Becoming an AI PM | Aman Khan (Arize AI, ex-Spotify, Apple, Cruise)

Nov 14, 2024 1h 17m 23 insights Episode Page ↗
Aman Khan, Director of Product at Arise AI, shares insights on how to break into and thrive as an AI Product Manager, covering different types of AI PMs, leveraging AI tools for productivity, and strategies for success as a long-term Individual Contributor PM.
Actionable Insights

1. Focus on Problem, Not AI

Prioritize deeply understanding and solving customer problems, using AI as a tool to achieve solutions rather than building AI for its own sake. This approach ensures you’re addressing genuine business needs and not just replicating existing AI interfaces.

2. Build AI Product Portfolio

Create a portfolio of AI prototypes or products, even if they are just functional mock-ups, to demonstrate your thinking and building capabilities. This practical experience helps you stand out to hiring managers and showcases your interest in the space.

3. Embrace the “Wanderer” Mindset

As an IC PM, be comfortable with ambiguity and actively explore unknown paths to discover new product directions, continuously iterating until a clear product pull emerges. This is crucial for zero-to-one product development, even when others have clear roadmaps.

4. Bring High Energy to Work

Cultivate a positive and engaged demeanor in meetings and interactions, as bringing high energy can reduce friction, foster positive interactions, and elevate team morale and performance. Actively participate and demonstrate commitment to the work at hand.

5. Scale Yourself with AI Tools

Actively seek out and implement AI tools to enhance your personal productivity and ability to gather and analyze information, effectively scaling your capacity. For example, use LLMs to analyze meeting transcripts for common customer pain points.

6. Design for User Control

When designing AI products, incorporate the ‘IKEA effect’ by leaving users some control or ‘knobs and levers’ over the experience, even if full automation is possible. This increases user engagement and satisfaction by making them feel empowered.

7. Balance Value & Experimentation

Continuously deliver customer value while also creating dedicated space for AI experimentation and learning, accepting that some experiments will fail. This iterative approach is essential for adapting to the fast-evolving AI landscape and driving better deployment.

8. Continuously Learn & Have Fun

Prioritize having fun, continuous learning, and genuine curiosity in your work, as this mindset fosters faster iteration, higher energy, and greater long-term success. This approach makes the journey of product development more enjoyable and effective.

9. Deeply Understand AI Fundamentals

Build a foundational understanding of machine learning and AI concepts, such as how LLMs work, to grasp the technology’s capabilities and boundaries. Then, apply this knowledge to problems and industries that genuinely interest you.

10. Use AI for Prototypes

Leverage coding AI tools like Cursor and Replit to quickly build functional prototypes, enabling you to demonstrate possibilities and tell a story effectively in early product discussions. This raises the resolution of initial ideas.

11. Develop Strong AI Prompting

Cultivate strong prompting skills for AI tools to effectively guide them in generating desired outputs for prototypes, UIs, or graphics. The quality of the output depends on how well you can prompt the AI.

12. Experiment with New AI Tech

Actively experiment with new AI technologies as a consumer to discover ‘aha moments’ and identify potential applications for your product or team. This curiosity drives skill development and product innovation.

13. Be an Internal AI Expert

Position yourself as the internal expert on leveraging AI tools, combining deep customer problem understanding with knowledge of AI capabilities. This enables you to effectively advocate for what should be built within your company.

14. Avoid Replicating Chatbots

Do not blindly replicate popular AI interfaces like chatbots; instead, deeply analyze business needs and customer problems to design unique AI solutions. The most impactful AI interfaces may look very different from conventional chatbots.

15. Critically Evaluate AI Agents

Critically evaluate whether to build AI agents in-house or leverage foundational models and their agentic layers from external providers. Prioritize seamless integration of AI into existing products to create a magical, almost invisible, user experience.

16. Measure AI Experimentation

Establish metrics for AI prototyping and experimentation, such as ’number of shots taken,’ to measure the impact of AI initiatives beyond direct revenue, especially in early stages. This helps track progress when direct business metrics aren’t immediately affected.

17. Organize AI Hackathons

Organize hackathons to encourage hands-on experimentation with AI across the organization, making the technology more approachable and generating diverse problem-solving ideas. Use these to identify suitable problems for AI solutions.

18. Conduct AI Product Teardowns

Regularly conduct internal teardowns or webinars of cutting-edge AI products to foster a deeper understanding of the space and learn from successful implementations. This helps the team understand how AI works in practice.

19. Leverage AI for Empathy/Learning

Proactively ‘get into the details’ by taking on tasks outside your typical PM role, such as customer outreach or even sales, to gather insights and demonstrate commitment. This also builds empathy for team members’ roles and challenges.

20. Network Uniquely (Top 3 Content)

When cold messaging or networking, offer to share your top three favorite books, movies, or podcasts in exchange for theirs. This creates a unique and engaging way to stand out and build meaningful connections.

21. Understand AI PM Types

Familiarize yourself with the three main types of AI PMs (Platform, Product, Powered) to better understand potential career paths and how AI can integrate into or enhance various product management roles.

22. Use AI for UI/Landing Pages

Leverage AI UI generation tools like Vercel’s V0 to create beautiful landing pages or working UIs from prompts. This provides a strong, high-resolution starting point for design discussions.

23. Use AI for Graphic Design

Employ AI image generation tools like MidJourney or DALL-E for graphic design, logo creation, or visual storytelling. This makes user stories more approachable and tangible for stakeholders.