Austin Tech Week Workshop: The AI-Native Product Playbook for Growth Stage Companies
This workshop is organised by Softlandia as part of Austin Tech Week and requires an Austin Tech Week ticket. No ticket? Tell us about you, your company and your team, and we'll see what we can do.
A practical workshop by Softlandia on improving how your team develops products with AI, featuring guest Varun Kerof (ex-DoorDash, Amazon), Fractional CPO at Spin.
AI makes it easier to build more. Choosing what deserves your team’s attention and knowing whether it works still takes judgment.
Join Softlandia to explore how AI changes the way teams decide what to build, develop it, check it, and learn from users. Drawing on our product-development playbook and real customer cases, we’ll examine where changes to your team’s working practices can create the most value.
Who it’s for
Founders, CTOs, and product leaders with an existing software product and team who want to improve how they work with AI.
What you’ll take away
What the teams pulling ahead in AI products do differently
Where your team’s real bottlenecks are on the way to becoming AI-native
How close you are to AI-native, scored against best practices
Which gaps are the lowest-hanging fruit to fix first
Your first tangible step, and how to test whether it works
You’ll leave with a concrete way to improve how your team develops products with AI and a practical way to test whether it makes a difference.
Bring a real challenge from your team. We’ll guide you through questions to identify where work gets stuck, choose one change to try with AI, and decide how you’ll know it helped.
Who you'll hear from
Varun Kerof, Fractional CPO at Spin. Ex-DoorDash, Block, Amazon and Rappi | Product View
Luke Otwell, Applied AI Engineer at Softlandia | Presenter
Ilmo Lounasmaa, CEO at Softlandia | Host
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High-level session outline
What AI changes in product development and where new bottlenecks appear.
Softlandia’s playbook for deciding, building, checking, and learning.
Two contrasting customer cases showing different challenges and approaches.
A guided exercise applying the ideas to your own product or team.
Discussion, questions, and next steps.
Duration: 90 minutes, with additional discussion time if the final slot allows.