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

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 CategoryOperationsJob DetailsAbout SalesforceSalesforce 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.ResponsibilitiesWorkforce Data Platform & AutomationDesign 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 attritionAI-Powered Insights & Predictive AnalyticsApply 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 dataDashboard Design & DeliveryDesign, 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 views Ensure dashboards are self-service, real-time (or near-real-time), and require zero manual intervention to stay currentHeadcount Management Lifecycle AutomationAutomate 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 provenanceCross-Functional Partnership & Stakeholder EnablementPartner 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 buildInnovation & Continuous ImprovementStay 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 fieldUnleash Your PotentialWhen 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.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $143,400 - $216,900 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.SummaryLocation: Washington - Bellevue; Washington - SeattleType: Full time