Product Manager - Especialista II (Motores de Decisão e Antifraude)
Jobgether
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This role on the market
102 open especialista roles across 20 companies are on ApplySarthi right now.
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What especialista roles keep asking for: Python (15%), AWS (13%), Express (13%) — counted across their open postings here.
Product Manager jobs in Brazil · Remote Product Manager jobs · Machine learning jobs · Microservices jobs
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for especialista roles keep coming back to Python, AWS, Express. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- How would you improve a product you use every day?
- Tell me about a product decision you made with incomplete data.
- How do you decide what goes into the next release and what waits?
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Practise the Product Manager - Especialista II (Motores de Decisão e Antifraude) at Jobgether interview free →Accountabilities:: Define and lead the strategic vision, tactical roadmap, and delivery milestones for the new anti-fraud and decision-making platform. Drive the modernization of legacy systems, coordinating the gradual decoupling and migration toward a microservices-based, event-driven architecture. Build strong relationships and establish trust with Business, Fraud Prevention Operations, Credit, Commercial Channels, and Compliance teams. Translate complex technical and architectural concepts into clear business value, ensuring alignment between technical priorities and organizational objectives. Establish effective product governance and executive communication practices, presenting architectural decisions, managing expectations, and reporting risks, dependencies, and progress to senior stakeholders. Lead discussions and stakeholder alignment in high-pressure situations, addressing technical challenges and conflicting priorities with confidence. Define, monitor, and optimize key product and operational performance indicators, including fraud loss rates, false positives, transaction analysis latency, risk engine SLAs, and system stability. Partner closely with Tech Leads, Software Architecture, Engineering, and Data Science teams to integrate predictive Machine Learning models and business rules efficiently. Ensure that platform capabilities support high availability, operational efficiency, and reliable real-time decision-making. Act as a product methodology reference within the squad, promoting continuous discovery, structured hypotheses, MVP definition, and technical refinement of API contracts. Balance transaction security, fraud prevention, operational performance, and customer experience throughout the product lifecycle. Requirements: Proven experience managing the full lifecycle of complex digital products, particularly transactional platforms, technology infrastructure, payments, credit, or risk and fraud prevention. Hands-on experience leading complex legacy modernization initiatives, including monolithic system decoupling, microservices architectures, messaging, and API integrations. Ability to coordinate transitions between legacy and modern environments while maintaining business continuity and minimizing operational disruption. Strong stakeholder management, negotiation, and relationship-building skills, with the ability to influence without formal authority and align teams with competing priorities. Excellent communication and strategic storytelling skills, particularly the ability to translate complex Engineering and Data Science discussions into clear insights for non-technical decision-makers. Strong analytical and data-driven decision-making capabilities, with familiarity with financial and fraud prevention metrics such as conversion rates versus risk, transactional churn, false positives, and chargebacks. Resilience, autonomy, and adaptability when working in ambiguous environments, with the ability to structure open-ended problems, identify uncertainties, and make strategic decisions with incomplete information. Academic background or professional experience at the intersection of Computer Science, Engineering, Economics, or related fields. Previous experience in anti-fraud environments, particularly with rule engines and the real-time integration of statistical models and Machine Learning solutions. Nice to have: Experience with large-scale omnichannel ecosystems, particularly in Retail, Franchising, E-commerce, or high-volume Fintech environments. Benefits: Health and Well-being Flexible medical and dental insurance plans. Medication assistance and health allowance for family members. Free psychotherapy sessions and 24/7 telemedicine services. Ongoing preventive healthcare, mental health, and vaccination programs. Food and Lifestyle Meal allowance or access to a local restaurant, plus a food allowance with an additional Christmas benefit. Discounts of up to 40% across the company's brand ecosystem. Gympass/TotalPass memberships for access to gyms and sports studios. Home office allowance for remote and hybrid employees. Birthday day off to celebrate your special day. Pet health insurance, exclusive partner discounts, and travel and accommodation programs. Family Support Extended parental leave: 180 days for mothers and 120 days for fathers. Dedicated support for parents of children with special needs. Babysitting and childcare assistance. School supplies allowance and child nutrition credit. Dedicated legal, psychological, and social support services. Financial Security Private pension plan and life insurance. Financial assistance in the event of a parent's passing. Payroll-deducted loan options. Transportation allowance and parking, depending on the applicable work arrangement.
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Listed on lever · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.