Top Hybrid Jobs

Own senior client relationships and delivery success across multiple concurrent engagements. Lead engagement teams, manage scope, economics, profitability, and risk, and communicate with C-suite stakeholders. Develop team members, support recruiting, identify account growth opportunities, and contribute to business strategy. Collaborate with data, software, AI, and engineering specialists, using technical fluency to guide integrated solutions and deliver measurable client outcomes.

Monitor applications, platforms, servers, hardware, and network connectivity in a 24/7 NOC. Investigate alerts, troubleshoot system and network errors, identify root causes, triage incidents to appropriate teams, document issues in tickets, and resolve problems within NOC scope using terminal commands. The role requires on-site day-shift work on a rotating schedule and strong networking, Linux, monitoring, communication, and troubleshooting skills.

Build and optimize distributed compute infrastructure for large-scale analytical and AI workloads. Responsibilities include improving query execution, scheduling, resource allocation, reliability, workload routing, and compute efficiency across Spark and related systems. The role involves debugging performance bottlenecks, optimizing joins, scans, shuffles, caching, partitioning, and memory usage, and working with lakehouse formats and cloud object storage. Candidates will implement workload optimization algorithms and may contribute to open source or research.

Own Tomo’s data function, strategy, roadmap, platform health, and cross-functional measurement. Build and lead teams spanning data science, analytics, business intelligence, and data engineering. Design experiments, marketing attribution models, SQL queries, and dbt models while maintaining reliable data infrastructure. Partner with Product, Engineering, and executives to improve instrumentation, translate business questions into insights, and establish scalable data processes.

Design and manage CAD models, revisions, and bills of materials for physical products manufactured in-house. Develop prototypes, apply design-for-manufacturing expertise, and support the transition from rapid development to production. Collaborate with hardware, robotics, software, and field operations teams while improving engineering collaboration and CAD standards.

Manage and grow a portfolio of mid-size and enterprise advertising measurement clients through adoption, renewals, expansions, business reviews, and ROI realization. Lead pricing, scoping, negotiations, and deal operations while partnering with Sales, Services, Product, Marketing, Support, and Onboarding. Use brand lift expertise to guide measurement strategies, mitigate churn, identify product improvements, and develop customer success plans, case studies, and engagement campaigns.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

Own Earth’s product direction, roadmap, prioritization, product processes, and release rhythm. Partner with Engineering, Operations, Sales, Marketing, and Leadership to build consumer products for families and internal teams. Lead customer discovery, define success metrics, and drive launches and iteration. Build the Design function, hire the first Product Designer, mentor an existing Product Manager, and remain hands-on throughout the product lifecycle.

The Paid Media Specialist will execute and manage paid media campaigns, utilizing analytical and creative skills to optimize performance and achieve client goals.

Own the strategy, roadmap, packaging, and go-to-market evolution of Pluralsight’s AI, Cloud, and Security learning solutions. Design blended learning programs, define expert perspectives, identify content and lab components, monitor market needs, and use customer and learner data to improve outcomes. Partner with Product, Sales, Marketing, Curriculum, Engineering, and Services teams, support strategic enterprise deals, manage solution benchmarks, and drive adoption, renewals, and revenue growth.