Product Manager — Ad Fraud, Cybersecurity & AI Agentic Trust

必須

• 3+ years in product management or a close role (product operations, growth, analytics).
• Comfortable with technical topics: APIs, data tracking, and platform integrations.
• Strong written and spoken English.
• Able to work in a hybrid setup from our Tokyo office.

歓迎

• Business-level Japanese - you will work with our Japanese team.
• Experience in Ad Tech, Ad Fraud, MarTech, or Cybersecurity.
• Interest in AI agents and modern AI tooling.
• Data tools (BigQuery, Looker, Google Sheets, Excel).
• Knowledge of ad metrics, fraud detection (bot traffic, click fraud), attribution, programmatic advertising, or cybersecurity.
• Experience in our exact domain is a plus, not a must. If you are a strong product owner and a fast learner, we want to hear from you.

求める人物像

• You like to own outcomes and make decisions, not wait to be told each step. When you raise a problem, you bring a possible solution.
• You enjoy a fast-moving team with open, direct feedback, and you see feedback as a way to grow.
• You want your work judged on real results. We run a performance review every quarter, based on outcomes.
• You stay calm when priorities change, and you keep clear communication with your teams.

使用ツール

Description

• We are looking for a Product Manager who can own products end to end - from discovery, to release, to real adoption by customers. This is an ownership role, not a support role. You will run product work for full delivery cycles, make product decisions, and be measured on what actually ships and gets used. You will work closely with engineering, customer success, sales, and marketing.

What you will own

• Product delivery across cycles. Act as Product Manager for full delivery cycles, from planning to release. You own the plan, unblock the work, and bring projects to "done" — done meaning shipped, tested, and adopted, not just coded.
• Product discovery and strategy. Research user problems, validate ideas, and write clear specs with success metrics. Look beyond single features: study new product categories we could enter and compete in, and size the opportunity. Every proposal should show its expected effect on revenue, churn, or customer adoption.
• Cross-team work. Be the product point person between engineering, customer success, sales, and marketing. Turn client and market problems into product decisions.
• Pre-sales and customer support (by request). Join selected pre-sales and customer-success calls to give product-level answers, and bring what you learn back into the roadmap.
• Stay close to real problems. When the business or a customer hits a hard product or technical question, you help find the answer - and you turn the problems that repeat into product improvements. This keeps your roadmap grounded in how customers really use the product.
• Build with AI. Use and build AI agents and tools in your daily product work to move faster and make better decisions. We are an AI-forward team and we like new ideas here.
• Data-driven decisions. Use dashboards, product metrics, and SQL/BigQuery reports to prioritize work and to check results after release.