Neil Lobo, Product Manager in Boise, ID, United States
Neil is available for hire
Hire Neil

Neil Lobo

Verified Expert  in Product Management

Bio

Neil has successfully launched and scaled products in the advertising technology, marketing technology, and digital media space. Having worked in both startups and public companies, Neil is well versed in different product development cycles and can both ideate and execute products to deliver results.

Project Highlights

Third-party Data Partnerships
Championed 3rd-party data partnerships through quantitative data evaluation, increasing revenue by 30%.
Social A/B | Social Optimization Platform for Facebook
Led the development and architecture of Social A/B, which was selected as the social optimization platform at Facebook's 2016 F8 Conference.
Knowledge Base AI Bot
Leveraged a self-hosted LLM to create a custom knowledge base AI bot.

Expertise

  • Advertising Technology (Adtech)
  • B2B
  • Digital Advertising
  • Digital Publishing
  • Marketing
  • Marketing Technology (MarTech)
  • Monetization
  • P&L Management

Work Experience

Product Consultant

2025 - PRESENT
AdPrompt.ai
  • Built a Generative AI-based local marketing and advertising product for businesses.
  • Led the technical direction of the product by providing input on architecture, infrastructure, and system design in collaboration with the engineering team.
  • Defined and maintained the product vision, goals, and roadmap aligned with business objectives and user needs.

Head of Product, Data and Exchange

2022 - PRESENT
Take-Two Interactive Software, Inc.
  • Increased revenue by 20% as head of product for Chartboost Exchange, a mobile-focused advertising supply-side platform that helps app developers monetize their ad inventory with various demand-side platforms.
  • Built the identity, targeting, and analytics stack for Chartboost products. Led data products for Chartboost, a division of Take-Two Interactive, a gaming company.
  • Led the ML Infrastructure engineering team to build data science infrastructure for a team of 40+ data scientists. Oversaw all data contracts, licensing, privacy, and regulatory compliance for Chartboost.

Director of Data, Advertising

2019 - PRESENT
Sovrn
  • Drove a sixfold increase in annual sales through innovative, data-driven product development approaches for Sovrn, an omnichannel advertising supply-side platform.
  • Optimized advertising product technology, significantly enhancing programmatic advertising campaign efficiency and revenue potential.
  • Oversaw P&L, go-to-market, and product licensing for data audiences.
  • Managed go-to markets such as pricing, product, and operations on data marketplaces.

Product Manager, Healthcare Tech Products

2021 - 2022
Angle Health Inc
  • Worked with the executive team to define, plan, and execute the data roadmap.
  • Unified and normalized multiple insurance, healthcare provider, and pharmaceutical datasets to improve accuracy.
  • Led the analysis and selection of vendor technology partners to improve business outcomes.

Director of Product, Data Platform

2015 - 2019
ShareThis
  • Achieved 4x increase in annual sales revenue (multiple millions of dollars) through data-driven product development, for both subscription and transactional revenue products.
  • Reduced time to integration for new customers and prospects from one week to 24 hours through smarter product design and operational workflow.
  • Identified a million-dollar market opportunity on product partnerships and gained executive approval to proceed with it.
  • Identified a product gap not addressing a million-dollar opportunity on data science fueled segments, obtained executive approval, built and led a new team to achieve it.
  • Achieved a million-dollar increase across the data as a service business through a smarter and more consistent pricing model.
  • Led a product team of 15 data engineers, data scientists and product managers to a revamped engineering build process, weekly code sprints, and product reviews.
  • Managed GTM, pricing, and partnerships for all data products and data compliance efforts with GDPR.
  • Championed and led third-party data partnerships through quantitative data evaluation that increased audience segment size and revenue by 30%.
  • Served as the lead developer and architect for social A/B testing and was selected as the social optimization platform for FB Instant Articles at F8 Conference 2016.

Product Manager

2012 - 2013
Zynga
  • Led the growth and retention feature development for Zynga.com (off of Facebook's gaming platform) that improved retention rate by more than 200% for new users.
  • Decreased repetitive product development (12x for a year) for cross-promotion of new game launches by building an internal product that provided standardization with flexibility.
  • Increased game installs by an average of 15% month over month by iterative product feature development.
  • Created and optimized cross-promotion channels to leverage Zynga’s players into millions of high-quality installs across platforms. These products touched 20 million+ users per day, serving features across games.

Project History

Third-party Data Partnerships

Championed 3rd-party data partnerships through quantitative data evaluation, increasing revenue by 30%.

KEY CONTRIBUTIONS
• Pitched and created a 3rd-party data purchase program, providing monetization partnerships to other publisher networks.
• Developed an internal analysis framework using quantitative analysis and engineering infrastructure to evaluate and purchase data sources.
• Oversaw sourcing, negotiating, and licensing data from providers.
• Increased data audience revenue by 30%.

Social A/B | Social Optimization Platform for Facebook

Led the development and architecture of Social A/B, which was selected as the social optimization platform at Facebook's 2016 F8 Conference.

KEY CONTRIBUTIONS
• Worked as the lead developer and architect for Social A/B, which was selected as the social optimization platform for FB Instant Articles at the 2016 F8 Conference.
• Used the following technologies: Node.js, MongoDB, MeteorJS, Docker, Kubernetes, Jenkins, and microservice architecture.

Knowledge Base AI Bot

Leveraged a self-hosted LLM to create a custom knowledge base AI bot.

An AI bot trained on custom data from the knowledge base to answer customer questions. I leveraged my experience in development and hosting and worked on open-source and self-hosting LLMs, vector databases, and LLM orchestration with Mage AI.

Education

2010 - 2012

Master's Degree in Business Management

Carnegie Mellon University - Pittsburgh, PA, USA

2004 - 2008

Bachelor's Degree in Computer Science

Pune University - Pune, India

Certifications

APRIL 2017 - PRESENT

Foundations

Pragmatic Institute

JUNE 2011 - PRESENT

Chartered Financial Analyst (CFA) Level 1 & 2

CFA Institute

Skills

Tools

ETL, Jenkins

Paradigms

Data Product Management, Scrum, Agile Product Management, Kanban, Microservices, Microservices Architecture

Platforms

Docker

Industry Expertise

Healthcare, Pharmaceuticals

Other

Advertising Technology (Adtech), SQL, P&L Management, Big Data, Marketing Technology (MarTech), Remote Work, Digital Marketing, Product Strategy, Data Taxonomy, Minimum Viable Product (MVP), Product Discovery, Data Strategy, Data Governance, Data, Data Cleansing, Data Auditing, Data Analytics, Customer Data Platform (CDP), Data Collection, Data Products, Digital Product Development, Personalization, Program Management, Agile Program Management, Project Management, Microsoft Excel, Analytics, B2B, Digital Advertising, Digital Publishing, Marketing, Product Management, Sales, Technical Product Management, Product Licensing, Licensing, Games, Catalogs, Subscriptions, Data Analysis, Data Processing, Vendor Management, Digital Transformation, Web & Mobile Applications, Product Operations, Cloud Services, Customer Data, Identity & Access Management (IAM), NoSQL, Solution Architecture, Customer Relationship Management (CRM), Data Science Product Manager, Monetization, Product Roadmaps, User Retention, Product Growth, Management, Advertising, Data Lakes, Data Integration, Data Product Manager, Identity, Audience Targeting, Technical Writing, Proof of Concept (POC), Exchanges, Artificial Intelligence (AI), Vendor Selection, Node.js, Kubernetes, APIs, Full-stack Development, Large Language Models (LLMs), Vector Databases, Large Language Model Operations (LLMOps), Self hosting LLM, Elasticsearch, Retrieval-augmented Generation (RAG), Meteor, MongoDB, Generative Artificial Intelligence (GenAI), Generative Pre-trained Transformers (GPT), OpenAI

Collaboration That Works

How to Work with Toptal

Toptal matches you directly with global industry experts from our network in hours—not weeks or months.

1

Share your needs

Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2

Choose your talent

Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3

Start your risk-free talent trial

Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.

Top talent is in high demand.

Start hiring