Okay, I've searched for Senior Software Engineer (Back-End) roles that are fully remote, require 7+ years of experience, involve Python and PostgreSQL skills, and are in AI or SaaS industries. I have found 127 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Software Engineer (Back-End) role is fundamentally about architecting and maintaining complex backend systems that power an innovative AI/ML platform handling large and sophisticated datasets. The candidate is expected to bring not only deep technical expertise—especially 7+ years in scalable SaaS environments and strong proficiency with Python and PostgreSQL—but also a highly product-oriented mindset that can creatively solve core problems in computational expression generation and data modeling. Given the company's focus on AI, the ability to integrate AI tools and coding assistants directly into daily engineering workflows is crucial, reflecting a culture of leveraging automation to boost productivity. Success in this role means thriving in ambiguity, owning projects with significant autonomy, and enabling teammates through unblocking and technical guidance, all while embracing pragmatic engineering practices like iteration, high code quality, and thorough testing. Remote and asynchronous communication skills are essential, as is the capacity to make impactful decisions independently in a fast-evolving startup environment. Ultimately, this role demands a blend of technical depth, strategic problem-solving, and the initiative to influence both product and process outcomes in a cutting-edge AI startup context.

Company Analysis:

Jobot occupies a unique niche as an innovative, employee-owned startup that combines AI capabilities with human-centric recruiting and staffing services. Having transitioned to employee ownership recently, the company emphasizes kindness, respect, and results—a culture that likely fosters autonomy, collaborative support, and a long-term career perspective. As a disruptor in the recruiting industry using AI, the company is positioned for growth and innovation rather than being a traditional or bureaucratic player. This translates to a dynamic, fast-paced yet empathetic environment where employees are encouraged to be proactive and engage with novel technical challenges. The fully remote, asynchronous work setup suggests a culture valuing trust, self-discipline, and clear communication. The Senior Software Engineer back-end role is likely high-visibility and strategically important, empowering the individual to influence core technologies that underpin Jobot’s AI-driven platform. This role aligns with Jobot’s growth ambitions by enhancing their technology backbone to scale intelligent, data-driven recruiting solutions, making it a prime opportunity for those wanting to contribute meaningfully at the intersection of AI and real-world business impact.

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

• Behavioral: Tell me about a time when you had to manage a complex technical project with minimal supervision. How did you ensure successful delivery?
• Behavioral: Describe a situation where you encountered ambiguity in project requirements. How did you navigate and clarify the expectations?
• Behavioral: How have you used AI or coding assistant tools like Cursor or Windsurf in your development workflow? What impact did they have on your productivity or code quality?
• Behavioral: Can you share an experience where you had to unblock teammates in a challenging technical situation? What approach did you take?
• Technical: How would you approach designing a scalable backend system for handling large, complex datasets with frequent AI integrations?
• Technical: Explain your experience with PostgreSQL in the context of data modeling for AI/ML applications. What strategies do you use to optimize performance and schema design?
• Technical: Walk me through how you would implement testing and iteration practices to maintain code quality in a rapidly evolving SaaS product.
• Technical: How do you integrate AI tools into your software development process? Can you provide examples of how this changes your approach to problem-solving?
• Situational: Imagine you discover a performance bottleneck during peak traffic that affects AI-driven data processing pipelines. How would you diagnose and resolve this issue?
• Situational: You're working remotely with a distributed team and communication lags are causing delays. How would you improve collaboration and maintain project momentum?
• Situational: You are assigned a project critical to the company’s AI platform launch but some requirements are still undefined. What steps do you take to move forward confidently?
• Company Fit: Why are you interested in working at Jobot, and how do you see your role contributing to their mission of combining AI with recruiting?
• Company Fit: Jobot emphasizes kindness and respect in its culture. How do these values resonate with your own working style? Can you provide an example?
• Company Fit: How do you prioritize and balance productivity with well-being when working fully remotely in an asynchronous environment?
• Questions for Interviewer: How does this role interact with other teams such as AI research or product management to drive innovation?
• Questions for Interviewer: Can you describe the key technical challenges the back-end team is currently facing?
• Questions for Interviewer: How has becoming employee-owned influenced the company culture and development priorities?