How AI is reshaping product management from idea to launch? The panel digs into strategy, PRDs, research, prototyping, analytics, guardrails, and the human judgment that still holds it all together.

“AI gives you what you give it. It can enhance your voice, but it cannot replace your thinking or your voice.” — Namisha Balagopal

Guests

Namisha Balagopal — Product leader across HP, Twitch, Amazon, and digital health

Mayan Shay May-Raz  — Principal Product Manager, Amazon Search, former AR and VR PM at Lenovo and Meta startup

Dr. Nancy Li — Founder, PM Accelerator, YouTube and LinkedIn Top Voice

Jasmeen Bal — Product leader in the EV charging industry, former automotive engineering

Hosts

Reut Lazo, Cofounder and Co-CEO, WOMEN x AI

Jenny Kay Pollock, Cofounder and Co-CEO, WOMEN x AI

What We Cover

• How AI speeds strategy, PRDs, and stakeholder buy-in
• Research at scale with interview synthesis and insight mapping
• Prototyping and UI flows with AI design helpers
• Data quality, cleansing, and why your inputs determine your outputs
• Hallucinations, bias, and practical guardrails in production
• The evolving PM role, specialization, and parallelized build cycles
• Blending AI insight with human empathy and product taste

Key Takeaways

• AI is a force multiplier for PMs who stay in the loop and think critically.
• Inputs matter. Define personas, context, and goals to get useful outputs.
• Use AI to compress time, then spend the saved time on deeper questions.
• Guardrails require humans. Validate facts, monitor outputs, and design for failure cases.
• Clean data beats big data. Aggregate, de-dupe, and cleanse before you trust.
• The PM toolkit is changing, but storytelling and empathy still win rooms.
• Product orgs will specialize. Core feature PMs, growth PMs, and internal tooling PMs can move faster with AI.
• Parallelize more. Strategy, research, prototype, and QA can run together with AI assistance.

Tools Mentioned

Dovetail — Customer interviews, synthesis, and insights

Lovable — Prompt to clickable prototype for faster stakeholder alignment

Claude — Reasoned writing, persona-aware drafting, and analysis

Amplitude — Product analytics and auto-captured events for faster decisions

Fathom — Meeting records, notes, and action items

Also referenced: Miro AI, Figma, GitHub Copilot, Cursor, Google Vertex AI, RAG and multi-agent patterns

Resources and Recs

Storyworthy by Matthew Dicks, on storytelling that lands with stakeholders

On Purpose with Jay Shetty — Madonna interview on resilience and belief

Power and Prediction by Agrawal, Gans, and Goldfarb, on how AI shifts decision making

Chapters

00:00 Intro and why AI in product matters now

01:09 Guest intros

05:06 How AI changes PM work and team velocity

08:44 First moments when AI changed their product practice

14:36 Strategy, speed, and decision making with AI

15:13 Research at scale and the Dovetail workflow

16:53 Blending AI insight with human intuition

20:21 Designing an AI-native product process end to end

23:29 Specialization and faster iterations across the lifecycle

24:40 Parallelizing strategy, prototyping, research, and QA

26:32 Risks and challenges, overreliance, and “vanilla” docs

28:01 Hallucinations and practical guardrails in production

33:39 Tool favorites of the week

37:40 Non-AI recommendations and why empathy still matters

41:02 How WOMEN x AI helps members grow

43:07 Closing and final quote

Recorded for the WOMEN x AI community. Learn more and join at www.womenxai.com.

In this episode of WOMEN x AI, marketing leaders discuss the integration of AI into go-to-market (GTM) strategies. Sharing insights on how AI serves as a powerful tool for content creation, self-improvement, and enhancing marketing efficiency.

The conversation highlights the significant shifts in marketing practices due to AI, emphasizing the importance of understanding systems and leveraging automation to free up time for strategic initiatives.

The experts also explore the democratization of marketing tools through AI, making them accessible to startups and smaller companies.

Takeaways

• AI is a powerful tool for go-to-market strategies.
• Using AI as a collaborator enhances creativity.
• Trust in AI outputs requires verification and refinement.
• AI democratizes access to marketing tools for smaller companies.
• Automation allows teams to focus on high-value strategies.
• Understanding your systems is crucial for effective AI integration.
• AI can synthesize information across various touch points.
• Salesforce's agent force launch marked a significant shift in marketing.
• AI helps marketers meet buyers where they are.
• Self-improvement through AI can enhance communication skills.

• AI Revolutionizing Go-to-Market Strategies

Soundbites

• "AI is a powerful tool for go-to-market."
• "Trust but verify with AI outputs."
• "AI helps us meet buyers where they're at."

Chapters

00:00 Introduction to AI and Go-To-Market Strategies

01:38 Utilizing AI in Marketing: Insights from Experts

09:41 Shifts in Go-To-Market Strategies Due to AI

11:21 Realizations of AI's Impact on Product Launches

18:16 AI's Role in Enhancing Go-To-Market Efficiency

22:56 Streamlining Workflows for Effective Change Management

24:03 The Balance of Automation and Personalization

25:31 Building Trust Through Internal Testing

27:49 Proactive Market Shaping with AI

30:12 Accelerating Sales Cycles and Trust Building

34:55 The Human Element in AI Workflows

37:38 AI Tools and Recommendations for Success

39:57 Community Support and Learning in AI

In this episode we discuss the transformative impact of AI on sales processes and customer interactions.

Special Guests:

1. Saumya Bhatnagar – CPO & Co-Founder of Involve.ai, building Jeeva, an agentic sales automation platform; recognized as one of the Top 100 Women in AI
2. Summer Poletti – Fractional CRO, Founder of Rise of Us, and Host of the Revenue Remix podcast
3. Amirah Raveneau-Bey – Founder of Grow, Scale, Develop; Fractional Advisor, Executive Coach, and Speaker with 25+ years in FinTech, real estate, and startups

Host: Jenny Kay Pollock Cofounder & Co-CEO WxAI

We explore how AI is reshaping the sales landscape, enhancing human connections, and automating time-consuming tasks. The conversation highlights the importance of integrating AI tools into sales strategies while maintaining a human touch and understanding customer journeys.

The guests share insights on the future of sales, the role of automation, and the necessary guardrails for using AI responsibly

Takeaways

• AI is a competitive necessity in sales.
• Human relationships remain fundamental in sales, even with AI.
• AI helps sales reps prepare better for meetings.
• Automation allows sales reps to focus on building connections.
• AI can enhance the customer journey by providing insights.
• Sales reps can leverage AI to ask better questions.
• AI tools can help shorten the sales cycle.
• Recording calls can provide valuable insights for sales reps.
• AI should be used with caution due to potential inaccuracies.
• Understanding customer journeys is crucial for effective sales.

Resources & Mentions

🤖 AI Tools & Platforms

• Fathom – AI-powered meeting notes and call summaries

• Otter – Transcription and AI notetaking for calls and meetings

• Granola – AI meeting assistant Jenny used during the recording

• Riverside – Podcast recording platform with AI-generated show notes

• Jeeva.ai – Agentic sales automation platform co-founded by Saumya

• Cast Magic – AI tool for turning call recordings into notes, emails, and follow-ups

• Cloud Desktops MCP – Secure desktop solution for hosting custom GPTs (mentioned by Summer)

• Andi – AI-powered search and workflows (Amirah referenced for sales templates)

• WOMEN x AI (WxAI) Social Saturday – Weekly conversations and learning with the WxAI community

• AI Daily Brief – Short daily podcast with the latest in AI

• Superhuman Newsletter – AI and productivity insights

• Women in AI LinkedIn – Updates and thought leadership from the global community

• TLDR Newsletter – Daily tech and AI digest

• ⁠Summer Poletti's White Chili ⁠ – sSeasonal favorite (vegetarian, vegan, or with meat) (link TBD)

• Libby App – Free audiobook app from your local library

• Love is Blind (Netflix) – Reality TV show

Chapters

00:00 Introduction to AI and Sales

04:03 The Importance of AI in Sales

09:47 AI's Impact on Sales Processes

16:33 Automation in Sales

23:16 Guardrails and Limitations of AI

29:56 Customer Journey and AI

34:28 Lightning Round and Community Engagement

This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations.

Special Guests:

1. Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation models
2. Kasia Rachuta - Works at Block, within the identity verification space at Square
3. Rachel Mak-McCully - Works at Unlearn, a startup in health AI

Hosts: Reut Lazo & Jenny Kay Pollock Cofounder & Co-CEOs WxAI

The speakers discuss their journeys into tech, the challenges of data collection, especially in healthcare, and the biases present in AI models. They emphasize the need for collaboration across various data roles and the significance of human feedback in AI development. The conversation also highlights the role of women in tech and the importance of community support in navigating these challenges.

Takeaways

• Data analysis is crucial for making informed decisions.
• Collaboration among data roles enhances the effectiveness of data usage.
• Healthcare data collection faces unique challenges due to fragmentation.
• Bias in AI models can stem from skewed training data.
• Human feedback is essential in refining AI models.
• Ethical considerations in data collection are increasingly important.
• Women are underrepresented in technical data roles.
• Community support can foster connections and opportunities in tech.
• Diversity in data committees can help address biases.
• Understanding data ownership is vital for ethical practices.

• Navigating the Data Landscape: Insights from Women in Tech
• The Power of Data: Ownership, Ethics, and

Resources

Weapons of Math Destruction - A book referenced by Rachel Mak-McCully.

Perplexity - An AI tool mentioned by Rachel Mak-McCully.

Notebook LLM - An AI tool mentioned by Annie Xu.

Goose - An AI tool mentioned by Kasia Rachuta.

Kaggle GenAI Challenge - Recommended by Kasia Rachuta for learning about GenAI.

Tiny Experiments by Anne-Laure Lecomf - A book recommended by Rachel Mak-McCully.

Maybe Happy Ending - A Broadway show recommended by Annie Xu.

Butter by Azako Yuzuki - A book recommended by Kasia Rachuta.

For more from our community check out www.womenxai.com

Chapters

00:00 Introduction to AI and Data

03:08 The Importance of Data in AI

05:30 Personal Journeys in Data and AI

08:29 The Role of Data in Decision Making

11:24 Ownership and Responsibility in Data

13:55 Bias and Representation in Data

16:41 Human Involvement in Data Processes

19:33 Privacy vs. Progress in Data Collection

22:05 Regulations and Their Impact on Data Practices

25:58 The Impact of Proxies in AI and Regulation

26:56 Legislation and Trust in Technology

28:42 Women in Technology: Visibility and Representation

31:41 Data Quality and Iterative Processes

34:22 AI Tools: Community Recs

36:32 Learning Resources for AI Enthusiasts

38:52 Lightning Round

42:15 Community Support

43:44 Community and Collaboration in AI Learning

This conversation explores the intersection of AI, innovation, and funding, particularly focusing on the role of women in tech and the importance of diverse teams.

​Speakers: 

• ​Moderator: Holly Uber, Human Centered Technologist | Digital Health Leader | Investor & Advisor

• ​Preetha Ram, Managing Partner, INpact Fund and CTO, Pier 70 Ventures

• ​Sabira Alloo, Head of Private Equity Partnerships, North America, Google

• ​Mahak Sharma, Head of Platform Partnerships, Gemini

• ​Sheetal Inariani, General Partner & Chief Financial Officer, Global Health Impact Network & Funds

Panelists discuss trends in AI, the impact of AI on healthcare, and the dynamics of venture capital funding. They emphasize the need for responsible AI, the significance of community, and the value of cross-industry collaboration.

The discussion also covers alternative funding options, the importance of market research, and the role of intellectual property in startups.

Takeaways

• Building an inclusive future in AI requires changing the narrative on who gets funded.
• The AI hype cycle is maturing, moving towards rationalization and value assessment.
• AI in healthcare presents both opportunities and obligations for responsible innovation.
• Diverse teams lead to better outcomes in venture funding and innovation.
• Investors are looking for clear, measurable outcomes in AI startups.
• Understanding the dynamics of VC funding is crucial for founders.
• Alternative funding options exist beyond traditional VC, including grants and corporate accelerators.
• Community plays a vital role in supporting innovation and collaboration.
• Cross-industry collaboration can lead to groundbreaking innovations.
• Market research is essential to validate the problem being solved by a startup.

Sound Bites Chapters

00:00 Building an Inclusive Future in Digital Health

06:44 Trends in AI and Innovation

14:37 The Impact of the Pandemic on Healthcare

18:05 Investment Trends in Healthcare and AI

22:01 Understanding the VC and LP Dynamics

29:50 Exploring Alternative Funding Options

41:56 The Future of Innovation and Collaboration

54:19 Audience Engagement and Insights

56:31 Navigating Startup Challenges

01:00:24 Understanding VC Relationships

01:03:28 Evaluating Market Potential

01:06:48 The Role of Technical Expertise

01:10:18 Funding Strategies in Biopharma

01:14:35 Building a Unique Value Proposition

01:17:07 Evolving Metrics for Startups

01:20:38Preparing for Acquisition

01:21:40 Finding the Right Advisors

Connect with Us

• ⁠WOMEN x AI LinkedIn ⁠

• ⁠Reut Lazo LinkedIn ⁠

• ⁠Jenny Kay Pollock LinkedIn ⁠

• ⁠WOMEN x AI Instagram⁠

• ⁠WOMEN x AI YouTube⁠

• ⁠www.womenxai.com⁠

The WOMEN x AI global launch event brought together a diverse group of women leaders to discuss the impact of AI on society, leadership, and health.

Each speaker shared insights on how AI is transforming their respective fields, emphasizing the importance of collaboration, human-centered approaches, and the need for purposeful innovation.

The event highlighted the challenges and opportunities women face in the AI landscape, fostering a sense of community and support among participants.

Our Guests

🎤⁠⁠⁠⁠Summer Poletti⁠ ⁠- Founder and CEO of The Rise of Us

🎤⁠Dr. Joan Palmiter Bajorek⁠ - AI Expert and Author of Wiley Bestseller "Your AI Roadmap"

🎤⁠Tarja Stephens⁠ - Founder, AI Opportunity

🎤⁠Imen Maaroufi Clark⁠ - Founder and CEO, Prickly Pear Health

🎤⁠N Liberty White⁠ - Founder and CEO, She Learns AI

🎤⁠Alejandra Acosta⁠ - EdTech Strategist 

🎤⁠Jessica Gold ⁠- Co-Founder & CCO, Digital Wisdom AI

Takeaways

• Women X AI aims to provide a platform for women in AI.
• AI is reshaping the future of work and leadership.
• Future-proofing careers and finances is essential in volatile times.
• Human qualities will be crucial in future leadership roles.
• Small actions can create significant impacts in communities.
• Collaboration among women in AI is vital for success.
• Purpose-driven products are necessary for effective AI solutions.
• Personalized AI can enhance relationships and communication.
• Transparency in AI tools builds trust and engagement.
• Community support is essential for navigating the AI landscape.

Chapters

00:00 Welcome and Introduction to Women X AI

01:12 The Role of AI in Society and Career Resilience

02:59 Transforming Leadership in the Age of AI

05:25 Human-Centered AI and Women's Health

08:03 Collaboration as the New Currency in AI

10:23 Building Community and Future Opportunities in AI

32:11 Collaboration and Community in AI

34:10 Lessons from EdTech for AI Development

42:33 Personal Transformation and Technology

52:34 Engagement and Future Events

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📱 ⁠⁠Follow us on LinkedIn⁠⁠ for updates between episodes.

In this episode of WOMEN x AI (WxAI), hosts Jenny Kay Pollock and Reut Lazo discuss the origin story and mission of WOMEN x AI, a community aimed at empowering women in the AI field.

They share their personal experiences in tech, the challenges women face, and the importance of creating a supportive network.

The conversation highlights the need for representation, mentorship, and resources to foster a diverse and inclusive ecosystem in AI.

For more check out WOMEN x AI's website where you can sign up for our free WxAI membership.

Takeaways

• WOMEN x AI was created to fill the gap in representation for women in AI.
• The founders have extensive experience in tech and AI.
• Community support is crucial for women navigating male-dominated fields.
• Mentorship can significantly impact women's careers in tech.
• Making AI accessible to all is at the heart of WOMEN x AI's mission.
• The goal is to empower women to lead and innovate in AI.

• Investing in women-led initiatives can change the landscape of AI.
• The founders emphasize the importance of collaboration and support.
• WOMEN x AI aims to amplify women's voices in the tech industry.

Chapters

• 00:00 Introduction to WOMEN x AI
• 03:11 The Origin Story of WOMEN x AI
• 05:25Mission and Vision

Connect with Us

• WOMEN x AI LinkedIn
• Reut Lazo LinkedIn
• Jenny Kay Pollock LinkedIn
• WOMEN x AI Instagram
• WOMEN x AI YouTube
• www.womenxai.com

Welcome to WOMEN x AI—the podcast where bold women (and allies) are building the future of artificial intelligence.

In this short and spirited trailer, co-hosts and co-founders Reut Lazo and Jenny Kay Pollock introduce the vision behind WOMEN x AI:
→ A platform to elevate the voices of women building, funding, and leading in AI→ A place to hear real stories, practical advice, and bold ideas from global AI leaders→ A community shaping the next era of computing—together

Whether you’re:
✔️ Launching your first AI startup✔️ Navigating uncharted tech leadership✔️ Or just trying to make sense of a rapidly evolving world...

You belong here.
And we’re so glad you found us.

🎧 What to Expect:

• Candid conversations with AI founders, builders, investors, and visionaries

• Topics like AI ethics, monetization, innovation, inclusion, and future trends

• An intentional space for learning, connection, and action

  
  

🔗 Subscribe now to be the first to hear new episodes.
📱 Follow us on LinkedIn for updates between episodes.