Senior Manager

Senior Manager Of Ai & Workforce IntelligenceSalesforce 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.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.ResponsibilitiesDesign 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 reconciliationOwn the full lifecycle of position and headcount data: from requisition creation through offer acceptance, backfill, transfer, and attritionApply AI/ML models to forecast attrition risk, hiring pipeline health, time-to-fill, and organizational capacity gapsBuild 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 dataDesign, 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 & InfrastructureCreate role-specific views — executive summaries for EVPs, SVPs, VPs, operational detail for managers, compliance and audit viewsEnsure dashboards are self-service, real-time (or near-real-time), and require zero manual intervention to stay currentAutomate the end-to-end headcount management lifecycle: position creation, approval routing, requisition tracking, offer management, onboarding triggers, and backfill initiationBuild workflow automation that connects planning decisions to downstream systems — when a leader approves a new headcount, the requisition, budget allocation, and recruiting intake should flow automaticallyImplement change detection and audit trails that track every position action with full provenancePartner with Finance, Recruiting, Employee Success, and Engineering leadership to understand their data needs and deliver solutions that reduce their operational burdenServe as the subject matter expert on workforce data integrity — rationalizing conflicting sources, challenging inaccurate data, and establishing governance standardsTrain and enable operations team members to leverage the dashboards and automation you buildStay current with emerging AI/ML capabilities, automation frameworks, and data engineering best practices — continuously evaluating new tools and approachesBring a builder's mindset: prototype rapidly, validate with users, iterate, and scale what worksDocument architectures, data flows, and runbooks so that the systems you build are maintainable and extensibleRequired Qualifications8+ years of experience in data engineering, business intelligence, workforce analytics, or a related technical operations role3+ years hands-on experience building automated data pipelines that integrate multiple disparate data sources (APIs, flat files, databases, SaaS exports)Demonstrated proficiency with modern BI/dashboard tooling (Tableau, Looker, or equivalent) including designing dashboards from scratchStrong programming skills in Python, SQL, or similar — with experience building production-grade automation (not just ad hoc scripts)Practical experience applying AI/ML to business problems — whether predictive modeling, NLP/LLM integration, anomaly detection, or intelligent automationExperience with workforce data systems (Workday, SuccessFactors, or equivalent HRIS) and understanding of headcount management processesTrack record of building something from zero — comfortable with ambiguity, able to define scope, and energized by greenfield workExcellent communication skills with the ability to translate technical approaches into business value for non-technical stakeholderPreferred QualificationsExperience with agentic AI frameworks, LLM-based automation, or AI-assisted workflow orchestrationFamiliarity with Google Apps Script, Google Workspace APIs, or similar integration platformsExperience with scheduling/orchestration tools (Airflow, cron-based pipelines, event-driven architectures)Background in HR analytics, people analytics, or workforce planning within a large technology organizationExperience with Salesforce's internal systems and data ecosystemBachelor's or Master's degree in Computer Science, Data Science, Statistics, Business Analytics, or a related fieldWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.