Group Product Manager @ BitSight
Currently, at BitSight, I lead cross-functional teams in the development and execution of high-impact products, transforming how businesses manage digital risk. My approach emphasizes collaboration across engineering, design, and go-to-market teams to create solutions that solve real-world challenges while optimizing product performance. Throughout my career, I've consistently worked at the intersection of emerging technology and strategic business initiatives, guiding teams through complex product lifecycles from ideation to launch. My experience spans multiple industries and global markets, with a focus on aligning product vision to long-term business growth. When I started working, I realized that few people could act as the bridge between tech and business, as it seemed very difficult to be an expert in both areas simultaneously. And there, I found my sweet spot. As humans and not machines, we need to find the drive, inspiration, and pride in what we are building. That’s only possible if we know and understand the WHYs. That was when I fell in love with Product Management.
Experienced in AI and machine learning, with a proven track record of integrating these technologies into products. At OutSystems, leveraged AI to enhance application delivery efficiency. At BitSight, contributed to AI-driven product initiatives that improved adoption and usability. Focused on applying AI to solve real-world business challenges effectively.
I've worked in customer success as a Solution Architect and Delivery Manager before transitioning to Product Management. Learning how the customers value the products they use and what are their drivers and motivators is one of the essential things in product management.
When I started working, data science was not a popular term. However, all my work on creating demand forecast models, resource planning, and handling big data is pretty much data science. More recently, I've worked in building and developing AI/ML products, which entails understanding the data science journey.
I've worked for 2.5y at OutSystems - the company leader for low-code software development. I've had the opportunity to contribute to the product vision and strategy, which encompass a great deal of understanding of the market.
I've been a Product manager for more than five years, after extensive experience in hands-on, high-touch product implementations. As a product manager, the primary responsibilities lie in defining and executing a winning product vision and strategy.
I've worked in several different companies in various industries. From Telecommunications, Consulting, Fraud detection, and Software development to AI/ML and cybersecurity.
I learned from a mentor some years back: "Have the serenity to accept the things I cannot change, the courage to change the things I can, and the wisdom to know the difference."
JIRA is one of the many tools Product Manager use daily. I've used JIRA to follow up on the team work, get details from bugs or create Epics and User Stories.
Getting data to make the right decision is critical for a Product Manager. Therefore, I learned to query data using SQL very early. (MySQL and snowflake being the most used tools)
Salesforce has the most data regarding customer accounts, ARR, renewal dates, customer sentiment, etc. Crossing this information with product usage allows me to consider user behavior data against business impact.
I've been working on SaaS products for more than ten years. (BitSight, OutSystems, Feedzai, ClickSoftware, and Oracle field service, to name a few).
I've created, developed, and implemented B2B products. From workforce management tools in Telco Operations to SaaS products in Fintech and CyberSecurity.
Feedzai's product is AI based. As a Product Manager, I've worked in Insights data product development.
Here are some examples of My work as an AI product Manager at OutSystems: - shorturl.at/ckpry - shorturl.at/myz24 - shorturl.at/chtY6
I'm currently a Group Product Manager at BitSight - a cybersecurity ratings company that analyzes companies, government agencies, and educational institutions. It is based in Back Bay, Boston. Security ratings that are delivered by BitSight are used by banks and insurance companies among other organizations.
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I am responsible for the product vision and strategy execution for a SaaS product. I work with customers and internal stakeholders to understand their needs. Then I collaborate with the UX/Design and engineering teams to define and execute the product roadmap. Currently, I lead the product area that enables BitSight customers to discover and manage their digital network (aka attack surface).
Create and develop products leveraging artificial intelligence to support developers and the applications they create. For developers: Infuse AI across OutSystems tools and the software development life cycle to bridge the talent gap and increase confidence to deliver with quality and agility. For applications: Enable customers to innovate and increase the business value of their applications through automation and personalized experiences, by providing easy access and iteration with AI capabilities across top use cases.
Responsible for bringing together customer needs and market trends, leading product development to take it one step ahead of the competition.
Stream Leader responsible for a workforce management (WFM) system implementation and transformation project in a major Telco in Chile with 400+ field engineers Responsible for managing a team of 5 people in a 10-month project centered on the implementation of two new cloud-based systems in the architecture of five legacy systems.
Planned from scratch and implemented a Work Force Management (WFM) tool - Oracle Field Service Cloud Software® – across Spain. Responsible for linking client business needs and reframing how clients view their businesses.
Led operational performance and workforce management initiatives in a large-scale telecom environment. Helped build a new department responsible for supervising operational performance across a structure involving more than 15,000 engineers, using KPIs, planning, and execution controls to improve productivity and customer outcomes.
Supported field force transformation initiatives focused on operational control, process improvement, and workforce performance. Worked across business and operational stakeholders to strengthen execution discipline and align transformation priorities with large-scale service delivery.
Designed forecasting and resource-planning models for installations, faults, and call-center demand, improving workforce efficiency and service outcomes. This work contributed to reducing mean time to repair from more than 50 hours to 24 hours in one supported service context.
Supported operational planning, performance analysis, and improvement initiatives in telecom service environments, building early expertise in forecasting, KPIs, and resource optimization.
