilience, using the train ride to mentally decompress before returning to a quiet evening of writing blog posts or planning the next day's research agenda.

Lifestyle

Jaime lives in a vibrant, slightly chaotic flat in Shoreditch, balancing her professional intensity with a need for calm. Her weekends are split between active socializing with her tight-knit group of creative friends in East London and solitary time spent writing or reading about tech trends. She is financially disciplined, saving aggressively for a potential future property purchase while enjoying occasional splurges on high-quality kitchenware or travel to tech conferences. Her routine prioritizes health; she runs three times a week to clear her head, viewing physical movement as essential for maintaining mental clarity in a high-pressure role. Money is managed with spreadsheets, reflecting her professional habits even in personal finance.

Work life

As one of twelve people in a fast-moving B2B startup, Jaime wears multiple hats, though her core focus remains product marketing. Her day is a constant juggle of analyzing competitor moves, drafting launch copy, and synthesizing data into actionable insights for the founders. She relies heavily on Notion for documentation and maintains a sprawling, color-coded Excel sheet tracking every major app launch across the US and UK markets. The pressure is palpable; with limited resources, every campaign must hit hard and fast. She spends hours cross-referencing Product Hunt trends with LinkedIn engagement metrics, trying to spot the next big wave before it breaks. Collaboration is key, but often requires her to bridge gaps between engineering skepticism and sales enthusiasm.

Relationships

Jaime's closest circle consists of fellow marketers and founders she met through industry meetups and Slack communities. She maintains strong ties with her university alumni network, which occasionally provides job leads or collaborative opportunities. While she is married to a graphic designer who understands her work rhythm, they sometimes struggle to disconnect from 'hustle mode' at home. Her primary influence comes from senior leaders in the SaaS space whose careers she has followed closely, rather than traditional corporate mentors.

How they decide

She operates as a cautious researcher who values evidence over emotion. Decisions are rarely impulsive; instead, she gathers data points, consults her extensive internal notes, and seeks peer validation before committing to a new approach or tool. She prefers solutions that offer immediate clarity and structured outputs, avoiding anything that feels like a black box or requires a steep learning curve without clear utility.

How they sound

Her speech is crisp, efficient, and devoid of filler words. She uses industry terminology naturally but avoids jargon when speaking to non-technical audiences. There is a slight cadence of urgency, as if she is always thinking about the next deadline. She tends to say 'let's validate that' or 'the data suggests' rather than 'I feel.' She avoids making absolute claims unless backed by her spreadsheets, preferring qualifiers like 'likely' or 'based on current trends.'