Product Rising

Women In Product
  • 4.7 (14)
  • Technology

Meet product and technology leaders who are shaping what comes next in a world driven by AI, rapid innovation, and global complexity. Every week, we explore the ways bold women and men are navigating change, leading with impact, and redefining the future of product leadership.

  1. (Replay) Marty Cagan on AI Product Coaching

    6d ago

    (Replay) Marty Cagan on AI Product Coaching

    Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead.  Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations.  Marty is the author of influential books on the topic of product management and product teams including  Inspired: How to Create Tech Products Customers Love  Empowered: Ordinary People, Extraordinary Products. Transformed: Moving to the Product Operating Model  Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders.. In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product.  Your AI Product Coach 00:00 Reckoning for Product 03:11 GenAI Changes the Stakes 07:11 Feature vs Empowered Teams 09:57 Build to Learn vs Earn 12:18 Prototyping Tools Boom 13:37 New PM Litmus Test 16:05 Why Coaching Fails 20:57 AI Coaching Tipping Point 23:58 Prompting for Product Model 27:30 Load Strategic Context 28:19 Strategic Context Inputs 29:23 Project Model Prompts 30:52 AI Coaching Limits 34:58 Why Humans Still Matter 38:42 What Coaching Looks Like 39:25 Building Product Sense Fast 42:01 Frameworks For Real Work 45:23 Adoption Curve Reality 49:13 Career Advice And Wrap 📚Resources: SVPG Product Coaching and AI Configuring Your Model As Product Coach - an example of how to get started using an AI Model to provide product coaching ✨Where to find Marty: On LinkedIn Silicon Valley Product Group (SVPG) Website & Newsletter sign up  💫 Where to find Carmen: On LinkedIn  🙋🏻‍♀️Where to find Women in Product: On LinkedIn  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    54 min

  2. Jun 2

    (Replay) Sally Thornton on Today’s Job Market  

    There is a lot of debate about the state of the job market today. We definitely hear a lot about layoffs in the big tech companies and also about AI eliminating positions. But AI may be having a bigger impact in the requirements for specific roles and even perhaps new types of roles. We will be having periodic conversations with leading recruiters, hiring managers, and others about the evolving job market and what it takes to get hired/noticed.  Our first conversation is with Sally Thornton, CEO & Founder of Forshay, a firm that combines Executive recruiting with interim experts across Finance, HR, and Operations, and by aligning culture and leadership development skills to optimize team performance. 02:17 Forshay Firm Overview 03:27 Job Market Reality Check 06:09 Entry Level Pipeline Crunch 07:44 Where Hiring Is Growing 08:33 What Employers Want Now 09:56 Proving Curiosity in Interviews 11:34 Influence as a Core Skill 12:38 AI Transparency and Flatter Teams 14:47 Fractional Leadership Explained 19:36 How Orgs Are Reshaping for AI 22:43 The Rise of the AI Scout 24:55 Building an AI Experiment Team 25:43 Choosing Tools That Fit 27:16 AI in Hiring and Resume Filters 29:19 Beating the Rejection Machine 31:36 Community as Career Support 32:14 AI as Reflective Hiring Partner 34:37 Gut Instinct Versus Data 37:40 Future Proofing Through Community 39:56 Give More and Experiment Often 41:16 Tools That Reduce Overwork 43:42 Wrap Up and Where to Follow 📚Resources: To Sell is Human, Daniel Pink 🌟 Where to find Sally: On LinkedIn https://www.linkedin.com/in/sallythornton/ Forshay: https://forshay.com 🙋🏻‍♀️Where to find Women in Product: On LinkedIn https://www.linkedin.com/company/women-in-product/posts/  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    45 min

  3. May 19

    Tracy Pizzo Frey on AI & Adolescence

    We are reckoning with truths that are a bit uncomfortable. AI is not just a tool, but something people are relating to - personally. For kids and teens, we’re finding that that can be extremely dangerous. In this episode, Shannon Peavey speaks with Tracy Pizzo Frey, a veteran technology leader including 11 years at Google where she oversaw Responsible AI for Google Cloud. As a consultant, she worked with Common Sense Media to develop a system for assessing the risks of large language models and AGI, with a particular focus on kids and teens. Tracy brings deep technical experience and knowledge of how technology shapes behavior. Drawing on lessons from social media and emerging research, she explores what feels different about AI. For young people who are still developing social and emotional skills, these interactions may have unique implications. AI systems are responsive and engaging, but they do not challenge users or help them navigate real-world complexity in the same way humans do. Over time, that difference may influence how teens build coping skills, relationships, and a sense of self. Through her work with Common Sense Media, Tracy has evaluated leading AI systems and reached some important conclusions. Today’s models are not designed to serve as mental health companions for kids or teens, even though many young people are already engaging with them in ways that resemble emotional support. Tracy shares how these assessments were created, what they measure, and what they reveal about the current state of AI safety. She offers a grounded perspective on building & using these technologies responsibly, especially when younger users are already deeply involved.. 00:20 AI’s effect on kids 02:07 Why harms are specific to kids & teens 04:50 AI is not a search engine 07:27 Kids & teachers are often earliest adopters 08:06 Tech companies know more than they let on 09:15 Common Sense Media’s risk assessment project 09:57 Let’s not repeat mistakes 11:24 Tracy's involvement 13:11 Set your charter 14:50 Bring diverse, multi-disciplinary teams 16:25 Why psychological safety is important 17:38 Distilling masses of information into risk assessments 18:48 Why hype matters 20:30 How the team looked at social media 23:20 Early assessment of potential harms 25:10 Character.ai as precursor to interaction with LLMs 26:00 ‘Everything in the whole wide world’ 27:13 Why kids are different 32:18 The danger of so-called frictionless relationships 33:02 The best way to test 36:50 Some surprising findings 39:08 How tech can reshape a worldview 41:02 There are good people, but - business models 43:30 Know the tradeoffs 45:07 The fact-to-fiction scale 46:30 Some positivity 48:00 Books, lawsuits, and resources 📚Resources: Common Sense Media (CSM) AI Overview https://www.commonsense.org/ai CSM’s Parents’ Guide https://www.commonsensemedia.org/articles/parents-ultimate-guide-to-generative-ai CSM’s Parents’ guide to AI Companions & Relationships https://www.commonsensemedia.org/articles/parents-ultimate-guide-to-ai-companions-and-relationships Google’s AI Principles https://ai.google/principles/ Social Media’s Harmful Effects on Children https://www.yalemedicine.org/news/social-media-teen-mental-health-a-parents-guide AI & Everything in the Whole Wide World benchmark study https://sites.rutgers.edu/critical-ai/wp-content/uploads/sites/586/2022/01/Bender_AI-and-Everything-in-the-Whole-Wide-World-Benchmark.pdf Shannon Vallor’s research https://edwebprofiles.ed.ac.uk/profile/shannon-vallor Empire of AI by Karen Hao https://www.penguinrandomhouse.com/books/743569/empire-of-ai-by-karen-hao/ Where to find Tracy: Tracy Pizzo Frey, Restorative AI https://www.linkedin.com/in/tracy-frey/ Where to find our host: Shannon Peavey https://www.linkedin.com/in/spmad/ 🙋🏻‍♀️Where to find Women in Product: On LinkedIn https://www.linkedin.com/company/women-in-product/posts/  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    50 min

  4. May 12

    Leading the Transition to AI in Product with Gyanda Sachdeva

    Gyanda joins Carmen Palmer for this episode in our monthly series, In The Lead.  Gyanda Sachdeva is VP of Product Management at LinkedIn where she currently leads the Consumer Experience team. She has over 15 years of product experience across a wide variety of domains including advertising, subscriptions, marketplaces and payments.  In this episode Gyanda shares her insights into managing product teams through the transition to AI and the changing role of PM. She also shares her personal career journey and the challenges of growing from an APM through individual contributor, group manager, director and now VP. In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product.  Leading the Transition to AI in Product 00:00 Meet Gyanda at LinkedIn 02:34 Career Journey to Product 05:01 Long Tenure Lessons 08:11 Unlearning as a Leader 11:02 AI Shift Moment 14:35 Experimentation Over Roadmaps 19:36 Full Stack Building Culture 22:50 Trust Guardrails and Agents 24:44 Associate Product Builder Program 25:48 Early Adopters Drive ROI 26:20 Mentorship and Product University 28:26 Leaders Get Everyone In 30:42 Scaling AI Enablement 34:13 Keeping Up With Velocity 37:27 Diversity Access and Role Models 40:25 Three Day AI Jumpstart 43:30 Product Launch Gone Wrong 46:26 Daily Tools and Language Barriers 48:12 Embrace the Skill Shift 📚Resources: Statistics on job skills change by 2030: https://economicgraph.linkedin.com/research/work-change-report A guide for new grads on job trends: https://news.linkedin.com/2026/Grads-Guide-2026  ✨Where to find Gyanda: On LinkedIn 💫 Where to find Carmen: On LinkedIn  🙋🏻‍♀️Where to find Women in Product: On LinkedIn  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    51 min

  5. May 5

    Rebecca Hinds, PhD: Avoiding the AI Productivity Trap

    In this episode, host Shannon Peavey speaks with Professor Rebecca Hinds, PhD, a Stanford-trained organizational behavior expert and author of Your Best Meeting Ever. Rebecca, who runs the Glean Work AI Institute, explains why the future of AI at work is not about squeezing more productivity out of individuals, but about strengthening organizations as a whole. She shares her system for applying design principles to create effective meetings and illuminates the ways these can help leaders decide when technology enhances collaboration and when it risks undermining human trust, creativity, and emotion. She also highlights a growing body of research on how AI can expand access to insight and make work more effective – though today, she says, many organizations are getting it wrong. Instead of imposing AI from the top down, she argues that companies should empower employees to experiment, and that they should tolerate and even celebrate failure. Importantly, she says, organizations need to establish thoughtful guardrails that allow people to discover how these tools can truly help teams become more effective. 01:56 First things first, the bad news on AI and meeting culture 03:12 The good news on AI and meeting culture 05:29 Why leaders need to think about meetings holistically 07:10 Seven design principles to appy to meeting design 10:16 The “Four-D, CEO” test for meetings 13:41 Where AI can excel 18:02 Thinking differently about human roles 19:18 Why we should worry about “digital twins” 20:45 Keeping human emotions in mind 23:05 What can happen if you deprioritize people 23:30 Psychological safety at work, and with AI at work 26:09 The critical need to have AI policies 28:30 Enabling employees to find the value in AI 30:54 Tolerating, even celebrating failure 33:48 Collaboration with AI: an individual experience 36:36 The future is managing agents 37:38 Hope for a future of unparalleled insights 40:26 Using AI to help the organization, rather than the individual 42:48 Sharing resources and research 📚Resources: Rebecca Hinds https://www.rebeccahinds.com/ Stanford University http://www.stanford.edu The Glean Work AI Institute https://www.workai.institute Rebecca’s book, “Your Best Meeting Ever” https://www.rebeccahinds.com/book Organizational psychologist Bob Sutton https://bobsutton.net/about-bob/ Harvard Business School professor Amy Edmonson https://amycedmondson.com/about/ Wharton School of Business Professor Ethan Mollick https://x.com/emollick?lang=en Charter newsletterhttps://www.charterworks.com/ 🌟 Where to find Rebecca: On LinkedIn: https://www.linkedin.com/in/rebecca-hinds/ 🙋🏻‍♀️Where to find Women in Product: On LinkedIn https://www.linkedin.com/company/women-in-product/posts/  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    44 min

  6. Apr 28

    Jen Gennai: Leading in AI’s Human Era

    In 2017, before generative AI became a household term, Jen Gennai drafted Google’s original AI Principles. She was part of the effort to define what responsible AI should mean inside one of the most influential technology companies in the world. Now, years later, she is asking a more uncomfortable question. While companies race to deploy AI and governments work toward regulatory frameworks, who is seriously grappling with what this technology is doing to people and how they think, learn, and communicate?  Jen argues that we are making progress on global rules and regulations. But we may NOT be moving fast enough on the human consequences. As an AI responsibility expert and consultant, she spends her time training leaders not just to adopt AI, but to build resilient cultures, to capture gains without eroding human capacities that make those gains meaningful. 02:29 How Google’s original AI Principles came about 07:13 Working cross-industry to up-level the market 08:02 History may not repeat, but it rhymes 09:35 Regulation: rules versus principles 13:08 How federal law could solve some problems 18:18 AI’s “harm categories” 24:03 Why we need to think more about human impact 26:49 Skills for the future: Resilience, analytics, communication, creative problem-solving 31:38 Why we need more focus on training programs 38:30 Should you say your business is AI-first? Maybe not. 40:43 Defining what “good” looks like 42:20 Leading means building psychological safety 📚Resources: T3 https://t3-consultants.com/ Google AI Safety Principles https://ai.google/principles/ NIST AI Risk Management Framework https://www.nist.gov/itl/ai-risk-management-framework EU AI Act https://artificialintelligenceact.eu/ Latanya Sweeney’s 2016 keynote at the Grace Hopper Celebration https://www.youtube.com/watch?v=UBzP0NouiGo Article describing Latanya Sweeney’s findings on racism in Google ads https://racismandtechnology.center/wp-content/uploads/latanya-sweeney-discrimination-in-online-ad-delivery.pdf The U.S. Government’s AI Literacy Framework https://www.dol.gov/newsroom/releases/eta/eta20260213 MIT’s Technology Review https://www.technologyreview.com/ HBR https://hbr.org/ 🌟 Where to find Jen: On LinkedIn https://www.linkedin.com/in/jen-gennai-b333933/ 🙋🏻‍♀️Where to find Women in Product: On LinkedIn https://www.linkedin.com/company/women-in-product/posts/  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    45 min

  7. Apr 21

    Practitioners Wanted: AI Ethics with AG Consulting's Angel Evan

    What does it actually mean to build ethical, safe, and responsible AI inside a real company with real deadlines, revenue pressure, and competing priorities? In this episode, Shannon Peavey sits down with Angel Evan, AI Ethicist and Practice Lead at AG Consulting Partners. Angel works directly with Fortune 500 companies and major technology organizations to operationalize AI ethics inside product development teams. His focus is not on abstract principles, rather, it’s process, execution and decision-making under pressure. Together, Shannon and Angel explore: Why AI ethics cannot live only in policy documents or philosophical debates How organizations can establish common starting points even when morality is subjective The role of product managers, engineers, and leaders in translating values into shipping decisions What it looks like to embed ethical thinking into roadmaps, governance, and release cycles Why learning together across teams is more powerful than waiting for perfect consensus Angel brings deep knowledge of philosophy and ethical theory, but his work is grounded in practical application. How do you turn abstract frameworks into something that actually guides a sprint? How do you navigate competing incentives? How do you move from aspiration to implementation? If you are a product leader, technologist, or executive trying to build AI responsibly without slowing innovation to a halt, this conversation offers a candid look at what it takes to move from ideas to impact. 00:00 Introduction  01:59 AI Ethics, Responsibility, Safety: Focusing on the human condition 02:50 Turning baseline principles into real products 04:13 What is fairness? 05:50 The path from data science  06:50 How we calibrate “right” and “wrong” in organizations 09:20 Finding a common starting point 12:14 Find the threshold between risk and productivity 15:42 What is AI literacy?17:05 Building your “ethical reasoning” muscles 22:30 Cautious optimism 📚Resources: AG Consulting https://agconsultingpartners.com/ The Stanford University Human-centered AI (HAI) Index https://hai.stanford.edu/ai-index Angel Evan’s Machines & Meaning podcast https://angelevan.com/podcast/ The U.S. Government’s AI Literacy Framework https://www.dol.gov/newsroom/releases/eta/eta20260213 University of Edinburgh https://www.ed.ac.uk/ 🌟 Where to find Angel: On LinkedIn https://www.linkedin.com/in/angel-evan/ 🙋🏻‍♀️Where to find Women in Product: On LinkedIn https://www.linkedin.com/company/women-in-product/posts/  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    29 min
  8. Marty Cagan on AI Product Coaching

    Apr 14

    Marty Cagan on AI Product Coaching

    Marty Cagan joins Carmen Palmer for this episode in our monthly series, In The Lead.  Marty is a renowned product executive and author, and is widely considered a thought leader in the field of Product Management. He is the founder of the Silicon Valley Product Group (SVPG), where he advises companies on how to create successful products using the practices of world-class tech organizations.  Marty is the author of influential books on the topic of product management and product teams including  Inspired: How to Create Tech Products Customers Love  Empowered: Ordinary People, Extraordinary Products. Transformed: Moving to the Product Operating Model  Recently Marty and the team at Silicon Valley Product Group (SVPG) have been exploring the use of AI LLMs as product coaches. As always Marty has strong views on the adoption of AI technology enabling true product builders, the increasing importance of true empowered product managers, and how AI Models can assist in the transition by coaching PMs and Product Leaders.. In The Lead is a monthly series on Product Rising sharing thought provoking conversations with a wide range of industry leaders hosted by Carmen Palmer, CEO of Women In Product.  Your AI Product Coach 00:00 Reckoning for Product 03:11 GenAI Changes the Stakes 07:11 Feature vs Empowered Teams 09:57 Build to Learn vs Earn 12:18 Prototyping Tools Boom 13:37 New PM Litmus Test 16:05 Why Coaching Fails 20:57 AI Coaching Tipping Point 23:58 Prompting for Product Model 27:30 Load Strategic Context 28:19 Strategic Context Inputs 29:23 Project Model Prompts 30:52 AI Coaching Limits 34:58 Why Humans Still Matter 38:42 What Coaching Looks Like 39:25 Building Product Sense Fast 42:01 Frameworks For Real Work 45:23 Adoption Curve Reality 49:13 Career Advice And Wrap 📚Resources: SVPG Product Coaching and AI Configuring Your Model As Product Coach - an example of how to get started using an AI Model to provide product coaching ✨Where to find Marty: On LinkedIn Silicon Valley Product Group (SVPG) Website & Newsletter sign up  💫 Where to find Carmen: On LinkedIn  🙋🏻‍♀️Where to find Women in Product: On LinkedIn  Website https://womenpm.org/ Join the Community https://womenpm.org/wip-community/

    54 min
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4.7
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About

Meet product and technology leaders who are shaping what comes next in a world driven by AI, rapid innovation, and global complexity. Every week, we explore the ways bold women and men are navigating change, leading with impact, and redefining the future of product leadership.

Information

  • Creator
    Women In Product
  • Years Active
    2021 - 2026
  • Episodes
    126
  • Rating
    Clean
  • Copyright
    © Women In Product
  • Show Website
    Product Rising

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