Product Manager

Sportz Interactive powers some of the largest sports leagues, broadcasters, and publishers with real-time sports data and digital experiences. With over 23 years of structured sports data and deep ball-by-ball cricket datasets, SI is uniquely positioned to build a new generation of data, AI, and video intelligence products for the global sports ecosystem.

We are now looking for a Product Manager to help convert SI’s internal data and video infrastructure into scalable, monetizable platforms.

Role Overview

You will own the productization of SI’s core assets: real-time sports data, historical datasets, and synchronized video feeds.

Your mission is to transform these capabilities into platform products and APIs used by leagues, broadcasters, media companies, fantasy platforms, and AI labs.

You will work closely with engineering, data operations, video teams, and commercial stakeholders to launch new revenue lines beyond services.

Key Product Areas

The role will contribute to several emerging product lines.

1. Data API & Developer Platform

Build scalable APIs for accessing SI’s real-time and historical sports data.

Products may include:

• Real-time match data APIs

• Historical sports datasets

• Developer platform for sports data access

• Data licensing infrastructure

2. AI Data Products

Leverage SI’s deep datasets to power AI applications.

Examples include:

• AI training dataset licensing

• Sports-specific LLM datasets

• Predictive analytics feeds

• Contextual commentary APIs

Potential buyers include AI labs, analytics companies, and sports startups.

3. Fan AI & Conversational Sports Interfaces

Develop conversational fan experiences built on SI’s live data.

Examples:

• Fan companion AI agents

• Interactive match Q&A engines

• AI-powered sports assistants inside apps and broadcasts

4. Automated Content & Storytelling

Generate automated sports content using structured data.

Products may include:

• AI-generated match reports

• Contextual commentary feeds

• Automated stat insights

• Real-time editorial content APIs

5. Sports Data Visualization Products

Build embeddable widgets and visual analytics tools.

Examples:

• Live score widgets

• Wagon wheels and shot maps

• Player comparison dashboards

• Interactive match pages

These products will serve publishers, teams, and league websites.

6. Video Intelligence & Highlight Platforms

Leverage SI’s synchronized video + event tagging pipeline to build video products.

Examples include:

• Automated highlight generation

• Event-based video clipping

• Interactive video overlays

• Social media highlight automation

• Video search and archive platforms

These products can power broadcasters, OTT platforms, and sports media companies.

Responsibilities

Product Strategy

• Identify opportunities to convert internal data and video capabilities into scalable products

• Define product roadmaps for data, AI, and video platforms

• Work closely with leadership to prioritize revenue-generating initiatives

Product Development

• Define APIs, developer workflows, and platform capabilities

• Work with engineering and data teams to ship scalable systems

• Drive product discovery, prototyping, and MVP launches

Platform Thinking

• Build products that can serve multiple clients rather than bespoke implementations

• Define pricing, packaging, and licensing models

Customer Discovery

• Engage with SI’s existing customers (leagues, broadcasters, publishers)

• Identify new use cases across sports media and analytics

Commercial Enablement

• Partner with the commercial team to bring new products to market

• Support sales with product demos, documentation, and positioning

What We’re Looking For

Experience

• 5–8+ years of product management experience

• Experience building API products, developer platforms, or data platforms

• Exposure to AI/ML products or data-driven products

• Experience working with engineering teams on complex systems

Skills

• Strong analytical and platform thinking

• Strong proficiency in SQL

• Ability to structure messy data into usable products

• Familiarity with APIs, data pipelines, and developer ecosystems

• Comfort working in ambiguous, early-stage product environments

Bonus

• Experience in sports technology, media tech, or video platforms

• Familiarity with AI or LLM-based products

• Experience with analytics or data infrastructure