Product Operations Manager
New
Anywhere in Europe or the UKFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- PythonFigmaJavascriptJiraSlackNotion
Requirements
- 3–5 years in a cross-functional operational role (Product Operations, Program Management, Chief of Staff, or equivalent)
- Experience in a regulated product environment (fintech, payments, crypto, or similar)
- Demonstrable AI fluency, including having built an agent, automation, or internal tool
- Hands-on experience with no-code automation tools like Zapier
- Ability to write lightweight Python or JS scripts when no-code isn't enough
- Strong systems thinking ability
- Excellent written communication skills, documenting decisions and designing for scale
- Comfortable in the modern product stack (Linear or Jira, Notion, Slack, Figma)
- Experience with at least one product analytics tool (Mixpanel, Amplitude, PostHog, or similar)
- Background in payments, crypto, or regulated financial services (nice to have)
- Experience building internal tools from scratch (nice to have)
- Exposure to MiCA, PSD2, or other EU financial regulation (nice to have)
Responsibilities
- Own the operational backbone of the Product team including roadmap hygiene, release processes, and cross-functional coordination.
- Unblock the PMs by taking ownership of non-PM work such as user research logistics, competitive intelligence, feedback aggregation, launch readiness checklists, and documentation.
- Build and maintain systems of record including PRD templates, decision logs, OKR tracking, and product analytics dashboards.
- Run the feedback loop by aggregating and synthesising inputs from customers, sales, and support into structured, prioritisation-ready signals.
- Automate internal workflows using automations or lightweight scripts connecting Linear, Youtrack, Slack, Notion, and Gmail.
- Build internal AI tools and agents for PRD drafting, feedback triage, competitive analysis, etc., using custom GPTs, Claude Projects, and lightweight agent workflows.
- Use AI to accelerate analysis and reporting across product usage data, customer feedback, and market intelligence.
- Own AI-assisted knowledge management by building and maintaining a queryable, trusted documentation layer.
- Evaluate and roll out new AI tooling, staying close to the market and bringing in relevant tools.
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