ApplySarthi

Senior Product Manager, Fraud Risk Platforms

Jobgether

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439 open platforms roles across 87 companies are on ApplySarthi right now, most of them in Hyderabad (13), Bengaluru (8), Pune (3).

What platforms roles keep asking for: AWS (17%), Python (15%), Agile (13%), CI/CD (13%), Azure (13%), Observability (12%) — counted across their open postings here.

Product Manager jobs in the United States · Remote Product Manager jobs · Product management jobs

Jobgether has 4,372 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

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Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with Product management? Tell me one thing you learned the hard way.
  3. How do you decide what goes into the next release and what waits?
  4. Walk me through a feature you shipped. How did you know it worked?
  5. Tell me about a time engineering and business wanted different things.

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Accountabilities: Own and execute an outcome-driven product roadmap for fraud and risk case decisioning, covering AI-assisted review, automation, customer self-service, and case management. Partner with Risk Operations to understand workflows, identify operational pain points, and prioritize opportunities using case volume, handling time, workload, and other performance data. Define appropriate resolution paths for different case types, determining when cases should be automated, AI-assisted, self-served, or escalated to human review. Shape the complete case lifecycle, including case types, states, routing, prioritization, queues, resolution actions, closure criteria, and the evidence required for sound decisions. Lead product discovery and delivery with Engineering, Data Science, Analytics, Controls & Compliance, and other cross-functional teams. Translate complex business and operational needs into clear product requirements, acceptance criteria, measurable outcomes, and actionable roadmaps. Establish success metrics and analyze automation rates, workload reduction, self-service containment, AI review quality, decision quality, and operational costs. Ensure the operational impact of upstream risk models, orchestration, and tooling changes is understood before changes reach operational teams. Build strong auditability into automated and AI-supported decisions, ensuring decision rationale and supporting evidence meet applicable requirements, including anti-money laundering and responsible gaming standards. Influence senior stakeholders and cross-functional teams around product priorities, trade-offs, investment decisions, and measurable business outcomes. Requirements Bachelor’s degree or an equivalent combination of education, professional experience, and training. 7+ years of product management experience, with a strong track record of owning strategy and delivering complex products. Experience in fraud, risk, trust and safety, or large-scale operational automation environments. Demonstrated ability to define product strategy, develop roadmaps, and lead initiatives from discovery through delivery and iteration. Strong analytical and data-driven decision-making skills, including experience defining KPIs, evaluating product performance, and using insights to guide priorities. Experience collaborating across Engineering, Data Science, Analytics, Operations, Compliance, and business teams to create scalable technology solutions. Strong understanding of automation, AI-assisted decisioning, risk operations, case management, or foundational technology platforms is highly valuable. Ability to operate effectively in ambiguous environments, balance strategic objectives with immediate operational needs, and make thoughtful trade-offs. Excellent communication, stakeholder management, and influencing skills, with confidence engaging senior leaders and aligning diverse teams. Strong ownership mindset and customer orientation, with the ability to understand user needs firsthand and turn operational challenges into effective experiences. Experience in a regulated sector such as gaming, fintech, payments, insurance, or another highly controlled environment is a plus. Familiarity with customer-facing platforms, internal operational tools, artificial intelligence, and risk technology is advantageous. Benefits US base salary range of $136,000–$170,000 , depending on location, experience, skills, education, and other job-related factors. Eligibility for additional bonus and equity compensation . Comprehensive employee benefits package. Fully remote opportunity within the United States. Opportunity to work on AI-powered products and large-scale fraud and risk platforms. Exposure to highly cross-functional work spanning product, engineering, data science, operations, analytics, and compliance. Opportunity to influence products supporting expansion into new markets and evolving regulatory environments. Gaming licensing support where required by applicable state regulations.

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Listed on lever · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.