Product Managment at Flywheel Digital
At Flywheel Digital, I led Agile and Rapid Application Development for a suite of B2B/B2C SaaS tools used by 150+ enterprise clients — including 7 of the top 10 Amazon vendors. Our platform empowered global brands like P&G, Energizer, and Bose to optimize their digital shelf performance across Amazon, Walmart, Target, and Criteo.
Jan 1, 2022
CLIENT
Flywheel Digital
CLIENT
Flywheel Digital
CLIENT
Flywheel Digital
Role
Product Manager
Role
Product Manager
Role
Product Manager
Service
Product Management
Service
Product Management
Service
Product Management
What I Owned
What I Owned
What I Owned
Product Strategy & Execution: Defined and delivered product roadmaps that aligned executive, engineering, and client priorities — translating data insights into scalable, revenue-impacting features.
Cross-Functional Leadership: Collaborated daily with developers, analysts, and client teams while serving in multiple hands-on roles — Scrum Master, Delivery Manager, UX/UI Designer, and Customer Success Lead — to ensure projects shipped fast and with measurable impact.
Analytics-Driven Optimization: Used Google Analytics, Pendo, and Tableau to analyze user behavior and campaign ROI, driving continuous iteration based on performance data.
Key Results from the initiatives I worked on…
Scaled globally: Expanded Flywheel’s search-intelligence product to support international marketplaces, enabling brands to track search rankings, share of voice, and ad placement efficiency worldwide.
Boosted conversion by 7%: Created a new product experience for mature Amazon listings that increased conversions and saved hundreds of hours for internal teams.
Enhanced client experience: Improved UX across the SaaS platform through market research, data-driven design decisions, and better alignment between analytics and usability.
Operational efficiency: Streamlined internal workflows by standardizing Agile processes and implementing automation that improved delivery velocity across multiple teams.
Tools and Technology Used
Pendo • Google Analytics • Tableau • JIRA • Confluence • Miro • Figma • Airtable • DBeaver • Postman • Asana
Product Strategy & Execution: Defined and delivered product roadmaps that aligned executive, engineering, and client priorities — translating data insights into scalable, revenue-impacting features.
Cross-Functional Leadership: Collaborated daily with developers, analysts, and client teams while serving in multiple hands-on roles — Scrum Master, Delivery Manager, UX/UI Designer, and Customer Success Lead — to ensure projects shipped fast and with measurable impact.
Analytics-Driven Optimization: Used Google Analytics, Pendo, and Tableau to analyze user behavior and campaign ROI, driving continuous iteration based on performance data.
Key Results from the initiatives I worked on…
Scaled globally: Expanded Flywheel’s search-intelligence product to support international marketplaces, enabling brands to track search rankings, share of voice, and ad placement efficiency worldwide.
Boosted conversion by 7%: Created a new product experience for mature Amazon listings that increased conversions and saved hundreds of hours for internal teams.
Enhanced client experience: Improved UX across the SaaS platform through market research, data-driven design decisions, and better alignment between analytics and usability.
Operational efficiency: Streamlined internal workflows by standardizing Agile processes and implementing automation that improved delivery velocity across multiple teams.
Tools and Technology Used
Pendo • Google Analytics • Tableau • JIRA • Confluence • Miro • Figma • Airtable • DBeaver • Postman • Asana
Product Strategy & Execution: Defined and delivered product roadmaps that aligned executive, engineering, and client priorities — translating data insights into scalable, revenue-impacting features.
Cross-Functional Leadership: Collaborated daily with developers, analysts, and client teams while serving in multiple hands-on roles — Scrum Master, Delivery Manager, UX/UI Designer, and Customer Success Lead — to ensure projects shipped fast and with measurable impact.
Analytics-Driven Optimization: Used Google Analytics, Pendo, and Tableau to analyze user behavior and campaign ROI, driving continuous iteration based on performance data.
Key Results from the initiatives I worked on…
Scaled globally: Expanded Flywheel’s search-intelligence product to support international marketplaces, enabling brands to track search rankings, share of voice, and ad placement efficiency worldwide.
Boosted conversion by 7%: Created a new product experience for mature Amazon listings that increased conversions and saved hundreds of hours for internal teams.
Enhanced client experience: Improved UX across the SaaS platform through market research, data-driven design decisions, and better alignment between analytics and usability.
Operational efficiency: Streamlined internal workflows by standardizing Agile processes and implementing automation that improved delivery velocity across multiple teams.
Tools and Technology Used
Pendo • Google Analytics • Tableau • JIRA • Confluence • Miro • Figma • Airtable • DBeaver • Postman • Asana
Projects
Projects
Projects
Selling Partners API (BETA) — Amazon Integration
Goal:
Maximize API adoption during Amazon’s BETA program to strengthen Flywheel’s partnership with Amazon and reduce internal scraping costs.
Role:
Designed and implemented the API authorization process across 150+ client accounts.
Discovered new API endpoints and reports, advising Amazon’s team on enhancements for broader agency usability.
Identified and replaced legacy scraped data sources with newly available API reports.
Outcome:
Onboarded 150+ international clients into the new SP-API framework.
Reduced data scraping costs by $10K–$20K per month through automation and API migration.
Accelerated internal automation efforts and improved data accuracy across reporting pipelines.
About the Selling Partner API:
The Amazon Selling Partner API (SP-API) is a REST-based API that allows partners to programmatically access seller data on orders, shipments, payments, and more. Flywheel was selected as a pre-release partner to advise Amazon on improving API functionality for large-scale agency use.
Case Automation & Reporting — Amazon PDP Optimization
Objective:
Automate the identification, resolution, and reporting of content-related issues on Amazon product detail pages (PDPs) while staying compliant with Amazon’s automation policies.
Role:
Reverse-engineered competitor tools and disproved inflated performance claims.
Translated critical client pain points into automated workflows that detected and resolved PDP content issues.
Designed a multi-step process combining automation, offshore contractors, and API integrations to submit and re-submit cases efficiently.
Outcome:
Increased client PDP conversion rates by 7%.
Established a new industry benchmark — shifting focus from “cases submitted” to conversion-driven success metrics.
Positioned the automation system as a premium service offering, featured in RFPs and annual client renewals.
Selling Partners API (BETA) — Amazon Integration
Goal:
Maximize API adoption during Amazon’s BETA program to strengthen Flywheel’s partnership with Amazon and reduce internal scraping costs.
Role:
Designed and implemented the API authorization process across 150+ client accounts.
Discovered new API endpoints and reports, advising Amazon’s team on enhancements for broader agency usability.
Identified and replaced legacy scraped data sources with newly available API reports.
Outcome:
Onboarded 150+ international clients into the new SP-API framework.
Reduced data scraping costs by $10K–$20K per month through automation and API migration.
Accelerated internal automation efforts and improved data accuracy across reporting pipelines.
About the Selling Partner API:
The Amazon Selling Partner API (SP-API) is a REST-based API that allows partners to programmatically access seller data on orders, shipments, payments, and more. Flywheel was selected as a pre-release partner to advise Amazon on improving API functionality for large-scale agency use.
Case Automation & Reporting — Amazon PDP Optimization
Objective:
Automate the identification, resolution, and reporting of content-related issues on Amazon product detail pages (PDPs) while staying compliant with Amazon’s automation policies.
Role:
Reverse-engineered competitor tools and disproved inflated performance claims.
Translated critical client pain points into automated workflows that detected and resolved PDP content issues.
Designed a multi-step process combining automation, offshore contractors, and API integrations to submit and re-submit cases efficiently.
Outcome:
Increased client PDP conversion rates by 7%.
Established a new industry benchmark — shifting focus from “cases submitted” to conversion-driven success metrics.
Positioned the automation system as a premium service offering, featured in RFPs and annual client renewals.
Selling Partners API (BETA) — Amazon Integration
Goal:
Maximize API adoption during Amazon’s BETA program to strengthen Flywheel’s partnership with Amazon and reduce internal scraping costs.
Role:
Designed and implemented the API authorization process across 150+ client accounts.
Discovered new API endpoints and reports, advising Amazon’s team on enhancements for broader agency usability.
Identified and replaced legacy scraped data sources with newly available API reports.
Outcome:
Onboarded 150+ international clients into the new SP-API framework.
Reduced data scraping costs by $10K–$20K per month through automation and API migration.
Accelerated internal automation efforts and improved data accuracy across reporting pipelines.
About the Selling Partner API:
The Amazon Selling Partner API (SP-API) is a REST-based API that allows partners to programmatically access seller data on orders, shipments, payments, and more. Flywheel was selected as a pre-release partner to advise Amazon on improving API functionality for large-scale agency use.
Case Automation & Reporting — Amazon PDP Optimization
Objective:
Automate the identification, resolution, and reporting of content-related issues on Amazon product detail pages (PDPs) while staying compliant with Amazon’s automation policies.
Role:
Reverse-engineered competitor tools and disproved inflated performance claims.
Translated critical client pain points into automated workflows that detected and resolved PDP content issues.
Designed a multi-step process combining automation, offshore contractors, and API integrations to submit and re-submit cases efficiently.
Outcome:
Increased client PDP conversion rates by 7%.
Established a new industry benchmark — shifting focus from “cases submitted” to conversion-driven success metrics.
Positioned the automation system as a premium service offering, featured in RFPs and annual client renewals.
