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Requirements:
B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, with a focus on AI / NLP / Computer Vision / Machine Learning from a well-known university (M.Sc. preferred).
Proven experience leading and managing a technical team (minimum 3 engineers), with a strong ability to mentor, guide, and scale people in a fast-paced environment.
Strong background in applied ML and algorithms, with hands-on experience delivering production-grade systems.
Experience with Generative AI and LLMs, including integration into multi-component workflows.
Proven end-to-end ownership: from problem definition and design to deployment and operation at scale.
Broad technical expertise across ML, algorithms, and software engineering to design scalable and maintainable architectures.
Experience in high-scale, production environments, ensuring reliability, performance, and maintainability.
Excellent communication and collaboration skills across Product, Engineering, Data, and business teams.

Requirements:
What youll need:
10+ years of product management experience in B2B SaaS companies, with expertise in both inbound and outbound product management.
Passion for sports is a must, understanding of Sports Content.
5+ years of experience managing and mentoring a large team of Product Managers, with proven leadership and project management skills.
Deep expertise in the full product development lifecycle, from strategy and requirements definition to UX/UI, engineering, QA, and release.
Exceptional execution skills with a proven ability to deliver products from concept to launch.
Strong technical aptitude and experience working effectively with engineering and design teams.
Data-driven mindset with the ability to analyze quantitative and qualitative data to inform product decisions.
Exceptional communication and interpersonal skills with a collaborative, team-oriented approach.
Experience thriving in a fast-paced, dynamic startup environment.
Fluent in English, both written and verbal.
Bonus Points:
Prior experience working in the sports-tech industry.
Direct experience in content creation, editing, or a related creative field.
A technical/development background.
A strong sense of design and a deep appreciation for user experience (UX).
An advanced degree such as an MBA, or a Bachelors in Computer Science.

Requirements:
What Youll Bring to the Table:

To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge.

Systems Expertise

Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You dont just write code; you design for high throughput, low latency, and long-term maintainability.

Data Engineering Savvy: Youre comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas.

AI & Retrieval

Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch.

RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance.

Technical

Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python.

Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi.

Ownership & Impact

Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love.

Ambiguity Navigator: Youre comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket."

Bonus Points

Experience building multi-tenant SaaS platforms.

Experience with retrieval evaluation frameworks-knowing how to actually measure "good" search results.

Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps).