Senior Manager, AI Self-Service Content & Knowledge

Bill

Quick summary

Work type
On-site
Location
Draper, UTSan Jose, CA
Salary
$150,800–$188,200 / yr
Posted
3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $215k
This role $170k
$139k most similar roles pay here $265k

This role pays less than 81% of similar roles. Most pay $184,150–$246,150 — the shaded band above. At the midpoint, this role pays about $170k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Bill

Bill.com (BILL) is a financial operations platform for small and midsize businesses that automates accounts payable, accounts receivable, and spend management to streamline financial workflows. Industry: Financial Technology & Business Payments

Bill currently has 2 open roles on FindRole.

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At a glance

TL;DR · Senior Manager, AI Self-Service Content & Knowledge

The Senior Manager, AI Self-Service Content & Knowledge role is a leadership position within the CXO AI Service Excellence & Operations team at BILL, focusing on transforming legacy documentation into an AI-optimized knowledge ecosystem. This individual will oversee the strategy and execution of global knowledge systems for both customer-facing and internal AI tools, ensuring fast, accurate, and trustworthy information delivery. Key responsibilities include architecting AI-ready content structures, designing taxonomies, and implementing Knowledge-Centered Service practices to enhance AI performance and user experience. The ideal candidate has extensive leadership experience in enterprise knowledge management within SaaS or FinTech environments, hands-on expertise with RAG architectures and LLM optimization, and a strong background in KCS principles. Proficiency in Python, natural language processing, and data analytics is essential for this role, which operates at the intersection of customer support, AI, and content governance.

What you'll do

  • Own and execute the end-to-end strategy for BILL’s knowledge ecosystem across AI Support Agent, Help Center, and internal AI tools.
  • Architect and refine AI-ready content structures to maximize LLM ingestion quality and RAG performance.
  • Design and govern enterprise knowledge taxonomies and metadata standards to ensure accuracy and compliance.
  • Implement Knowledge-Centered Service (KCS) practices for natural knowledge capture and enrichment in customer interactions.
  • Define and monitor KPIs to drive continuous improvement in self-service and assisted-service outcomes.

What we're looking for

  • 10+ years of leadership experience in content strategy, digital self-service, or customer experience operations.
  • Minimum 3 years directing enterprise Knowledge Management strategy in a fast-paced SaaS or FinTech environment.
  • Proven track record implementing generative AI concepts and tooling at scale, including RAG architectures and LLM optimization.
  • Demonstrated success designing and managing enterprise-level knowledge taxonomies, metadata models, and governance frameworks.
  • Subject matter expertise in KCS principles with experience embedding knowledge capture into frontline workflows in AI environments.
  • Ability to lead cross-functional initiatives, set vision, drive change management, and use data for prioritization and decision-making.

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