
Vitrina, a trusted leader in video entertainment supply-chain, is proud to introduce the Vitrina Business Network (VBN). Vitrina Business Network emerges as an ultimate online platform designed to…

Vitrina, a trusted leader in video entertainment supply-chain, is proud to introduce the Vitrina Business Network (VBN). Vitrina Business Network emerges as an ultimate online platform designed to…
Sector: Entertainment industry intelligence & supply-chain (film & TV)
Product: SaaS platform (Vitrina Business Network) using structured data and AI (VIQI) for studio/streamer intelligence, monetization, financing, and vendor matching
Headcount (approx.): 76
Founded / launch signals: Spinout entry in Jan 2020; seed activity in Jan 2021
Known investors: Alumni Ventures, MDSV Capital (public profiles list nine investors)
Film & TV production, financing, distribution, monetization and vendor selection within the entertainment supply chain.
Entertainment Providers
Listed as a spinout entry
“Alumni Ventures and MDSV Capital named among investors; public profiles report nine investors”
| Company |
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Role: Product Analyst
Dept: Product Engineering
Location: Mumbai, India (Hybrid)
About Vitrina.AI: Transforming the Global Entertainment Ecosystem
Vitrina A.I. is a Silicon Valley–based startup powering the world’s most advanced intelligence platform for the global video entertainment supply chain. Our platform is used by major streamers, studios, production houses, and service vendors across 100+ countries to track content projects, discover partners, and streamline strategic outreach.
Our Core Solutions:
VIQI AI:
Your AI-Powered Hollywood Agent and Strategic Business Analyst.
Global Film + TV Projects Tracker:
Daily-updated project intelligence mapped to key collaborators and decision-makers.
Our prestigious client roster includes industry leaders such as Netflix, Warner Bros., Disney, Globo, and SBS
. Join us to define the future of global content collaboration and market growth.
The Opportunity: Building a World-Class Platform
The Product Engineering Team
at Vitrina have the great responsibility of building a world class, first of its kind platform that has the potential to transform how the entertainment industry sources/acquires video content and services from around the world. With the world’s most powerful Vertical AI
to find content partners including studios, distributors, content service providers, broadcasters and streaming companies globally, Vitrina’s goal is to simplify transactions in the business of global video.
We take great pride in building a great product that is used by the top executives from the Film, TV, and OTT businesses globally.
Your Impact: Provide Data-Driven Product Experience
A Product Analyst answers the question: "Is this feature working, and what should we build next based on the data?"
Market & User Research:
They analyze market trends and competitor products to help position the product effectively.
Product Performance Tracking:
They define and monitor Key Performance Indicators (KPIs) like retention rate, churn, daily active users (DAU), and conversion rates.
A/B Testing:
They design and analyze experiments (e.g., testing two different versions of a "Sign Up" button) to see which one performs better.
What We Are Looking For: A Blend of Technical Mastery and Business Acumen
To be successful, a Product Analyst needs a blend of technical capability and business acumen.
Technical Skills:
SQL:
Essential for querying databases to get raw data.
Data Visualization:
Tools like Tableau, Power BI, or Looker
to create dashboards.
Product Analytics Tools:
Familiarity with tools like Google Analytics, Amplitude, Mixpanel, or Pendo.
Soft Skills:
Business Acumen:
Understanding how the product makes money and what drives business value.
Curiosity:
The ability to ask "Why?" repeatedly when looking at data spikes or drops.
Communication:
Presenting data in a way that persuades stakeholders to take action.
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Vitrina Business Network (VBN):
A proprietary network of 72,000+ verified entertainment professionals.
Deep Profiling:
Advanced data on 100,000+ companies spanning production, post-production, localization, and distribution.
Feature Analysis:
After a new feature launches, they dig into the data to see if users are actually using it and if it’s adding value.
Stakeholder Communication:
They translate complex data into clear insights and stories for non-technical stakeholders (like marketing or leadership teams).
Statistical Analysis:
Understanding significance, correlation vs. causation, and regression models.
Startup Mindset:
Emphasis on "agility", "wearing multiple hats."
and the willingness to take ownership of setting up new analytical tools from scratch.