At Superbet, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

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.

• Responding promptly to customer inquiries.
• Communicating with customers through various channels.
• Acknowledging and resolving customer complaints.
• Troubleshooting common issues with a product or service
• Knowing our products inside and out so that you can answer questions.
• Keeping records of customer interactions, comments, and complaints.
• Ensure customer satisfaction and provide professional customer support.
• Maintaining a positive, empathetic, and professional attitude toward customers at all times.

• Proves excellent written and oral communication skills.
• Has customer orientation and ability to adapt/respond to different types of characters.
• Has good computers skills.
• Proves high attention to details.
• Has the ability to work under stressful and testing situations with customers.
• Has experience in customer service or customer facing roles

• Is interested in developing your career in the payment, antifraud and risk department;
• Is detail-oriented and an analytical problem-solver;
• Is naturally inquisitive and alert to irregular activity;
• Is innovative - to identify opportunities for improvements in existing processes;
• Proves good written and spoken English;
• Is willing to work shifts, weekends and Public Holidays;
• Has the ability to collaborate with team members from diverse nationalities and backgrounds;
• Has the ability to handle high-pressure situations and maintain composure;
• Is persistent and determined to achieve goals and meeting deadlines;

• Perform risk assessment of new and existing players at different stages;
• Ensuring all payment transactions are processed accurately and in a timely manner, complying with all operating procedures;
• Handle and verify KYC documents;
• Collaborate with the AML department;
• Help the CS team with payments and risk related players’ queries as well as process withdrawals;
• Communicate with the whole Team of a few nationalities – Polish, Romanian, Croatian, and Serbian;
• Assess and escalate cases accordingly to the responsible departments;
• Liaise with the other stakeholder service providers to solve payment processing issues and provide a high level of service towards the players;
• Use acquired skills to research and discover/solve fraud cases involving, but not limited to Credit card fraud, Bank Fraud, Identity theft;
• Take part in improving workflows and procedures;
• Ad hoc tasks when required by the Team Leader.

As a Junior AML Officer you will be part of the Anti-Money Laundering (AML) department that has the responsibility for managing, maintaining, and supporting the implementation of AML/CFT obligations across the brands operated by Super in Romania.
In this role you will be designated as a person responsible for enforcement of the AML legislation and your designation will be formally notified to the Romanian FIU (ONPCSB). 
During your day-to-day activities you will work closely with the 1st line of defense (both Retail and Online staff), the AML department and other internal stakeholders to ensure effective customer due diligence, transaction monitoring, reporting, and overall compliance with AML/CFT regulations.

We're looking for someone who: 

• Has a university degree in Law or Economic studies with at least one year experience working in operational AML activities or similar compliance-focused role
• Is fluent in English, with the ability to understand and interpret legal and regulatory language and communicate clearly with internal and external stakeholders
• Has analytical and investigative skills, capable of identifying unusual patterns, assessing risks, and drawing evidence-based conclusions
• Is a team player with the ability to work remotely and unsupervised within a multinational, interdisciplinary and fast-paced environment
• Is comfortable navigating change, challenging existing processes, and proactively identifying opportunities for improvement
• Has very good verbal and written communication skills
• Has strong organizational skills, a structured approach to work, and high-level attention to detail
• Is able to demonstrate a high level of professional integrity, respecting confidentiality requirements related to customer data, internal investigations, and regulatory reporting

Desired but not Essential

• Has previous experience in the gambling industry

What you’ll be doing:

• Assist with the implementation of the AML program for departments with AML responsibilities
• Act as the 2nd line of defense in AML affairs: monitor escalations made by the Operations team, assess PEP and Sanction alerts generated by internal systems, perform enhanced due diligence checks on customers in line with internal provisions
• Carry out AML risk assessments of B2B partners in accordance with the Company’s internal policies and procedures
• Liaise with the local authorities (ONJN, ONPCSB, Police, etc.) on any AML/CFT related inquiries
• Report suspicious activity to the Romanian FIU (ONPCSB) via its online platform
• Assess and investigate any potential risks or violations of the AML Program
• Aid in the improvement of tools used to monitor, analyze and report suspicious activity

• 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

At Super Technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Data Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behavior, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Super Technologies to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Super Technologies moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical and ML methods and bringing them to life in dashboards (we use Tableau). It would be also great if you have experience/basic knowledge of python or R.
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engineering, Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 4+ years of relevant experience.

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.

We’re looking for a Performance Marketing Executive who’s passionate about performance marketing and eager to drive results in a fast-paced environment.
If you love diving into data, optimizing campaigns and uncovering growth opportunities, this might be the perfect role for you!

We're looking for someone who:

• Running and optimizing PPC campaigns across Google Ads, whether in an agency or in-house with an experience of 2-3 years minimum (ideally in iGaming, Gambling, Sport Betting or e-commerce)
• Leveraging data and analytics to fine-tune campaigns, ensuring efficient performance and growth
• Keeping up with the latest trends in Search & YouTube marketing, applying new strategies to stay ahead of the curve
• Maximizing the impact of Smart Bidding campaigns by understanding Google’s best practices and optimization techniques
• Creating reports and analyses to track key business KPIs, identifying areas for improvement and action
• Running A/B tests (ad copy, bidding strategies, etc.) and making data-driven decisions based on results
• Proactively researching new growth opportunities for Google Search, bringing fresh ideas to the table
• Understanding conversion funnels and having a solid grasp of Google Ads (experience with UAC, Looker Studio, Optimizely, Google Analytics, or Tableau is a plus!)
• Thriving in a collaborative yet independent environment—comfortable working in a small team while contributing to a large-scale organization
• Being open to business travel, embracing new challenges and opportunities along the way
• Communicating confidently in English (both written and spoken)

If you’re data-driven, proactive, and excited about making an impact, we’d love to hear from you!

Bonus points if you: 

• You have experience in the iGaming industry or are a sports enthusiast who understands the market
• You’ve managed Google Ads performance campaigns for large clients, driving measurable results
• You hold a Google Ads and/or Google Analytics certification, showing your expertise in the field
• Have a strong knowledge of Excels formulas and analytics tools

What you'll be doing? 

• Create, analyze and optimize Google Ads Performance marketing campaigns (mainly Paid Search and Youtube) for Brazil market and opportunity on other upcoming markets to meet business objectives
• You will be part of a multicultural team (based in Brazil, Romania, Poland, UK, Ireland, Belgium, Croatia, Serbia) that has an excellent knowledge of Paid Channels, Martech tools, Gambling&Sports industry in different markets that enjoys and appreciate knowledge sharing
• Identify opportunities for customer acquisition growth Identifying SEM targets for growth of visibility, traffic, acquisition and efficiency
• Conduct thorough research and analysis on our competitors, including their strategies, market positioning, product offerings, and customer feedback. Identify strengths, weaknesses, opportunities, and threats to help us refine our own business strategies.
• Monitor Google Ads budget & performance for evaluating, proposing and implementing most suitable optimization to meet business marketing objectives
• Ensure best practices are adhered to with regards to Search account structure, campaign setup and optimization, while leveraging all best practices to maximize performance from YouTube campaigns
• Working closely with other departments to brief opportunities, promos and landing page setup to fit with PPC and business goals 
• Working closely with other acquisition channels / internal teams, ensuring knowledge share in order to achieve business objectives
• Have access to multiple learning resources and opportunities such as: dedicated workshops, attending local and global conferences, having an LCS support from Google, attend courses, having access to e-learning platforms, travel for business purposes

As Senior Counsel, you will serve as a legal architect and strategic advisor for Super Group. Reporting directly to Deputy General Counsel, you will move beyond traditional "legal review" to become a proactive partner in project execution  on high-priority matters. You will navigate complex regulatory landscapes—particularly as co-lead for M&A transactions, financing deals, and commercial contract negotiations end-to-end  —to ensure that project milestones are met with minimized risk and maximized commercial agility. You will act as primary legal contact for internal business units and external counterparts and Manage and coordinate external counsel where required. 

What you will be doing : 

• M&A: lead due diligence, SPA / SHA drafting, regulatory filings, and closing mechanics
• Financing: structure and negotiate debt, equity, and hybrid instruments; liaise with banks and investors
• Commercial: draft and negotiate NDAs, services agreements, supply contracts, JV agreements, term sheets
• Monitor changes in applicable law and flag material risks proactively
  
  

We are looking for someone who :

• Has a Law degree; master's degree is a plus
• Is admitted to practice in at least one EU jurisdiction or holds equivalent standing
• Has 7–10 years of post-qualification experience in corporate, M&A, or banking & finance
• Has prior experience in a top-tier law firm and/or in-house role strongly preferred
• Is Fluent in English (working language); Romanian is an advantage
• Has some technical skills (nice to have): knowledge of tax law, experience with AI tools
• Is able to work autonomously under pressure
• Has commercial mindset — solutions-oriented
• Is reliable, discreet, high professional standards
• Is able to manage multiple workstreams simultaneously

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.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

Forensic Team Lead

The Mission

We are not looking for someone who simply monitors dashboards or waits for alerts.

We are looking for a highly experienced Forensics Team Lead who has a proven track record of identifying and investigating sophisticated cyber threats in real-world environments. In this role, you will lead a specialized forensics function, operating at the core of our cloud-native infrastructure to proactively detect, investigate, and neutralize advanced adversaries.

You will go beyond tools and predefined alerts—leveraging raw data, custom analysis, and forward-thinking strategies to stay ahead of attackers.

What You’ll Do

• Lead & Build:
  Establish and lead the digital forensics function. Build and mentor a high-performing team of investigators, setting standards for excellence and rigor.

• Proactive Threat Hunting:
  Conduct advanced threat hunting activities across cloud environments to detect sophisticated attacks, including APTs and stealth intrusions.

• Retrospective Analysis:
  Perform deep historical investigations for newly discovered vulnerabilities, validating whether they were previously exploited and assessing potential impact.

• Data-Driven Investigations:
  Analyze diverse data sources such as VPC flow logs, audit trails, and system artifacts. Adapt to new data formats and scenarios without relying solely on vendor tooling.

• Incident Response Leadership:
  Lead forensic investigations during active security incidents, transforming complex data into clear insights and actionable response plans.

• Automation & Innovation:
  Develop and leverage automation (e.g., Python, AI-driven tooling) to streamline forensic workflows and enhance investigative capabilities.

Your Profile (Must-Have Qualifications)

• Extensive Forensics Experience:
  5+ years in digital forensics, incident response, or threat hunting, with a demonstrated ability to uncover and investigate complex security incidents.

• Cloud Security Expertise:
  Strong experience investigating security events in cloud environments, including working with audit logs, identity systems, and infrastructure telemetry.

• Technical & Coding Skills:
  Proficiency in scripting or programming (e.g., Python) to build custom tools, automate analysis, and handle non-standard data formats.

• Analytical Mindset:
  Ability to think critically and approach problems from an attacker’s perspective, identifying hidden patterns and potential attack paths.

• Deep Investigation Approach:
  Treat vulnerabilities as potential incidents—conducting thorough historical analysis to confirm whether exploitation has occurred.

• Leadership Under Pressure:
  Proven ability to lead teams during high-pressure situations, maintaining clarity, focus, and effective decision-making.

What Makes You Stand Out

• You approach every situation with a “assume compromise until proven otherwise” mindset

• You rely on evidence and verifiable insights, not assumptions

• You are skilled in timeline reconstruction and root cause analysis

• You remain calm and decisive during critical incidents

• You combine technical depth with investigative intuition

Why Join Us

You will play a critical role in shaping and leading a next-generation forensics capability, working on complex, high-impact security challenges in a fast-paced, cloud-first environment. This is an opportunity to build, lead, and make a tangible impact on the organization’s security posture.

We are looking for a senior SEO to come and take ownership of our link acquisition strategy across all brands. Reporting to the Head of SEO, you will have the resources and support you need to accelerate our growth in some of the world’s most competitive markets.

This is not an ordinary link building role, the right candidate will have a clear sense of ROI, understand the needs of unique markets and have a clear vision of how to improve visibility in both traditional search while looking towards an increasingly AI dominated future.

What you'll be doing:

• Own and deliver Superbet’s link acquisition strategy across all brands and markets, focusing on sustainable, high quality growth.
• Manage and optimise a six figure link budget, ensuring spend is efficient and aligned to performance targets.
• Drive measurable outcomes, linking activity to uplift in rankings, organic traffic, and revenue (where measurable) with clear reporting that connects spend to impact.
• Monitor, orchestrate, and respond to brand mentions across the web: coordinate light-touch outreach, relationship building, and follow-ups to convert coverage into value.
• Work with in-house PR and brand teams to identify opportunities and negotiate earned placements and coverage aligned to brand and SEO goals.
• Own link reclamation and cleanup: identify and recover lost links, fix broken linked pages, and convert unlinked brand mentions into credited mentions/links where appropriate.
• Lead competitor backlink and earned visibility analysis to identify gaps, replicable wins, and market-specific opportunities; translate insights into a prioritised execution plan.
• Build AI/LLM search visibility and brand preference signals by growing credible third-party coverage, strengthening entity/brand signals, and working with owned domains, affiliates, and partners to develop high-quality comparison and informational content that supports AI-assisted discovery.
• Influence and educate stakeholders across the business on the commercial value of authority building and backlinks using clear, non-technical communication and evidence.

What we are looking for:

• Experience: 5+ years of experience in SEO, with at least 3 years specifically focused on high-scale link acquisition, Digital PR, or Authority Building.
• Budget Management: Proven experience managing substantial budgets with a track record of delivering measurable ROI.
• Technical Toolset: Mastery of SEO and backlink analysis tools such as Ahrefs, Semrush, Majestic, and Moz. Proficiency in Google Search Console and Google Analytics (GA4) for performance tracking is essential.
• Strategic Communication: Ability to translate complex SEO concepts into "business speak" for stakeholders and brand partners. You should be as comfortable in a spreadsheet as you are in a creative brainstorming session.
• Analytical Skills: Strong data literacy; you should be able to run "test and learn" experiments, document results, and use data to pivot strategies in real-time.
• Future-Ready: A deep understanding of how search is evolving, including the impact of AI/LLMs on brand visibility and the importance of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness)

We are looking for a senior SEO to come and take ownership of our link acquisition strategy across all brands. Reporting to the Head of SEO, you will have the resources and support you need to accelerate our growth in some of the world’s most competitive markets.

This is not an ordinary link building role, the right candidate will have a clear sense of ROI, understand the needs of unique markets and have a clear vision of how to improve visibility in both traditional search while looking towards an increasingly AI dominated future.

What you'll be doing:

• Own and deliver Superbet’s link acquisition strategy across all brands and markets, focusing on sustainable, high quality growth.
• Manage and optimise a six figure link budget, ensuring spend is efficient and aligned to performance targets.
• Drive measurable outcomes, linking activity to uplift in rankings, organic traffic, and revenue (where measurable) with clear reporting that connects spend to impact.
• Monitor, orchestrate, and respond to brand mentions across the web: coordinate light-touch outreach, relationship building, and follow-ups to convert coverage into value.
• Work with in-house PR and brand teams to identify opportunities and negotiate earned placements and coverage aligned to brand and SEO goals.
• Own link reclamation and cleanup: identify and recover lost links, fix broken linked pages, and convert unlinked brand mentions into credited mentions/links where appropriate.
• Lead competitor backlink and earned visibility analysis to identify gaps, replicable wins, and market-specific opportunities; translate insights into a prioritised execution plan.
• Build AI/LLM search visibility and brand preference signals by growing credible third-party coverage, strengthening entity/brand signals, and working with owned domains, affiliates, and partners to develop high-quality comparison and informational content that supports AI-assisted discovery.
• Influence and educate stakeholders across the business on the commercial value of authority building and backlinks using clear, non-technical communication and evidence.

What we are looking for:

• Experience: 5+ years of experience in SEO, with at least 3 years specifically focused on high-scale link acquisition, Digital PR, or Authority Building.
• Budget Management: Proven experience managing substantial budgets with a track record of delivering measurable ROI.
• Technical Toolset: Mastery of SEO and backlink analysis tools such as Ahrefs, Semrush, Majestic, and Moz. Proficiency in Google Search Console and Google Analytics (GA4) for performance tracking is essential.
• Strategic Communication: Ability to translate complex SEO concepts into "business speak" for stakeholders and brand partners. You should be as comfortable in a spreadsheet as you are in a creative brainstorming session.
• Analytical Skills: Strong data literacy; you should be able to run "test and learn" experiments, document results, and use data to pivot strategies in real-time.
• Future-Ready: A deep understanding of how search is evolving, including the impact of AI/LLMs on brand visibility and the importance of E-E-A-T (Experience, Expertise, Authoritativeness, and Trustworthiness)

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.

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.

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.

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

We are looking for a Finance Business Partner (G&A) to act as a strategic advisor to senior stakeholders. In this role, you will support decision-making through high-quality financial insights, planning, and performance analysis.

As a 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)
• 2+ 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 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)
• 2+ 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 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)
• 2+ 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

Primary purpose

The Engineering Manager for the AI & Automation Squad is accountable for building and leading an engineering team that delivers scalable, secure, and business-driven AI and automation solutions across enterprise business applications.

Key responsibilities

• Lead and grow the AI & Automation engineering squad within the Business Applications Tribe.
• Own engineering delivery, technical quality, reliability, and operational excellence for AI and automation solutions.
• Establish modern engineering practices aligned with Enterprise Engineering, including a product mindset, DevOps, and platform thinking.
• Partner closely with Product Management, Business Application Leads, Architecture, Security, and Data teams.
• Drive adoption of AI, automation, and low-code platforms to improve efficiency and decision-making across the organization.
• Ensure solutions are scalable, compliant, and reusable across Finance, HR, and other business domains.

What you will do

• Build, coach, and performance-manage engineers, including AI engineers, automation engineers, and low-code developers.
• Define the squad mission, roadmap, and technical priorities in alignment with tribe and enterprise strategy.
• Oversee the design and delivery of:
  • AI-powered assistants and copilots
  • Process automation, including workflow automation, RPA, and orchestration
  • Intelligent integrations across Google, Microsoft Dynamics 365, Power Platform, and other enterprise systems
• Establish and enforce engineering standards for coding, testing, security, monitoring, and CI/CD.
• Embed responsible AI practices, data governance, and compliance into solution design and delivery.
• Manage dependencies, risks, and technical debt.
• Act as the escalation point for delivery, quality, and operational issues.
• Support hiring, onboarding, and capability development as the squad grows.

Success measures (KPIs)

• Delivery predictability, including on-time and on-scope delivery of squad commitments.
• Engineering quality, including reliability, defect rates, and maintainability.
• Platform scalability and reuse, including shared components and automation reuse rate.
• Team health and engagement.
• Compliance and security adherence, including audit findings and policy violations.
• Experience managing a team of 3 engineers, with plans to scale through hiring.
• Experience building automations and AI agents in enterprise contexts.

Experience 

• 5+ years of experience in software or platform engineering roles.
• 2+ years of people leadership experience.
• Strong experience with enterprise business applications, preferably including:
  • Microsoft Dynamics 365, including Finance, HR, CE, or Business Central
  • Low-code platforms such as Power Platform, including Power Automate, Power Apps, and Copilot Studio
  • Google AppSheet
  • n8n
  • UiPath
• Hands-on understanding of automation patterns, including workflow automation, RPA, and event-driven automation.
• Working knowledge of AI and ML concepts and applied AI in enterprise contexts.
• Experience operating in product-centric or platform teams.
• Solid grasp of cloud platforms, preferably Azure or AWS.
• Strong understanding of DevOps practices and CI/CD pipelines.
• Experience with API-based integrations and enterprise architecture principles.
• Experience working in regulated environments with security, privacy, and compliance requirements.

Soft skills

• Strong people leader with a coaching and growth mindset.
• Excellent communication skills across technical and non-technical audiences.
• Business-oriented thinking with the ability to connect engineering outcomes to business value.
• Comfortable navigating ambiguity and driving change in transformation environments.
• Collaborative and pragmatic problem-solver.
• Ability to influence without authority across tribes and functions.
• High ownership, accountability, and a bias for action.

• Experience in process analysis and improvement within customer support, operations, or customer experience.
• Familiarity with support platforms (e.g., Zendesk) and confidence in making basic workflow or automation configurations inside these tools.
• Hands-on experience participating in the implementation of AI-driven solutions (e.g., copilots) to enhance customer service or operational efficiency.
• Ability to identify efficiency opportunities—from diagnosing issues to guiding implementation of enhancements.
• Knowledge of customer service metrics and analytics (CSAT, First Response Time) to build data-driven business cases for automation and AI.
• Strong collaboration skills to work across departments such as Support, Product, and Technology.
• Excellent communication, organizational, and analytical abilities.
• Advanced English, comfortable working with international teams.

What you'll be doing

• Own end-to-end delivery of P&C projects (strategy, design, execution, adoption).
• Partner with senior stakeholders across People & Culture and other functions to define scope, objectives, and success measures.
• Oversee project management methodology for the People Team, ensuring consistency, simplicity, and business relevance.
• Work closely with the People Tech & Data team to select, implement, and embed a project management tool that supports cross-team collaboration.
• Apply agile planning approaches and adapt delivery to the realities of a fast-paced, scaling business.
• Lead and motivate project teams, setting clear priorities and ensuring accountability.
• Manage budgets, timelines, dependencies, and risks with proactive mitigation.
• Prepare and deliver project updates for Exec-level and senior leadership forums.
• Mentor and coach junior project team members and analysts.

What we are looking for

• 5–8+ years’ experience in project/program management, with proven delivery in People-related projects (e.g., HR transformation, rewards, culture, operating model) or other global functional projects.
• Strong knowledge of project management methodologies, including agile and hybrid approaches.
• Demonstrated ability to oversee project management frameworks and tools at function level.
• Proven experience working with senior/Exec stakeholders in complex global organisations.
• Excellent influencing, facilitation, and communication skills.
• PMP/Prince2 or Agile certification preferred.

We are looking for a motivated and detail-oriented CRM Executive to join our team. In this role, you will support the day-to-day activities of our customer relationship management (CRM) operations. As a CRM Executive, you will manage the day-to-day operations of our customer relationship management (CRM) system. You will assist in maintaining data accuracy, executing CRM campaigns, and collaborating with the team to enhance customer experience, while building your expertise in CRM tools and processes. You will work closely with cross-functional teams to assess our CRM requirements and continuously optimize our processes to enhance customer satisfaction.

We are looking for someone who:

• Is fluent in English with confidence in oral, written and reading communication.
• Proves good organizational skills and the ability to manage multiple tasks and meet deadlines.
• Has strong attention to detail, with a willingness to learn how to manage and maintain data accurately. 
• Proves good communication and interpersonal skills, with an openness to collaborate across teams.
• Has a proactive attitude and eagerness to learn, with the ability to work both independently and within a team.
• Has the ability to adapt to changing requirements and work in a fast-paced, dynamic environment.
• Is familiar with CRM systems is a plus, but not required — we’ll teach you what you need to know!

What you'll be doing:

• Manage the day-to-day operational activities in the CRM calendar based on stakeholders’ proposals.
• Ensure the execution and deliverability of emails, push notifications, inbox messages and SMS.
• Collaborate with CRM managers to define and document CRM processes, workflows, and standard operating procedures.
• Monitor and escalate any technical issues or system errors encountered in daily activities, serving as the main point of contact for CRM-related inquiries and support.
• Assist and follow up with the Customer Support team on any issues that may arise.
• Collaborate with cross-functional teams to identify and document business requirements and translate them into CRM functionalities.
• Contribute to improving bonus and CRM tools.
• Ensure bonus and campaign mechanics testing.