# Tell me about your interest in AI. | Aced Aced (formerly Exponent) publishes a public search API over its indexed pages; the guide is at https://www.aced.io/agents/agent-access. Source: https://www.aced.io/questions/5598/interest-in-ai Source observed: 2026-11-04T22:49:37.604Z Last checked: 2026-11-04T22:49:37.604+00:00 Indexed: 2026-11-05T23:49:35.99+00:00 --- # Tell me about your interest in AI. We collect interview experiences for the behavioral question **“Tell me about your interest in AI.”** The question is categorized under **Artificial Intelligence** and **Behavioral** interviews. Our page shows four shared interview experiences, with additional company statistics available through [Upgrade](https://www.aced.io/upgrade?src=questions). The rendered page also identifies this question as having been reported last asked 4 months ago. ## Interview experiences ### OpenAI · 4 months ago > “So far straightforward phone screen. Prepped background and interests well and tried to speak to the role in a bit of detail.” **Role:** Product Manager · Staff / L6 [Read the OpenAI interview experience](https://www.aced.io/experiences/openai-staff-product-manager-interview-e3e491) ### Nvidia · 10 months ago > “I interviewed for a Senior Technical Program Manager role at NVIDIA, probably around the L5 or L6 band. The process was one hiring manager screen followed by a four-interview panel, with two rounds that were more technical and two that were more behavioral. What stood out to me was that it felt less robotic than some other big tech loops. I did not feel over-timed on every answer, and the interviewers actually interacted with me instead of just writing notes nonstop. At the same time, they absolutely expected strong technical depth in AI and cybersecurity plus solid TPM fundamentals around prioritization, KPIs, ambiguity, and cross-functional leadership. I came away feeling like they wanted someone who could speak both the technical language and the program-management language at a pretty high level.” **Role:** Technical Program Manager · Senior / L5 [Read the Nvidia interview experience](https://www.aced.io/experiences/nvidia-senior-technical-program-manager-interview-a29707) ### Perplexity AI · a year ago > “I got into the process after a recruiter reached out on LinkedIn for a PM role based in Palo Alto. The recruiter screen was pretty motivation-heavy compared with big tech, with a lot of focus on why AI, what I'd already done in the domain, and why Perplexity specifically. After one 45-minute PM screen, they moved me really quickly into a five-interview final loop with engineering, PM, and design, and almost every round had some mix of product sense, metrics, and stakeholder judgment. The toughest round was a PM case that jumped into self-driving cars and pushed hard on structure, estimation, peak demand, and business model thinking. I didn't get the offer, but they did offer a feedback call afterward, and the main message I took away was that they really value concise structure, strong analytical thinking, and people who've already operated in high-growth startup environments.” **Role:** Product Manager [Read the Perplexity AI interview experience](https://www.aced.io/experiences/perplexity-ai-product-manager-interview-26a981) ### Lovable · 2 years ago > “I got into Lovable through a referral and only did two rounds before the process stopped. The first was a very casual chat with one of the founders, and it felt more like a conversation about AI, vision, and zero-to-one building than a formal interview. Then I had what I assumed was a recruiter screen, but it turned into a live TypeScript code walkthrough with an external recruiter and I had not been told that in advance. I did solve the exercise, but I was very upfront that I'm not an expert in TypeScript. After that I got a generic rejection, and my read was that they specifically needed someone very strong in that stack.” **Role:** Software Engineer [Read the Lovable interview experience](https://www.aced.io/experiences/lovable-software-engineer-interview-4b735f) ## Community answers No answers have been contributed by the community yet. To answer, [log in or sign up](https://www.aced.io/signup?src=nav&returnPath=/questions/5598/interest-in-ai). ## Related questions - [Tell me about your last job.](https://www.aced.io/questions/3211/tell-about-last-job) - [Tell me about yourself.](https://www.aced.io/questions/6812/describe-yourself-introduction-summary) - [Tell me about yourself.](https://www.aced.io/questions/104/tell-me-about-yourself) ## Related courses ### [Product Management Interview Prep](https://www.aced.io/courses/pm) ![Product Management Interview Prep](https://images.ctfassets.net/x78yjrjc11pq/4PFBEhtIRyKwPm14eaBAFm/ad92a8c4dd1dc51108b3a855de64473b/product_management_track_compressed_063e6d4b35.jpeg?w=800&h=800&fm=webp&q=75) We cover AI product-sense rounds, vibe-coding prototypes, metrics questions, AI fluency, product strategy, product sense, analytical and execution interviews, leadership and drive, behavioral interviews, and technical PM interviews. We prepare candidates for companies including Anthropic, OpenAI, Meta, Apple, and Google. ### [Product Skills Course](https://www.aced.io/courses/pm-skills) ![Product Skills Course](https://images.ctfassets.net/x78yjrjc11pq/6bSjuhpNfU7emXQdz776t5/389a7c3fc4c4006965c8471b06554b8a/user-insight_a3d886ea91__281_29_4333187956.jpeg?w=800&h=800&fm=webp&q=75) We teach the fundamental product-management skills needed by product managers. ## Practice with AI Use [Practice with AI](https://www.aced.io/practice/ai/new?type=Behavioral&question=interest-in-ai&src=questions) to practice this behavioral question. Submitting an answer marks the question complete. --- [Read this page’s summary](https://www.aced.io/agents/api/public/v1/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fquestions%2F5598%2Finterest-in-ai&trace=t_679ff9ab98f3) ## Ask a follow-up about this page Need a more specific answer? Ask the exact question you have. It returns a fresh, cited answer from Aced (formerly Exponent)’s knowledge base. No account or API key required. Open this URL with your own question, URL-encoded. Include your question in q. All research inputs are optional; no account or setup. `GET https://www.aced.io/agents/agent/faq?q={question}&trace=t_679ff9ab98f3` [Tool guide and examples](https://www.aced.io/agents/agent-access) · [OpenAPI](https://www.aced.io/agents/api/public/v1/openapi.json) · [Page TLDR form](https://www.aced.io/agents/agent-tools/page-tldr?url=https%3A%2F%2Fwww.aced.io%2Fquestions%2F5598%2Finterest-in-ai). Opening a form does not execute a tool.