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Design, develop, maintain, and support enterprise applications, backend services, RESTful APIs, integrations, and distributed systems. Own projects through design, testing, deployment, and production support. Troubleshoot complex issues, improve reliability and performance, maintain automated tests, contribute to architecture and code reviews, and enhance CI/CD pipelines. Collaborate with engineering, product, architecture, and business teams while evaluating emerging technologies and driving technical improvements.

The job description does not provide specific responsibilities, qualifications, education requirements, systems, travel expectations, or experience criteria for the Senior Compensation Analyst role. It includes company information, employee benefits, equal opportunity language, and incomplete placeholders for the department overview and role expectations.

Manage HR programs from planning through completion, including engagement, performance, wellness, charitable giving, surveys, and HR technology initiatives. Build project plans, coordinate stakeholders and vendors, track timelines and metrics, identify risks, improve processes, and use Monday.com, AI, and automation to streamline workflows. Partner with HR, Finance, Legal, IT, Internal Communications, and external providers while handling sensitive employee information with discretion.

Develop consumer-facing APIs, web components, and websites using Python and modern frontend technologies. Collaborate with iOS and machine learning engineers, monitor production performance, troubleshoot issues, write automated tests, contribute to architecture decisions, and prioritize work with engineering and product teams in an agile environment.

Develop and support backend services and internal applications using C#, ASP.NET Core, GraphQL, and REST. Investigate production issues, build third-party integrations, write automated tests, participate in code reviews and CI/CD, and independently deliver projects in a Kanban environment. The role includes evaluating AI-generated code, mentoring teammates, collaborating with product managers, and participating in an off-hours on-call rotation.

Own technical SEO for two ecommerce websites, including crawling, indexation, rendering, Angular SSR, site speed, Core Web Vitals, structured data, and AI-search visibility. Partner with engineering, product, content, and marketing to identify issues, prioritize fixes, review releases, and measure impacts on rankings, traffic, and revenue. Maintain SEO standards across site architecture, redirects, internal linking, experiments, and content templates.

Own the customer experience, product vision, roadmap, and go-to-market strategy for an app-based vision exam. Lead customer discovery, agile development, cross-functional collaboration, product analytics, compliance documentation, regulatory adherence, and feature launches. Partner with engineering, design, data science, marketing, ecommerce, legal, and compliance teams to deliver accessible consumer mobile experiences.

Build functional, testable AI-powered prototypes for mobile and web customer experiences. Research and integrate LLMs, conversational AI, recommendations, personalization, generative content, voice capabilities, APIs, cloud services, and customer data. Independently turn ambiguous concepts into proof-of-concepts, create reusable components, apply guardrails, and iterate based on customer and user feedback. Collaborate with marketing and design while using AI-native development tools to rapidly explore and validate new experiences.

Manage the end-to-end strategy, execution, optimization, testing, and reporting of YouTube advertising campaigns. Develop audience targeting, video-first creative strategies, and performance insights supporting brand and conversion goals. Provide paid social support across Meta and TikTok, collaborate with Creative, Analytics, and Paid Social teams, and translate campaign data into actionable recommendations.