Software Development Manager, Seller Fees Tech

Software Development Manager — Seller Fees Tech Amazon — Bangalore, India

Are you an SDM who wants to lead a platform transformation — not just manage one? Seller Fees Tech (SFT) Bangalore is one of Amazon's newest engineering organizations, formed in October 2025 with a clear mandate: build and own the financial systems that power how over two million sellers are charged, incentivized, and rewarded across Amazon's global marketplaces. We are not a satellite team executing on upstream designs. Every architecture call, technical strategy, and delivery milestone across our four charters is owned end-to-end from Bangalore.

As an SDM here, you won't be inheriting a stable system to operate. You'll be leading a foundational transformation — rebuilding how Amazon's seller fee and incentive platform works, at scale, from the ground up.

What You'll Be Part Of Our 50-member team brings together Software Engineers, Business Intelligence Engineers, Data Engineers, Product Managers, Data Scientists, and Applied Scientists — all co-located in Bangalore. This cross-functional density means your engineers won't just write code in isolation. They'll collaborate directly with scientists building scoring models, analysts investigating financial anomalies, and PMs translating complex business requirements into engineering problems.

As SDM, you'll lead a team of 10–12 engineers while partnering closely with Product, Business, Finance, and Operations stakeholders — owning not just delivery, but the technical strategy and long-term platform direction for your charter.

The Technical Moment You're Joining Across all four of our charters — Incentives, Fee Change Management Platform, Fee Expansion, and AWD Fees — we are in the middle of a foundational architecture overhaul. That means: Your team won't be patching years of accumulated technical debt. They'll be designing and building systems the right way, from the ground up

In Incentives, we are replacing batch-driven legacy jobs with an event-driven enrollment engine, introducing a unified Incentive Policy model, and building an AI-assisted configuration pipeline that reduces program onboarding from 7 weeks to under 1 week — directly eliminating 8,000+ annual seller support tickets

In Fee Change Management, we are building self-service tooling that eliminates manual engineering touchpoints for every fee program launch across 13+ global marketplaces

In Fee Expansion and AWD Fees, we are extending Amazon's fee infrastructure to new services and global markets, building the primitives that future fee programs will be built on