AI Job Interview Systems

Lately I have noticed a few patterns during interviews. Here are the two that stand out: Poor attitude and scripted answers. Here Are 10 Ways I’d Prepare to Not Just Get Through the Interview Loop—But Stand Out: 1. Do your research. Know the company’s mission, recent news, and products. Understand the role and how your experience connects to it. If you know your interviewers’ names, look them up on LinkedIn. If there’s a shared interest or experience, bring it up early to build rapport. Interviews are conversations—starting with curiosity sets the tone. 2. Practice with intention. Amazon interviews (like many others) go beyond the basics. It’s not just “Tell me about a project.” They’re looking for: • Did you own it? • Did you think ahead? • Did you drive real outcomes? Build a story bank: • 3 strong projects • 1 launch • 1 blocker you overcame • 1 failure you learned from Each story should reflect clear ownership and align with the company’s leadership principles or values. 3. Go deep, not wide. Choose stories that show real depth. • What decisions did you make? • What tradeoffs did you weigh? • What metrics did you move? If you didn’t drive the outcome, don’t use the example. 4. Use the XYZ format. Frame accomplishments like this: “Did X in Y time, which resulted in Z.” Example: Launched a new internal tool in 6 weeks, saving 15 hours/week for the support team. 5. Use “I” statements. Unless the question is about collaboration or team dynamics, focus on your individual contributions. Use action verbs like “I optimized,” “I led,” “I implemented.” 6. Prepare for follow-ups. Practice high-pressure questions. Ask clarifying questions before you respond to make sure you fully understand. Example: “Tell me about a time you got pushback from leadership.” Interviewers want to see how you stay composed under pressure. 7. Use the STAR(T) method. Structure answers clearly: • Situation • Task • Action • Result • Takeaway This helps you communicate clearly and keep your answers on track. 8. Mirror your interviewer. Pay attention to your interviewer’s tone, pace, and energy. Some are direct and fast-paced, others are more conversational. Adjust your communication style to match theirs and build connection. 9. Be respectful, always. Kindness, curiosity, and professionalism go a long way. Don’t try to prove you’re the smartest person in the room. Focus on being the most thoughtful. 10. Interview them, too. You're not just being evaluated—you’re evaluating them. Ask smart questions to learn more about the role, team, and company culture. Avoid HR-related questions (like time off or salary) in early rounds unless prompted. Resumes get you in the door. The way you communicate, connect, and own your story—that’s what gets you the offer. Don’t aim to sound perfect. Aim to sound prepared, thoughtful, and real. What’s one thing you always do before an interview? Would love to hear how you prep.

75% of AI PM interviews are behavioral. Here's the full breakdown (save this): I help 100s pursuing AI PM jobs, so I see the inside. And here's the reality of what questions you're going to hear over the course of an AI PM job search. 1. CASE INTERVIEWS (15%) These get all the attention, but they're mainly in use at the top companies with lots ex-big tech folks like OpenAI, as well as big tech itself. a. Product Sense (5%) The AI twist on the classic product sense case is here, and many candidates I have mocked with struggle to adapt without significant practice. Guide: https://lnkd.in/ekWty_bw b. Product Design (5%) The classic 'design a pencil for the blind' has evolved to AI variants like 'design an AI device to communicate with pets', bringing with it its own set of challenges. Guide: https://lnkd.in/g3gg2pct c. Success Metrics (5%) The classic execution interview hasn't left, because this is one of those areas PMs are expected to have a pointy edge compared to their dev counterparts. Guide: https://lnkd.in/gfffr_zC 2. BEHAVIORAL INTERVIEWS (75%) a. Leadership & Drive (40%) This is the entire genre of questions about handling stakeholders and past experiences, by far still the largest bucket of questions. Guide: https://lnkd.in/eGhgVNyh b. Values & Culture (10%) Every company is their own unique wallflower, and, mostly as startups, they strongly feel that way. Expect to show that you fit that company's philosophy. Guide: https://lnkd.in/gS-CKH9P c. AI-Specific Experience (25%) This is the area every company wants to go deeper beyond the resume: "Did you actually do AI PM work in the past or are you making it up?" Guide: https://lnkd.in/edKrAAFA 3. TECHNICAL INTERVIEWS (10%) a. Technical Deep Dive (5%) These are surprisingly rare. Expect the rare technical question if it's a technical team or role, though. Guide: https://lnkd.in/dG9EFhiR b. Strategy / XC Presence (5%) The PM and designer role are merging. So they want to see how well you can handle it. Guide: https://lnkd.in/dve8it6D Be strategic with your practice. Want coaching? Apply to the cohort: https://www.landpmjob.com/ 📌 Want my free framework to success metrics interviews? Comment 'success metrics framework' + DM me (must do both). I'll reply to those who repost faster. The AI PM interview is like any test. Break it down into the parts and grade yourself on each. Then bring up your worst grades.

You met all the qualifications. You answered every question well. But… no offer. What went wrong? 🤔 The truth is, strong candidates don’t just answer questions—they shape the interview. They leave hiring managers thinking: “We need this person on our team.” Here are three advanced techniques to make that happen: 👇 1️⃣ Strategic Mirroring: Build Instant Rapport People naturally like those who feel familiar. Mirroring (not mimicking) the interviewer’s energy, tone, and pace helps build subconscious trust. ✅ If they’re formal? Keep your responses structured and polished. ✅ If they’re conversational? Loosen up slightly while staying professional. 🚀 Pro Tip: Listen for keywords they use and incorporate them naturally into your answers. If they emphasize “collaboration” or “data-driven decisions,” weave those into your responses. 2️⃣ Narrative Control: Make the Interview Work for You Interviews aren’t just about answering questions—they’re about shaping how you’re perceived. 🔹 Bridge weak areas proactively. If you lack industry experience, say: "While my background is in [Industry A], I’ve applied the same skills—data analysis, market strategy—to similar challenges in [Industry B]." 🔹 Steer toward your strengths. If a question focuses on a minor part of your experience, pivot to a related strength: "That was part of my role, but where I had the biggest impact was..." 🚀 Pro Tip: Use transitions like “What I think is most relevant to this role is…” to highlight your key selling points. 3️⃣ High-Impact Storytelling: Make Your Answers Stick Hiring managers don’t remember generic answers—they remember stories that bring your skills to life. ✅ Use STAR or CAR—but focus on impact. Both frameworks work, but the key is making your answer concise, engaging, and results-driven. ✔️ STAR (Situation, Task, Action, Result) → Best for structured behavioural interviews. ✔️ CAR (Challenge, Action, Result) → Ideal for punchy, high-impact storytelling. 🔹 Basic answer: "I led an automation project that improved efficiency." 🔹 Memorable answer (STAR/CAR format): "Our team was drowning in manual reporting (Situation/Challenge). I saw an opportunity to automate key reports and designed a dashboard (Task/Action) that cut reporting time by 60% (Result), freeing up 10+ hours a week for strategy." 🚀 Pro Tip: End with a forward-looking statement: "That’s why I’m excited about this role—because I see a similar opportunity to drive impact here." 🔥 Final Thought: Good Isn’t Enough—Make Yourself the Clear Choice ✔️ Mirror the interviewer’s style to build rapport. ✔️ Control the conversation to highlight your strongest assets. ✔️ Use compelling stories to be memorable. 👉 Found this helpful? Reshare to help others master advanced interviewing techniques!

The STAR method is dead. AI killed it. Design your interviews accordingly. Traditional structured behavioral interviewing is fully gameable by AI second-screen tools that feed candidates real-time answers. Every TA team needs an AI offense and AI defense: design questions that require genuine human judgment, and explicitly test for AI mindset and curiosity as a positive qualification. — Ariana S. Moon, People Strategy Leader @ Greenhouse Software Yes, the STAR method is dead. And not because behavioral interviewing stopped working, but because AI changed the game. Candidates can now sit in an interview with a second screen running AI that generates polished STAR responses in real time. The interview you thought was measuring experience may actually be measuring how well someone can prompt ChatGPT. 😖 That's not a candidate problem. Heck, why shouldn't they use all the AI tools at their disposal if TA teams are, right? The issue is now it's an interview design problem. 👉 If your interview process hasn't evolved, you're testing for something that no longer exists. The best hiring teams are building both an AI offense and an AI defense. → The defense is designing interviews that are difficult to game. Move beyond rehearsed behavioral questions and create conversations that require candidates to think, adapt, challenge assumptions, and demonstrate judgment in the moment. The offense is just as important. → Stop treating AI as something to catch candidates using. Start looking for people who know how to use it thoughtfully. Curiosity. Adaptability. AI fluency. Those are becoming competitive advantages, not red flags. The question is no longer "Can this candidate answer a STAR question?" → It's: "Can this person solve problems, think critically, collaborate with AI, and make good decisions when there isn't a script?" The future of interviewing isn't AI-proof. It's AI-aware! So to all my TA Pros out there, how are you evolving your interview process for the AI era? 🎥 Check out the full interview with Ariana, LIVE from Transform 2026! Linked below. 🧐 POZ

Prepare for every job interview by recognizing that your personal brand is as crucial as your resume. Your personal brand is essentially the distinctive narrative you wish to convey about yourself in a professional setting, defining who you are, your strengths, and what sets you apart. Here's a guide to cultivating a robust personal brand during interviews: 1. Self-Exploration: Before branding yourself, delve into self-reflection. Identify your strengths, values, and passions that distinguish you. 2. Spotlight Your Strengths: Showcase your unique strengths, be it problem-solving, leadership, or creativity. Align these strengths with the job requirements. 3. Consistent Online Presence: Ensure your online presence on platforms like LinkedIn aligns with your personal brand. Update profiles with professional content and a suitable photo. 4. Emphasize Achievements: Highlight your accomplishments in your resume and interviews. Provide specific examples that demonstrate positive outcomes and quantify achievements when possible. 5. Dress for Success: Your appearance contributes to your brand. Dress appropriately, erring on the side of slightly overdressed. 6. Be Authentic: Let your personal brand reflect your true self. Authenticity is key; don't attempt to be someone you're not. 7. Communicate Effectively: During interviews, communicate with clarity and confidence. Non-verbal cues like eye contact and a firm handshake are just as vital as verbal communication. 8. Gratitude Post-Interview: After the interview, send a thank-you note reinforcing your personal brand. Express ongoing interest in the role and your eagerness to contribute to the company's success. Remember, building a personal brand is an ongoing endeavor, not limited to interviews but integral to your entire career. Consistency in your brand presentation makes you memorable, relatable, and appealing to potential employers.

𝐀𝐜𝐢𝐧𝐠 𝐭𝐡𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 𝐃𝐚𝐲 𝟑𝟎/𝟑𝟎 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐨𝐟 𝐢𝐧𝐜𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐢𝐧𝐠 𝐬𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠 𝐢𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 Storytelling in interviews is a powerful tool for making a lasting impact because it helps you connect with the interviewer on a personal level, makes your experiences memorable, and demonstrates your skills in a real-world context. 𝐑𝐞𝐥𝐞𝐯𝐚𝐧𝐜𝐞 𝐨𝐟 𝐒𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠 𝐢𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬: ✅ 1. Memorability: People remember stories better than a list of facts or achievements. A well-told story creates a lasting impression. ✅ 2. Engagement: Storytelling captures the interviewer's attention and engages them in your narrative. It makes the interview more interesting and dynamic. ✅ 3. Contextualization: Stories provide context for your achievements and experiences.They help the interviewer understand how you approach challenges and problem-solving. ✅ 4. Emotional Connection: Stories evoke emotions and create a personal connection.Interviewers are more likely to remember candidates who connect with them emotionally. ✅ 5. Demonstration of Skills: Stories allow you to showcase your skills in action. Rather than stating that you have a particular skill, you can illustrate it through a story. 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐜𝐨𝐫𝐩𝐨𝐫𝐚𝐭𝐞 𝐒𝐭𝐨𝐫𝐲𝐭𝐞𝐥𝐥𝐢𝐧𝐠 𝐢𝐧 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬: ✅ Choose Relevant Stories: Select stories that directly relate to the job requirements or highlight key skills.Tailor your stories to match the company's values and culture. ✅ Structure Your Stories: Use the STAR method (Situation, Task, Action, Result) to structure your stories.Clearly define the situation or challenge, your task, the actions you took, and the positive results. ✅ Highlight Achievements: Focus on stories that showcase your achievements and contributions. Quantify the impact whenever possible. ✅ Connect to Job Responsibilities: Tie your stories back to the specific responsibilities and requirements of the job. Show how your past experiences make you an ideal candidate for the position. ✅ Keep It Concise: While storytelling is valuable, keep your stories concise. Be mindful of the interview time and ensure you're conveying essential information. ✅ Practice Your Stories: Practice telling your stories in a clear and concise manner. Pay attention to your tone, pacing, and non-verbal cues. ✅ Be Authentic: Be genuine and authentic in your storytelling. Speak from the heart, and let your passion and enthusiasm shine through. ✅ Engage the Interviewer: Involve the interviewer in your story by maintaining eye contact and observing their reactions. ✅ End on a Positive Note: Conclude your stories with a focus on positive outcomes and lessons learned. Storytelling is a skill that improves with practice. By incorporating relevant and well-structured stories into your interview responses, you can provide a more compelling and memorable picture of your abilities and experiences.

𝗔𝗜 𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗵𝗼𝘄 𝘄𝗲 𝗵𝗶𝗿𝗲, 𝗯𝘂𝘁 𝗶𝘀 𝗶𝘁 𝗵𝗲𝗹𝗽𝗶𝗻𝗴 𝘂𝘀 𝗯𝘂𝗶𝗹𝗱 𝗶𝗻𝗰𝗹𝘂𝘀𝗶𝘃𝗲 𝘁𝗲𝗮𝗺𝘀? Many companies I partner with, including Fortune 500s, have started using AI for hiring from resume screening to video interviews. And I'm a big advocate for these tools because they help us hire faster and more fairly. But here's what many may not realise. It's not about just using AI. It's about using it the right way. This is really important because that ensures that candidates are all truly assessed for their skills. So if you are wanting to build an inclusive hiring process with AI, here are 5 ways to get started: 1️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘆𝗼𝘂𝗿 𝗴𝗼𝗮𝗹𝘀. Get clear about what fair and inclusive hiring means for your team before adding AI. This way you'll have clear measures of success too. What gets measured, gets tracked. 2️⃣ 𝗨𝘀𝗲 𝗱𝗶𝘃𝗲𝗿𝘀𝗲 𝗱𝗮𝘁𝗮. We all know that AI is only as good as what we feed it. To give yourself the best chances, make sure your data input reflects real diversity, across race, gender, age, ability, and more. 3️⃣ 𝗣𝗮𝗿𝘁𝗻𝗲𝗿 𝘄𝗶𝘁𝗵 𝘆𝗼𝘂𝗿 𝘁𝗲𝗰𝗵 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 Ask how they test for bias and what proof they have their tools are fair. Inclusion is a shared responsibility. 4️⃣ 𝗖𝗵𝗲𝗰𝗸 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗹𝘁𝘀 𝗼𝗳𝘁𝗲𝗻. I always say, everything is data. Look for patterns in who gets filtered out. One client found their AI was missing career changers—something we only caught by reviewing the data. 5️⃣ 𝗞𝗲𝗲𝗽 𝗽𝗲𝗼𝗽𝗹𝗲 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱. Yes, AI helps, but we still need humans making the big calls. Train your team to spot and correct bias, whether it comes from tech or people. What are some inclusive hiring practices you've seen? I'd love to hear your stories! #inclusivehiring #airecruitment #lfbalumni #diversityandinclusion  

New research shows that large language models judge identical text differently based solely on who they think wrote it. The content stays the same, but the evaluation shifts when an identity is attached. It’s a powerful reminder of why blind recruitment works — and why the same principle must apply when using AI in hiring. If AI is reviewing CVs or screening candidates, we need to remove names, nationality cues, gendered markers, and other identifiers so the model focuses on capability, not metadata. I’ve unpacked the study and its implications for ethical, inclusive AI in my latest article — including practical steps organisations can take. Join a community of multidisciplinary leaders for inclusive and ethical AI at ada.ai.

I had the privilege of speaking to ambitious undergraduate students on "The Art of Getting Hired: Navigating the Interview Process." Universities do a fantastic job teaching domain knowledge, but when it comes to landing that first big role, many students fall into the same trap: they treat the interview like a high-stakes exam where they are being judged, rather than a collaborative conversation to solve a problem. If you're a student or early-career professional preparing for upcoming campus recruitment, here are 4 critical insights from our session that go beyond the usual interview advice: 1. The Interview Starts Before You Walk in Up to 75% of resumes are filtered out before a human ever sees them. Today, your first interviewer might actually be an algorithm (ATS or AI Video screening). How to beat the ATS and AI Video Screening: Mirror exact keywords directly from the job description into your CV, and practice speaking to a camera with a structured, measured pace. AI rewards clarity and STAR structure. 2. Turn Nerves into Fuel (The 2-Word Reframe) When anxiety hits before an interview, don't try to calm down. Instead, say out loud: "I'm excited." Research shows that relabeling anxiety as excitement tricks your brain into a state of peak performance. Nerves mean you care so use that energy! 3. Embrace the 3-Second Pause When hit with a curveball or tough question, most students panic and start rambling immediately. The Counter-Move: Take a breath, smile, and say: "That's an interesting question, let me think for a moment." Taking 3–5 seconds of silence signals maturity, confidence, and deliberate thinking. 4. Don't Fade at the Finish Line (The 25-Second Close) Ending an interview with a timid "Thank you, hope to hear from you" is forgettable. The last moment is what sticks. Reaffirm your enthusiasm explicitly. Summarize your fit in one sentence based on what you learned during the chat. Ask about their timeline and clear next steps. 💡 My Key Message to the students: Use AI tools to research faster and practice smarter, but show up as 100% human. In a world of automated hiring, your genuine curiosity, learning agility, and authentic storytelling are what will ultimately get you hired. To all the students who joined the SxC Academy 2026 thank you for your incredible energy! 🚀 What’s one interview rule you wish you knew back when you were in university? Let’s share in the comments! 👇 #ThePeopleMinute #CareerDevelopment #StudentsxCEOs #InterviewTips #EarlyCareer #Leadership #FutureOfWork #CampusRecruitment

𝗔𝗜 𝗶𝘀 𝗿𝗲𝘀𝗵𝗮𝗽𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗶𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 𝗹𝗼𝗼𝗸𝘀 𝗹𝗶𝗸𝗲 𝗮𝘁 𝘄𝗼𝗿𝗸. It can supercharge your leadership—or quietly undo everything you've built. Here's how to stay ahead of the curve 👇 As an Inclusion Strategist, I've seen firsthand how AI is transforming workplace dynamics. It's a double-edged sword for diversity and inclusion efforts. On one hand, AI can: - Reduce human bias in hiring and promotions - Provide personalised learning experiences for diverse teams - Enhance accessibility for employees with disabilities But on the other, it can: - Perpetuate existing biases if trained on flawed data - Create new forms of digital exclusion - Raise privacy concerns that disproportionately affect marginalised groups To harness AI's potential while mitigating risks: 1. Audit your AI systems for bias regularly 2. Ensure diverse representation in AI development teams 3. Implement clear AI ethics guidelines 4. Provide AI literacy training to all employees 5. Use AI to complement, not replace, human decision-making in sensitive areas 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿: AI is a tool. Its impact on inclusion depends on how we design, implement, and govern it. Leaders who proactively address these challenges will create more inclusive, high-performing organisations in the AI era. The future of work is here. Embrace the challenge and lead with inclusion to shape a better tomorrow! #Inclusion  #𝗔𝗜 #Leadership #𝗕𝗶𝗮𝘀