Paradise Fruits | By Jahncke

Content Writer

• Research and create an outline and an optimization sheet if needed for a given keyword
• Research and write high-quality content based on business needs
• All content must meet and adhere to the strict industry laws and guidelines
• Optimizing content for SEO to improve search engine rankings and increase organic traffic
• Edit content if needed
• Ensure all content meets legal, advertising, and responsible gaming guidelines across relevant GEOs
• Assisting in creating marketing materials, press releases, and other promotional content as needed
• Proofread content to ensure accuracy, clarity, and adherence to laws, guidelines, and partner requirements
• Ensure content passes plagiarism detection and AI detection software
• Keeping up-to-date with industry trends, developments, and regulatory changes to provide relevant and timely content
• Adhere to the provided task time averages and meet the established KPIs
• Refer to the given priority flags and prioritize work accordingly
• Stay up to date and follow with the company content production process and systems
• Give prior notice of a minimum one to maximum two weeks before the leave date for any time off that is longer than 2 days so the work can be reassigned timely and accordingly
• Communicate clearly and timely with the respective team members
• Contribute to brainstorming sessions and strategic discussions to identify content growth and improvement opportunities
• Perform any additional tasks or roles as needed by the department
• Commit to a minimum of 30 hours but not more than 40 hours per week given the company is able to provide consistent workload
• Train Jr Writers if needed

Senior Content Writer, iGaming

Content Marketing Manager

• Build and lead the global content strategy across all iGaming verticals, ensuring every piece supports SEO, conversion, and brand growth
• Define and enforce editorial standards, tone of voice, and compliance guidelines across all Lanes and GEOs
• Collaborate with SEO, Product, and BI teams to align content creation with performance goals and data insights
• Oversee Managing Editors and Senior Editors to ensure consistent output quality, delivery cadence, and strategic alignment
• Develop and refine content playbooks and documentation for each squad to improve efficiency and accountability
• Mentor content leads, writers, and editors across multiple time zones to foster a culture of quality and experimentation
• Oversee AI-assisted and manual content production workflows, ensuring compliance and fact-check integrity
• Collaborate with Tech and BI teams to evolve automation tools, dashboards, and real-time content performance tracking
• Lead quarterly audits to identify decaying content and opportunities for optimization and refresh
• Represent the content division in executive strategy discussions and growth planning

Head of Content

SEO Marketing

• Undergoing keyword research, content gap analysis and competitor reviews, so to determine opportunities for driving traffic to our domains
• Auditing pages with a view to maximizing their performance for both on-page optimization and internal linking
• Fixing broken links, updating content and supporting the Editorial and Production teams with best practices - ensuring that our pages are optimized and best in class, and minimizing mistakes
• Updating tasks as they are completed on our team project management platform, helping the management and leadership teams to see the progress and subsequent improvements coming from their efforts

SEO Specialist

• Management of the team’s project management platform, updating tasks, sprints and projects to reflect progress, and organizing feedback where additional support is needed.
• Creating SOPs and training for projects, enabling SEO executives to be able to create work that supports the business and meets our best in class expectations regarding quality.
• Weekly Monday Checks reporting and creating work items to solve any issues which arise as part of changes in the SERPs or through changes made on our websites.
• Updating and maintaining each website's domain index, ensuring it a dependable insight into what pages are live, being written and in need of maintenance.
• This role is the main point of contact for other teams and team members for the assigned projects, handling calls and meetings, and responding to questions from other team members.
• Producing a monthly report which lists all of the work undergone by the team, as well as outlining how we performed during the month and any pertinent points related to our performance.
• Creating targets for the offsite team so they can support with building both money and supporting page links.
• Working with the offsite team to develop link magnet pages/resources.

SEO Analyst

• Build and run off-page strategies that move rankings fast across multiple iGaming domains.
• Hunt for high-value domains, backlinks, and authority opportunities using tools like Ahrefs and Screaming Frog.
• Use large budgets to acquire domains, links, and other exciting SEO assets.
• Manage and optimize relationships with top-tier link vendors and publishers.
• Track link velocity, DR/RD growth, and performance through real-time dashboards.
• Coordinate with SEO, content, and tech teams to keep authority flowing smoothly.
• Experiment relentlessly — we test, learn, and scale faster than anyone else.
• Mentor off-page specialists and refine our playbooks as we grow.
• Report wins and insights clearly, backed by data and measurable impact.

Off-Page SEO Manager

• Build and run off-page strategies that move rankings fast across multiple iGaming domains
• Hunt for high-value domains, backlinks, and authority opportunities using tools like Ahrefs and Screaming Frog
• Use large budgets to acquire domains, links, and other exciting SEO assets
• Manage and optimize relationships with top-tier link vendors and publishers
• Track link velocity, DR/RD growth, and performance through real-time dashboards
• Coordinate with SEO, content, and tech teams to keep authority flowing smoothly
• Experiment relentlessly — we test, learn, and scale faster than anyone else
• Mentor off-page specialists and refine our playbooks as we grow
• Report wins and insights clearly, backed by data and measurable impact.

Machine Learning Engineer

• As part of the Data and BI Team and reporting to the Lead Data Scientist, the chosen candidate will be responsible for developing, deploying, and maintaining machine learning solutions that support business objectives. Roles & Responsibilities: Design, train, and deploy machine learning models for predictive analytics and optimization. Perform data exploration, cleaning, and feature engineering to prepare datasets for modeling. Collaborate with data scientists, analysts, and engineers to design end-to-end ML workflows. Conduct statistical analysis, hypothesis testing, and model evaluation to ensure robustness and accuracy. Implement best practices for ML lifecycle management, including monitoring, retraining, and performance optimization. Research and prototype advanced machine learning techniques to improve model effectiveness.

Data Engineer

• Form part of the Data and BI Team, reporting to the Head of BI and following guidance of the Lead Data Engineer
• Design, build and enhance both new and existing data architectures
• Contribute to technical data architecture discussions with the team
• Contribute to R&D tasks within the team when required
• Assist in stakeholder meetings and requirements gathering
• Assist in daily data operations and maintenance tasks
• Monitor the data loading process chain for the Data Estate
• Perform adhoc data analysis to support business needs
• Support the tracking team and their platforms, including in its operations

Backend Engineer

• Report to the Lead Data Engineer and work closely with data developers and engineers within the data team
• Focus on Python/PySpark development for ETL processes and data transformation
• Leverage SQL to query the lakehouse and support analytics
• Use GitHub for version control and collaborative coding
• Design, build, and manage data pipelines, orchestrations, and other internal services in cloud platforms (GCP, Azure, AWS)
• Build, optimize, and manage scalable pipelines in cloud environments
• Support analytics teams by delivering reliable and well-structured data
• Collaborate with team members to ensure smooth integration and delivery of data services

Python Developer

• The Python Developer will report to the Lead Data Engineer and work closely with data developers and engineers within the data team.
• The core focus of the role will be on Python/PySpark development for ETL processes, leveraging SQL to query the lakehouse and support analytics.
• The role also involves using GitHub for version control, and working with cloud platforms such as GCP, Azure, and AWS to design, build, and manage data pipelines, orchestrations, and other internal services.
• Roles & Responsibilities:
• Develop and maintain data engineering solutions focused on ETL and data transformation.
• Build, optimize, and manage scalable pipelines in cloud environments.
• Support analytics teams by delivering reliable and well-structured data.
• Collaborate with team members to ensure smooth integration and delivery of data services.

Administration

• The Office Administrator is responsible for creating and maintaining a clean, organized, and welcoming office environment that supports productivity and collaboration. This role manages facilities and supplies, and ensures smooth administrative processes. As a key partner to the HR department, the Office Administrator assists with onboarding, team events, HR-related tasks, and supports the management of HR systems.
• Roles & Responsibilities:
• Greet and assist visitors, and direct inquiries to the appropriate person or department.
• Maintain a clean, organized, and welcoming office environment that reflects the company’s values and culture.
• Coordinate and execute internal events, including wellness programs, team celebrations, and cultural activities.
• Manage relationships with building management, vendors, and service providers for office and facility needs.
• Track and restock office supplies, snacks, and beverages within approved budgets.
• Provide comprehensive administrative support to the Finance team, including the secure delivery of documents to financial institutions and execution of other clerical and operational tasks as required.
• Assist HR with onboarding logistics for new hires, including workspace setup, and introductions to office resources.
• Schedule and coordinate meetings, prepare meeting spaces, and ensure required materials are available.
• Maintain organized filing systems both physical and digital in line with company policies.
• Identify and recommend process improvements to increase efficiency and enhance the employee experience.
• Perform additional tasks as needed to support office operations and company objectives.

Office Administrator

• As part of the Data and BI Team and reporting to the Lead Data Scientist, the chosen candidate will be responsible for developing, deploying, and maintaining machine learning solutions that support business objectives. This role is ideal for candidates with a strong background in data science, statistics, and applied machine learning, who are passionate about building scalable ML systems and driving data-informed decision-making.
• Roles & Responsibilities: Design, train, and deploy machine learning models for predictive analytics and optimization. Perform data exploration, cleaning, and feature engineering to prepare datasets for modeling. Collaborate with data scientists, analysts, and engineers to design end-to-end ML workflows. Conduct statistical analysis, hypothesis testing, and model evaluation to ensure robustness and accuracy. Implement best practices for ML lifecycle management, including monitoring, retraining, and performance optimization. Research and prototype advanced machine learning techniques to improve model effectiveness.