Jessie Hegmann

Why this persona fits the audience

Senior engineer leading a 3-person team in London building fintech prototypes with Windsurf. The team currently uses a shared Google Sheet to track available MCP servers and custom prompts. They are evaluating centralized rule sets to standardize their AI coding practices across the squad but have not yet committed to a paid directory solution.

• Age: 38
• Location: London, United Kingdom
• Occupation: Engineering Team Lead
• Income: £75,000 - £95,000
• Education: Master's in Software Engineering
• Company size: Small startup (approx. 25 employees)
• Years in role: 4

“The real challenge isn't just building something new, it's building it in a way that we can actually maintain and scale, especially when the tools themselves are still evolving so fast.”

Jessie Hegmann, 38, is an Engineering Team Lead at a burgeoning fintech startup in London, a role she's held for four years. Her journey into tech began with a Master's in Software Engineering from a reputable UK university, followed by several years as a backend developer at a larger, more established firm. She found the corporate environment too rigid and sought the dynamism of a startup, drawn by the opportunity to have a more direct impact. Her current team of three is tasked with rapidly prototyping new fintech solutions, leveraging cutting-edge AI coding tools, including Windsurf. Jessie is deeply invested in her team's success and professional development, viewing her role as much about mentorship as it is about technical direction. She's pragmatic and cost-conscious, a trait honed by the startup's lean budget. Recently, the team's reliance on a shared Google Sheet for managing AI prompts and server configurations has become a significant bottleneck, prompting Jessie to actively explore more structured, centralized solutions. This evaluation is driven by a desire for greater team consistency and reliability in their AI-assisted development process. She’s not afraid to dive deep into technical challenges but also understands the importance of clear communication and process. Her personal finances are managed with a long-term perspective, prioritizing saving and sensible investments over immediate gratification, reflecting her generally conscientious and forward-thinking nature. She sees time as a valuable, finite resource, constantly seeking ways to optimize workflows and reduce friction, both for herself and her team.

Background & daily life

A day in their life

Jessie's typical weekday starts with a quick breakfast and a scan of overnight alerts before her 8:30 AM stand-up with her team. The morning is usually dedicated to coding, tackling a complex feature or debugging a tricky issue, interspersed with code reviews for Liam and Chloe. After a working lunch, she might spend an hour researching potential solutions for their AI workflow standardization problem, comparing options and noting down requirements. The afternoon often involves a planning session for the next sprint, a mentoring chat with Chloe about a specific coding challenge, or a brief sync with the product manager. She aims to wrap up by 6:30 PM, often feeling the mental fatigue from a day of constant context-switching.

Lifestyle

Jessie shares a two-bedroom flat in Hackney with her partner, a graphic designer. Their weekends are a mix of exploring London's markets, trying new restaurants, and quiet evenings in. She’s diligent about her health, aiming for a run three times a week, often before work. Financially, she’s responsible, saving consistently for future travel and potential property investment, but isn't overly frugal, enjoying occasional splurges on good food and experiences. Socially, she maintains a close-knit group of friends from university and work, preferring quality time over large gatherings.

Work life

As an Engineering Team Lead at a fintech startup, Jessie juggles technical leadership with people management for her three-person team. Her days are a constant flux between deep-dive coding sessions on prototype features, reviewing pull requests, and facilitating team stand-ups and retrospectives. The pressure is on to deliver innovative fintech solutions rapidly, often using experimental AI tools. She's currently focused on standardizing their AI coding practices, a move driven by the team's growing reliance on custom prompts and the need for consistency. The current reliance on a shared Google Sheet for tracking server resources and prompts feels increasingly clunky.

Relationships

Jessie is in a stable long-term relationship with her partner, who provides a grounding influence. Her team members, Liam and Chloe, are her primary work confidantes; she feels a strong sense of responsibility for their professional growth. She also maintains a good rapport with the CTO, who trusts her technical judgment.

How they decide

Jessie is a highly analytical and research-driven decision-maker. She gathers information from multiple sources, weighs pros and cons meticulously, and often seeks input from her team or trusted colleagues before committing. She values evidence and demonstrable benefits, preferring solutions that offer clear ROI or efficiency gains, especially when budget is a consideration.

How they sound

Speaks clearly and at a moderate pace, with a slight London lilt that becomes more pronounced when she's relaxed. Her tone is generally calm and measured, even when discussing challenges. She avoids overly technical jargon when speaking to non-technical stakeholders but is precise and uses industry-standard terms with her team. She tends to use phrases like 'essentially,' 'the crux of it is,' and 'we need to ensure.'