Manager II, Risk Mining, Account Integrity

Amazon is hiring a Manager II, Risk Mining, Account Integrity in Bengaluru, India. Level rates it ; you can apply on Level.

AI in this role

Lead a risk mining team detecting automated abuse and partnering with machine learning engineers to build upstream defenses.

people-managementfraud-detectionanti-automationrisk-managementmachine-learning-collaboration

Amazon's Account Integrity Team (AIT) within Buyer Risk Prevention (BRP) protects hundreds of millions of customers by identifying and stopping fraudulent activity before it causes harm. The Risk Mining function is where human ingenuity meets machine learning - our team detects emerging modus operandi (MOs) that automated systems alone can't catch, and feeds those signals back into scalable upstream defenses. Nowhere is that fight sharper than in Anti-Automation, where we go head-to-head with bots, scripted attacks, and automated abuse that evolves by the hour. If you want to lead a team whose daily work directly translates into customer trust at global scale, this is the role.

The Manager II (Risk Mining) will own and lead the Anti-Automation Risk Mining team in India - a team of ~10 analysts, investigators, and builders who hunt down automated abuse before it scales. This is a true people-leadership role: you will hire, develop, and inspire a high-performing team while owning the vertical's detection strategy, operational health, and delivery outcomes. You will set the bar for investigation quality, build the next generation of Risk Mining talent, and partner across Engineering, Machine Learning, Product, and partner risk teams to turn your team's findings into durable, automated defenses.

This is a hands-on leadership role with broad cross-team influence, reporting to Risk Mining leadership. You are accountable for your team's people, performance, and output - scaling detection of automated MOs, driving measurable gains in detection speed and quality, mitigating risk, and clearing the blockers that stand between your team and impact.

Key job responsibilities
- Lead, coach, and grow a team of ~10 Risk Analysts and investigators - owning hiring, performance management, career development, and team culture.
- Own the Anti-Automation and Risk Mining strategy roadmap - anticipating how bots and scripted attacks evolve, prioritizing the highest-risk automated MOs, and staying ahead of the adversary.
- Set and uphold the quality bar for investigations, deep dives, and MO documentation, and own vertical-level metrics for detection volume, speed, and precision.
- Partner with Machine Learning, Engineering, and Product teams to turn your team's findings into scalable, automated upstream defenses, and own the feedback loop back into models and rules.
- Collaborate with the other Risk Mining verticals and partner teams (Payment Risk, Abuse Risk Mining) on joint investigations and shared signals.
- Own the operational health of the vertical - ticket ageing, SLAs, rule governance, SEV-2 reduction, and audit-ready SOPs.
- Serve as the senior point of accountability for high-severity incidents, and executive escalations
- Drive automation and GenAI opportunities to amplify your team's throughput and quality, and measure the realized ROI from those investments.

A day in the life
No two days look the same when the automated-abuse landscape shifts in real time - your week balances hands-on leadership with the strategy that keeps Anti-Automation ahead of emerging threats:

People & Leadership
- 1:1s with your team - removing blockers, coaching on complex cases, and supporting their career growth.
- Reviewing your team's active investigations and setting strategic direction on the highest-risk automated MOs.
- Making hiring decisions and strengthening the capabilities of the team.

Tactical (Keeping the Engine Running)
- Driving down ageing tickets, SEV-2s, and rule governance action items in your vertical.
- Reporting detection metrics and path-to-green on key goals in WBR and WPR forums.
- Responding to live escalations when a new automated attack surfaces.

Strategic (Building What's Next)
- Shaping the long-term detection strategy for Risk Mining - anticipating how automated abuse will evolve and positioning your team to stay ahead.
- Partnering with ML and Engineering to turn your team's findings into automated defenses that scale.
- Championing GenAI and automation opportunities as a core part of your team's strategy to increase impact.
- Driving the vertical's strategic roadmap through OP1 planning and quarterly goal-setting.

About the team
The Risk Mining team within Account Integrity spans India and Costa Rica, and works for Amazon's worldwide marketplace to detect and disrupt bad-actor behavior.

Our mission is simple: find the signal in the noise before bad actors cause harm. We operate across four risk verticals - Anti-Automation, Account Takeover, SMS Pumping, and Bad Actor Account - and partner closely with Machine Learning, Engineering, and Product teams to turn our investigative findings into scalable upstream defenses. The Anti-Automation vertical sits at the front line of that fight, taking on bots and scripted abuse at the scale.

If you want to lead a team where your decisions directly translate into customer trust at global scale - and where the adversary never stops evolving - this is the team.

Basic qualifications

- 3+ years of people management and team development experience
- 3+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of experience in program management, strategy, risk management, trust & safety, or a related field.

Preferred qualifications

- Master's degree or equivalent
- Experience using data and metrics to back up assumptions and implement effective solutions
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience driving AI/automation-enabled process improvements, with a strong interest in applying GenAI to operational workflows.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Manager II, Risk Mining, Account Integrity at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Manager II, Risk Mining, Account Integrity is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 9, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

People ManagementFraud DetectionAnti AutomationRisk ManagementMachine Learning Collaboration

Questions you could be asked

Tell me about a project where people management was part of your work. What did you do?
Tell me about a project where fraud detection was part of your work. What did you do?
Tell me about a project where anti automation was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?
Tell me about a project where machine learning collaboration was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: People Management, Fraud Detection, Anti Automation, Risk Management, and Machine Learning Collaboration. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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