AI-Driven Product Enablement Leader

Charles Schwab

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

4 hours ago
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Benefits offered by this job

401(k) with match
Paid time off
Sabbatical after 5 years
Parental leave and family benefits
Tuition reimbursement
Health, dental, and vision insurance

Job summary

Charles Schwab seeks a Senior Manager, Product AI Enablement to shape AI-enabled product workflows and standards. You will own enterprise workstreams across discovery, planning, development, validation, and measurement, partnering across Product, Engineering, UX, Data, and Risk to deliver measurable value.

Responsibilities include defining AI-driven tools, ensuring responsible adoption, and embedding practices into planning and governance.

Qualifications

  • Bachelor’s degree or equivalent experience required.
  • 5+ years in product management or transformation with end-to-end scope.
  • 2+ years applying AI-enabled approaches to product development.
  • Knowledge of context engineering and AI-ready docs.
  • Experience turning stories into reusable AI-focused specs.
  • Ability to use pilots and data to drive opportunities and outcomes.

Responsibilities

  • Own and lead a defined AIDLC workstream across lifecycle stages.
  • Build and scale product standards, playbooks, and reusable assets.
  • Partner with leadership to embed AIDLC into planning and governance.
  • Roadmap AI-driven tools and skills; translate needs into requirements.
  • Define where automation accelerates work and where human judgment remains essential.
  • Lead pilots and learning cycles to measure improvements and guide roadmaps.

Skills

AI-enabled product
Product management
Cross-functional
End-to-end lifecycle
Context engineering
User stories to specs

Education

Bachelor’s degree or equivalent

Job description

Charles Schwab seeks a Senior Manager, Product AI Enablement to shape AI-enabled product workflows and standards. You will own enterprise workstreams across discovery, planning, development, validation, and measurement, partnering across Product, Engineering, UX, Data, and Risk to deliver measurable value.

Responsibilities include defining AI-driven tools, ensuring responsible adoption, and embedding practices into planning and governance.

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