Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Trust & Safety Product Manager (Full Remote – Germany)
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- Remote from
- Germany
- Salary
- USD 95k–125k / yr
- Department
- Product & Operations
- Employment
- Full Time
- Experience
- Director
- Published
- Apply before
- 14 Nov 2026
- Listing views
- 46
- Application actions
- 2
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The role, at a glance.
This Trust & Safety Product Manager owns safety, compliance, and moderation product delivery for an AI companionship platform. The role translates legal requirements, policy, incidents, and user feedback into product requirements, engineering work, safeguards, and measurable outcomes. It partners closely with Engineering, AI/ML, Legal, Compliance, Customer Support, and third-party safety providers. Core work includes EverGuard moderation improvements, safety dashboards, red teaming, feature reviews, incident remediation, and QA. The environment is highly autonomous, fast-moving, and requires comfort working with lawful adult and NSFW AI-generated content.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Pace & Pressure
5/5Autonomy Level
5/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would first clarify the legal intent, affected users, and risk scenarios with Legal and Trust & Safety stakeholders. I would translate these into measurable requirements, acceptance criteria, controls, and ownership, then prioritize them against severity and likelihood. After launch, I would monitor leading and lagging metrics, investigate gaps, and iterate on the safeguards.
I would define policy-aligned quality metrics such as precision, recall, false-positive rate, false-negative severity, appeal outcomes, reviewer agreement, and time to intervention. I would segment results by content type, language, user journey, and high-risk edge cases. I would use recurring human QA, adversarial tests, and incident data to guide threshold, taxonomy, and intervention improvements.
I would build a threat model that distinguishes permitted adult expression from prohibited harm, exploitation, illegal activity, privacy violations, and coercive behavior. I would create test suites for jailbreaks, context manipulation, evasion attempts, and harmful multi-turn interactions, then rank findings by severity and exploitability. Each finding would have a remediation owner, verification plan, retest date, and closure criterion.
I would begin with a clear problem statement, required coverage, policy fit, latency, accuracy, privacy, security, integration effort, and cost constraints. I would run structured vendor evaluation and testing against representative and adversarial data before rollout. After implementation, I would monitor agreed service levels and quality metrics, maintain escalation paths, and regularly reassess whether the provider continues to meet the product's safety needs.
I would make the trade-off explicit using evidence: user harm potential, regulatory exposure, operational burden, and expected impact on product metrics. I would seek a proportionate control that reduces material risk without unnecessarily restricting legitimate use, such as graduated interventions or targeted thresholds. If residual risk remained high, I would clearly document it and escalate the decision to the appropriate product, legal, and executive stakeholders.
About this role.
Our Vision & Products
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years — Help Us Reach 100M first, 500M next
At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we’re not just building products — we’re creating entirely new categories.
Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And we’re only just getting started!
Our Team
We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
Maruša Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)
Your Role
We are looking for a Trust & Safety Product Manager to own the product and technical delivery of our compliance and safety initiatives across our platforms.
You will turn safety requirements into effective product features, moderation capabilities, third-party integrations, and measurable improvements. Working closely with Compliance, Engineering, AI/ML, Product, and Customer Support, you will help us identify risks earlier, build safeguards into new features, and continuously improve how our safety systems perform.
This is a newly created role within our Product team, working directly with our CTO, Michael Monin and our Legal & Safety Lead, Maxwelle Sokol. You will have significant ownership from the outset and the opportunity to shape how the safety product function develops as the company continues to grow.
Our platform serves adults and permits lawful adult content. We are looking for someone who can navigate sensitive, context-dependent issues thoughtfully, protecting users and enforcing clear boundaries without unnecessarily restricting legitimate expression.
Here’s what you can expect:
Key Responsibilities
Safety & legal product strategy and delivery. Translate safety policies, legal requirements (e.g., in online safety and AI-specific laws such as the EU AI Act), incident findings, and user feedback into clear product requirements, acceptance criteria, and engineering work. Drive initiatives from problem definition through implementation, testing, launch, and ongoing improvement.
Internally developed moderation technologies. Own the product side of improvements to our in-house moderation systems, including our proprietary LLM technology EverGuard. Partner with Engineering and AI/ML teams on, e.g., detection capabilities, moderation rules and thresholds, and appropriate interventions across user inputs and AI-generated outputs.
Third-party safety partnerships and integrations. Lead the technical and product lifecycle of third-party safety partnerships, from identifying needs and evaluating providers to implementation, testing, rollout, and ongoing performance management.
Safety dashboards, monitoring, and quality assurance. Establish dashboards and a recurring QA that help us proactively identify emerging issues, prevent harmful content, and ensure that our T&S measures are working as intended.
Red teaming and adversarial testing. Own our testing for how moderation systems and product safeguards respond to deliberate misuse and difficult edge cases. Track findings through remediation, retesting, and closure—not just delivery of a report.
Trust and safety reviews for new features. Establish and run a dedicated T&S review for new features, with proportionate reviews for material changes to existing features, models, and integrations. Engage early in product design to identify foreseeable misuse, affected users, and appropriate safeguards.
Incident follow-through and continuous improvement. Coordinate the product and engineering response to significant safety issues, working with colleagues responsible for incident management, policy, and user support.
Learn more about our Trust & Safety infrastructure in our Trust & Safety Hub.
Your Qualifications
Data-driven product decisions that align with legal/ethical standards: You can name the metrics you want to influence, explain why it matters, and say whether your work actually moved them. You’ve run A/B tests, product experiments, data deep-dives, or lightweight user research and used the findings to shape what was built next. You can assess risks associated with user-generated content, transactions, and interactions, and translate these into policies that align with legal and ethical standards, trackers/dashboards, and strategic planning;
Content moderation and AI guardrails: You understand how product realities and safety requirements interact on a tech platform; you explore strategies for efficient and scalable content moderation, including automation, machine learning, human review and user reporting.
Legal/safety work experience: You have worked closely with trust and safety and compliance requirements and understand how to translate and implement these for a consumer-facing product;
Collaborative mindset and communication: You work cross-functionally with engineering, legal, operations, and customer support teams — these are your partners and support system, not your adversaries or a box to be checked. You ask the right questions, challenge assumptions constructively, and are fully fluent and comfortable in English;
AI fluency: You are completely comfortable working with and leveraging AI tools. You actively seek out and experiment with new tools and techniques without waiting for a project or manager to require them;
You are point person for third-party partnerships: You proactively test and can autonomously handle discussions with third-party tools and integrations that affect our compliance and safety posture;
You take ownership and move without waiting for certainty: Comfortable with ambiguity, you create clarity by investigating, building, testing, and learning rather than waiting for a complete brief. You balance execution against planning, address blockers early, and take responsibility for the outcome rather than waiting to be told what to do, caring more about reaching the right result than following a fixed process;
You are comfortable with the product category: you are fully comfortable building products based on uncensored models and content;
Bonus points
You have previous legal/compliance education
Professional experience or interest in AI
Experience with consumer-facing features, particularly in the entertainment or gaming industry
Soft Skills
🗣 Strong communication & collaborative skills (perfectly fluent in English)
🎯 Goal-oriented, ownership and commitment
⚡️ Doer mindset – we are moving fast and need people who can balance execution, planning, and strategy
🧢 Humble – willing to learn, open to feedback
🍭 #NSFW – Comfortable reviewing and discussing uncensored AI-generated content and NSFW material
We believe strongly that information can be learned, but effort and motivation cannot. If this role appeals to you but you don’t have hands-on experience in all the fields listed in this job description, apply anyway and tell us why you’d be a good fit!
Why EverAI?
📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond
🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it
🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship
👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
What We Offer
✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨👩👧👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
* 💸 Compensation: Our salary ranges are set based on role level, scope, location, and market data, and applied consistently regardless of candidate background or negotiation history. The final offer within the published range reflects assessed experience and scope.
🎯 Top Tier Talent Is Our Multiplier
We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.
We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If that’s you — reach out and apply!
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