Product Intelligence Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Product Intelligence Engineer (AI): Building and maintaining the Product Operating System (PM-OS) using AI agents to automate planning, research, and analytics with an accent on agentic workflows and data integration. Focus on designing end-to-end AI agents, integrating LLMs with enterprise systems like Snowflake and Salesforce, and migrating traditional BI to conversational AI.
Location: Remote (Work from anywhere culture), with a presence in Bielsko-Biała, Poland
Company
is a leader in data integrity, providing software and data enrichment products to over 12,000 global organizations.
What you will do
- Design and build end-to-end AI agents, including personas, decision logic, orchestration, and context management.
- Translate ambiguous business questions from leadership into executable agent workflows and actionable insights.
- Integrate agents with enterprise systems such as GitHub, Snowflake, Linear, Salesforce, Tableau, and MCP servers.
- Develop robust prompting strategies and multi-agent workflows to ensure reliable and repeatable outputs.
- Own the semantic layer by defining metric definitions and data-model documentation between Snowflake and the agent layer.
- Lead the migration from traditional BI dashboards (Tableau) to conversational agent-based equivalents.
Requirements
- Hands-on experience building LLM-based agents using Anthropic API, RAG, vector stores, and frameworks like LangChain, LlamaIndex, AutoGen, or CrewAI.
- Proficiency in Python for building production-grade agentic workflows and system integrations.
- Solid experience with SQL and Data Warehousing, specifically navigating schemas and modeling data in Snowflake.
- Ability to translate complex business problems into technical data models and AI agent solutions.
- Business-level English communication skills for presenting findings to senior product and leadership stakeholders.
- 3–5 years of professional experience in software/data engineering, AI development, or a closely related role.
Nice to have
- Familiarity with Linear, ERP systems, Salesforce, or Snowflake data structures.
- Experience in product or data analytics within a software environment.
- Experience working within remote or distributed teams.
Culture & Benefits
- "Work from anywhere" culture with a distributed environment spanning 30 countries.
- AI-first organization that encourages the use of generative AI tools (Copilot, ChatGPT) to accelerate workflows.
- Strong commitment to career development, growth, and continuous learning.
- Culture based on core values of Openness, Determination, Individuality, and Collaboration.
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