Currently tracking 36 active AI roles, up 16% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $124k–$485k (avg $265k).
What leadership said about AI on earnings calls (above the line, stacked by event type) vs how many AI roles the company actually posted (below the line). Each side scales to its own peak — read shape, not absolute height.
Trajectory events (left half, cyan) vs active AI roles posted (right half, slate), bucketed by stage. Darker cell = more activity for this company.
Management outlines strategy for proprietary versus open-source model usage.
“In some cases, that means fit-for-purpose proprietary models that outperform leading third-party alternatives. In others, it means post-training suitable open-source models in our own environment within our cloud infrastructure that deliver comparable outcomes to third-party models, but at a fraction of the cost.”— William J. Ready
CEO Bill Ready articulated the strategy that fit-for-purpose visual search wins over general-purpose LLMs.
“As AI adoption accelerates, general purpose search is increasingly up for grabs, as the largest players pour capital into general purpose LLMs. But fit-for-purpose search still wins in key verticals like travel and consumer products.”— Bill Ready
CEO Bill Ready emphasizes AI as a core competency for the visual search platform.
“As a visual search platform, AI is a core competency here at Pinterest.”— Bill Ready
CEO Bill Ready highlights AI as a core competency powering all content recommendations and ad serving.
“At Pinterest, AI is a core competency and has played a central role in how we have transformed our business over the last two-plus years for both our users and advertisers.”— Bill Ready
CEO Bill Ready outlines the vision for full AI-driven ad campaign automation.
“Our goal is for advertisers to be able to provide us with a budget, a goal, and their seed creative and we'll do the rest.”— Bill Ready
CEO Bill Ready on Pinterest's strategy of using unique platform signals to train fit-for-purpose models rather than relying solely on general-purpose models.
“I do think this first wave of AI or some of the first conversations in AI were about value accruing to the model creators and those who have like the largest general-purpose models. I think it's also the case that there's a distinct set of value creation around both fit-for-purpose models and taking unique signal applying it to those larger models, and you see us doing both.”— Bill Ready