AI Product Enablement Lead

Charles Schwab; Westlake (TX); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

401(k) with company match

Employee stock purchase plan

Paid time for vacation, volunteering,

Sabbatical after 5 years

Tuition reimbursement

Health, dental, and vision insurance

Job summary

Schwab is seeking a Senior Manager, Product AI Enablement (individual contributor) to shape how Product leverages AI across discovery, planning, development, validation, and measurement. You will own workstreams, drive AI‑driven product workflows, and collaborate with Product, Engineering, UX, Data, Architecture, Risk, and leadership to embed practical practices enterprise‑wide.

You will build standards, playbooks, and reusable assets, test pilots, and translate insights into scalable

Qualifications

• Bachelor’s degree; equivalent relevant experience will also be considered
• 5+ years of experience across product management, product operations, product enablement, or transformation, with strong end‑to‑end Product expertise spanning discovery, prioritization, requirements, delivery, launch, and outcome measurement
• 2+ years of experience applying AI‑enabled or AI‑driven approaches to product development, including identifying high‑value use cases, evaluating emerging capabilities, and translating them into practical Product workflows
• Working knowledge of context engineering and AI‑ready product documentation, including approaches for research and information synthesis, enterprise knowledge retrieval, memory systems, context libraries, and business capability maps
• Experience evolving traditional user stories into structured, reusable specifications, such as context packs or specification kits, that give AI tools and agents the goals, business rules, source knowledge, constraints, evaluation criteria, and acceptance criteria needed to produce reliable outcomes
• Experience using pilots, practitioner feedback, product and operational data, and measurable outcomes to prioritize opportunities, test assumptions, evaluate adoption and business impact, and continuously improve solutions

Responsibilities

• Own a defined AIDLC workstream, identifying high‑value opportunities and establishing clear Product responsibilities, decision rights, quality expectations, and cross‑functional collaboration points across the end‑to‑end lifecycle.
• Build, test, and scale Product standards, playbooks, templates, maturity guidance, and reusable assets that strengthen problem framing, requirements, prioritization, trade‑off decisions, risk management, and outcome measurement while allowing appropriate flexibility across products and delivery models.
• Partner with Product, Technology, UX, Data, Architecture, Risk, Business, and talent leaders to integrate AIDLC standards into operating models, governance, planning, delivery practices, tooling, performance measures, role expectations, and learning programs.
• Own a defined component of the roadmap for AI‑driven tools, platforms, agents, and skills that support Product workflows, translating practitioner needs into requirements and prioritizing capabilities based on user value, strategic alignment, feasibility, risk, and expected business impact.
• Clarify how AI tools and agents reshape Product workflows, defining where automation can accelerate work, where human judgment and accountability remain essential, and what responsible‑use controls, validation, skills, and adoption support are required.
• Lead pilots, prototypes, and continuous learning cycles that test assumptions, evaluate adoption, and measure improvements in quality, speed, capacity, client experience, and business outcomes; translate evidence and practitioner feedback into roadmap decisions and scalable improvements.

Skills

Product management

AI enablement

Cross-functional collaboration

Requirements engineering

Roadmapping

Discovery & planning

Education

Bachelor’s degree or equivalent

Advanced degree in engineering, technology, business or related field

Job description

Schwab is seeking a Senior Manager, Product AI Enablement (individual contributor) to shape how Product leverages AI across discovery, planning, development, validation, and measurement. You will own workstreams, drive AI‑driven product workflows, and collaborate with Product, Engineering, UX, Data, Architecture, Risk, and leadership to embed practical practices enterprise‑wide.

You will build standards, playbooks, and reusable assets, test pilots, and translate insights into scalable