Senior Product Lead, AI-Driven Digital Support

Charles Schwab

Austin (TX)

On-site

USD 140,000 - 200,000

Full time

29 hours ago

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Job summary

Charles Schwab is seeking an experienced AI Product leader to shape the future of Conversational AI, Search, and Digital Support across web and mobile. You will partner with product, engineering, data, design, risk, and service teams to deliver reliable, compliant client experiences that blend AI and human insights.

You will translate strategy into roadmaps, own end-to-end lifecycle, and lead executive communications.

Qualifications

:5+ years of digital product management experience.
Delivering complex digital platforms across web and mobile.
Influence stakeholders and drive alignment.
Agile experience (Scrum, backlog management, sprint planning).
Experience with conversational AI, search, chatbots, voice, or ML-driven products.
GenAI, LLMs, and AI system design principles.
Evaluate and improve AI quality, performance, safety.
Work with architecture, integrations, and data.
Write PRDs and define acceptance criteria.
Release management, lifecycle ownership, and product operations.
Translate strategy into actionable roadmaps and execution plans.
Executive presentation and storytelling to senior leadership.
Clear communication across technical and non-technical audiences.
Strong written documentation skills.
Organizational skills and multi-priority management.
Vibe coding and rapid prototyping experience.

Responsibilities

Define and execute product strategy across Conversational AI, Search, and Digital Support experiences.
Translate strategy into PRDs, roadmaps, and prioritized backlogs.
Maintain a continuous pipeline of deliverable work across multiple sprints.
Balance near-term delivery with long-term platform evolution.
Drive development of AI-powered experiences including LLM-based, deterministic AI, and hybrid systems.
Establish AI quality frameworks (evaluation, grounding, hallucination mitigation).
Partner with risk and compliance to ensure AI safety and governance.
Use transcripts, analytics, and experimentation to improve experiences.
Own end-to-end product lifecycle: planning, development, testing, release, optimization.
Lead release management, including notes, readiness, and stakeholder communication.
Ensure QA and production stability across features.
Maintain documentation across product, operations, and system workflows.
Lead cross-functional alignment across product, engineering, design, risk, compliance, and operations.
Influence stakeholders and drive decisions across leadership levels.
Champion Agile practices including sprint planning and backlog refinements.
Create executive-ready presentations communicating strategy, progress, risks, outcomes.
Simplify AI concepts for leadership; provide visibility into performance and decisions.
Demonstrate rapid prototyping and collaborate with engineering on approaches.