Professional network advancing women in cleantech and sustainability careers
Women in Cleantech and Sustainability is a San Francisco-based nonprofit network for women working across clean energy and sustainability. Its job-post signals skew toward industrial energy work — SCADA, MES, Maximo, Sungrow and an Azure data stack alongside battery and grid-scale storage projects — suggesting the hiring data reflects member-network and partner roles more than a typical nonprofit back office. Hiring is accelerating and engineering-heavy, with senior roles dominant.
Notable leadership hires: Chief Information Officer, Chief Executive Officer, Codes & Standards Lead
Women in Cleantech and Sustainability is a nonprofit founded in 2010 and headquartered in San Francisco, California. It connects women in clean technology and sustainability, from early-career professionals to executives, through recurring networking and education events. Programming spans renewable energy, water, smart grid, carbon reduction, sustainable transportation, energy efficiency and green buildings. The organization lists community, career development, thought leadership and gender parity among its focus areas and operates in the 201–500 employee range in the United States.
Women in Cleantech and Sustainability is headquartered in San Francisco, California, and its hiring activity is concentrated in the United States.
Its stack includes Salesforce, HubSpot, Airtable, Wix, Figma, Power BI, Dynamics 365, SAP, Oracle Cloud, Okta, Zoom, ServiceNow, Azure Data Factory, Synapse and Azure DevOps, plus industrial tools like SCADA, MES and Maximo.
Yes. Engineering is the largest hiring area, followed by operations, executive and legal roles, with senior-level positions most common and hiring velocity accelerating.
Other companies in the same industry, closest in size
Women in Cleantech and Sustainability'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.