Jobs at Pluralsight

Own revenue expansion for assigned State, Local, and Education (SLED) accounts. Manage full sales cycle from lead to close, build executive relationships, develop account strategies, drive adoption of Pluralsight, coordinate extended account team, manage pipeline and forecasting, and meet quota while supporting customer success.

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.

Manage a portfolio of enterprise customers to drive adoption, retention, renewals and expansion. Own lifecycle from onboarding to renewal, use data and internal tools to measure health and utilization, take corrective actions, forecast risk and growth, and build trusted advisor relationships with senior technology leaders.

Lead design, launch, and lifecycle management of Pluralsight solutions (AI, Cloud, Security). Define expert POV, build curricula, labs, assessments, and blended learning programs. Own roadmap, metrics, GTM partnership with Sales and Marketing, and continuous iteration using data and SME collaboration to drive enterprise customer outcomes.

Own and evolve Pluralsight's Cloud and Security learning solutions by defining strategy, roadmaps, curricula, and KPIs. Partner cross-functionally to design blended programs (courses, labs, assessments, instructor-led training), support sales, monitor market trends, and iterate product offerings using data and customer feedback to drive adoption, pipeline, and measurable business outcomes.

Manage an enterprise portfolio end-to-end to drive adoption, retention, renewals, and expansion. Use customer health and utilization data to forecast risk, recommend corrective actions, and enable customers to realize value. Build executive relationships, guide implementations and learning strategies, and collaborate with sales to meet gross and net retention goals.

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.

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.