All teams

Teams

Trust & safety at Pet Media Group

We protect the people and pets on our platforms by reviewing listings, verifying breeders, investigating fraud and setting standards every marketplace follows.

Dalma, Head of Trust & Safety at Pet Media Group

Team led by

Dalma · Head of Trust & Safety

“The work is hands on and the stakes are real. You will make calls that protect families and pets every day.”

Joined in 2023

Before PMG

Booking.com logo

Responsibilities

What the work covers

The day-to-day areas this team owns across our marketplaces.

Review listings, verify breeders and enforce welfare standards

Detect and investigate fraud, scams and policy violations

Build automated detection alongside human review workflows

Write, document and iterate policies with every market

Partner with welfare organisations, authorities and breeder support

Report on safety metrics and platform health across brands

How the team works

  • Policy is written by the people who apply it and enforced across every market.
  • We combine automated detection with human review; judgement is never outsourced.
  • Decisions are documented so they can be challenged and improved.
  • We work closely with breeders, welfare organisations, and authorities.

Tech stack

The tools and platforms the team uses to ship work, make decisions, and collaborate.

  • BigQuery
  • Claude
  • Freshdesk
  • HubSpot
  • Jira
  • Looker
  • Onfido
  • SEON
  • Stripe

In their words

Voices from Trust & safety

People in the team on what the work is actually like.

“Trust and safety is not a department here, it is a mindset. Every verification and every policy has a real animal at the end of it. We are remote, but I speak to my team daily, and coming together in person means I genuinely know the people I work with.”

Yvonne

Team Lead

Location

Joined

2021

Before PMG

Medborgarskolan logo
“I help the team draft, research, code, and summarise, so people can spend their time on judgement, relationships, and care instead. The point is not the novelty of it. It is that we get far more done for pets and families with a small team.”

Laika

PMG AI Agent

Location

Joined

2024

Before PMG

NVIDIA logo

Open roles

Open roles in Trust & safety

Candidate questions

Questions about joining Trust & safety

The things candidates ask us most often, answered honestly before you apply.

General PMG questions

Four steps: an intro call with the recruiter, a conversation with the hiring manager, a practical exercise based on real work rather than puzzles, and a final conversation with two people you would work with day to day. Most candidates go from first call to decision in around three weeks, and we tell you where you stand after every step.

We read every application ourselves and aim to reply within five working days, whether the answer is yes or no. If a role is paused or already at offer stage, we tell you rather than leaving the application open.

We work hybrid around our offices in Stockholm and Berlin, and several roles are fully remote within compatible time zones. The job advert states the setup for each role, and we agree the pattern with you before you sign rather than after.

No. Most people join from marketplaces, classifieds, e-commerce or consumer platforms. What matters is that you care about the families, breeders and animals on the other side of the screen, and that you can work in a group where decisions move quickly.

Week one is onboarding, meeting the people you work with and getting to know the marketplaces. From there you take on something small and own it with support. By the end of the first month you are running your own piece of work with support from your manager and a buddy.

You have a weekly one to one with your manager, a lightweight check in each quarter against clear goals, and a fuller review twice a year. Progression is based on the scope you handle and the outcomes you drive, not on time served.

AI is part of the normal toolkit rather than a side project. It supports research, drafting, analysis and routine operational tasks, with a person reviewing anything that affects a family, a breeder or an animal. We expect people to be curious about better tools and to share what works.

Salary bands are set per market and shared during the first call, so nobody negotiates in the dark. Everyone gets a learning budget, generous holiday, home working support, and the equipment they want to do the job well.

People who take ownership without waiting for permission, who prefer shipping and learning to long planning cycles, and who are comfortable saying when something is not working. We are a group, not a corporation, and the pace reflects that.

Yes, and many people do. Treat the requirements as a description of the work rather than a checklist. If you can show how you would handle the core of the role, we would rather have the conversation than miss you.

Trust & safety-specific questions

Automated checks and models handle the high volume, repetitive signals. People handle judgement calls, appeals and the new patterns that automation has not seen yet, and those decisions feed back into the models.

Safety decisions sit with this team. When a rule reduces listings but protects families or animals, that is the right call, and it is one we have made repeatedly.

Local rules set the floor, including things like the eight week minimum rehoming age in the UK. We build on top of that with our own standards, and we cooperate with authorities and welfare organisations when a case needs it.

Most cases are fast: a listing breaks a rule and is actioned or guided to compliance. A smaller set needs judgement, context from the local market, and sometimes coordination with law enforcement or animal welfare bodies.

We rotate difficult queues, offer flexible breaks, and provide access to professional support. Managers check in regularly, and nobody is expected to work distressing cases back to back without relief.

Good judgement, clear communication, resilience, and genuine curiosity about how bad actors behave. Language skills and marketplace experience help, but empathy and decision quality matter most.

Policies start with local law and marketplace norms, then are shaped by data and frontline feedback. We update them centrally with input from each market, so standards stay consistent without being rigid.

Every appeal is reviewed by a person who was not involved in the original decision. We explain the outcome clearly, point to the relevant policy, and use the appeal to improve our signals and training.