Engineer in Residence

Entrée Capital is looking for an Engineer in Residence to join our team!

We are looking for a data-oriented Senior Full Stack Engineer to be part of our small team of experts. As the Engineer in Residence, you will lead the development of innovative data products that inform both tactical and strategic decisions at our VC. This role combines diverse skills such as data engineering, web development, orchestration of large language models (LLMs), web scraping, business automation, and more. While you may not be an expert in every area, we expect you to embrace our team’s can-do spirit!

You will report to the VP of Data and collaborate closely with the investment team to create solutions that directly impact the success of our portfolio and investment decisions.

This is a unique opportunity for a tech-savvy individual who enjoys working in a fast-paced, close-knit team, experimenting with diverse technologies and stacks, and operating with minimal bureaucracy. As an Engineer in Residence at Entrée Capital, you’ll gain great insights into the work of Israel’s leading investment team and develop a broad understanding of the startup ecosystem.

Responsibilities:

• Design and implement data pipelines and infrastructure for our core data platform.
• Develop dynamic, scalable, and cost-effective web scraping services.
• Design and implement LLM-powered decision support tools.
• Implement business automation workflows for a variety of business applications.
• Design and develop web applications, from backend to user interfaces, for our internal investment team.
• Work closely with stakeholders to understand business needs and translate them into technical requirements.

Requirements:

• Meaningful hands-on experience designing and implementing data pipelines.
• Strong proficiency in Python and data processing.
• Proficiency with data warehousing (e.g. using Prefect, DBT, Snowflake).
• Experience with web application development in NextJs / React.
• Familiarity with cloud platforms (AWS) and containerization (Docker).
• Strong problem-solving skills with an ability to think outside the box and develop unconventional solutions.

Preferred:

• Previous experience in the venture capital or startup ecosystem.
• Experience with AI/ML integration, including working with LLMs and AI-driven tools.