Sr Product Manager, Employee Experience

Location: San Francisco, CA or Mountain View, CA Job ID: GAQ426R322 Senior Product Manager (L5) for the newly formed People Pod at Databricks. This zero-to-one initiative focuses on building next‑generation agentic workflows that enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday. Opportunity Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. The team defines and delivers product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that surfaces the right tasks, insights, and actions in one place. What you’ll do Own the Zero‑to‑One Vision: Define and evolve the long‑term strategy for the unified employee and manager experience, focusing on advanced agentic workflows and automation tailored to the People function. Drive Product Strategy & Automation: Partner closely with developers, engineering teams, and stakeholders across People Operations and IT to design, build, and deploy intelligent agentic automation workflows on the Databricks platform. Domain Leadership: Serve as the primary product leader specializing in talent acquisition, hiring processes, and performance management workflows, transforming standard internal tools into highly optimized, automated experiences. Execute and Measure: Define success metrics (adoption, efficiency, engagement, automation accuracy) and use data‑driven insights to guide rapid iteration and development within an evolving field. Influence and Collaborate: Report directly to VP of Product in IT and work cross‑functionally to align engineering, design, and senior leadership around the automated product vision, evangelizing the roadmap in company‑wide productivity and AI discussions. What you bring 5+ years of product management experience, with a proven track record leading specialized, highly technical, or zero‑to‑one enterprise and internal product initiatives. Specialist Domain Expertise: Deep background in human resources and people‑process functions, with concrete experience in hiring, talent acquisition, employee experience and performance management. Agentic Automation & Advanced AI: Hands‑on experience or strong technical understanding of agentic automation, LLM orchestration, and modern AI‑driven workflows to streamline operational bottlenecks. Strategic & Product Thought Leadership: Demonstrated ability to own a product domain end‑to‑end, linking automation outcomes directly to corporate scaling and employee experience goals. Technical & Data Fluency: Strong understanding of building on advanced data platforms, user‑centered design, data‑informed development, and modern enterprise governance practices (e.g., RBAC/ABAC). Ambiguity Champion: Highly comfortable leading through extreme ambiguity, managing complex stakeholder landscapes, and collaborating directly with engineering pods to build applications from scratch. Preferred qualifications Experience developing custom productivity applications or automation layers on data platforms (such as Databricks). Familiarity with enterprise HR ecosystems like Workday, ServiceNow, or similar core systems of record, specifically regarding their API limitations and integration surfaces. Equal Employment Opportunity At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics. #J-18808-Ljbffr Databricks