Job Title : Product Manager-FanOs Intelligence
About SI:
We are Asia’s premier sports-focused data, technology, and content solutions provider, boasting over two decades of excellence in delivering innovative fan engagement solutions to over 250 global clients. At the heart of the sporting ecosystem, Sportz Interactive specializes in creating immersive experiences for fans through its comprehensive suite of services, including data APIs, cutting-edge websites, interactive mobile apps, gamification platforms, original content, and high-quality video production.
Fuelled by a passionate team of 600+ professionals, Sportz Interactive is a 100+ crore revenue company, profitable. With several vectors for growth, the company is expanding into new sports, exploring new geographies- building on its strong foundation in India with inroads in Europe and introducing new innovative offerings such as advanced video tech solutions and personalized fan engagement solutions to enhance fan loyalty and commercial opportunities. From prestigious events like the Olympics to partnerships with leading entities like ICC, BCCI, Google, Amazon, UEFA, NBA, Star Sports, Ferrari, Mercedes & Formula 1 Sportz Interactive delivers world-class solutions that transform how fans connect with their favourite sports.
About the role:
We are looking for a Lead Product Manager to own FanOS Intelligence, the AI and data layer powering personalised, intelligent fan experiences. This is a hands-on product leadership role where you will drive end-to-end ownership from vision and roadmap to real-world deployments with global clients. You will work closely with engineering, AI, design, and GTM teams to translate AI capabilities into scalable, productised offerings. The role requires strong product judgement, technical fluency, and the ability to build data-rich, AI-powered products that deliver measurable commercial impact.
Key Responsibilities:
Product Strategy & Ownership
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Own the vision, strategy, and roadmap for FanOS Intelligence
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Balance client needs, market opportunity, and technical feasibility
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Define product direction for AI-powered experiences
End-to-End Product Lifecycle
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Lead discovery, definition, delivery, and iteration cycles
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Translate strategy into well-scoped product requirements
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Drive high-quality, scalable product releases
AI & Data Product Development
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Define AI product experiences including conversational interfaces, recommendations, and analytics
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Set quality benchmarks for latency, accuracy, and user experience
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Define guardrails for brand voice, safety, and editorial consistency
Data Architecture & Platform Thinking
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Drive product decisions on data architecture (knowledge graphs, pipelines, APIs)
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Enable reusable intelligence layer across multiple product lines
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Ensure scalability and multi-tenant product design
Go-to-Market & Commercialization
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Partner with GTM teams on pricing, packaging, and positioning
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Support demos, client onboarding, and key customer conversations
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Build productised offerings with clear boundaries vs bespoke work
Metrics & Performance
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Define and track product KPIs — adoption, engagement, quality, and revenue impact
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Use data to drive prioritisation and continuous improvement
Cross-Functional Leadership
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Collaborate closely with Engineering, AI, Design, and Sales teams
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Align stakeholders across product, tech, and business
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Drive product thinking across the organization
Background and Experience:
Experience
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8–10 years of product management experience
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Experience building and scaling B2B or B2B2C products
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3+ years working on AI/ML or data-heavy products
Core Experience
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Experience with AI systems (RAG, conversational AI, recommendation engines, analytics)
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Experience scaling multi-tenant, multi-client platforms
Experience across full product lifecycle (0- 1 and scale)
Technical Skills
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Strong understanding of AI/ML systems and data architectures
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Familiarity with APIs, pipelines, and platform design
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Ability to engage deeply with engineering and AI teams
Key Skills
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Strong product judgement and prioritisation ability
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Excellent communication and stakeholder management
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Strong writing skills (PRDs, documentation, strategy)
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Ability to operate in fast-paced, ambiguous environments
Good to Have
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Experience in sports tech, media tech, or vertical SaaS
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Exposure to conversational AI and LLM-based products
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Experience working with enterprise or global clients
The "Edge" (What makes you stand out):
Ability to translate complex AI and data capabilities into scalable, productised solutions that drive real-world user engagement and commercial impact.
What We Offer:
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Global Exposure: Work with marquee sports properties across 40+ sports worldwide.
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Innovative Culture: A "fan-first" environment that values curiosity, quality, and fun.
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Flexibility: Monday to Friday schedule with flexible timings and hybrid model.
