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 

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 

Gaming Platform Backend Engineer

About the Team

The Gaming Platform team at Super owns the core transaction pipeline that powers every gaming interaction across our ecosystem, from spins and sessions to financial transactions.

This platform sits at the heart of our gaming architecture, connecting multiple game providers across jurisdictions. The team is responsible for ensuring high reliability, scalability and performance of this critical infrastructure.

The system is built on Erlang.

What you’ll do

As a Backend Engineer, you will play a key role in building and operating a high-throughput, distributed gaming platform.

Core responsibilities

• Transaction Pipeline Ownership
  • Develop, maintain and optimise internal services powering the gaming ecosystem.
  • Deliver new features, resolve bugs and continuously improve performance across Erlang services.
• Provider Integrations & Configuration
  • Integrate and manage configurations for multiple game providers.
  • Support provider migrations and upgrades.
• Infrastructure & Platform Engineering
  • Manage and optimise Kubernetes workloads within AWS.
  • Tune system resources (CPU, memory), Kafka configurations, DynamoDB usage and DNS setups.
  • Collaborate with SRE teams on cross-platform reliability and scalability.

• On-call & Incident Response
  • Act as an escalation point for production issues.
  • Investigate and resolve platform incidents, perform root cause analysis and drive fixes.
  • Office hour on-call and out of office hour on-call is possible.
• Scalability & Performance
  • Monitor and scale platform capacity during high-traffic campaigns.
  • Prevent service degradation and ensure seamless player experience under load.
• Cross-team Collaboration
  • Support internal teams (Engagement, Content Integrations, Integration teams) with API usage and transaction behaviour.
  • Enable features such as free spins, bonus rounds and other gameplay mechanics.

Key Projects & Initiatives

You’ll contribute to and shape several high-impact initiatives, including:

• Gaming infrastructure improvements and traffic optimisation.
• Provider reliability and integration layers.
• Platform observability and debugging enhancements.
• Grafana enhancements.
• AI-driven development improvements.

Tech Stack

• Languages: Erlang (prior experience in other functional languages is a plus, or willingness to learn).
• Cloud & Infrastructure: AWS, Kubernetes.
• Data & Streaming: DynamoDB, Kafka.
• Monitoring: Grafana.
• Tools: GitHub, Jira, AI-assisted development tools (e.g. Claude Code).

What We’re Looking For

• Solid understanding of high-availability, low-latency systems.
• Strong backend engineering experience in distributed systems.
• Experience with Erlang (or willingness to learn).
• Hands-on experience with cloud infrastructure (AWS) and Kubernetes.
• Familiarity with event-driven architectures (e.g. Kafka).
• Strong debugging and incident management skills.
• Ability to work in a fast-paced, high-scale production environment.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

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.

We are currently looking for a new Product Support Operator to join our team! Cooperating with the rest of the team, you will provide your expert support and ensure all of our online-related software product issues get resolved and documented.

What you'll be doing:

• Providing technical support for our online software products, be they developed by internal development teams or third-party suppliers
• Supporting Helpdesk and IT field teams
• Documenting product issues and creating Incident reports
• Announcing scheduled maintenance and providing necessary support during maintenance
• Updating Product support procedures to ensure internal and provider SLA provisions are met
• Product performance monitoring and testing
• Collecting product data, analysing it and producing technical metrics and statistics for market use

We're looking for someone with:

• Customer and/or product support experience
• Proficiency with Microsoft Office tools
• Experience working with issue tracking tools (e.g. JIRA, Teamwork, Trello etc.)ls
• Fluency in English language
• Great communication skills, professionalism and an affinity for teamwork
• No issue with working in shifts
• High levels of adaptability to demanding situations and time constraints
• Base in Athens

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

The Senior Employee Relations Partner is a strategic role responsible for building and embedding best‑practice employee relations capabilities across the organization. The focus of the role is on knowledge sharing, capability building, and programmatic ER and compliance frameworks, rather than direct ownership of all individual employee relations cases.

The role is designed to create consistency, scalability, and risk mitigation across employee relations and compliance as the company continues to grow and expand internationally.

Key Responsibilities

Employee Relations Strategy & Frameworks

• Design and implement group‑wide employee relations frameworks, policies, and guidelines aligned with local labor regulations and business needs.
• Establish best‑practice ER standards and ensure consistent application across countries and business units.
• Take a programmatic approach to ER, identifying themes, systemic risks, and improvement opportunities across the organization.

Compliance Policies & Governance

• Lead the development, review, and maintenance of employee‑related compliance policies across all relevant topics (e.g. conduct, disciplinary processes, grievances, harassment, ethics, investigations, whistleblowing, working conditions, and related employment compliance areas).
• Ensure compliance policies are globally consistent yet locally adaptable, reflecting applicable labor laws and regulatory requirements in each jurisdiction.
• Partner closely with Legal to ensure policies are legally sound, risk‑mitigated, and aligned with regulatory expectations.
• Establish clear policy governance, ownership, and escalation models, including guidance on interpretation and application by HR and leaders.
• Drive effective policy communication, training, and awareness, ensuring policies are understood and consistently applied across the organization.

Capability Building & Knowledge Sharing

• Build ER and compliance capability within HR and leadership teams through guidance, toolkits, playbooks, and training.
• Act as a center of expertise for complex employee relations and compliance topics, supporting HR teams rather than managing all cases directly.
• Develop and deliver learning sessions, case studies, and practical guidance to upskill local HR teams.

Advisory Role (Not Case Ownership)

• Provide strategic advice and escalation support for complex or high‑risk ER and compliance matters, without assuming responsibility for managing all individual cases end‑to‑end.
• Unlike localized ER roles (e.g. full case ownership in specific countries), this role does not manage all ER cases across the business, but supports them through expertise and frameworks.

Risk Management & Insights

• Monitor ER and compliance trends, disputes, and risk exposure to proactively identify and address potential systemic issues.
• Use insights from cases and policy application to continuously improve frameworks, guidance, and training.

Collaboration with Legal

• Work hand‑in‑hand with the Employment Lawyer role under the Legal function.
• Partner closely on:
• Complex employee relations and compliance matters
• Policy interpretation and legal validation
• International expansion into new jurisdictions

Key Stakeholders

• HR Leadership and HR Business Partners
• Local HR Ops
• Legal  - Employment Lawyer
• Senior Leaders and People Managers
• People & Culture, Rewards, Talent, and Compliance functions

Role Scope & Boundaries

• Ownership of ER and employee‑related compliance frameworks.
• Focus on scalable, policy‑driven solutions rather than country‑specific execution.
• ER case management remains with local HR teams, supported by this role through expertise, policies, and governance.

The Senior Employee Relations Partner is a strategic role responsible for building and embedding best‑practice employee relations capabilities across the organization. The focus of the role is on knowledge sharing, capability building, and programmatic ER and compliance frameworks, rather than direct ownership of all individual employee relations cases.

The role is designed to create consistency, scalability, and risk mitigation across employee relations and compliance as the company continues to grow and expand internationally.

Key Responsibilities

Employee Relations Strategy & Frameworks

• Design and implement group‑wide employee relations frameworks, policies, and guidelines aligned with local labor regulations and business needs.
• Establish best‑practice ER standards and ensure consistent application across countries and business units.
• Take a programmatic approach to ER, identifying themes, systemic risks, and improvement opportunities across the organization.

Compliance Policies & Governance

• Lead the development, review, and maintenance of employee‑related compliance policies across all relevant topics (e.g. conduct, disciplinary processes, grievances, harassment, ethics, investigations, whistleblowing, working conditions, and related employment compliance areas).
• Ensure compliance policies are globally consistent yet locally adaptable, reflecting applicable labor laws and regulatory requirements in each jurisdiction.
• Partner closely with Legal to ensure policies are legally sound, risk‑mitigated, and aligned with regulatory expectations.
• Establish clear policy governance, ownership, and escalation models, including guidance on interpretation and application by HR and leaders.
• Drive effective policy communication, training, and awareness, ensuring policies are understood and consistently applied across the organization.

Capability Building & Knowledge Sharing

• Build ER and compliance capability within HR and leadership teams through guidance, toolkits, playbooks, and training.
• Act as a center of expertise for complex employee relations and compliance topics, supporting HR teams rather than managing all cases directly.
• Develop and deliver learning sessions, case studies, and practical guidance to upskill local HR teams.

Advisory Role (Not Case Ownership)

• Provide strategic advice and escalation support for complex or high‑risk ER and compliance matters, without assuming responsibility for managing all individual cases end‑to‑end.
• Unlike localized ER roles (e.g. full case ownership in specific countries), this role does not manage all ER cases across the business, but supports them through expertise and frameworks.

Risk Management & Insights

• Monitor ER and compliance trends, disputes, and risk exposure to proactively identify and address potential systemic issues.
• Use insights from cases and policy application to continuously improve frameworks, guidance, and training.

Collaboration with Legal

• Work hand‑in‑hand with the Employment Lawyer role under the Legal function.
• Partner closely on:
• Complex employee relations and compliance matters
• Policy interpretation and legal validation
• International expansion into new jurisdictions

Key Stakeholders

• HR Leadership and HR Business Partners
• Local HR Ops
• Legal  - Employment Lawyer
• Senior Leaders and People Managers
• People & Culture, Rewards, Talent, and Compliance functions

Role Scope & Boundaries

• Ownership of ER and employee‑related compliance frameworks.
• Focus on scalable, policy‑driven solutions rather than country‑specific execution.
• ER case management remains with local HR teams, supported by this role through expertise, policies, and governance.

We are searching for a motivated and detail-oriented Workday HCM Analyst to join our HR Technology team. This role is a fantastic entry point for someone looking to build a career in HRIS, focusing on the "engine" of our HR department: Workday Core HCM and our employee support ecosystem.
As a Workday Analyst, you will be responsible for maintaining the integrity of our people's data and ensuring that our core HR processes run seamlessly. Additionally, you will play a key role in supporting Workday Help, ensuring our employees have the right resources and support channels at their fingertips.

What you'll be doing:

Core HCM & Data Integrity:

• Organizational Management: maintain and update supervisory organizations, cost centers, and location hierarchies.
• Employee Lifecycle Support: assist in the administration of core business processes, including hires, job changes, promotions, and terminations.
• Data Stewardship: Act as the guardian of our "source of truth," performing regular audits on worker records, job profiles, and organizational structures to ensure data accuracy.

Workday Help & Employee Experience:

• Help Desk Administration: Assist in the setup and maintenance of Workday Help, including the configuration of case types and routing rules for employee inquiries.
• Knowledge Management: Support the creation and maintenance of the internal Knowledge Base, ensuring articles are up-to-date and easily accessible to employees.
• Service Delivery: Monitor ticket trends within Workday Help to identify common pain points and suggest system improvements.

System Support & Reporting:

• Functional Support: Serve as the first line of defense for user inquiries, helping employees and managers navigate Workday tasks and resolving basic access or process issues.
• Custom Reporting: Develop and maintain basic custom reports to provide HR stakeholders with actionable data.
• Release Management: Participate in the testing of Workday’s bi-annual feature releases, identifying how new HCM and Help functionality can benefit the organization.

We're looking for someone with:

• Experience: 1–2 years of experience in an HR, IT, or Data Analytics environment. Previous exposure to Workday is highly advantageous.
• Technical Aptitude: A strong interest in HR technology and the ability to quickly learn complex software configurations.
• Knowledge of Support Tools: Familiarity with or a strong desire to learn Workday Help or similar HR ticketing/case management systems.
• Communication: Clear verbal and written English skills; ability to write "employee-facing" content for knowledge base articles.
• Problem-Solving: A methodical approach to troubleshooting with a high degree of attention to detail.

We're looking for someone who:

• Is interested in building a career in payments, antifraud, and risk
• Has a good level of English (both written and spoken)
• Is detail-oriented with a strong analytical mindset
• Is naturally curious and attentive to irregularities
• Has a proactive approach and looks for ways to improve processes
• Is comfortable working in a dynamic, shift-based environment (including weekends and holidays)
• Has experience or interest in payment operations, reconciliation, or fraud/risk (a plus)

What you’ll be doing:

• Monitor daily payment flows (deposits, withdrawals, refunds) across multiple payment methods and markets
• Track transaction performance, identify issues, and ensure smooth payment operations
• Investigate and resolve payment-related issues (e.g. delays, missing transactions, PSP performance)
• Perform reconciliations between platform, PSPs, and bank data, ensuring accuracy and resolving discrepancies
• Support chargeback and dispute processes, including monitoring and documentation
• Collaborate with internal teams (Finance, Risk, Customer Support, Product) and external PSPs
• Act as a point of contact for payment incidents and ensure timely resolution
• Contribute to fraud prevention efforts and ongoing process improvements

Think of a product. Like lean, mean software. For sports betting. With the best possible real-time solutions. Now think of innovating the testing process. Stopping bugs from reaching production. Paying special attention to how and what is delivered. Directly tailoring the experience for tens of thousands of people daily. Sounds interesting?

What You’ll Be Doing:

• Be responsible for designing, implementing, and managing automated tests across the product suite
• Design and implement comprehensive test automation solutions that encompass web applications, web services (microservices), and native apps. Ensure coverage across various testing types, including UI testing, API testing, and others, to support robust quality assurance practices
• Collaborate with business stakeholders to define acceptance criteria for software projects
• Be jointly responsible for the maintenance and quality of codebases and infrastructure
• Issue Investigation and Reporting
• Quality Control: Ensure we have vital checks on all our products (metrics, health checks) dashboards, ensure critical business scenarios are covered and automate them.
• Making sure tests run in Continuous Integration

We Are Looking for Someone Who:

• Has a minimum of Bachelor’s degree in Computer Science or a related discipline
• Is highly proficient in Functional or Object-oriented programming
• Has strong understanding of QA processes and demonstrated experience in defining and implementing test designs from scratch
• Has extensive experience with test automation tools (Selenium, Cypress, Playwright etc.)
• Has extensive experience writing backend tests (API, unit, database) and testing RESTful services using tools such as Postman or SoapUI
• Has understanding of Non-Functional testing, especially Load and Performance testing
• Prefers a shift-left testing approach

Nice to Have:

• ISTQB certification
• Experience with BDD (Behaviour Driven Development)
• Knowledge of Ruby or JavaScript
• Experience using Xray or similar Test Management tool
• Experience with event-driven architecture (Kafka, AWS, Docker etc.), preferably in a Product environment

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.

• Owning the full development lifecycle – from planning and implementation to release and maintenance
• Building innovative solutions using modern technologies such as TypeScript, Vue, AWS, Docker, k8s, GitHub Actions and more...
• Leveraging best-in-class tools like Notion, Jira Cloud, GitHub, Zoom, Lattice, and Slack to maximize productivity and collaboration
• Collaborating cross-functionally with backend, frontend, design and QA engineers across squads, as well as our product team.
• Working on new product features that should provide a big customer growth by the end of the year
• Contributing to a high-growth environment
• Ensuring reliability, security, and compliance while keeping customer friction to a minimum

• 3+ years of frontend development experience with strong knowledge of JavaScript and TypeScript
• A self-starter mentality – we need autonomous engineers who proactively unblock themselves, collaborate across teams, and take initiative
• Strong attention to detail and a commitment to delivering exceptional products
• Deep understanding of best practices, design patterns, and core principles in software development
• A customer-first mindset – an understanding of how frontend decisions impact millions of users
• Strong problem-solving skills – ability to navigate complex domains and optimize high-traffic, high-availability systems
• Take ownership for technical quality, development process and developer experience
• A team-first mindset, thriving in collaborative environments where success is shared
• Willingness to learn new things. Even though Frontend will be major part of the day-to-day, we seek for an engineer who is open to learn and contribute to occasional BE tasks as well.

• Experience working in high-growth, high-scale environments.
• Experience in Go

• 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

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We are looking for a Staff Software Engineer who will operate far beyond the scope of a single team or service. In this role, you will work directly with senior engineering leadership to tackle large, cross-area technical challenges that impact dozens — sometimes hundreds — of services across the platform.

This is a role for someone who thrives on complex systems, ambiguous problems, and high-impact architectural decisions. You will help shape technical strategy, guide major platform evolutions, and ensure our systems remain scalable, reliable, and efficient as we grow.

We're are looking for someone who has:

• A minimum of 8 years of hands on experience in a large scale production environment
• Has experience in designing and implementing solutions on an organizational level, impacting multiple teams/tribes
• Has experience engineering high-quality, highly scalable software 
• A willingness to learn new technologies (we are working with Golang, Erlang)
• Strong system design fundamentals, particularly in distributed systems 
• Ability to analyze complex technical problems and develop clear strategies
• Comfort working in ambiguous, high-impact problem spaces 
• Strong communication skills and the ability to influence technical direction across teams
• A passion for creating user-centric, data driven solutions

Bonus points for:

• Experience in Fintech
• Interest in Functional Programming

What you will do:

• Collaborate closely with engineering leadership and teams to design and implement scalable and robust software solutions
• Analyze complex system challenges and create strategies for improving architecture, scalability, and platform efficiency
• Drive large cross-team initiatives from concept to execution, influencing decisions and aligning multiple teams
• Enhance system automation (scale, resiliency, deployment)
• Build and enhance core platform components and shared libraries (AWS, Go, Erlang, Kafka) used across the organization
• Work with technical and non-technical stakeholders from the wider organization to understand and drive improvements across the platform
• Build on our CloudNative platform, enabling more use of AWS technology to aid in speeding up delivery, scale, and resiliency
• Grow the engineering community, building on the existing process and practices
• Elevate engineering standards, helping teams grow and operate more efficiently

🚀 Why this role matters

Happening powers the technology behind Superbet’s platforms and brands, serving millions of customers. Our Game Integrations squad connects third-party providers to our core platform and ensures those experiences are reliable, scalable, and compliant.

We’re growing and scaling fast, and we need a Backend Engineer who can deliver high-quality integrations, shape engineering standards, and help accelerate how quickly new providers go live.

How we work: We’re product-minded squads with strong ownership, candid feedback, and measurable outcomes. We build, run, and continuously improve the tech that powers Superbet’s customer experience.

What you’ll do

• Build integrations end-to-end - design contracts, implement services, write tests, and ship with confidence.

• Own reliability - define SLIs/SLOs, set up observability (metrics, logs, traces), and join on-call.

• Keep systems healthy - tackle production issues, reduce tech debt, and simplify through pragmatic refactors.

• Work across boundaries - collaborate with Product, Compliance, SRE, Data, Security, and external partners to keep delivery smooth.

• Level up the team - mentor more junior teammates through sharp code reviews, pairing, and knowledge sharing.

🛠️ Tech we use

• Node.js + TypeScript (backend services & integrations)

• Kubernetes (K8s) in production, CI/CD pipelines, containerized deployments

• REST APIs with versioning & backward compatibility

• Observability stack → metrics, tracing, logging, dashboards, and alerts

What we’re looking for

• 3+ years building backend systems (ideally integrations) with Node.js + TypeScript

• Event-driven systems (Kafka) and low-latency/high-throughput workloads

• Solid production experience with Kubernetes and CI/CD pipelines

• Strong background in API design (REST) and maintaining compatibility at scale

• Focus on testing & quality (unit, integration, QA collaboration)

• Ability to write clear docs and status updates that keep teammates aligned

Nice to have  

• Experience with Nest.js

• Gaming/fintech/e-commerce integrations (wallets, catalogs, identity, compliance)

• Experience in regulated environments with staged rollouts

🚀 Why this role matters

Happening powers the technology behind Superbet’s platforms and brands, serving millions of customers. Our Game Integrations squad connects third-party providers to our core platform and ensures those experiences are reliable, scalable, and compliant.

We’re growing and scaling fast, and we need a Backend Engineer who can deliver high-quality integrations, shape engineering standards, and help accelerate how quickly new providers go live.

How we work: We’re product-minded squads with strong ownership, candid feedback, and measurable outcomes. We build, run, and continuously improve the tech that powers Superbet’s customer experience.

What you’ll do

• Build integrations end-to-end - design contracts, implement services, write tests, and ship with confidence.

• Own reliability - define SLIs/SLOs, set up observability (metrics, logs, traces), and join on-call.

• Keep systems healthy - tackle production issues, reduce tech debt, and simplify through pragmatic refactors.

• Work across boundaries - collaborate with Product, Compliance, SRE, Data, Security, and external partners to keep delivery smooth.

• Level up the team - mentor more junior teammates through sharp code reviews, pairing, and knowledge sharing.

🛠️ Tech we use

• Node.js + TypeScript (backend services & integrations)

• Kubernetes (K8s) in production, CI/CD pipelines, containerized deployments

• REST APIs with versioning & backward compatibility

• Observability stack → metrics, tracing, logging, dashboards, and alerts

What we’re looking for

• 3+ years building backend systems (ideally integrations) with Node.js + TypeScript

• Event-driven systems (Kafka) and low-latency/high-throughput workloads

• Solid production experience with Kubernetes and CI/CD pipelines

• Strong background in API design (REST) and maintaining compatibility at scale

• Focus on testing & quality (unit, integration, QA collaboration)

• Ability to write clear docs and status updates that keep teammates aligned

Nice to have  

• Experience with Nest.js

• Gaming/fintech/e-commerce integrations (wallets, catalogs, identity, compliance)

• Experience in regulated environments with staged rollouts

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.

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

Are you excited about building modern data infrastructure that powers self-service analytics and high-quality data products at scale? At Super Technologies, data is a strategic enabler of decision-making, experimentation, and performance measurement. Our Analytics Platform team builds the foundations that make data reliable, accessible, and actionable, partnering closely with product, analysts, data scientists, and engineering teams to measure what matters.

You’ll be joining a mature and growing community of 40+ data engineers who are shaping one of the most advanced data ecosystems in the industry.

What you'll be doing:

• Design, build, and evolve scalable ETL/ELT pipelines for high-volume, fast-changing datasets
• Own medium-to-large data initiatives end-to-end, from requirement shaping and technical design to production rollout and ongoing improvement
• Model reliable, analytics-ready data using proven warehouse methodologies such as Kimball, Inmon, or similar approaches
• Develop and maintain curated analytical layers, semantic models, and data marts that enable self-service and trusted decision-making
• Orchestrate robust workflows using tools such as Apache Airflow and improve reliability, observability, and maintainability of data pipelines
• Partner with software engineers, analysts, product managers, and business stakeholders to translate ambiguous requirements into scalable data solutions
• Proactively identify data quality, performance, and modeling issues and drive improvements before they become business problems
• Contribute to architecture and engineering decisions within your domain, balancing speed, quality, and long-term maintainability
• Mentor less senior data engineers through code reviews, design discussions, documentation, and day-to-day guidance
• Raise the engineering bar through testing, automation, CI/CD practices, clear documentation, and thoughtful technical standards

We're looking for:

• Strong SQL and Python skills, with solid hands-on experience building production-grade data pipelines and analytical models
• Deep understanding of dimensional modeling methodologies and modern data warehouse design in platforms such as Snowflake, BigQuery, or similar
• Experience owning projects independently and driving delivery across multiple stakeholders or teams
• Solid experience with orchestration tooling such as Airflow, Dagster, or similar
• Strong understanding of data quality, lineage, observability, and operational excellence in a data engineering environment
• Ability to take ambiguous business problems and turn them into clean, maintainable, well-documented data solutions
• Experience working with cloud platforms, preferably AWS, though Azure or GCP experience is also valuable
• Confidence influencing technical decisions within your team and collaborating effectively with both technical and non-technical stakeholders
• Strong communication skills and a collaborative, problem-solving mindset

Bonus points for:

• Experience with event-driven source systems
• Experience with cloud-native analytical databases like Snowflake, BigQuery, Databricks
• Familiarity with semantic layers, metrics modeling, and enabling data products beyond traditional BI reporting
• Exposure to experimentation-driven or product-led environments
• Experience with data governance, cataloging, and documentation practices such as DataHub
• Experience improving developer productivity through tooling, shared frameworks, or reusable patterns
• Multi-cloud exposure and understanding of platform trade-offs

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

We are one of the largest sports betting operators in the region making 1000+ location networks work across multiple geographies. If you ever wanted to see how software can handle 22 million bets per month - why not join us?

We're looking for someone who

• Holds at least a Bachelor's Degree in Computer Science or a related field
• Has 5+ years of experience building high-quality software and values strong engineering practices like code reviews, CI/CD, and design documents
• Excels at writing clean, maintainable, and well-tested code with a focus on performance and scalability
• Embraces best practices in software engineering, such as comprehensive code reviews and thoughtful design documentation
• Is passionate about delivering high-quality solutions that anticipate and exceed customer needs
• Enjoys working in a collaborative team environment and communicates effectively with others

Bonus points for

• Experience with our tech stack/tools: Golang, Kubernetes, Kafka
• A passion for cloud technologies
• Familiarity with AWS services
• Experience in the betting/gaming industry

What you will be doing

• Contributing directly to the design and code of our platform;
• Optimizing the platform to support product features more efficiently;
• Focusing on ensuring the platform is stable and reliable;
• Supporting platform expansion into new markets and maintaining a stable hosting environment;
• Enabling traders to define what we map to our external offerings;
• Impacting product health in terms of scalability, speed, quality, and flexibility;
• Maintaining low latency and high success rates for the platform, directly improving user experience;
• Conducting design and code reviews and providing mentorship to other team members;
• Continuously iterating to engage customers and bring excitement to the Sports Betting and Gaming industry.

• Develop and maintain reusable, maintainable, and high-quality code for our Android applications.
• Ensure code is optimised for performance, scalability, and security.
• Collaborate closely with the product team to conceptualise, design, and implement new features and innovative experiments.
• Actively participate in brainstorming sessions, providing technical insights to shape product ideas.
• Contribute to the continuous improvement of our technology stack, adopting best practices and exploring new tools and frameworks.

• Develop and maintain reusable, maintainable, and high-quality code for our Android applications.
• Ensure code is optimised for performance, scalability, and security.
• Collaborate closely with the product team to conceptualise, design, and implement new features and innovative experiments.
• Actively participate in brainstorming sessions, providing technical insights to shape product ideas.
• Contribute to the continuous improvement of our technology stack, adopting best practices and exploring new tools and frameworks.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.