Jobs at Seeking Alpha

Build, execute, and optimize B2C email and lifecycle marketing campaigns using automation, segmentation, personalization, and A/B testing. Manage campaigns from copy and design handoff through QA and deployment, monitor performance, analyze customer and lifecycle data, and recommend improvements. Collaborate cross-functionally with growth, retention, copywriting, design, data, development, and QA teams while maintaining subscriber hygiene and regulatory compliance.

Analyze user behavior on websites and apps, focusing on KPIs and data visualization. Build dashboards, run A/B tests, and communicate findings to stakeholders.

Drive performance, refactoring, and architectural improvements across the codebase; design agentic AI workflows to speed development; optimize Web Vitals and real-user metrics; contribute to product design and UX discussions; write scalable, reusable TypeScript and Tailwind CSS code. Role is contractor (Private Entrepreneur).

The Senior Data Analyst will analyze B2C website data, create dashboards, track KPIs, and collaborate with business stakeholders on data-driven insights.

The Senior Data Engineer designs, builds, and maintains data infrastructure for large data sets, focusing on ETL processes and collaboration with stakeholders on data projects.

The Senior Data Engineer will design, build, and maintain data infrastructure for analyzing large datasets, focusing on data management, ETL processes, and collaboration with stakeholders to align data projects with business objectives.

Provide remote technical support across Windows, macOS, and basic Linux; lead IT projects and hardware/software rollouts; manage procurement, deliveries, and vendor relationships across Europe and Ukraine; ensure IT continuity and security; educate users to reduce recurring issues.

Own and optimize the retrieval layer for an LLM-powered financial intelligence product. Build hybrid (keyword + vector) search, integrate OpenAI embeddings with Elasticsearch, tune relevance, index long documents, and develop low-latency Python/FastAPI services to support RAG workflows.

Own and improve the retrieval layer for an LLM-powered financial platform: design hybrid (lexical+vector) search, integrate OpenAI embeddings into Elasticsearch, tune relevance with LangSmith, optimize performance and indexing for long documents, and build/maintain Python (FastAPI/Asyncio) backend services.