Okay, I've searched for founding full stack product engineer roles in New York, NY within fintech, full-time positions, requiring 5+ years of experience and skills including React and TypeScript. I have found 27 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Founding Full Stack Product Engineer role is fundamentally about pioneering and shaping the core AI-driven fintech product at an early-stage, high-growth startup. The individual is expected to own end-to-end product development life cycles, translating complex, unstructured financial data into user-friendly, intuitive interfaces that empower both consumer and enterprise users. Given the startup’s mission to merge advanced large language model (LLM) agents with deep financial infrastructure, the engineer must navigate highly technical challenges involving real-time decision systems and seamless human-AI interactions. Collaboration is critical, spanning AI, data, and backend teams, which suggests a fast-paced environment with complex stakeholder integration. Success here is not just code quality but also product intuition—delivering impactful, scalable features that break new ground in fintech workflows typically requiring large teams. The emphasis on a strong technical portfolio, React and TypeScript expertise, and startup experience signals a need for adaptability, rapid learning, and pragmatic problem solving amid ambiguity. The role demands a strategic thinker who balances technical ownership with product vision and contributes to company culture during a pivotal growth phase.

Company Analysis:

Jobot positions itself as a disruptor in the recruiting and staffing space by blending AI with human expertise, signaling a culture that highly values innovation, respect, and kindness. Having recently transitioned to employee ownership, Jobot's culture likely emphasizes accountability and inclusiveness, making it a place that fosters long-term career growth in a mission-driven environment. While the company is rooted in recruitment technology, this fintech AI startup operating within Jobot’s ecosystem is in a strong growth trajectory backed by top-tier venture capital, placing the candidate at a juncture of substantial influence and visibility. The environment is likely collaborative but also fast-moving, requiring quick decision-making and alignment with founders and early design partners. This role not only demands technical excellence but also cultural embodiment of transparency and trust in a close-knit team. Strategically, this hire is foundational—meant to elevate the product from concept to market-ready solution and scale the engineering organization, enabling the company’s ambitious expansion in AI-powered fintech.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you led the development of a complex product feature end-to-end. How did you manage the technical challenges and stakeholder expectations?
• Behavioral: Describe an experience where you had to quickly learn a new technology or domain to deliver a project. How did you approach it?
• Behavioral: Give an example of how you have contributed to shaping your previous company’s culture or technical standards.
• Behavioral: Tell me about a time you worked closely with cross-functional teams, such as data scientists or AI engineers, to deliver a product that required deep collaboration.
• Technical: How have you previously designed user interfaces that integrate with AI-driven backend systems? What were key considerations?
• Technical: Walk me through your process for building scalable full-stack applications using React and TypeScript. How do you ensure code quality and maintainability?
• Technical: How would you approach defining and implementing agent management dashboards that add value to financial professionals?
• Technical: Can you share how you’ve architected real-time decision-making systems or workflows? What technical trade-offs did you consider?
• Situational: Imagine you uncover that the AI agent integration is producing inconsistent outputs that impact end-user trust. How would you diagnose the problem and communicate with the team?
• Situational: If product priorities shift quickly due to market or investor feedback, how would you adjust your engineering roadmap and keep the team aligned?
• Situational: Suppose you identify a major UX flaw in a feature about to ship that could confuse enterprise users. What steps would you take to address this under tight deadlines?
• Company Fit: Why does working at a stealth AI fintech startup excite you, and how do you see your role contributing to its growth and vision?
• Company Fit: Jobot emphasizes kindness and respect in its culture. How do you embody these values in your professional interactions?
• Company Fit: This role interacts directly with founders and early design partners. How comfortable are you shaping product direction collaboratively at such a high level?
• Questions for Interviewer: How does the engineering team currently collaborate with AI and data science teams, and what challenges have you faced in that coordination?
• Questions for Interviewer: Can you share more about the company’s strategic plans for scaling the product and engineering team post-Series A?
• Questions for Interviewer: What are the key cultural attributes that successful employees embody at Jobot, especially within the founding engineering team?