Product Ops Intern: AI‑Driven Ops (London)

Product Ops Intern: AI‑Driven Ops (London)

London Full-Time 19350 - 23650 £ / year (est.) No working from home possible
Vega

At a Glance

  • Tasks: Help build and operate AI-driven product workflows in a dynamic startup.
  • Company: Vega, an innovative early-stage startup based in London.
  • Benefits: Gain hands-on experience, work in a collaborative environment, and shape operational systems.
  • Other info: Perfect opportunity for early-career professionals looking to make an impact.
  • Why this job: Dive into AI-native product development and contribute to high-growth initiatives.
  • Qualifications: Passion for technology and eagerness to learn in a fast-paced setting.

The predicted salary is between 19350 - 23650 £ per year.

Vega is an early-stage startup in London seeking a hands-on early-career professional to help build and operate AI-enabled product workflows.

You’ll work with Product, Engineering, and leadership to own execution, design scalable internal processes, and drive client automation across the platform.

You’ll gain exposure to AI-native product development and have the chance to shape Vega’s operational systems while contributing to high-growth initiatives in a collaborative, fast-paced environment.

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Product Ops Intern: AI‑Driven Ops (London) employer: Vega

Vega is an exceptional employer for those looking to make a significant impact in the fast-paced world of alternative asset management. With a culture that thrives on high standards and autonomy, employees are empowered to take ownership of their work while collaborating with seasoned professionals from top fintech firms. The opportunity for personal and professional growth is immense, as team members contribute to innovative AI-driven solutions that are reshaping the industry.

Vega

Contact Details:

Vega Recruitment Team

We think you need these skills to ace Product Ops Intern: AI‑Driven Ops (London)

Python
Communication Skills
Problem-Solving Skills
SQL
Data Engineering
Attention to Detail
ETL/ELT Processes