About Block Labs
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products.
We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence.
We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong.
The Role
We are hiring a senior, strategically minded Product Manager to act as a mini-business owner, with end-to-end ownership of Shield and Insights: two key modules within a soon-to-launch, next-generation white-label casino platform.
Shield: helps operators prevent fraud and abuse. It is our unified risk and decisioning layer. It brings together third-party risk tools such as Chainalysis, TRM, SEON, PSP fraud tools, and KYC providers, alongside internal behavioural data, into a single layer to provide risk scoring, review workflows, case management, reason codes, and auditability.
Insights: helps operators understand performance changes across the business. It is our operator intelligence layer moving from “what happened?” to “why did this happen?” and “what should we look at next?” through focused dashboards, reports, alerts, root-cause analysis, and human-language queries.
This role is weighted heavily toward Shield. We are looking for a Product Manager with strong product fundamentals and direct experience in fraud, risk, compliance, payments risk, transaction monitoring, decisioning, or case management products. iGaming experience is highly valuable, but fraud/risk product experience is the priority.
Your focus is the product: operator workflows, fraud/risk logic, decision experience, auditability, requirements, prioritisation, and commercial usefulness.
This is a hands-on role for someone who can turn complex operational workflows into clear, scalable product systems.
What You’ll Own
- Full product lifecycle of Shield and Insights, owning vision, roadmap, discovery, prioritisation, requirements, and iteration.
- Shield Performance: faster case review, better review quality, more consistent decisions, reduced false positives, clearer reason codes, and stronger auditability.
- Insights Performance: alert relevance, report usefulness, root-cause clarity, and faster understanding of performance changes.
- Cross-functional squads including design, dev, QA, and delivery - ensuring alignment, unblocking delivery, and holding the team accountable to outcomes.
What You’ll Be Doing
This is a hands-on role. You will:
- Run discovery with operators, fraud/risk teams, compliance stakeholders, analysts, casino teams, payment teams, and internal experts to understand real operational workflows.
- Define and maintain product artefacts covering problem statements, user journeys, workflows, success metrics, constraints, assumptions, trade-offs, and decisions.
- Translate fraud, AML, payments, gameplay, bonus abuse, and operator intelligence requirements into clear product requirements for design and engineering.
- Shape Shield’s risk decisioning capabilities, including risk scores, rule logic, case queues, review flows, reason codes, audit logs, operator permissions, and escalation paths.
- Shape Insights’ operator intelligence capabilities, including monitoring views, KPI definitions, report formats, alert logic, baseline comparisons, and AI-assisted explanations.
- Partner closely with the data and AI Technical Product Manager, delivering clear data and AI requirements so Shield and Insights get the technical support they need.
- Use data actively and critically, ensuring tracking reflects reality and turning operational insights into concrete product decisions.
- Engage stakeholders with clarity and intent, gathering input while retaining ownership of prioritisation and trade-offs.
What kind of culture can I expect?
Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.
Experience We’re Looking For
We don’t expect a unicorn - but we do expect strong Product Management fundamentals and directly relevant experience.
Required:
- 3+ years in a Product Management role.
- Experience owning or significantly contributing to fraud, risk, compliance, AML, payments risk, transaction monitoring, decisioning, or case management products.
- Experience working on products with complex backend logic, data dependencies, rules, scoring, workflows, or operational decision-making.
- Strong understanding of Product Management fundamentals, including discovery, requirements definition, prioritisation, delivery, stakeholder management, and iteration.
- Strong data fluency and the ability to turn operational insight into clear product decisions.
- Comfort operating in environments with compliance, regulatory, financial, or high-trust constraints.
Useful:
- iGaming, casino, sportsbook, or gambling platform experience.
- Experience with AML/KYT, wallet risk, KYC, identity risk, device intelligence, payment fraud, chargebacks, or withdrawal risk.
- Experience with rules engines, risk scoring, fraud review tools, compliance tooling, or case management systems.
- Experience with third-party risk or fraud providers such as Chainalysis, TRM, Elliptic, SEON, FingerprintJS, ThreatMetrix, Sumsub, Onfido, PSPs, or onramp providers.
- Exposure to bonus abuse, multi-accounting, gameplay risk, shared wallet/payment method detection, account velocity, or operator back-office workflows.
- Experience building dashboards, reports, alerts, anomaly detection, or operator intelligence products.
- Experience in B2B, SaaS, platform, or white-label environments.
- Practical AI literacy, especially around AI-assisted analysis, summaries, alerts, or decision-support workflows.
