Alexandrine Gauthier

Why this persona fits the audience

She and a partner run a two-person side studio, comparing failed workflow tools, acquisition write-ups, and product screenshots to identify one legacy category that could be relaunched with AI. Most of the filtering happens in Sheets and shared docs during late-night planning sessions.

• Age: 39
• Location: Paris, France
• Occupation: Product director at a digital studio
• Income: €84k
• Education: Diplôme d'ingénieur
• Company size: Works at a mid-sized digital agency (approx. 60 employees); runs a solo venture with a co-founder who is a former backend engineer.
• Years in role: 7

“You don't need to invent the wheel again; you just need to realize it was made of wood instead of steel, and now we can build it with carbon fiber.”

Alexandrine Gauthier is a 39-year-old Product Director residing in Paris, France, operating at the intersection of traditional product management and the emerging frontier of AI-driven entrepreneurship. Holding a Diplôme d'ingénieur from a prestigious French engineering school, she spent the last seven years climbing the ranks in the digital agency sector, mastering the complexities of legacy system modernization and client-facing product strategy. Her annual income of €84k provides financial stability, but her true ambition lies in her role as the co-founder of a two-person side studio. This venture is not a hobby but a serious, data-intensive operation focused on identifying undervalued legacy categories ripe for AI transformation. Her methodology is distinctively analytical. Rather than chasing hype, she and her partner engage in deep forensic analysis of failed startups, acquisition write-ups, and historical product screenshots. Their workspace is dominated by complex Google Sheets and shared documentation, where they meticulously filter thousands of data points to isolate a single viable opportunity. This process requires immense patience and structural rigor, traits honed during her engineering education and refined through years of corporate leadership. Recently, she made the critical decision to pivot her side project's focus from a broad SaaS approach to a specialized workflow tool, betting on the leverage of generative AI to solve a decades-old inefficiency in the supply chain sector. Alexandrine's life is a careful calibration of time and energy. She balances the demands of a full-time executive role with the unpredictable needs of a startup, often sacrificing sleep and weekends for late-night planning sessions. Despite the intensity, she remains grounded by her love for structure and quality, refusing to compromise on the integrity of her work. She is skeptical of quick fixes and prefers slow, deliberate validation. In a world obsessed with speed, she represents a counter-movement: the thoughtful builder who believes that the most valuable innovations come from re-examining what has already been tried, but done better.

Background & daily life

A day in their life

The alarm goes off at 6:00 AM. Alexandrine wakes up immediately, pours a coffee, and checks her phone for overnight updates from US-based startup communities. After a quick workout or a walk in the local park, she prepares a simple breakfast and heads to the Metro station. At the office, she navigates a sea of Slack notifications, attends stand-ups, and leads a sprint review, constantly shifting between strategic oversight and tactical problem-solving. Lunch is usually a solitary affair at a nearby bistro, used to read a long-form article on market trends. By 7:00 PM, she leaves the office, often stopping at a grocery store for ingredients. Home at 8:30 PM, she settles into her home office. From 9:00 PM to 1:00 AM, she and her partner analyze acquisition data in spreadsheets, debating feature sets and AI integration points. They document their findings in a shared Notion doc, refine their thesis, and then collapse into bed, exhausted but mentally stimulated by the day's discoveries.

Lifestyle

Alexandrine lives in a sunlit, minimalist apartment in Paris's 11th arrondissement, filled with plants she tends to obsessively every morning before work. Her routine is highly structured: early rises, a commute via the Metro where she reads industry reports, and evenings dedicated to her side project. She prioritizes health through cycling along the Seine and cooking elaborate French meals, viewing food as a necessary reset rather than a chore. Financially, she is prudent; while she earns a solid salary, she reinvests heavily into her side venture and maintains a six-month emergency fund, avoiding lifestyle inflation despite her income. Socially, she curates a small circle of like-minded founders and engineers, preferring deep conversations over crowded networking events.

Work life

By day, Alexandrine steers product roadmaps at a bustling digital studio, managing cross-functional teams and navigating client expectations for legacy modernization projects. Her days are fragmented by meetings, yet she carves out specific blocks for deep work on architecture reviews. By night, the dynamic shifts entirely; she collaborates with her partner via encrypted channels and shared Google Sheets, dissecting the anatomy of dead startups. The pressure is internal and relentless, driven by the fear of building something nobody wants. She spends hours manually tagging features in spreadsheets, trying to find patterns in failure that others miss, often working until midnight when the city finally quiets down.

Relationships

Alexandrine is the anchor of her immediate social circle, often organizing dinner parties for fellow founders who understand the unique grind of balancing a job and a startup. She has a close, platonic relationship with her co-founder, built on years of professional trust and shared intellectual curiosity. Her family, based in Lyon, visits quarterly; they provide emotional grounding but lack context for her specific business ambitions. She values mentors who have successfully exited, though she rarely asks for direct advice, preferring to synthesize their lessons independently.

How they decide

Decisions are made through a rigorous, iterative process of hypothesis testing and data triangulation. She avoids impulsive choices, preferring to gather extensive qualitative and quantitative evidence before committing resources. Peer influence matters, but only if backed by logical consistency and proven frameworks. She is willing to pivot quickly if the data contradicts her initial assumptions, but once a path is chosen, she executes with disciplined focus.

How they sound

Her speech is precise, measured, and articulate, reflecting her engineering background. She speaks standard French with occasional English technical terminology inserted naturally, particularly regarding AI models and SaaS metrics. She avoids hyperbole, preferring concrete verbs and specific nouns. When discussing ideas, she uses phrases like 'Let's validate the assumption' or 'The signal-to-noise ratio is low.' She rarely uses slang, maintaining a professional tone even in casual settings, but softens it with warmth when discussing personal interests. She avoids saying 'I think' in favor of 'The data suggests' or 'Based on our analysis.'