Scaling teams, culture and product in the era of AI
- Part 1 Scaling teams, culture and product in the era of AI
- Part 2How will AI transform entry level roles?
- Part 3One mistake companies make when introducing AI to their organization
- Part 1 Scaling teams, culture and product in the era of AI
- Part 2How will AI transform entry level roles?
- Part 3One mistake companies make when introducing AI to their organization
Up Next:
-
Part 1Scaling teams, culture and product in the era of AI
Enterprise coaching at scale demands more than generic AI advice. Silvia Oviedo López, Co-founder and CEO of Blomma and former leader of 1,500-person teams at Canva and Pinterest, shares how she's building AI-powered coaching infrastructure that personalizes context across career transitions. The conversation covers a vision-plan-execution framework for organizational transformation, portable coaching context that persists as employees change jobs, and a proactive coaching model that surfaces threaded guidance rather than waiting for reactive prompts.
-
Part 2How will AI transform entry level roles?
AI proficiency now determines entry-level career trajectory. Silvia Oviedo López, Co-founder and CEO of Blomma who previously led global content discovery and international growth teams at Pinterest and Canva, argues organizations must abandon specialist-first hiring for zero-to-three-year professionals. She outlines a generalist-first talent model built on rapid skill acquisition, redefines the specialist-versus-generalist tradeoff for AI-native teams, and details what an AI-ready organizational culture requires at scale.
Play Podcast -
Part 3One mistake companies make when introducing AI to their organization
AI adoption speed determines competitive survival, not readiness. Silvia Oviedo López, Co-founder and CEO of Blomma who previously led global content discovery and international growth teams at Pinterest and Canva, argues that hesitation carries a higher cost than imperfect execution as switching costs continue to fall. She breaks down the "Goldilocks problem" of AI rollout pacing, why organizations must rebalance specialist versus generalist roles as AI reshapes workflows, and what building an AI-ready culture actually requires at scale.
Play Podcast





