Remote Product Manager – QA‑Driven, AI‑Enabled SaaS

Proactive Appointments

Greater London

Hybrid

GBP 55,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Remote work
Annual leave
Discretionary bonus

Job summary

Proactive Appointments is seeking a Product Manager to join remotely with quarterly meet-ups in London. You will own defined product workstreams, write requirements, coordinate with engineering, and personally ensure what is built meets the standard.

You will work closely with QA and a senior PM in a fast-paced startup environment. The role emphasizes hands-on ownership of the product lifecycle, writing clear user stories and acceptance criteria, and leveraging AI tools to improve day-to-day

Qualifications

  • 2-5 years of experience in product management, QA, business analysis, or a closely related SaaS role.
  • Comfortable writing user stories, acceptance criteria and test cases with clarity and precision.
  • Hands-on experience with Jira and/or Confluence (or equivalent tools).
  • Actively uses AI tools in day-to-day work — and can demonstrate this.
  • Strong written communication: your documentation should be clear enough that an engineer can build from it without a follow-up conversation.

Responsibilities

  • Own defined product workstreams - writing requirements, coordinating with engineering, and ensuring built meets standards.
  • Close the loop yourself; there is no hand-off between product and QA.
  • Collaborate with QA to align on quality and acceptance criteria.

Skills

PM experience
User stories
Jira/Confluence
AI tools
Technical writing
Agile/Teamwork
Product ownership

Job description

Proactive Appointments is seeking a Product Manager to join remotely with quarterly meet-ups in London. You will own defined product workstreams, write requirements, coordinate with engineering, and personally ensure what is built meets the standard.

You will work closely with QA and a senior PM in a fast-paced startup environment. The role emphasizes hands-on ownership of the product lifecycle, writing clear user stories and acceptance criteria, and leveraging AI tools to improve day-to-day

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