Jobs at Pluralsight

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

Lead architecture, build, and operate customer-facing analytics platform: design ELT and metric governance, implement low-latency serving (OLAP), ensure reliability/performance, mentor engineers, partner with product, and use AI coding tools to accelerate development.

Designs, builds, and operates ELT data pipelines and analytical datasets for Platform Analytics. Curates and models source data into conformed datasets, ensures performance, reliability, and cost efficiency, contributes to target-state architecture, mentors junior engineers, and uses AI coding tools to accelerate development and delivery.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead and grow a marketing operations team to own martech, lead management, campaign attribution, and GTM data architecture. Govern vendor lifecycle, design and maintain lead/campaign data flows, ensure CRM sync and data quality, and partner cross-functionally with Revenue Ops, Analytics, and IT to drive reliable reporting and platform transformations.

Design and manage assessment blueprints and items end-to-end, apply psychometric rigor (equating, calibration, reliability/validity), run item/test analyses, lead vendor/SME collaboration, maintain standards and QA, and own documentation and continuous improvement of the assessment portfolio.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

The AI Solutions Delivery Architect will design and implement AI-based solutions, aligning with business strategies to optimize transformation. This role includes evaluating AI platforms, leading AI deployments, and ensuring effective adoption strategies across teams.

Lead Pluralsight's curriculum strategy to identify and shape future skills; translate market and technology trends into a curriculum roadmap; align with product, GTM, and content production; measure portfolio performance with data; lead and develop curriculum directors and managers; define scalable frameworks and represent the company externally.