Top Tech Jobs & Startup Jobs

The IAR Data Analyst extracts, processes, analyzes, and reports on large datasets to generate actionable insights. Responsibilities include building dashboards, performing ad hoc and statistical analyses, supporting ETL and data pipelines, ensuring data quality, and communicating findings through data storytelling. The role partners with Data Engineering, Product, Marketing, Finance, and other stakeholders to analyze customer journeys, marketing funnels, engagement, conversion, and program performance.

Leads and develops an AI Engineering team delivering production-ready AI applications and services. Responsibilities include setting technical strategy, managing roadmaps, guiding generative AI and LLM initiatives, establishing engineering standards, promoting responsible AI, mentoring talent, evaluating technologies, and partnering with Product, Security, Data, Legal, and business stakeholders. The role is onsite five days weekly in Raleigh, North Carolina, with occasional travel.

Develop and support scalable full-stack software platforms using Angular, Nest.js, Node.js, Python, and modern data technologies. Responsibilities include architecture, implementation, testing, troubleshooting, observability, modernization, AI/ML integration, and production support. The role partners with cross-functional teams, leads complex initiatives, mentors engineers, improves engineering standards, and contributes to cloud-native and event-driven systems. This is a full-time, in-office position in Salt Lake City with occasional travel.

Manages end-to-end information technology projects, including planning, scheduling, budgets, risks, dependencies, resources, vendors, and delivery tracking. Leads Agile ceremonies, removes impediments, coordinates cross-functional teams, maintains project documentation, supports testing and implementation, and communicates status to stakeholders. Ensures deliverables meet technical, quality, compliance, budget, and deadline requirements while driving continuous improvement.

Own the strategy and execution of marketing optimization products across the learner journey. Develop roadmaps, define requirements, lead funnel optimization, coordinate cross-functional delivery, establish release strategies, monitor performance metrics, and guide modernization investments. The role requires strong product management, software architecture, cloud platform, analytics, and marketing technology expertise, along with the ability to influence multiple teams and communicate effectively with technical and business stakeholders.

Provides technical leadership across software engineering teams, guiding architecture, engineering practices, system administration, and major initiatives. Designs scalable, secure, reliable cloud-based solutions; improves platform performance and operational excellence; evaluates emerging technologies; manages technical risks and dependencies; and mentors engineers. Requires strong stakeholder communication and expertise in software development, system design, cloud operations, and delivery methodologies.

Manage and QA marketing automation campaigns and workflows in Marketo and related tools. Ensure data quality, audience segmentation, integrations with Salesforce, run tests and reporting, troubleshoot issues, and collaborate with Email/Engagement and cross-functional teams to optimize lifecycle communications.

Leads the evolution and governance of WGU’s Salesforce ecosystem through hands-on engineering, architecture implementation, integration design, security and compliance standards, data-model governance, platform health assessments, and technical mentoring. The role establishes engineering and DevOps standards across teams, supports emerging Salesforce capabilities, manages technical debt and enterprise architecture decisions, and aligns technical strategy with product, operations, and academic stakeholders.

Design, develop, test, deploy, and maintain scalable web applications and services for online education. Build RESTful APIs, integrate distributed systems, work with cloud platforms and relational databases, troubleshoot production issues, improve reliability and performance, and participate in architecture discussions, code reviews, automated testing, documentation, and Agile collaboration.

Leads and develops a software engineering team building Salesforce-based systems, custom services, integrations, and AI/LLM workflows for student placements. Responsibilities include hiring, coaching, architecture, code reviews, hands-on development, AI strategy and governance, platform decisions, Agile delivery, budgeting, and production support. Requires strong Java enterprise development, engineering management, application architecture, APIs, integrations, and technical leadership.