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Senior Manager, AI & Workforce Intelligence — Trust & Infrastructure Operations

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Salesforce
Full Time position
Listed on 2026-08-25
Job specializations:
  • IT/Tech
    Business Intelligence, Data Engineering, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 143000 - 217000 USD Yearly USD 143000.00 217000.00 YEAR
Job Description & How to Apply Below

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Operations

Job Details About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Senior Manager of AI & Workforce Intelligence

As a Senior Manager of AI & Workforce Intelligence within the Trust & Infrastructure Business Operations team, you will own the design, development, and automation of intelligent systems that give operations leaders real-time visibility into the workforce — headcount, hiring pipelines, organizational health, and position lifecycle. You will be the technical and analytical bridge between raw, disparate data sources (Workday, finance systems, recruiting platforms, planning tools) and the polished, automated dashboards and insights that drive headcount decisions across a 5,000+ person engineering organization.

This is not a role that exists today — you will build it from scratch. You'll define the data architecture, select and integrate AI/ML tooling, and create self-sustaining automation pipelines that eliminate manual reporting and surface predictive insights. You will work at the intersection of data engineering, AI/ML, and business operations — reporting to the VP of Trust & Infrastructure Centralized Operations and partnering daily with Finance, Recruiting, Employee Success, and Engineering leadership.

The ideal candidate is deeply technical, obsessed with automation, fluent in AI/ML applications for business data, and energized by the challenge of turning messy, siloed workforce data into a single source of truth that leaders trust and act on.

Responsibilities Workforce Data Platform & Automation
  • Design and build an end-to-end automated data pipeline that ingests, reconciles, and normalizes workforce data from multiple disparate systems (Workday, Tableau, Google Sheets, finance extracts, recruiting tools, planning spreadsheets)
  • Create self-healing, scheduled automation that detects data drift, validates freshness, and alerts on anomalies — eliminating manual data pulls and reconciliation
  • Own the full lifecycle of position and headcount data: from requisition creation through offer acceptance, backfill, transfer, and attrition
AI-Powered Insights & Predictive Analytics
  • Apply AI/ML models to forecast attrition risk, hiring pipeline health, time-to-fill, and organizational capacity gaps
  • Build intelligent alerting systems that proactively surface workforce risks (e.g., span of control imbalances, unfilled critical roles approaching SLA, concentration risk in key functions)
  • Leverage large language models and agentic AI to automate narrative reporting, summarize organizational changes, and generate executive briefings from raw data
Dashboard Design & Delivery
  • Design, build, and maintain a suite of operational dashboards (Google App Script, Tableau, Google Sheets, web-based) that serve as the single source of truth for headcount management across Trust & Infrastructure
  • Create role-specific views — executive summaries for EVPs, SVPs, VPs, operational detail for managers, compliance and audit views
  • Ensure dashboards are self-service, real-time (or near-real-time), and require zero manual intervention to stay current
Headcount Management Lifecycle Automation
  • Automate the end-to-end headcount management lifecycle: position creation, approval routing, requisition tracking, offer management, onboarding triggers, and backfill initiation
  • Build workflow automation that connects planning decisions to downstream systems — when a leader approves a new headcount, the requisition,…
Position Requirements
10+ Years work experience
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