WeVote operates a nonprofit voter-education platform designed to cut through political misinformation by aggregating candidate and ballot-measure information through trusted personal networks. The tech stack is lean—JavaScript, Python, Django, React on the backend; WordPress, HubSpot, Salesforce for ops—reflecting a nonprofit's resource constraints. Hiring velocity is accelerating across executive, research, and design roles, while internal focus areas (OKR alignment, volunteer recruitment, program evaluation) suggest the organization is scaling from ad-hoc civic engagement work into a more systematic, measurable operation.
Notable leadership hires: Chief of Staff, Deputy Executive Director
WeVote builds an open-source platform that helps voters understand ballot contents and candidate positions by crowdsourcing information from trusted peers rather than relying on campaign messaging or misinformation. The nonprofit is headquartered in Oakland, California and operates entirely in the United States. The platform empowers users to create and share voter guides within their networks, targeting voters overwhelmed by ballot complexity and misinformation. The organization runs on 51–200 staff, with current hiring concentrated in leadership, research, and creative roles as it works to scale program impact and improve operational rigor around goal-setting and volunteer coordination.
WeVote uses JavaScript, Python, Django, and React for platform development, with WordPress, HubSpot, Salesforce, and Google Analytics for operations and marketing. Testing is handled by Selenium, Appium, and BrowserStack.
WeVote is headquartered in Oakland, California. The organization was founded in 2014 and operates as a nonprofit.
WeVote's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.