Top Tech Jobs & Startup Jobs

The AI Prompt Engineer II will design, build, and optimize prompting systems for large language models, develop evaluation frameworks, and improve user interactions while collaborating across teams to enhance AI-driven workflows.

As a Senior Product Manager, you'll lead customer acquisition product strategies and collaborate cross-functionally to enhance the user experience through data-driven insights and AI tools.

Design and optimize German-language chatbot flows and conversation copy, analyze transcripts and performance, apply LLM/NLP tools and prompt engineering, conduct QA and localization, collaborate with cross-functional teams, and contribute to special projects to improve engagement, conversion, and customer support.

Lead marketing analytics for international PPC campaigns by analyzing large datasets, building SQL-based dashboards in Power BI, designing A/B and multivariate tests, applying segmentation and predictive models, leveraging AI tools to create ad assets, and partnering with cross-functional teams to optimize Google Search and Display performance and improve ROI.

Design, implement, and scale full‑stack web applications and backend services (.NET Core, React/TypeScript). Build data pipelines, analytics integrations, CI/CD, and tests. Collaborate with Product, Design, and Data; use AI/LLMs and developer tooling; participate in code reviews, incident response, and architectural design for high‑traffic, observable systems.

The Lead Machine Learning Engineer will build and deploy ML models, design data pipelines, and collaborate across teams to optimize business outcomes.

Provide on-site travel coordination and office support for the Uzhgorod office: book and manage business trips within Ukraine, handle travel payments, expense tracking and records, welcome and assist visitors, manage deliveries, report local maintenance issues, and support internal events and office administration tasks.

Design, develop, and maintain scalable web applications and backend services. Improve performance and stability, respond to production incidents, perform code reviews, mentor teammates, and integrate AI/LLM features into products.

The Product Analyst at Pearl will conduct analyses, uncover insights, and provide actionable recommendations to inform product strategy and decision-making. This role involves collaboration with cross-functional teams and utilizing various analytics tools to drive business improvement.

As a Product Analyst, you will provide insights through data analysis, collaborate with teams for optimization, and drive data-driven decisions.