Okay, I've searched for Senior Product Manager roles in Seattle, WA within the tech industry for full-time positions requiring a Bachelor's degree and 5+ years of experience. I have found 132 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Product Manager for Selling Partner Support at Amazon holds a pivotal role aimed at transforming and advancing the support experience for Amazon's Sellers and Support Associates. Fundamentally, this role is about owning and evolving workflows into a modern, scalable, and intelligent system powered by large language models (LLM), automation, and data-driven insights. The candidate will need to balance strategic long-term vision with rigorous analytics and customer empathy, driving product decisions that reduce friction, enhance resolution speed, and elevate seller satisfaction across a vast, multilingual marketplace ecosystem. Key responsibilities include building strong business cases, prioritizing features with a keen sense of urgency, influencing a diverse set of stakeholders including engineers and senior leadership, and managing trade-offs between innovation and speed-to-market. Given the complexity and scale (supporting millions of interactions across global marketplaces), the role demands mastery in interpreting deep quantitative data alongside qualitative user feedback, and championing incremental yet impactful product evolution. Success will be measured by reduced manual interventions, improved automation accuracy, and an inspired, well-coordinated team execution. The candidate must excel in communication to navigate cross-functional collaboration, maintain high standards under ambiguity and competing priorities, and play a leadership role in pioneering AI-driven customer support capabilities.

Company Analysis:

Lensa operates as a tech-forward, mission-driven company focused on revolutionizing the job search and talent acquisition process through sophisticated machine learning and data science. Its position as a premier career platform with millions of users underlines a fast-growth, innovation-centric culture rooted in using technology to make meaningful, human-centered impacts. This dynamism and emphasis on matching people’s skills and needs with the right jobs align well with Amazon's similarly customer-obsessed, data-empowered ethos in the Selling Partner Support team. While Lensa itself is a nimble, specialized player with a strong R&D backbone in Europe, this role interacts directly with Amazon’s massive, complex global operation, signifying a blend of startup agility with enterprise scale. The environment is likely fast-paced, demanding autonomy coupled with collaborative fluency across multidisciplinary teams. The candidate will need to finely tune responsiveness to customer pain points while innovating within a structured, metric-driven ecosystem. Organizationally, the role sits at a high-impact intersection of product management and emerging AI technologies, suggesting strong visibility with senior leadership and strategic influence. It’s a strategic hire key to scaling automation and improving customer support intelligence, evidencing a long-term commitment to excellence, innovation, and leadership within Amazon’s tech ecosystem.

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

• Behavioral: Tell me about a time when you had to use data and customer insights to decide between competing product features. How did you approach the decision?
• Behavioral: Describe a situation where you faced significant cross-functional disagreements. How did you facilitate alignment and move the project forward?
• Behavioral: Give an example of a product you managed that required rapid iteration under tight deadlines. How did you ensure quality and customer satisfaction?
• Behavioral: How have you fostered a culture of innovation and urgency within your product team?
• Technical: How would you approach designing and prioritizing a roadmap for transitioning legacy manual workflows to AI-driven automated actions?
• Technical: Can you walk me through your experience working with LLMs or other AI models in product development, especially in customer support contexts?
• Technical: What metrics would you use to measure the effectiveness of automation in a support workflow? How would you track and improve these over time?
• Technical: How do you ensure technical feasibility while balancing urgent business needs and stakeholder expectations?
• Situational: Imagine a key workflow you launched is resulting in increased case reopen rates, despite automation. How would you investigate and resolve the issue?
• Situational: Suppose leadership wants to accelerate the deployment of a new feature, but your data shows it’s not ready to deliver true customer value yet. How would you handle this conflict?
• Situational: You discover that support associates are improvising workarounds outside the current workflows. How would you integrate these learnings into your product strategy?
• Company Fit: What excites you about the opportunity to work at Amazon on the Selling Partner Support team in the context of Lensa’s mission to innovate career technology?
• Company Fit: How do your personal values align with Amazon’s customer obsession and innovation culture as described in the job posting?
• Company Fit: How do you see AI transforming customer support experiences, and why do you think now is the right time to be involved in this transformation?
• Questions for Interviewer: How does the Selling Partner Support team measure success beyond operational KPIs? What are some current challenges the team is eager to address?
• Questions for Interviewer: Can you describe the collaboration between product management, engineering, and data science teams on AI-related projects?
• Questions for Interviewer: What opportunities exist for professional growth and influence within this role over the next 2-3 years at Amazon?