Top Tech Jobs & Startup Jobs

Design and implement enterprise analytics tracking across web, mobile, and SPAs using Tealium and other TMSs. Maintain data layers and SDRs, configure tags and events, validate data integrity, collaborate with engineering teams, mentor junior staff, produce technical documentation, and support presales and thought leadership activities.

Manage and develop a team of Lead Development Analysts while owning operational reporting, dashboards, forecasts, and performance analysis for License Management and License Audit. Ensure lead quality and sales-readiness, identify bottlenecks, maintain consistent metric definitions, and provide leadership with recurring reports, trends, and insights to drive capacity and process improvements.

Responsible for developing and integrating MBSE models for spacecraft and ground systems throughout the product lifecycle. Engaging with stakeholders and maintaining interface control data, while also ensuring system reliability and performance.

The Senior Software Engineer will design and build cloud-native applications, lead technical initiatives, and mentor junior developers while collaborating with the product team.

The Community Operations Associate will onboard new users, provide real-time support, identify onboarding friction points, and contribute to community growth strategies.

The role focuses on business operations and strategy, aiming to unlock customer value through effective account expansion, contract management, and strategic communication with stakeholders.

As a Special Projects Operator, you'll manage multi-million-dollar projects, orchestrate a network of contributors, and optimize operational workflows while ensuring exceptional execution and quality standards.

Own end-to-end delivery of MGMA's web platform (marketing site, member/customer portals, integrations). Maintain backlog, write user stories and acceptance criteria, drive PDLC execution, partner with design/engineering/analytics, run experimentation, manage vendors and a small team, and measure product outcomes to optimize conversion, accessibility, and performance.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

Serve as trusted advisor for enterprise customers of an AI employer intelligence platform. Lead onboarding, implementation, training, and adoption. Build project plans, run business reviews, monitor engagement and risks, and identify expansion opportunities. Partner with Sales, Product, Support, and Marketing to drive ROI and support renewals and pre-sale activities.