Product Owner

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Hawk-Eye Innovations Ltd.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- CLOUD ANALYTICS ACCESS REST
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

Strategic backlog and scope ownership
Roadmap, vision and data strategy
Stakeholder management and ambiguity navigation
Quality and built-in engineering excellence collaboration
Operational readiness and 3rd line support oversight

Requirements

2–3+ years of experience as a Product Manager or Product Owner
Advanced stakeholder management skills
Strong technical grounding with experience in cloud-based data solutions, big data streaming, or REST/GraphQL APIs
Strategic product execution experience including defining MMFs, MVPs, and setting data-driven OKRs
Superb leadership and communication skills

Nice-to-have

Experience working on data-heavy, high-performance products within a B2B or enterprise SaaS environment, Experience with real-time streaming architectures, data warehousing solutions, or data science/analytics workflows, Enthusiasm for occasional international travel

What we offer

25 days annual leave plus 8 public holidays
5% matching enhanced pension scheme
Flexible working with hybrid model (2 days in office per week)
Complimentary Unmind app and onsite gym (Basingstoke)
Access to sporting events and tickets
Sony Group Company discounts

Company info

Hawk-Eye Innovations builds technology that powers some of the most exciting and critical moments in sport, from instant replays and broadcast augmentation to officiating systems trusted by leagues, federations, broadcasters, and millions of fans worldwide. Their Value Stream delivers the core data platforms, aggregations, and advanced insights that turn live athletic metrics into unprecedented sports intelligence. Working alongside sister companies Pulselive and Beyond Sports, they ingest massive spatial data feeds, including ball trajectories and SkeleTRACK real-time skeletal metrics, and transform them into scalable data pipelines, predictive data science models, and immersive fan-facing visualisations.