Lead of Product Analytics

Join Our Vision: We are building the next generation of Spatial Media - a new way people experience videos through interaction, multi-user presence, haptics, AI, and immersive storytelling.

DeoVR is the leading immersive streaming technology serving multiple enterprise customers and millions of users globally.

We are now expanding the boundaries of what video can be - moving from passive watching to active, interactive, multi-user journeys.

If this excites you more than it scares you, you are in the right place.

We’re looking for a strong Head of Product Analytics who can combine strategic ownership with a very hands-on approach. This is not a pure management role - we expect someone who is individually strong enough to operate at a Senior Product Analyst level and enjoys working deeply with data.

We need someone who sees analytics as a product function, not just reporting. Someone proactive, curious, and opinionated. A person who can help shape product decisions, uncover growth opportunities, build reliable tracking systems, and turn data into actionable insights.

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  Own and develop the product analytics function

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  Work closely with Product, Engineering, and Leadership teams

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  Proactively identify what should be analyzed, validated, or challenged — without waiting for requests from Product or Leadership

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  Run deep product analysis to identify opportunities for growth and optimization

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  Drive product decisions with data, not just respond to ad-hoc requests

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  Design event tracking from scratch and maintain scalable, reliable analytics instrumentation

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  Own data quality and metric consistency across the product

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  Improve and optimize the DWH layer, including data modeling and performance optimization

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  Build and maintain dashboards and analytical layers

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  Develop product metrics, frameworks, and measurement approaches

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  Help teams make faster and better product decisions through data

• Strong experience in product analytics at Senior or Lead level

• Very hands-on mindset - comfortable digging into data yourself

• Advanced SQL skills and experience writing complex, optimized queries

• Strong Python skills for analytics and data processing

• Solid experience with BI tools - we use Tableau

• Experience building event tracking systems from the ground up

• Strong understanding of DWH design and optimization

• Strong understanding of A/B testing methodologies, including bootstrapping, sequential testing, multi-armed bandits, and causal inference

• Real hands-on experience applying ML approaches to analytics and product problems

• Product mindset and ability to translate data into meaningful business and product insights

• Experience with video streaming products

• Experience working with recommendation systems

• Experience optimizing product funnels and user journeys

• Experience in fast-growing product companies

• HR screening (30 min)

• Tech Interview (1 hour)

• Product Team Interview (1 hour)

• CEO Interview (45 min)

💼 Explore our hiring process.

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