engineering-metrics
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Jasmine Oliveira Measures the Work Without Losing Sight of the Worker
She began with Visual Basic, built software for molecular spectra, and joined Jellyfish when the whole company could fit around one lunch table. Now Jasmine Oliveira asks a harder engineering question: how do you measure work without shrinking people to numbers?
Dylan Etkin Measures the Moment Software Becomes Real
After helping Jira grow and watching Bitbucket scale, Dylan Etkin found the overlooked event that tells an engineering team whether its work matters: the deployment. Now he is applying the same practical instinct to AI skills, access and organizational memory.
Abi Noda Has Spent a Career Measuring the Friction Everyone Else Learned to Ignore
Before developer productivity became an AI-era boardroom question, Noda was chasing stale pull requests in Slack. Two acquisitions, a research company, and one very practical book later, he is still asking what gets in the way of good work.
Vitaly Gordon
Vitaly Gordon is the co-founder and CEO of Faros AI, an AI-native engineering intelligence platform he started in 2019 with former Salesforce colleagues. Before Faros, he founded Salesforce Einstein and led it as VP of Engineering and Data Science, scaling it from zero to a platform serving billions of predictions per day. Earlier in his career he was a data science lead at LinkedIn and a data science manager at LivePerson. He now builds tooling that helps engineering organizations measure and improve productivity, and navigate the shift to AI-augmented software development.
Andrew Lau
Andrew Lau is the co-founder and CEO of Jellyfish, the Boston company that pioneered the Engineering Management Platform - software that does for engineering organizations what Salesforce did for sales. An MIT-trained engineer who spent nine years running engineering at search pioneer Endeca, Lau reconnected with two former colleagues a decade later to build a tool that translates the work of software teams into language the business actually understands. Jellyfish has raised roughly $117M, tracks 600-plus engineering organizations, and sits at the center of the industry's loudest debate: how to measure what AI is really doing to software development.