Future-Proofing Your Tech Career (Fireside Chat)
summary
Explains how Time Study automates workforce time classification using machine learning trained on a year to 18 months of labeled, unstructured activity data, after shipping a low‑tech MVP and collecting real user input; claims millions in VC for the company and practical hospital deployments that reduced manual timesheet work. Recommends start low‑tech prototypes (WordPress/Groupon style), continual user feedback, and sandbox testing plus situational interviews to surface communication and troubleshooting skills.
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chapters (16)
- 0:00Introduction and background
- 1:03Less coding more thinking
- 4:14Time Study and customer empathy
- 6:21Rapid prototyping and feedback loops
- 8:35Balancing leadership and technical work
- 10:19Missed skills in tech careers
- 11:45Evaluating emerging tech
- 13:49Machine learning primer
- 15:59Hiring expectations at Time Study
- 18:25Building systems thinking skills
- 21:24Raising the bar for new tech talent
- 23:30Corporate vs startup environments
- 23:51Weak code interviews debate
- 25:37Growing skills outside work
- 27:25Pivoting to product leadership
- 29:08Closing remarks and resources
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