Name: The AI-Native PM: Tools, Tactics, and Workflows for the Next Era of Product
Start: 2025-11-18T17:30:00-07:00
End: 2025-11-18T20:30:00-07:00
Location: Awardco

Across 90 minutes, we’ll dive into hands-on exercises that teach you how to design *reliable*, *explainable*, and *efficient* AI workflows without needing to write a single line of code. You’ll learn how to craft complex prompts that hold up under real-world variability — from metadata prompting and multi-turn collaboration to prompt chaining and token-efficient design. We’ll explore the mechanics of deep research with AI — including where it breaks, how to avoid bias traps, and how to validate insights before they mislead your roadmap.

Then we’ll move into applied workflow automation for non-technical PMs — using AI to capture messy requirements, translate them into n8n automations, and scaffold early LangGraph prototypes. We’ll also unpack the “FAT” (Familiarity, Autonomy, Trust) framework for phased AI integration and look at how GenAI workflows differ fundamentally from traditional ML pipelines.

You’ll get a peek at emerging methods like “LLM-as-a-judge,” learn lesser-known API parameters that can make or break performance, and close with the essential skill set every AI-native product manager will need to stay relevant — from data-informed strategy and competitive research to rapid validation and AI collaboration.

Samantha Lawson

ProductTank Salt Lake City

ProductTank

Technology

Innovation

Product Design

User Experience

Usability

Lean Startup

Product Development

Software Product Management

User Research

UX Design

New Product Development: Software & Tech

Product Management

Product Marketing

Technology Startups

Mobile User Experience

I study how artificial intelligence and human expertise can enhance one another in organizational settings. My research focuses on two complementary themes: *how AI can augment human decision-making* by improving learning, skill development, and productivity, and *how humans can augment AI*by embedding tacit knowledge and contextual insight to make systems more transparent, explainable, and aligned with real-world complexities. I am interested in examining how organizations can govern increasingly autonomous multi-agent AI systems, addressing challenges of autonomy, alignment, and accountability. Beyond research, I consult with companies such as Care.com, where I’ve helped integrate AI-based workflow automations across functional units, and developed conversational AI interfaces that enable users to interact with systems through natural dialogue.

ProductTank Salt Lake City

The AI-Native PM: Tools, Tactics, and Workflows for the Next Era of Product

ProductTank Salt Lake City

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