Product Manager - Sports 

Super technologies are looking for a Product Manager to lead one of our product teams and help achieve our vision of providing unique and entertaining betting experiences to our customers around the world. You will join the wider Product Management department, working with the best talent to design and deliver industry-leading products that drive customer and business value in our Sports product. You will focus on providing our customers with an innovative, engaging experience driving customer perception and player retention.  

We're looking for someone with: 

• 5+ years experience as a Product Manager working with Engineering teams; 

• Customer-focused and data-driven with a passion for solving customer problems; 

• Outstanding verbal and written communication skills; 

• Thrives in a fast-paced, results-driven environment; 

• Self-motivated, organized and able to drive the Product Strategy; 

• Understanding of technology and agile development methodologies; 

• Experience working with B2C mobile applications would be highly preferable  

• Excellent English language skills. 

What you'll be doing 

Customer and Competitor Insight 

• Lead on customer research, discovery and defining customer value for our products; 

• Drive discovery and utilize customer feedback from multiple touchpoints across the organization to build a picture of customer problems, opportunities and customer behaviour; 

• Make data-driven decisions utilizing customer research, behavioural, product and commercial data; 

• Work with Data Analysts to develop the reporting capabilities necessary to understand and measure customer behaviour; 

• Define what success looks like for our product and use data to measure success for our products; 

• Be responsible for the measurement and success of the product in-life and testing and iterating on the product to achieve the product objectives measured through success metrics; 

• Awareness of our key competitors and ongoing monitoring of competitor offering;  

Execution 

• Take ownership of the customer journey end to end, ensuring that customer value is always the key priority for the team 

• Identify and understand our Customer’s behaviour and needs to define hypotheses and requirements that shape suitable features and journeys 

• Create best-in-class product features and journeys that help take the player experience to the next level, 

• Work with designers, engineers and stakeholders to define and deliver reliable, scalable solutions to customer problems; 

• Coordinate product launch plans with marketing, commercial, operations, and support teams 

• Develop a deep knowledge of the Superbet product 

• Be aware of regulatory compliance, GDPR requirements, and legal positioning of the Sports Betting and Gaming industry and how these impact product features and requirements 

Influencing People 

• Engage with your stakeholders to understand their expectations and incorporate their feedback, where appropriate. 

• Set the right expectations with stakeholders and effectively communicate status and progress on outcomes and deliverables. 

Product Strategy and Roadmap 

• Understand the overall strategic direction of the company and how your area relates 

• Build and maintain a roadmap for your area that aims to deliver on short-term and long-term objectives, which align with the overall company and product strategy 

• Drive your roadmap from ideation and product discovery through to in-life product 

• Prioritize initiatives based on Customer Value, Business Viability and Technology feasibility; 

• Be responsible for inputting into and defining the quarterly Objectives and Key Results within your product team 

Super technologies are looking for a Senior Product Manager to lead one of our product teams and help achieve our vision of providing unique and entertaining betting experiences to our customers around the world. You will join the wider Product Management department, working with the best talent to design and deliver industry-leading products that drive customer and business value in our Sports product. You will focus on providing our customers with an innovative, engaging experience driving customer perception and player retention.  

We're looking for someone with: 

• 5+ years experience as a Product Manager working with Engineering teams; 

• Customer-focused and data-driven with a passion for solving customer problems; 

• Outstanding verbal and written communication skills; 

• Thrives in a fast-paced, results-driven environment; 

• Self-motivated, organized and able to drive the Product Strategy; 

• Understanding of technology and agile development methodologies; 

• Experience working with B2C mobile applications would be highly preferable  

• Excellent English language skills. 

What you'll be doing 

Customer and Competitor Insight 

• Lead on customer research, discovery and defining customer value for our products; 

• Drive discovery and utilize customer feedback from multiple touchpoints across the organization to build a picture of customer problems, opportunities and customer behaviour; 

• Make data-driven decisions utilizing customer research, behavioural, product and commercial data; 

• Work with Data Analysts to develop the reporting capabilities necessary to understand and measure customer behaviour; 

• Define what success looks like for our product and use data to measure success for our products; 

• Be responsible for the measurement and success of the product in-life and testing and iterating on the product to achieve the product objectives measured through success metrics; 

• Awareness of our key competitors and ongoing monitoring of competitor offering;  

Execution 

• Take ownership of the customer journey end to end, ensuring that customer value is always the key priority for the team 

• Identify and understand our Customer’s behaviour and needs to define hypotheses and requirements that shape suitable features and journeys 

• Create best-in-class product features and journeys that help take the player experience to the next level, 

• Work with designers, engineers and stakeholders to define and deliver reliable, scalable solutions to customer problems; 

• Coordinate product launch plans with marketing, commercial, operations, and support teams 

• Develop a deep knowledge of the Superbet product 

• Be aware of regulatory compliance, GDPR requirements, and legal positioning of the Sports Betting and Gaming industry and how these impact product features and requirements 

Influencing People 

• Engage with your stakeholders to understand their expectations and incorporate their feedback, where appropriate. 

• Set the right expectations with stakeholders and effectively communicate status and progress on outcomes and deliverables. 

Product Strategy and Roadmap 

• Understand the overall strategic direction of the company and how your area relates 

• Build and maintain a roadmap for your area that aims to deliver on short-term and long-term objectives, which align with the overall company and product strategy 

• Drive your roadmap from ideation and product discovery through to in-life product 

• Prioritize initiatives based on Customer Value, Business Viability and Technology feasibility; 

• Be responsible for inputting into and defining the quarterly Objectives and Key Results within your product team 

Sr. Sales Operations Manager 

Skopje, Zagreb, Spit, Budapest, hybrid

DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention services across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Meta, eBay, and OpenAI. We have been certified B Corp and Climate Neutral since 2021.

JOB PURPOSE

As part of the sales operations team in EMEA, you will be responsible for proactively driving new business by identifying and engaging high-potential prospects, expanding the agency's regional reach by using a range of inbound and outbound sales tactics. You will play a critical role in the sourcing of new business leads. You will do this by executing targeted and thoughtful outreach campaigns and nurture valuable connections, generating coffee dates for the sales teams and supporting sales growth initiatives. 

WHAT YOU'LL DO

• Build, manage and execute outreach campaigns in Linkedin and Outreach.io to agreed target lists, constantly monitoring engagement and adjusting accordingly to grow our DEPT®fluencers networks with relevant connections
• Support ongoing outreach hustles as well as partner and conference/event hustles for our EMEA markets by building target lists, drafting outreach copy, coordinating meetings, generating registrations & coffee dates in close collaboration with the marketing team & the growth marketing team
• Develop, manage and support with a proper follow up strategies and workflows
• Contribute to the creation of campaign themes and outreach ideas with the marketing team & the growth marketing team, and execute engagement strategies for UKI to help nurture prospects into tangible connections that will be handed to the sales team (incl ABM)
• Attend relevant industry events, support with lead/coffee date preparation & organisation, and represent DEPT®
• Manage the qualification of marketing qualified leads (MQLs) against specified criteria and coordinate outreach with key executives at DEPT® to ensure the best results.
• Support with the administration and clean-up of our CRM system (Salesforce). By checking dashboards and holding other lead owners accountable you’re making sure the data of our internal information database is up to date at all times. 

KPI's

• Growth of DEPTfluencer profiles relevant new connections 
• Generate registrations for owned events / generate scheduled meetings for external events with relevant new prospects
• Nurturing existing DEPTfluencer networks/connections & building conversations 
• Generating & preparing coffee dates

WHAT YOU'll BRING

• Are internationally oriented and master the English language in speaking and writing;
• Have strong verbal and written communication skills, interpersonal and organisational skills;
• Are commercially driven, 
• Have good time management skills and the ability to stay flexible in a fast paced environment; you can quickly switch between topics and campaigns, 
• Are very well organised and structured and able to effectively communicate the status and developments of your work;
• Are the example of proactivity and result-orientation and you always apply a confident, can-do attitude;
• Are a great listener and able to identify both a client's needs and that of your colleagues;
• Can demonstrate being a trusted first point of contact for new business leads to conduct a thorough qualification process, providing a detailed handover to the sales team;
• Are interested in getting to know a full range of communication techniques, including goal oriented calling, emailing, LinkedIn etc. to build engagement and achieve results;
  
  

WHAT YOU'll GET

• A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
• Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
• The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
• Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities
• Additional specific benefits depending on location

WHY DEPT®?

We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA.

We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter.

At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build.

DIVERSITY, EQUITY & INCLUSION 

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Wolt is a Finnish technology company and we’re best known for our food delivery platform. In 2014, we started with restaurant food delivery in Helsinki, Finland. Today, we're in the delivery of (almost) everything, our platform is available in 30+ countries and used by more than 50 million consumers, and our diverse and talented team is already over 14,000 strong. Now, together with DoorDash, we’re building a global leader in our industry.

The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across 21 countries can order their groceries and have them delivered to their doorstep at lightspeed!

The Category Manager is responsible for building and managing the assortment and trading plan including pricing and promotions, as well as building relationships with suppliers and managing the category performance in Croatia. The Category Manager has full ownership of category performance across assigned categories.

What you’ll be doing

• Having full ownership of assigned category performance, including forecasting, monitoring, and reporting on the business.
• Contributing to driving projects and trading strategy to achieve business goals.
• Defining and continuously updating the assortment at store level to meet customer needs and optimise order economics.
• Leading effective negotiations with suppliers to establish joint goals, improve cost structure, and sustainably grow the P&L.
• Influencing category design, contributing to new product groups, and improving customer experience to deliver growth.
• Creating business plans for new opportunities and developing and executing project plans incorporating merchandising and pricing strategies.
• Working cross functionally with counterparts in stock management, content, operations, marketing, finance, and retail systems to operate and grow the business.
• Continually improving and automating manual processes to enable the team to scale better as the business grows.
• Identifying performance gaps and implementing corrective actions to improve availability, sell through, margin, and waste.

Our humble expectations

• Experience in grocery retail, category management, key account management, consulting, or a similar commercial environment with a proven track record of delivering results ideally with strong exposure to fresh categories.
• Strong experience in supplier negotiations and commercial planning.
• Strong analytical skills and ability to translate data into actionable insights.
• Ability to think both strategically and operationally with high attention to detail.
• Strong communication skills and experience negotiating with internal and external stakeholders.
• Excellent skills in G Suite or MS Office (especially Excel).
• Full professional proficiency in English and Croatian.

Next steps

If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team redefining grocery shopping, then click below to apply and get the conversation going!

We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply and submit your English CV/resume today!

Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.

We are hiring across multiple teams!

As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. We are currently hiring Senior Software Engineers for the following teams:

- Workload Optimization - Automates workload resource management by dynamically adjusting resource allocations, helping developers significantly reduce costs and improve application reliability.

- Karpenter - The Karpenter team powers the integration between Karpenter and Cast AI, bringing enterprise capabilities to the most popular open source Kubernetes autoscaler. We enhance Karpenter with advanced features that improve application reliability and performance while optimizing costs. By joining the team, you’ll bridge open source innovation with enterprise requirements, directly impacting how organizations run Karpenter at scale.

- Reporting - Builds a scalable reporting system that ingests millions of rows per second into our time-series databases, providing insights into cost savings, workload efficiencies, and Cast AI automation impact.

- Pricing - Drives the synchronization of public and customer cloud resources, availability, and dynamic pricing across all major cloud providers. Empowers autoscaling by leveraging discounts, commitments, and cross-cluster tracking to maximize savings. Provides a reliable source of truth for node pricing, resources, components, discounts, and commitments.

- Autoscaler - Automates Kubernetes node autoscaling to optimize clusters, balance workloads, remove underutilized nodes, and dynamically allocate capacity in real-time, thereby reducing cluster costs by half.

- Identity -  Builds and maintains the trust and access foundation for the entire platform, ensuring every user, service, and workload authenticates and interacts securely and seamlessly at scale.

- Billy -  Powers the critical day-2 operations layer of the platform - from billing and audit trails to notifications and feature flags - ensuring the platform runs reliably, transparently, and at scale for every customer, every day.

Here are some of the tools we use daily:

• Programming Languages: Go
• Cloud & Orchestration: Kubernetes, AWS, GCP, Azure
• Databases & Storage: PostgreSQL, Cloud Object Storage
• Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs
• Observability: Prometheus, Grafana, Loki, Tempo
• CI/CD & GitOps: GitLab CI with ArgoCD.

Requirements:

• Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
• Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) - including real understanding of how compute, networking, and storage work under the hood.
• Understanding of Kubernetes internals - autoscaling and networking.
• You've personally driven a complex project end-to-end.
• Strong debugging, optimization, and performance-tuning skills - including query profiling, index design, and database performance tuning beyond ORM usage.
• You've run observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
• CI/CD and DevOps practices experience.
• Strong English skills, both verbal and written.
• Startup mindset: adaptable, proactive, and comfortable with ambiguity.

Responsibilities:

• Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale.
• Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management.
• Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks).
• Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services.
• Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
• Work with time-series data, cloud provider APIs, and Kubernetes control plane internals.

What’s in it for you?

• Competitive salary (€6,500 - €9,000 gross, depending on the level of experience)
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement. 
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Annual hackathon to spark new ideas and strengthen team bonds.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• Technical interview (system design)
• Live coding
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.

#LI-Remote

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

Step into a pivotal role at the heart of Enterprise Engineering, where strategy meets execution across a fast-scaling, product-led organisation. As a Technical Program Manager in Super, you’ll operate at the center of multiple high-impact initiatives—connecting four engineering tribes and cross-functional guilds to ensure seamless delivery in a year defined by transformation. Working closely with senior leadership and reporting into the CIO’s office, you will drive the day-to-day orchestration of complex programmes, turning ambitious plans into coordinated action. This is an opportunity to shape how a modern, automation-first platform enables growth, innovation, and operational excellence across an entire enterprise.

About the role

To support the scaling momentum we are witnessing, we are hiring multiple Senior Engineering Managers across several teams. This is a unique opportunity to lead high-performing engineering teams, drive technical excellence, and shape impactful products at scale in a fast-moving, collaborative environment.

We’re looking for someone who has:

• Experience in Technical and People leadership
• Strong exposure to hiring engineers and establishing team culture.
• Deep understanding of the software development lifecycle
• Advocate of servant leadership: Takes a hands-on approach to engineering daily basis.
• Experience resolving complex engineering and communication issues
• Great time management, organizational and multitasking skills

Bonus points for:

• Experience of hiring and scaling a distributed team across multiple domains.
• Experience with developing, deploying, and maintaining microservices-oriented applications

What you’ll be doing:

• Hiring  and leading a the team of engineers; reporting directly to you will be engineers (tech leads, software engineers, QAs)
• Ensure growth and development opportunities for all team members which includes employee coaching and mentoring, identifying and removing roadblocks and distractions, running regular 1:1s and feedback sessions with team members, performing performance reviews for the direct reports
• Nurturing a strong relationship with other engineering managers, technical leads and product managers
• Stakeholder coordination: defining priorities, managing expectations, ensuring regular updates and follow-ups regarding the teams’ scope of work
• Supporting engineering department goals by setting team requirements, goals and timelines
• Making relevant technical and business decisions that ensure predictable delivery in terms of timelines, stability, and performance
• Building and maintaining the culture of engineering excellence - we don’t cut corners when it comes to quality and reliability

About the role

To support the scaling momentum we are witnessing, we are hiring multiple Senior Engineering Managers across several teams. This is a unique opportunity to lead high-performing engineering teams, drive technical excellence, and shape impactful products at scale in a fast-moving, collaborative environment.

We’re looking for someone who has:

• Experience in Technical and People leadership
• Strong exposure to hiring engineers and establishing team culture.
• Deep understanding of the software development lifecycle
• Advocate of servant leadership: Takes a hands-on approach to engineering daily basis.
• Experience resolving complex engineering and communication issues
• Great time management, organizational and multitasking skills

Bonus points for:

• Experience of hiring and scaling a distributed team across multiple domains.
• Experience with developing, deploying, and maintaining microservices-oriented applications

What you’ll be doing:

• Hiring  and leading a the team of engineers; reporting directly to you will be engineers (tech leads, software engineers, QAs)
• Ensure growth and development opportunities for all team members which includes employee coaching and mentoring, identifying and removing roadblocks and distractions, running regular 1:1s and feedback sessions with team members, performing performance reviews for the direct reports
• Nurturing a strong relationship with other engineering managers, technical leads and product managers
• Stakeholder coordination: defining priorities, managing expectations, ensuring regular updates and follow-ups regarding the teams’ scope of work
• Supporting engineering department goals by setting team requirements, goals and timelines
• Making relevant technical and business decisions that ensure predictable delivery in terms of timelines, stability, and performance
• Building and maintaining the culture of engineering excellence - we don’t cut corners when it comes to quality and reliability

We are searching for a highly motivated and versatile Workday Administrator to join our HR Technology team. This pivotal role will be the primary technical expert for our Talent Optimisation, Learning modules and Peakon - Employee Voice, ensuring these critical systems run smoothly, are configured optimally, and deliver an exceptional employee experience. The specific blend of responsibilities is flexible and can be adapted based on the candidate's unique technical skills, demonstrated competencies, and previous experience. We encourage candidates with strong core Workday skills and a desire to grow in a specific area to apply. If you thrive on solving problems, improving processes, and empowering employees through intuitive HR technology, we want to hear from you!

What you'll be doing:

Role Overview: architect of the integrated employee growth lifecycle. This role is responsible for the technical design and maintenance of the Workday Talent Management and Peakon Employee Voice ensuring that performance evaluations, succession planning, and compliance training operate as a single, unified ecosystem.

• Talent Optimization & Performance Design
• Business Process (BP) Engineering: design and optimize the end-to-end Performance Review and Multi-Rater BPs. You build the conditional logic that routes evaluations through different approval chains based on org-level or geography.
• Succession & Calibration: build and maintain Succession Pools and Matrix Grids (9-Box). You facilitate the technical execution of Calibration sessions, ensuring data security and auditability of rating changes.
• Development Planning: configure Development Goals so that they link directly to Learning objects, allowing managers to assign specific courses as part of an employee's annual growth plan.
• Advanced Learning Management (LMS)
• Digital Content Strategy: manage the upload, versioning, and lifecycle of SCORM, AICC, and xAPI content. You ensure that the Learning catalog is organized via a strict hierarchy of Topics and Campaigns.
• Compliance Automation: create sophisticated Learning Assignment Rules (Requirement Groups). You build the logic that automatically enrolls employees in mandatory training based on "Hire Date," "Job Profile Change," or "Location."
• External Content Integration: Manage the Cloud Connect for Learning connectors for third-party providers (e.g., LinkedIn Learning), ensuring that external completions are correctly recorded on the Workday Worker Profile.
• Data Governance & Reporting
• Cross-Module Analytics: build custom reports and Discovery Boards that track the "Training ROI"—comparing learning completion rates against performance rating improvements.
• Security & Anonymity: manage Intersection Security Groups to ensure Talent ratings (high-sensitivity) and Learning transcripts (compliance-sensitivity) are only visible to authorized personnel.
• Audit & Health Checks: perform regular "Tenant Health Checks" to ensure no "broken" learning links exist and that talent pools are populated with active employees.
• Unified Talent Optimisation & Learning Architecture
• Skills Cloud Alignment: manage the Workday Skills Cloud as the common language between modules. You ensure that skills identified in a Performance Review (Talent) map directly to the Course Catalog (Learning).
• Career Hub Management: configure the Career Hub to show employees "Suggested Learning" based on their specific career interests and job profile requirements, without relying on AI-automated suggestions.
• Peakon Employee Voice
• Survey architecture: manage end-to-end survey design, including the strategic integration of Custom Questions and localized attributes to ensure insights are relevant without causing "survey fatigue."
• Platform mastery: act as the primary administrator for the Peakon dashboard, configuring complex permissions and navigating both manager and administrator views to ensure seamless data access.
• Benchmarking: maintain a pulse on organizational health by analyzing how company performance aligns with Gaming industry benchmarks provided within the Peakon ecosystem.
• Statistical integrity: apply statistical logic to all datasets—evaluating significance and participation thresholds—to ensure leadership decisions are based on robust, reliable data rather than outliers.
• Deep-Dive segmentation: utilize advanced segmentation skills to slice data by department, tenure, and location, pinpointing specific "pockets" of engagement or friction.
• Trend analysis: distinguish between cyclical fluctuations and systemic cultural shifts by identifying long-term patterns in "growth" and other key engagement drivers.
• Closing the feedback loop: design and oversee the internal communication process, ensuring survey results are transparently shared back with employees to build trust and ensure every voice feels heard.
• Actionable reporting: translate raw data into clear, narrative-driven reports that help stakeholders move from "viewing scores" to "taking action."
• System Support & Enhancement
• Provide functional support for user inquiries and issues related to these modules.
• Participate in the planning, testing, and deployment of Workday bi-annual releases, assessing impact on owned modules.
• Develop and maintain custom reports (RaaS) and calculated fields specific to Talent, Learning and Peakon.
• Maintain comprehensive documentation for configurations, processes, and integrations.

We're looking for someone with:

• 3+ years of hands-on experience as a Workday Administrator or Functional Lead.
• Proven expertise with Talent Optimisation, Learning Management, and Employee Voice - Peakon business process configuration.
• Proficiency in Workday Business Process configuration, security, and reporting (RaaS, Calculated Fields).
• Excellent analytical, problem-solving, and troubleshooting skills.
• Ability to translate business requirements into effective Workday Learning and Listening solutions.
• Strong communication and collaboration skills, with a focus on employee experience.
• Fluency in spoken and written English is required to support global documentation and communication with cross-functional teams.

Bonus points for:

• Workday Pro certification in Workday Learning, Talent Optimisation or Employee Voice Peakon.
• Experience with other Workday modules (Learning, Peakon, Talent Optimisation) and their interdependencies.
• Experience working in a global organization.

• Experience in Technical and People leadership
• Deep understanding of the software development lifecycle
• Proven experience leading cross-functional teams (e.g. engineering, design, product, QA, data)
• Experience resolving complex engineering and communication issues
• Great time management, organizational and multitasking skills

• Experience with developing, deploying, and maintaining  frontend applications or microservices-oriented applications
• Experience in online casino or sports betting products and driving improvements to them

• Leading the team of engineers; reporting directly to you will be engineers (tech leads, software engineers, QAs)
• Ensure growth and development opportunities for all team members which includes employee coaching and mentoring, identifying and removing roadblocks and distractions, running regular 1:1s and feedback sessions with team members, performing performance reviews for the direct reports
• Nurturing a strong relationship with other engineering managers, technical leads and product managers
• Stakeholder coordination: defining priorities, managing expectations, ensuring regular updates and follow-ups regarding the teams’ scope of work
• Supporting engineering department goals by setting team requirements, goals and timelines
• Making relevant technical and business decisions that ensure predictable delivery in terms of timelines, stability, and performance
• Building and maintaining the culture of engineering excellence - we don’t cut corners when it comes to quality and reliability

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

As Super Technologies continues to scale its product and technology platform across multiple markets, we are looking for a Principal Product Go-to-Market (GTM) Manager to own the go-to-market strategy for one of our core product verticals.

This role sits at the intersection of Product, Local Market Operations and Marketing, partnering closely with Product and Country leadership to ensure product innovation translates into clear player value and strong commercial outcomes across markets.

You will work closely with product teams throughout the product lifecycle, bringing market insights, player behaviour and commercial context into how products are built and brought to market.

This role combines strategic ownership with hands-on execution, ensuring products launch successfully across markets and deliver strong player adoption and commercial impact. Depending on the product vertical, the role may also include leadership responsibilities within the GTM function.

What you’ll be doing:

GTM Strategy

• Own and evolve the go-to-market strategy for a major product area, ensuring strong player adoption and commercial impact.
• Define how the product is positioned, launched and scaled across markets, influencing roadmap priorities through market insights and commercial context.
• Contribute to the development of GTM frameworks, processes and best practices that scale across product areas and markets.

Product Partnership

• Partner closely with Product leadership from concept and discovery through launch and iteration as a strategic GTM partner.
• Translate complex product capabilities into clear player value and market narratives.

Product Launches

• Lead and execute go-to-market strategies for new products, features and enhancements to drive player adoption and commercial impact.
• Coordinate cross-functional launches across Product and local market operations teams to ensure markets are operationally ready and launches are executed successfully.

Adoption and Experimentation

• Define success metrics for launches and feature adoption, using experimentation and data insights to continuously refine GTM strategies and improve player engagement.
• Communicate launch performance, insights and GTM learnings to senior stakeholders to inform product and market strategy.

Player Insight

• Champion the player perspective by bringing player behaviour and local market insights into product decisions and roadmap priorities.
• Maintain strong awareness of competitor products, market trends and industry developments to inform product positioning, differentiation and launch strategy.

What we’re looking for:

• 8+ years of experience in Product GTM, Product Marketing, Product Strategy, Product Management or similar roles in high-velocity digital product companies.
• Proven experience launching and scaling complex consumer digital products or high-frequency transactional platforms.
• Strong experience partnering closely with Product teams throughout the product lifecycle.
• Ability to translate complex product capabilities into clear player value and market impact.
• Strong stakeholder management across Product and local market operations teams.
• Comfortable working with data, experimentation and testing to guide decisions and improve outcomes.

Domain experience we value

Experience in high-frequency digital platforms or entertainment products is particularly valuable. This may include:

• Sports betting or sportsbook products
• Online casino or gaming platforms

We’re looking for candidates who enjoy working closely with product teams and are passionate about building great player experiences at scale.

A passion for sports, gaming or entertainment products is highly valued.

We’re looking for a Senior Product Manager with a passion for mobile games and a proven track record of creating and delivering engaging, commercially successful gaming content. You’ll own the product vision and roadmap for the Content Creation product area, leading cross-functional game studios to drive growth, retention, and monetisation.

As a senior voice in the product team, you’ll balance player delight with commercial performance - turning insights into actions and ensuring our games remain fun, fresh, competitive, safe and compliant.

What we’re looking for:

• 5+ years of product management experience, with at least 2 years in mobile or iGaming games development.
• Visionary and strategic leader with a hands-on approach, known for ambitious thinking and natural problem-solving.
• Proven track record of leading cross-functional game studios, aligning on goals, timelines, and deliverables.
• Strong analytical mindset, with experience using tools like Tableau, Looker, Amplitude, or similar.
• Deep understanding of game mechanics, player behaviour/psychology, live ops, and engagement strategies.
• Passionate about games - you play them, understand the market, and have sharp insights on what makes a game great.
• Comfortable operating in fast-paced, agile environments.
• Proactive and curious, with strong attention to detail and a willingness to learn.
• Excellent communication skills, able to coordinate across teams and serve as a central point of contact for stakeholders.
• Bonus: Experience scaling game studios, regulatory/compliance, balancing game economies, or launching titles globally.

What you’ll be doing:

• Define and execute the product strategy and roadmap, prioritising high-impact initiatives for in-house gaming content to drive key outcomes and achieve OKRs.
• Own and optimise core KPIs, including DAU, LTV, retention, and monetisation performance.
• Communicate product vision and performance to senior leadership, ensuring cross-departmental alignment and facilitating stakeholder input on the content strategy.
• Lead cross-functional squads - including designers, engineers, QA, artists, and analysts - to deliver games and features that enhance both player experience and commercial outcomes.
• Drive GTM, Live Ops, and marketing initiatives, leveraging high-trust relationships with local market stakeholders to ensure regional relevance and optimal product-market fit.
• Define a hypothesis-driven development process, partnering with Research and Experimentation teams to validate concepts via rigorous data analysis, using multiple research methods, before committing resources.
• Translate user research, data analytics, and market trends into actionable product opportunities and strategic insights.
• Lead the Product Development Lifecycle, acting as a primary escalation point to mitigate risks and remove technical or operational blockers.
• Champion a player-centric culture while maintaining a rigorous focus on achieving overarching business objectives, including active involvement in product UAT.
• Mentor and manage other Product Managers, fostering professional growth and establishing departmental best practices.
• Manage the product backlog and author comprehensive PRDs, ensuring all development work is ruthlessly prioritised based on validated hypotheses, player value, and projected ROI.
• Perform deep-dive performance analysis using SQL (Snowflake) and BI dashboards to identify and execute on-game optimisation opportunities.