Product Engineer

Responsibilities

• Drive documentation of existing tools & processes
• Manage forms and interfaces for data entry and process support

• Knowledge archive
• Meeting tracking automation
• Source tracking automation
• Document management with AI enhancement

• Focus new deliverables onto our Palantir Foundry platform as appropriate
• Develop the live portfolio dashboards for various funds
• Develop and socialize automated task management solutions for our teams
• Create a variety custom GPTs / Copilots / Automations to help with day-to-day tasks

• Manage advanced Microsoft 365 application implementation, including CoPilot, Planner, Power Automate, and Power BI.

• Maintain technical documentation for all in-scope systems.
• Conduct training and knowledge sharing sessions to enhance user proficiency.
• Stay informed about industry trends, emerging technologies, and updates related to our technology environment.
• Propose enhancements to improve user experience and productivity.

• Coding languages:
  Python, SQL, Type Script
• Experience working with databases and data pipelines / ETL workflows
• Experience working with APIs and web scraping
• Experience with data visualization tools (Power
  
  BI, Tableau, custom dashboards)
• Experience with Agile project management and / or product management
• Experience with Airtable, Microsoft Power Automate, Power BI, Cloud infrastructure (AWS / Azure / GCP)
• Microsoft 365 Proficiency:
  Familiarity with Microsoft 365 applications, administration, and troubleshooting.
• User-Centric Mindset:
  Ability to empathize with users, communicate effectively, and provide exceptional client support.
• Technical Aptitude:
  Understanding of hardware, software, and networking concepts, Mac and PC.
• Problem-Solving
  
  Skills:
  
  Resourcefulness in diagnosing and resolving technical issues.
• Certifications:
  
  Relevant certifications (e.g., Database, AI, Automation and Visualization) are advantageous.
• Education:
  
  A degree in Information Technology, Computer/Data Science, or a related field.
• Minimum 5 years experience in the required fields

• Mid-Senior level

• Full-time

• Information Technology