Garrett Lord

Handshake uses AI interviewers and work simulations to replace reviewing 200 resumes, improving matching and saving employers billions.

He tells the team it’s “time to amp it up” and seize the once-in-a-lifetime AI opportunity, channelling passion and stamina into execution.

Future model advances will rely on new data types—CAD, scientific tool logs, multimodal audio and video—beyond today’s text corpora.

Garrett kept engineering, design, finance and ops entirely separate so staff had one job—making Handshake AI succeed.

Handshake AI adopted weekly, monthly and quarterly metrics from day one, unlike Handshake’s initial resistance.

Flat structure highlights individuals 'putting up points', fostering fun, results-focused environment.

Garrett Lord says incubating a new zero-to-one product inside a 600-person, 10-year-old company demands very different ways of working from running the mature core business.

Garrett says each project has a directly responsible individual chosen for capability, not role or seniority.

Garrett describes building a community-rooted expert network with cohort training to create a deep network effect that boosts retention and data quality.

A new intern used AI tools to squash a bug and ship his first PR on his first afternoon, illustrating accelerated onboarding and impact.