Product Specialist (UK)

present of AI; Greater London; Hybrid; GBP 35.000 - 50.000; Vollzeit

Zusammenfassung

Present of AI in London is seeking a hands-on customer support professional to answer questions, reproduce bugs, and turn them into clear reports for engineers. As the first London hire, you will shape how support runs, not just manage a queue.

You should have a few years in SaaS support or customer success, stay calm when customers are stuck, and enjoy digging into root causes. Empathy and clear explanations to customers and engineers remain essential.

Qualifikationen

• A few years of SaaS support or customer success experience.
• Ability to reproduce bugs and translate steps into reports for engineers.
• Calm under pressure when customers are stuck and focused on resolution.

Aufgaben

• Answer customer questions with clarity and empathy.
• Reproduce bugs and document clear, actionable bug reports for engineering.
• Collaborate with product and engineering to identify root causes.

Kenntnisse

SaaS support

Customer success

Bug reproduction

Empathy

Root cause analysis

Tools

Linear

Notion

Jobbeschreibung

This is a hands-on support role where the person answers customer questions, reproduces bugs, and turns them into clear reports for engineers. A strong candidate has a few years of SaaS support or customer success behind them, stays calm when customers are stuck, and enjoys digging into root causes. Being the first London hire also means organising workflows and shaping how support runs, not just working a queue.

How it fits the AI era

AI tools can help with drafting replies, sorting tickets and spotting repeated themes, which frees time for harder investigation. The product itself is AI driven, so some issues will be about unexpected search results rather than plain errors, and that takes judgement to diagnose. Empathy, deciding what matters most, and explaining a problem clearly to both customers and engineers stay human work.

How it builds AI experience

Working on an AI recruiting search product means seeing daily how people describe candidates in plain language and how the results respond. That is a close look at where AI search works well and where it falls short. To build this experience, try the product as a recruiter would, note odd results, and practise writing up what went wrong and why.

Worth showing

• Bug reproduction and clear reports
• Calm, empathetic customer communication
• Support tooling like Linear and Notion
• Spotting patterns in customer feedback
• Working across engineering and product

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Juicebox

PeopleGPT lets recruiters describe a candidate in plain English and, per the company, search hundreds of millions of profiles for a ranked shortlist, then keeps sourcing with always-on AI agents.