Sarita Ghosh

About Sarita Ghosh

Senior Technical Product Manager with 10+ years in B2B SaaS and cloud services, including 4.5 years at AWS. Specialized in building cost management and FinOps products for enterprises, with deep experience in forecasting, reporting, and AI-powered analytics. Aligned cross-functional teams to drive measurable business outcomes—$87M churn prevention, 40% adoption growth, and 300+ hours/week saved for users. Recently, I built a brand-new GEN AI assistant and an advanced cloud cost forecasting tool powered by a multi-covariate ML model. I work closely with business executives, engineers, data scientists, UX designers, marketing, and legals to launch products that help enterprise customers to streamline cost management. At my work, I frequently conduct user research studies and customer interviews to build the product vision and roadmap effectively. I am skilled in product strategy, roadmapping, competitive analysis, user research, data analysis, data visualization, feature prioritization, A/B testing, wire-framing, and change management. I value customer empathy and strive to create products that solve real problems and generate value for both customers and the organization.

Experience

1. Senior Product Manager - Tech

   Amazon Web Services (AWS)

   Feb 2021 — Present · Seattle, WA, US

   Product: AWS Cloud Cost Forecasting & Budgeting (0→1)1. Analyzed six competitors, conducted 40 user interviews, and partnered with User Research on a diary study to understand customer pain points on Cloud Spend Budgeting.2. Identified market opportunities, built vision and roadmap, and influenced executives to approve product strategy and MVP proposals to address the needs of the target customer segment.3. Designed ML model to customize forecasts by historical spend variability and future business drivers, improving forecast accuracy by XX%. Introduced automated spend monitoring, reducing budget tracking time by XX%.5. Launched AWS Budget Planning, achieved XX% growth, and prevented $XXM in churn-related revenue loss.Product: GenAI Cost Analysis Assistant (Amazon Q)1. Developed an LLM-based cost analysis assistant in 12 weeks, enabling customers to save hours/week in manual analysis and boosting Amazon Q adoption by XX%.2. Defined product scope around top APIs, accuracy standards, and explainability, backed by a survey of users.3. Ran public beta to get feedback from customers, reduce hallucination, and improve accuracy of machine learning model, resulting in XX% reduction in customer support incidents across the suite. Product: Bill Reporting and Analytics1. Built AWS Data Export (0→1) to enable self-serve FinOps reporting with customizable outputs and layered access control; launched with CUR 2.0 as the first dataset, boosting CUR’s CSAT by XX%.2. Priced and Packaged multiple products based on infrastructure cost, competitive pricing, cost of alternatives, and target profit margin, generating XXM additional revenue.3. Automated private discounts reporting for AWS CUR (200K WAA), resulting in faster bill payments and $XXM/month in free cashflow.4. Improved product engagement by XX% by launching new dashboard interactions, analytical capabilities, widgets, and ML model for AWS Cost Explorer (500K WAA).

Education

• West Bengal University of Technology, Kolkata

  Bachelor of Technology (BTech), ECE

• University of Washington

  Master of Science in Information Management

  2019 — 2020

Skills

• Sap Sd
• Sap Sd Module
• Matlab
• Microsoft Office
• Microsoft Excel
• Microsoft Word
• Powerpoint
• Electronics
• Teamwork
• Customer Service
• Windows
• Engineering
• Programming
• English
• Electrical Engineering
• Photoshop
• Solidworks
• Research