Sandip Dev

Product Manager

Bengaluru, Karnataka, India13 yrs 7 mos experience

Highly Stable

Key Highlights

Delivered ML-based anomaly detection tool at Amazon.
Bootstrapped $9M/year savings program in supply chain.
Reduced app publishing SLA from 48h to 6h.

Stackforce AI infers this person is a Senior Product Manager in E-commerce with a focus on Supply Chain Optimization and Machine Learning.

Contact

Skills

Core Skills

Product StrategyMachine LearningProgram ManagementGlobal LogisticsRisk ManagementFraud DetectionData AnalysisProfitability ManagementDeveloper Experience

Other Skills

Supply Chain OptimizationA/B TestingCustomer ExperienceStrategic RoadmapsCustomer Service ManagementPython (Programming Language)Anomaly DetectionData MiningAnalyticsProcess OptimizationPeople ManagementBusiness AnalyticsOperations ManagementSupply Chain ManagementStrategy

About

I know a little bit about a lot of things. Just enough to make me useful, especially when working with smart people who know a lot about something. As a Senior Product Manager at Amazon, I built AI and ML led products with a great team. I believe in showing up, doing the work, and having my team’s back. I work best when there’s trust, clear problems to solve, and plenty of coffee.

Experience

13 yrs 7 mos

Total Experience

4 yrs 6 mos

Average Tenure

Current Experience

Amazon

5 roles

Senior Product Manager - Supply Chain Optimization Technologies (SCOT)

Promoted

Aug 2022 – Jul 2025 · 2 yrs 11 mos

Owned Amazon Retail’s country-level inventory planning product & platform roadmap for 9 markets.
Unlocked $0.7B in Free Cash Flow savings by optimizing network-wide buying decisions.
0→1 delivered an ML based anomaly detection & monitoring tool.

Product StrategyMachine LearningSupply Chain OptimizationA/B Testing

Senior Program Manager - Cross Border Delivery Experience

Jun 2021 – Aug 2022 · 1 yr 2 mos

Owned DEX (Delivery Excellence) charter across AU, UAE, SA, and SG.
Reduced UAE/KSA delivery time by 1.2 days by aligning cross-border logistics and airlines.
Drove L8/L10 reviews, linking delivery ops to executive KPIs.

Global LogisticsCustomer ExperienceProgram Management

Senior Program Manager - Operational Excellence

Dec 2020 – May 2021 · 5 mos

Proudest win: Built a loss bridge that uncovered unexpected abuse of tamper-proof SKUs — not from forward logistics as assumed, but from customers. Rolled out return verification, saving $120K/month.
0→1 launch of the Seller Reimbursement Operations Excellence roadmap for Electronics in India.
Built an ML pipeline to detect Buy Box abuse; dropped non-refundable concessions from 10% to <2%.
Saved $2.5M /month by suspending auto refunds in return abuse zones using PIN code analysis.
Saved $90K /month by restructuring packaging policy to cut losses from high-value shrinkage.

Risk ManagementFraud DetectionStrategic RoadmapsCustomer Service Management

Program Manager II - Operational Excellence (Amazon India)

Apr 2019 – Nov 2020 · 1 yr 7 mos

Proudest Win: Bootstrapped a $9M/year savings program, built a statistical model to identify SKU level profitability levers at scale. Widely adopted across vendor teams and later turned into product.
Led one of Amazon India’s top 5 FCF levers: $11M saved in FY20, scaling to $23M in FY21.
Launched an internal 0→1 framework for identifying unprofitable non-strategic selection.
Built statistical models solo in Python due to lack of ML/SDE bandwidth.
0→1 launched a logic-based SKU retention framework that rescued $92M in annualized revenue.

Python (Programming Language)Data AnalysisProfitability ManagementAnomaly Detection

Program Manager II - Appstore (Amazon Devices)

Oct 2016 – Mar 2019 · 2 yrs 5 mos

Proudest Win: First 0→1 external service experience — mined GBs of app submission data to define a “yield” metric, pinpointed dev friction, and shipped fixes that moved the needle on adoption and success.
Served as functional lead for global tool launches; owned UAT and India-specific BRD reviews.
Reduced app publishing SLA for top apps from 48h to 6h via a historical risk-based ML model.
Led platform optimization to achieve a launch record of Appstore on 5 Fire TV devices in 3 days.
Uplifted bad app detection precision by 42%, slashed QA effort by 26% through smarter triggers.
Cut developer submission abandonment by 19% through product & process interventions.
Boosted testing throughput 2X via coverage optimization; clustered devices to cut TAT by 12%.

Program ManagementDeveloper ExperienceData MiningAnalyticsProcess OptimizationPeople Management

Mphasis

6 roles

Manager - Corporate Alliances & Partnerships

Promoted

May 2014 – Oct 2016 · 2 yrs 5 mos

Drive organization wide alliances for Mphasis – from selection of potential partners to closing the deal.
Working with Sales and Solutioning teams to pitch capabilities acquired through alliances. Developing GTM strategies for partnerships

Assistant Manager - Marketing

Apr 2014 – May 2014 · 1 mo

Short stint in Marketing. Project managed the marketing initiative for a organization transformation initiative. Also co-ordinated marketing activities for certain key business events.

Assistant Manager - Sales, Strategy & Planning, Banking & Capital Markets

Sep 2013 – Mar 2014 · 6 mos

Assisted in bid evaluations and submissions, coordinating activities across teams. Created sales decks for various teams and conducted market and competitor analysis. Worked on formulating business development strategy for one the largest Commercial and Investment banks in the world.

Assistant Manager (SPO, Enterprise Market Unit)

Jul 2013 – Sep 2013 · 2 mos

Support the Enterprise Sales team in all stages of pre-sales, like creating account plans, account research, competitive intelligence as well as bid management

Assistant Manager, Corporate Support (Strategy, benchmarking and competitive intelligence)

Jan 2013 – Jul 2013 · 6 mos

Working with Strategy, Bench marking & Competitive Intelligence team to support the CEO and CSO on short and long term strategy formulation and assessment.

Assistant Manager, Corporate Support (Business Operations & SPO) -Future Leaders Program

May 2012 – Jan 2013 · 8 mos

Working with various teams and verticals as part of the Future Leaders Program at Mphasis. Developed a statistical model to better predict call volumes for Mphasis clients in Emerging Geographies. Now supporting a Senior VP and working with Delivery and Sales Program Office to roll out various Sales and Operational dashboards and analysis on a regular basis.