Profile

Sebastian Caparroz

Product Management - SaaS, AI, Big Data Analytics

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About Sebastian

I am an Industrial Engineer turned Product Leader with over a decade of experience across Germany, Spain, the US, and Latin America. I specialize in bridging the gap between deep technical complexity and business growth, with a focus on AI/ML and Big Data analytics.

During my time at DoiT, I managed platforms handling more than $3 billion in monthly cloud spend and led the strategy for features that generated over $300M in annual customer savings. From scaling products 5x in active users to shipping enterprise-ready solutions in under 3 months, I love to combine engineering precision with a creative approach to high-stakes problem solving.

Testimonials

Key Projects

FinOps Platform

Enterprise FinOps & Cloud Management Platform

At DoiT, I led the product strategy for the core FinOps features of our Cloud Management Platform, supporting our transition from a services-led model to a scalable Product-led powerhouse.

Leading product for two full-stack engineering teams with a total of 19 people, I focused on building data-driven tools that enabled over 4,000 customers to govern and optimize their cloud environments.

  • 3x customer base expansion with $3.5 billion in yearly managed spend
  • More than $300 million in annualized savings for our customers through the conception and creation from zero of a new product
  • 5x growth in monthly active users (MAU) and 8x growth in usage (monthly sessions) of our product: achieved rapid adoption and user retention by simplifying complex FinOps workflows
  • Market expansion: re-engineered the platform to be distributor-ready in under 3 months, opening a new multi-billion dollar market segment
AI Formulation

Predictive AI for Chemical Formulation

In a traditionally "trial-and-error" industry, I identified a massive efficiency gap in laboratory testing. I conceived and prototyped an AI-driven system that uses machine learning to predict fluid properties based on additive concentrations, replacing physical lab tests that took days with digital simulations that take seconds.

  • 65% Resource Reduction: Drastically cut down on materials, man-hours, and laboratory overhead required for oilfield projects
  • Data Modernization: Engineered the foundation of the project by standardizing and cleaning years of unstructured historical laboratory databases
  • Accelerated R&D: Transformed a process that traditionally took months into a rapid, computer-aided prototyping workflow, allowing technicians to reach final formulations with near-instant precision.

Professional Journey

DoiT International

Product Manager | April 2022 - Present

  • Led the strategy for our Cloud Management Platform, our core product, a FinOps platform that allows for data analysis, monitoring and governance, and proactive recommendations for our customers’ cloud expenditure.
  • Created and led a new product within the platform that resulted a the top performer in the portfolio (1300+ users (MAU) and a main USP in Sales conversations):
    • Researched internally and among customers and discovered the opportunity
    • Pitched to and convinced CEO, CPO, and Head of Product about the opportunity
    • Planned go-to-market strategy, led quick delivery cycles, conducted field testing, performed internal training on the new product
    • Managed to generate more than $300 million yearly savings
  • Made the platform Distributor-ready in record time (< 3 months!), which enabled DoiT to target a new market segment and sell to one of the biggest distributors in the world.
  • Scaled the platform:
    • 5x growth in monthly active users (MAU)
    • 8x growth in monthly sessions
    • 3x growth in managed customer spend
    • 2.5x growth in customer base
  • Managed simultaneously 2 scrum development teams, with a total of 19 people (2 UX designers, 2 technical leads, 1 technical writer and 14 developers).

Körber Pharma

Product Owner | May 2021 - March 2022

  • Shortened testing times of on-premises software by leading improvements in deployment automation as Product Owner.
  • Ensured 100% testing compliance as per good manufacturing practices in the pharmaceutical industry and our internal standards.

RavenPack

Product Manager | September 2019 - April 2021

  • Managed MVP for an AI based natural language processing product that allows customers to define their own ontologies using our proprietary databases and find any topic (event) or entity (thing) they are interested in, allowing the company to target a new market segment projected at $60bn.
  • Managed the roadmap for the only 2 new revenue-generating products during Covid in 2020, with the shortest time to market until my time at RavenPack.
  • Reduced QA testing cycle time for a new big data processing project, saving around 300 man-hours monthly.

Schlumberger

Project Engineer | October 2015 - October 2018

  • Prototyped an AI system to predict chemical formulation processes in North America headquarters using machine learning algorithms on company historical data. Estimated savings of 65% (materials, man hours, and processing time).
  • Managed $6M/year accounts, supervised $100k field operations in environmentally sensitive areas, and improved inventory management for 4 drilling rigs during my time working as Project Engineer around the globe.

Internships

December 2013 - September 2015

  • Improved communication between engineering and management by designing a 360° virtual tour of a new $100M+ steel rolling mill working as a Drafter for Grupo Update, an Engineering firm in Rosario, Argentina, This helped the project increase capacity by ~30%.
  • As a Salesman for CompuTotal, a local IT hardware and software distributor, I increased customer base in the region and strengthened relationships with old customers through regular visits and follow-ups, and automated inventory management using Excel.