Scale AI
Product Marketing Lead, Public Sector
Owns go-to-market messaging and launch content for agentic and data AI products sold to U.S. federal civilian agencies, based in Washington, DC.
Captured October 2026Still open as of Oct 11, 2026 ↗
The role
This role sits within the US Public Sector go-to-market team and bridges product, sales, and marketing to bring agentic and data solutions to federal civilian mission owners. The person will turn technically complex AI deployments into clear success stories while helping the team enter new civilian market segments. It reports to the principal product marketing manager for the public sector business.
What you would do
- Write case studies, one-pagers, briefs, eBooks, web copy, and decks that explain technical AI work in plain, persuasive terms
- Tailor messaging and collateral to the missions and priorities of individual federal agencies
- Build the copy and materials supporting product launches and marketing campaigns
- Help sales leadership and engineering open new civilian market segments through content, enablement, and campaigns
- Coordinate input from sales, product, and delivery teams and keep projects on schedule
- Measure how content and campaigns perform alongside cross-functional partners
- Work with communications and customer PR teams to land media coverage and speaking slots for joint work
What they asked for
- Six or more years in product marketing, ideally in business-to-government settings serving civilian agencies
- Proven ability to make mission owners care about technical deployments through human or national-impact storytelling
- Able to operate quickly and handle senior stakeholders without much direction
- Works well across sales, customer success, and product to gather information and build trust
Nice to have
- Background marketing AI or machine learning cloud infrastructure or data services
- Experience supporting partner marketing with government customers
- Hands-on work running content programs, account-based marketing, and lead generation
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