Software Development Manager, Measurements and Data Science (MADS)
Amazon is hiring a Software Development Manager, Measurements and Data Science (MADS) in Bengaluru, India. Level rates it ; you can apply on Amazon.
Level's read on this job
- Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include AI agents, AI automation and software development.
- Level classifies it as a lead role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Lead software development teams building AI-powered and agentic automation for advertising billing systems.
Amazon Advertising is one of the fastest-growing businesses within Amazon, empowering Sellers, Vendors, Authors, and Publishers to boost product reach and sales through performance and display advertising. The Iron Mountain platform is the singular system that manages all advertiser billing, invoicing, accounting automation, real-time budgeting, promotions, payments, and Billing Advertiser Experience (AX) — processing multi-billion transactions worth 100x in dollar value daily, worldwide, across all ad products displayed On or Off Amazon.
Billing accuracy is a critical pillar of this platform. This team owns billing corrections (credits and rebills), offline and alternative payment workflows, and the revenue-integrity mechanisms that make advertising billing transparent and auditable end to end — serving thousands of correction requests each year from partners across Ads Sales, Finance, Accounting, and FinOps. The multi-year roadmap transforms this space into self-service and intelligent automation: AI-driven investigation of billing defects, agentic correction workflows, and advertiser-facing self-service experiences.
The Iron Mountain team is looking for a Software Development Manager to lead this Bengaluru-based team. You will:
Lead, hire, and develop a team of 8+ engineers, owning their growth, delivery, and engineering excellence
Own the product and technical roadmap for billing corrections and offline payments — from high-volume manual workflows today to automated, self-service, and agentic experiences through 2027
Drive operational excellence for tier-1 billing systems where accuracy and availability directly protect advertiser trust and Amazon revenue
Shape how GenAI and AI agents interact with financial systems safely — automation with auditability, guardrails, and zero tolerance for monetary error
Partner across Finance, Accounting, FinOps, and ad-product teams worldwide to reduce correction volume at the root cause, not just process it faster
Be a player-coach: technically strong enough to hold the bar in design reviews, while spending your energy on people, roadmap, and delivery
To succeed, you will bring a track record of building strong teams and delivering large-scale distributed systems, comfort operating business-critical financial services, and a forward-looking perspective on how AI transforms financial operations — combined with people-first leadership that grows engineers as fast as it ships software.
Key job responsibilities
People & Team Leadership
-Hire, mentor, and grow a high-performing team of SDEs.
-Set technical direction and priorities, balancing short-term deliverables with long-term architectural investments
-Foster a culture of operational excellence, innovation, and continuous improvement
-Drive career development for team members, providing regular coaching and feedback
-Collaborate cross-functionally with partner teams and stakeholders to align on roadmaps and dependencies.
A day in the life
As a Software Development Manager, you will play a crucial role in the development of services that keep advertising billing accurate and trustworthy at global scale. You will lead a dynamic group of passionate engineers and collaborate with peer teams across Ads, Finance, and Accounting to identify automation opportunities, design novel solutions that meet customer requirements, and build software that intelligently detects and remediates billing defects across our worldwide advertising platforms. You will be building highly available, scalable, and auditable architecture — increasingly powered by AI and agentic workflows — to execute financial corrections safely and effectively.
About the team
The Cashmere team builds software which supports the automated detection, correction, and settlement of advertiser billing, empowering humans to automate key financial operations and take themselves out of the loop as Amazon Advertising scales. We own services that model billing behaviors across ad products and marketplaces, identify and remediate defects before they reach advertisers, capture the financial and compliance constraints of our systems, and execute credits, rebills, and offline payments that serve our customers while preserving accuracy, auditability, and advertiser trust.
Basic qualifications
- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- 1+ years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using Java, C#, or C++ experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using service-oriented architecture experience
- 1+ years of developing large-scale, multi-tiered distributed software systems using distributed programming experience
- 5+ years of Software Engineer, Software Developer, or related occupational experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams
Preferred qualifications
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
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
Software Development Manager, Measurements and Data Science (MADS) 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.
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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a workflow you automated with AI tools, end to end.
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where generative ai was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Automation, Software Development, Team Management, and Generative AI. 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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