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Scale’s Public Sector business is growing, and we are seeking a driven GTM Lead, National Security & Intelligence to support expansion across National Security and Intelligence customers. In this role, you will be responsible for managing and growing a set of Public Sector accounts while leading a small, high-performing team focused on account execution, renewals, and expansion. You will work closely with Sales, Solutions Engineering, Product, and Delivery teams to help government customers successfully adopt and scale AI/ML solutions.
Job Responsibility:
Manage and grow a portfolio of Public Sector accounts across Intelligence, Homeland Security, and Federal Law Enforcement customers
Lead and mentor a small team (typically 4–8) of customer-facing professionals
Own account planning, renewals, and expansion motions
Build and maintain strong relationships with government stakeholders
Support the development and submission of proposals and responses to government solicitations
Coordinate internal resources across Sales, Product, Engineering, and Delivery
Track and manage account health, pipeline, and forecast accuracy
Gather customer feedback and insights to inform product improvements and GTM execution
Represent Scale in customer meetings, reviews, and select industry events
Requirements:
7–10 years of professional experience
Experience in a customer-facing role such as technical program management, engagement management, solutions delivery, or government programs
Experience supporting or growing government technology programs
Prior people management experience or demonstrated mentorship/leadership responsibility
A strong track record of managing client relationships and supporting account growth
Comfort working cross-functionally in fast-paced, ambiguous environments
A technical foundation or familiarity with AI/ML concepts
Strong written and verbal communication skills
Structured, analytical problem-solving skills
Strong organizational habits across multiple workstreams
Nice to have:
Education or professional experience in CS, engineering, statistics, or related fields