Weedmaps

Senior AI Product Manager, Search and Personalization

Systems of Impact

AI Product Management Consultant

Product Manager Accelerator

Product Mentor

Mozilla

Achievements:
•	Led a 5-person cross-functional team to implement the first experimental design with AI/ML experimental capabilities at Pocket, a B2C social bookmarking product for storing, sharing and discovering web bookmarks.
•	$3M revenue growth by expanding Pocket Recommended content to international markets.
•	Managed the Go-to-Market (GTM) strategy for the B2C AI/ML home surface product, impacting 600k monthly active users (MAU), leading to an 8.18.% increase in customer engagement.

Responsibilities:
•	Managed 3 B2C AI/ML products, including a B2C AI/ML content delivery product, a cross-platform B2C AI/ML home surface product, and a B2C AI/ML international expansion product.
•	Led Product Roadmap, design, and MVP of B2C AI/ML platform in order to decrease machine learning model time to production.
•	Led the Product Roadmap for the B2C AI/ML content delivery product in order to decrease the bounce rate on the Home page.
•	Prioritized requirements for B2C product user onboarding by completing user interviews (Voice of Customer) to decrease Home bounce rate.
•	Wrote and prioritized User Stories, requirements, enhancements, and issues for a B2C AI/ML Pocket recommended content based on strategic, product, and business goals.
•	Set data-driven OKRs and KPIs in order to drive prioritization and roadmap decisions.
•	Collaborated cross-functionally to deliver B2C AI/ML Pocket-recommended content to new markets via Firefox New Tab (France, Italy, & Spain).

Staff Product Manager, Data Products & Machine Learning at Pocket

GameStop

Achievements:
•	Collaborated with the Product Details Page (PDP) team to increase and improve the recommendations shown on the page, leading to a 30% increase in average order value.
•	Led a 12-person team to implement in-house recommendations using Google Cloud Platform (GCP) across the entire product catalog, leading to increased recommendation placement by 75%, engagement by 11%, and overall rec revenue by 10%.

Responsibilities:
•	Led the Product Roadmap for a B2C AI/ML personalization product in order to increase average order value (AOV).
•	Collaborated cross-organization to re-platform the pricing engine MVP and its go-to-market (GTM) rollout across 3500 stores, leading to an estimated 75% reduction in manual pricing and pricing exceptions.
•	Interviewed 12+ customers and studied e-commerce market trends to understand customer needs and converted them into actionable engineering-focused user stories.
•	Set data-driven OKRs and KPIs in order to drive prioritization and roadmap decisions.
•	Organized and led agile ceremonies to prioritize user stories, provide guidance, and drive progress.

Senior Product Manager - Recommendations

MGM Resorts International

Achievements:
•	Launched the first personalized content within MGM in collaboration with Microsoft which resulted in $500k in net new revenue over a 90-day period.
•	Launched a Recommendation-as-a-Service Product (RaaS) serving both external and internal customers.

Responsibilities:
•	Wrote user stories, requirements, and prioritized for a B2C AI/ML product in Azure.
•	Conducted Voice of Customer Interviews and studied hospitality trends to understand customer needs, and converted them to actionable engineering-facing user stories.
•	Collaborated cross-functionally across 8 lines of business and engineering channel partners to scope, build requirements, develop, and deploy a RaaS Product.

Senior Product Manager - Personalization & Loyalty

Achievements: 
•	Led a 2-person team to launch a 0 to 1 MVP for restaurant recommendations via email, leading to $50k in net new revenue over 30 days.
•	Launched the first personalized content within MGM in collaboration with Microsoft which resulted in $500k in net new revenue over a 90-day period.

Responsibilities: 
•	Conducted Voice of Customer Interviews and studied hospitality trends to understand customer needs, and converted them to actionable engineering-facing user stories.

Product Manager - Customer Insights & Growth

Lender Toolkit, LLC

- Worked with customers to refine their processes and improve delivery times by up to 20%
- Created implementation analytics with Engineering team using PowerBI to track delivery times
- Worked with Ellie Mae to build and implement new cloud based software platform for next-gen experience

Product Manager / Implementation Project Manager

Reflex Media Inc

- Wrote user stories and Implemented ML-powered moderation techniques to manage messages and reduce customer support burden for a marketing agency, reducing support moderation by over 90% through ML image classification and natural language processing (NLP).
- Initiated work with Data Science to implement machine learning systems to improve user recommendations and increase user engagement
- Initiated work to understand the Google Ad Manager platform to work with Data Science and Digital Marketing to implement site-wide analytics and improve site ad conversion
- Initiated Ownership of Messaging and User Engagement of the Seeking site, increasing member engagement by 13%
- Worked within the Atlassian ecosystem (JIRA/Confluence) and managed feature backlog and spec creation for Dev, including prioritization

Associate Product Manager

Workfront

- Developed user interview strategy to improve Digital Asset Management (DAM) product offering
- Developed metadata reporting structure to understand user metrics and usage
- Owned product from Ideation through initial Growth phase
- Increased from 20 base customers to 132 customers in 6 months with no marketing, a 560% increase

Product Related:
- Part of core team to establish/test/deploy new Digital Asset Management (DAM) offering via agile product management methodology
- Initiated/Completed Market research of asset management competition
- Created insights, personas, user stories, and prioritization from interview process to establish an MVP
- Launched white label beta product to 20 businesses for testing and feedback
- Developed implementation methodology and initial KPI measurements to report to executive management
- Revised Digital Asset Management (DAM) process upon feedback and analytics of usage

Design Consultant Related:
- Created and tested new ways to deliver implementations using lean/agile methodology improving certain implementation tier delivery times down to 60 days from 4 to 6 months
- Process Mapped and streamlined customer processes thru Lean Six Sigma methodologies and worked with the customer to build into the Workfront tool

Associate Product Manager / CX Design Consultant

- Worked with “At Risk” clients to re-engage Executive management and increase Workfront usage
- In a year’s time, worked with nearly $5M worth of Annual Run Rate (ARR) At Risk clients and only had a $180k reduction in ARR
- Worked within our strategic team to develop product offerings whose end results were pushed out to the entire company, adding 10 additional products for Sales to generate revenue
- Worked with executive management on user adoption strategies and built process around it for additional product offerings for Customer Success to reduce overall cost center
- Subject Matter Expert (SME) for End-to-End solution for Workfront, Proof HQ, and Workfront DAM for Customer Success and Ops departments

Strategic Services Consultant

Primary Residential Mortgage

- Created and Developed a Project Management Office (PMO), creating a new department within the company
- Developed training programs to improve project management culture within the enterprise
- Head of the Project Review Committee, other members include C-Level and SVPs
- Managed projects with budgets of $250k up through $25M+
-- Cross-departmental collaboration of 24 different departments (inc vendors)
-- Timelines that spanned from a few months up to 1.5 years
- Researched and procured new PPM/Work Management solution (AtTask).
- Developed and Launched AtTask/Workfront to company of 2000 users over the course of 6 months

PMO Project Manager

- Project Management of new programs, initiatives and revenue channels.
- Contract Negotiation with External Vendors and Investors.
- Review and interpret Investor/Agency/MI memos and determine impact to the corporation.
- Identify/implement opportunities to leverage systems to reduce risk associated with programs.
- Research and gather business and/or financial information, perform ad hoc analysis to support business decisions and provide feedback to executive management regarding results.
- Develop a thorough understanding of the business and its functions, processes and operations.
- Keep abreast of business and market trends, which may affect the organization.
- Research new investors, establish any requirements, determine market need, build out program, launch to company

Program Administrator / Product Manager

- Facilitate and manage the lock pipeline for Secondary.
- Analyze existing reports used by the Secondary Marketing team to ensure accuracy and completeness of data. 
- Identify issues with current reporting mechanisms, determine cause and recommend solution to ensure accuracy and completeness.
- Analyze the delivery and transaction functions to identify opportunities to become more efficient.
- Assists in identifying and implementing process improvements for secondary marketing functions.
- Supports the Capital Market team as needed to assist in the fulfillment of trades.
- Supports the Program Admin team on the implementation of new products.

Secondary Marketing Analyst

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I’m Sam, a Senior AI Product Manager with over 8 years of experience. I’ve helped manage over 12 AI products, generating more than $250M in revenue. Now, I’m focused on empowering product managers like you to achieve more with AI.

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Sam Montoya

Brightcove

Staff Software Engineer

Sr. Engineer

Chewy

Software engineer lll

HCL Technologies

Lead Engineer

Collabera Inc.

Software Engineer

Ritusha Consultants Pvt Ltd

Software Developer

As a staff software engineer at Brightcove, I design, develop, and maintain scalable and reliable video streaming solutions using Amazon EKS, ECS, CloudWatch, and NoSQL technologies. With over 13 years of experience in software development, I have a strong background in Java, Kotlin, golamg, Spring Boot, and RESTful services. I am also AWS certified, demonstrating my proficiency and knowledge in cloud computing.

Previously, I contributed to the search, suggestions, and optimization of the e-commerce platform at GameStop, following agile methodologies and best practices. Before that, I worked on breaking down a monolithic app into cloud deployable microservices and building a recommendation platform for the storefront at Chewy. I am passionate about creating high-quality software solutions that meet the needs and expectations of the customers and stakeholders. I am always eager to learn new technologies and tools, and to collaborate with other engineers and teams to deliver innovative and efficient products. I value diversity, inclusion, and excellence, and I strive to bring these values to my work and my team.

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Sam Montoya

Lomesh Vohra

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