• Digital transformation is at the heart of what we do — paper bureaucracy? Not here! We digitized the tax consulting sector from the start and have been setting new standards with our innovative web-based online accounting application since the early days of the internet. And we have much more planned! • Our vision: We want to shape the future of tax consulting and become even more efficient and user-friendly. We are already developing an app that will allow our clients to submit receipts easily and have them automatically posted — but that is only the beginning! • If you have experience in the IT industry, the ability to drive projects independently and with passion, and are ready to support us through an exciting change process, then you are exactly the person we are looking for.

• Drive the product vision, strategy, and roadmap. • Turn ideas into scalable product solutions for Independent candidates. • Organize user research and testing across a politically diverse user base. • Productize emerging AI tools to improve products and features. • Create funnels that drive user growth and adoption. • Validate ideas with quantitative and qualitative methods. • Report to CPO and collaborate with design and engineering teams.

• Own the Trust & Safety product strategy and roadmap translating business risk and user insight into a clear, prioritised plan. • Shift the function from reactive incident response to proactive, intelligence-driven fraud prevention: build the Risk Engine, data signals intelligence, anomaly detection, and investigation tooling that make this possible. • Ship AI-native T&S product experiences: partner with Data Science and Engineering to design, prototype, and productionise real-time detection and decisioning systems using ML models, LLMs, and behavioural signals. • Balance fraud mitigation with growth protection—ensuring T&S interventions do not unnecessarily create friction for legitimate users or throttle marketplace supply/demand. Make hard, evidence-based trade-off decisions. • Define and track the right T&S success metrics: fraud loss rates, false positive/negative rates, time-to-resolution, user trust scores, and financial exposure. Communicate impact in business terms to senior leadership. • Partner closely with Engineering leads, Data Science, Legal, Compliance, and Operations—holding shared accountability for outcomes and navigating competing priorities. • Build long-term instrumentation, monitoring, and evaluation capabilities to measure fraud rates, detection model performance, and contributor/user impact at scale. • Establish business cases quantifying fraud losses and ROI of prevention investments; secure resources and drive prioritisation grounded in data. • Ensure products and strategies meet local and regional compliance, legal, and security requirements across all markets. • Apply AI to how you operate as a PM: faster threat analysis, synthetic user research on abuse patterns, AI-assisted spec writing, automated experimentation pipelines—whatever moves the needle on velocity. • Represent Trust & Safety at the leadership level, presenting strategy, risk posture, and results clearly to executive audiences.

• Own the vision and roadmap for the policy development and testing tools, execution engine, data sources connector and content management interfaces • Run customer development with internal users (risk analysts, risk engineers, domain product teams) yourself - from interviews to validated problem statements • Do the full analysis cycle hands-on: requirements and business analysis, problem decomposition, solution options with trade-offs - leveraging the team and LLM tools where they help, including digging into the codebase • Drive the self-service target state and be responsible for the platform's key metrics: lead time for content delivery, self-service coverage, SLA, user CSAT, etc. • Prioritize one backlog across Risk B2C, Risk B2B, product streams - by quantified impact • Work daily with engineering on architecture trade-offs • Prototype hands-on, including with LLMs - validate ideas before consuming engineering time; design and automate internal processes • Own platform OKRs and answer for them at C-level