Offer Accepted Rebuilding Engineering Hiring for the Rise of AI with Jonathan Durnford-Smith, Synthesia
Hiring is changing quickly as AI tools reshape how teams build products and how companies evaluate talent.
Jonathan Durnford-Smith, Head of Talent at Synthesia, joins Shannon to discuss why recruiting teams must become more agile and strategic. He shares lessons from scaling talent functions at high-growth companies and explains how AI tooling is shifting what great engineers look like today. Instead of focusing only on coding execution, his team now prioritizes product sense, customer empathy, and strong problem definition.
Jonathan explains how Synthesia redesigned its engineering interview process, resulting in a hiring approach that adapts more quickly while maintaining a high bar for talent.
Key takeaways:
- Redefine engineering excellence: Evaluate engineers on product thinking and customer empathy, not only coding execution.
- Encourage AI collaboration: Allow candidates to use AI coding tools during interviews to better reflect real work environments.
- Define roles before hiring: Spend time clarifying the real problem the role must solve before sourcing candidates.
- Challenge hiring assumptions: Talent teams should question role definitions and push back when something feels misaligned.
Timestamps:
(00:00) Introduction
(00:48) Meet Jonathan Durnford-Smith
(01:48) Why agility matters in recruiting during the AI era
(05:03) How AI is changing engineering hiring
(06:00) Why product sense matters more than coding execution
(07:24) Redesigning engineering interviews around real business problems
(09:14) Why engineers must be comfortable using AI tools
(11:36) The signal great engineers show early in interviews
(13:52) The culture principle that enables agility
(16:30) Aligning hiring with company strategy and leadership bets
(17:29) Why recruiters must push back on hiring decisions
(20:25) Why hiring processes should be revisited every six months
(24:29) Where to connect with Jonathan