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# Support Manager (B2B SaaS, Care Sector)

- **Company:** Ai.
- **Location:** London, United Kingdom (Remote available)
- **Salary:** £30,000 - £33,000
- **Contract:** Internship / Graduate position
- **Skills:** Microsoft Excel, Agile Methodology, Artificial Intelligence, Cursor, Software Debugging, Github, Python (Programming Language), AI Platforms, Claude, Data Delivery, GPT, Software Version Control, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://tablecrowdtalent.typeform.com/to/gvXJYt

## About the Role

You'll own client data delivery from start to finish, manage client relationships, build a deep understanding of private markets and get hands-on experience automating work with AI., This suits someone who enjoys a fast-moving, changing environment and likes the idea of helping build something meaningful from an early stage., * A recent graduate in STEM, Maths, Economics or Finance, ideally with some relevant experience such as an internship or up to around a year in work.

 * Good at solving problems and happy working on your own initiative.
 * Proactive. You take ownership and come with solutions rather than problems.
 * Entrepreneurial, with a real drive to learn and grow.
 * Very detail-focused, with high standards for your own work.
 * A clear communicator, written and verbal, including with clients.
 * Strong Excel skills for analysis and reporting.
 * Working knowledge of Python for cleaning and analysing data.
 * Comfortable using AI tools such as ChatGPT, Claude or Cursor every day, including to write and debug scripts., * Some interest in or knowledge of accounting, private equity or venture capital.
 * Experience in a start-up, or familiarity with Agile ways of working.
 * Some understanding of version control, especially Git and GitHub.

## Description

The company is growing and needs a sharp Data Operations Analyst with a real eye for detail, sitting at the centre of how clients receive their data. Expect to learn a lot, and quickly.

You'll look after the whole data journey for clients, from the fund reports that come in, through extraction, checking and reconciliation, to the final figures clients rely on. You'll work closely with clients and the engineering team, and learn how institutional investors actually manage their private markets portfolios. Confidentiality matters a lot to these clients, so you'll also be trained to handle sensitive data to recognised security standards, which most graduates don't get to do this early on., * Pull financial data out of private fund reports using the company's AI platform, then check and validate the output before it goes to clients.

 * Reconcile figures carefully. When something like a NAV, cash flow or look-through number doesn't add up, work out why in a methodical way and fix it so it doesn't happen again.
 * Get data into client-facing applications accurately and on time.
 * Use AI tools and LLM workflows to automate manual processes, and help build out the data pipelines.
 * Flag extraction errors and suggest process improvements to the engineers, so the models and tools keep getting better.
 * Be the go-to person for client data queries, keeping communication clear and prompt.