Product Owner

TYME PTE. LTD.; Região Norte; On-site; BRL 300,000 - 420,000; Full time

Job summary

TYME PTE. LTD. in Brazil's Norte region is seeking a senior Product Owner to lead financial crime, fraud and payments risk initiatives in a regulated environment.

You will own product strategy, collaborate with engineering, operations and compliance, and work with case management platforms (Pega, Appian, Camunda, ServiceNow) to shape AI-assisted workflows while prioritizing from data and metrics. The role requires strong communication, stakeholder influence, and the ability to operate across

Qualifications

• 5+ years in product ownership/PM with at least 3 in financial crime, fraud, payments disputes, risk operations, or a regulat­ed domain.
• Hands-on experience with case management platforms as a product surface.
• Outstanding written and verbal communication in English with ability to write specs without ambiguity.
• Demonstrated delivery of automation into live operational workflows and ability to work under high pace and risk environments.

Skills

Product ownership

Financial crime domain

Regulatory reporting

Stakeholder management

Data-driven decision making

AI-assisted workflows

Tools

Pega

Appian

Camunda

ServiceNow

Job description

Must-have

• 5+ years in product ownership or product management, with at least 3 in financial crime, fraud, payments disputes, risk operations, or a comparably regulated and operationally heavy domain.
• Working knowledge of financial crime servicing: fraud disputes, mule investigation, enhanced due diligence,STR and SAR reporting, sanctions and PEP screening, and regulatory reporting obligations.
• Hands-on experience with case management platforms (Pega, Appian, Camunda, ServiceNow or similar) as a product surface, not only as a user.
• Demonstrated delivery of automation into a live operational workflow, where the people doing the work had to change how they work.
• Genuine comfort withAI-assisted and agentic workflows, including where they fail, and how you would explain a model-assisted decision to a regulator.
• A strong analytical habit. You prioritise from data, and you define the measurement before you ship the feature.
• Demonstrated ability to lead through influence rather than authority, across product, engineering, operations and compliance, in an organisation where none of them report to you.
• Experience operating across more than one market or regulatory regime.
• Outstanding written and verbal communication in English, with the ability to write specifications that ship without ambiguity.

Strong plus

• Background in a digital bank, neobank, or payments business.
• Exposure to card scheme dispute and chargeback processes, including Visa dispute tooling and real-time schemeintegrations.
• Familiarity with real-time fraud alert and rules engines, and with device or behavioural risk signals.
• Experience with goAML or an equivalent regulatory reporting pipeline.
• Experience working through an outsourced or partner engineering model.
• Familiarity with data and analytics platforms in a financial crime context.
• Agile or squad model working experience.

Mindset

• A builder's bias: comfortable in 0-to-1 with high execution risk.
• Comfortable with ambiguity, fast pace, and the high-stress of challenge and fast-growth.
• Intellectually inquisitive and curious about emerging technology as a step-change lever.
• Strong attention to detail, but practical, entrepreneurial, and quietly relentless.
• A felt sense that there is areal person on the other side of every case, including the ones that turn out to be fraud.