Principal Technical Program Manager, AI Enablement
New
L
LINQ K-12 Education Software
RemoteFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSNode.jsJavascriptTypeScriptReactScripting
Requirements
- 8+ years in technical program management, developer experience, platform engineering, or a similarly cross-functional technical role
- Demonstrated ability to drive adoption of new tools and practices across an engineering organization
- Strong technical fluency: you can review prompts, evaluate AI tools, design workflows, and build prototypes (scripting, light app development, API integrations)
- Experience working with LLMs, AI copilots, or automation tooling in a professional context
- Exceptional written and verbal communication; you can explain complex technical concepts to a CFO and debug a prompt chain with an engineer in the same afternoon
- Comfort operating in ambiguity with minimal direction
- Experience in a PE-backed, multi-product SaaS environment (or similar complexity)
- Experience in K–12 education technology or another regulated vertical (healthcare, fintech)
- Familiarity with compliance frameworks relevant to AI deployment (FERPA, COPPA, SOC 2)
- Background in developer experience, internal tools, or platform teams
- Experience with JavaScript/TypeScript, React, Node.js, AWS
- Track record of building and scaling internal programs or communities of practice
Responsibilities
- Embed directly with teams across go-to-market, Engineering, Product, Operations, Finance, and Customer Experience to identify high-value AI use cases and unblock adoption
- Design, prototype, and ship internal AI workflows and tools (prompt libraries, automation scripts, internal apps) both directly and by enabling teams to become self-sufficient
- Evaluate and recommend AI tooling—LLMs, copilots, automation platforms—with a bias toward practical deployment
- Build reusable playbooks, templates, and reference implementations that teams can adopt independently
- Establish measurement frameworks to track adoption, productivity impact, and ROI
- Own select AI-driven initiatives end-to-end, from scoping through delivery
- Drive vendor evaluation, stakeholder alignment, implementation planning, and rollout for assigned initiatives
- Drive awareness, excitement, and fluency around AI across the organization
- Run workshops, office hours, and enablement sessions tailored to different audiences
- Partner with the CTO to refine and execute LINQ’s AI strategy
- Collaborate with Security (CISO) and Compliance to ensure AI tooling meets FERPA, COPPA, PCI, and CCPA requirements
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