Benefits:

• Prodege offers a comprehensive benefits package to US Full-time employees including medical, dental, vision, STD, LTD and basic life insurance.

• Employees receive flexible PTO, as well as paid sick leave prorated based on hire date.

• US Employees have eight paid holidays throughout the calendar year.

• Employees receive an option to purchase shares of Company stock commensurate with their position, which vests over four years

Education Requirements:

• Bachelor's degree ina relevant field such as Computer Science, Data Science, Engineering, Business, or Finance is highly preferred

Experience Requirements:

• Five or more (5+) years in product management, with at least three (3) years focused on risk, fraud detection, or related areas

• Advanced skills leveraging data and analytics to make informed product decisions, identifying trends, and measuring success

• Deep technical know-how in anti-fraud, including experience with advanced machine learning, and cybersecurity principles

• Proficiency in SQL, Python, or other programming languages and tools for data analysis

• Strong analytical abilities with a passion for data-informed decision making

Other Requirements:

• Ability to thrive in an evolving and dynamic environment, with a proactive and flexible mindset

• In-depth knowledge of fraud detection methodologies, signals, and anti-fraud technologies

• Strong understanding of current fraud trends, threats, and emerging technologies in the fraud intelligence space

• Knowledge of regulatory requirements and industry standards related to fraud prevention and data privacy (e.g., GDPR, CCPA)

• Demonstrated ability to lead cross-functional teams and drive product strategies in a fast-paced environment

Responsibilities:

• Develop and lead the strategic vision for risk intelligence and anti-fraud measures, ensuring alignment with the company's overall goals

• Analyze and identify fraud signals and related risks across Prodege’s consumer product portfolio and develop a roadmap of new features which are needed to improve our models

• Utilize advanced analytics and insights to shape product decisions and demonstrate the effectiveness of anti-fraud initiatives

• Generate reports and insights based on ad hoc data analysis to evaluate fraud program strategies

• Continuously monitor market trends and emerging threats in fraud, staying ahead of potential risks

Benefits:

• Generous equity

Benefits:

• Generous equity

Education Requirements:

• Bachelor’s degree in Maritime Studies, Data analysis, or any other related field

Experience Requirements:

• 5-10 years of experience in maritime data management

Other Requirements:

• In-depth knowledge of the global shipping industry, including ownership structures and maritime regulations

• Ability to work with external data sources and streamline data from various inputs

• Strong analytical skills with proficiency in data management tools (e.g., SQL, Python, Excel) and quality assurance processes

• Experience in data selling and/or data acquisition processes (e.g. data catalogues, data samples, API requirement etc)

• Ability to work in a fast paced environment, involving sensitive data needing immediate attention

Responsibilities:

• Ensure accuracy and consistency in ship ownership and shipping company data

• Track changes in ownership, addresses, and registrations, including changes occurring as a result of new Sanctions, and ensure records are updated in a timely manner

• Track and maintain high quality data across our datasets, and implement processes to ensure data quality improvement where needed

• Assist customer support team with complex Ownership queries and investigations

• Provide guidelines and training to members of our remote Editorial Team on data collection processes, and data investigations

Benefits:

• Commuter Benefits

• Meaningful equity

• Unlimited Vacation

• Great Health Insurance

• Remote Work Flexibility

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Master's degree in STEM or Bachelor's degree in STEM with certified online courses in machine learning

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math, data science, and programming

• Knowledge of instructional design best practices

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Master's degree in STEM or Bachelor's degree in STEM with certified online courses in machine learning

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math, data science, and programming

• Knowledge of instructional design best practices

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive compensation package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Graduate degree (Master's or PhD) in STEM or equivalent industry experience

• PhD in Math, Data Science, Computer Science, or related field (preferred)

Experience Requirements:

• Experience designing and/or teaching technical courses online or offline

• Industry experience as a data scientist, machine learning engineer, or similar (preferred)

Other Requirements:

• Technical background in math and programming

• Excellent communication skills

• Team player

Responsibilities:

• Convert SME's vision into effective learning content

• Review and provide feedback on technical content

• Ensure high content quality and good pedagogy

Benefits:

• Competitive salary ($130,000 - $160,000)

• Comprehensive benefits package

• Monthly education stipend

• Flexible PTO

Education Requirements:

• Graduate degree (Master's or PhD) in Computer Science, Artificial Intelligence, Data Science, or related STEM area, or equivalent industry experience

Experience Requirements:

• In-depth knowledge of instructional design best practices

• Experience designing, structuring, and teaching technical courses

Other Requirements:

• Technical background in math and programming

• Excellent communication and team player skills

• Familiarity with prompting and GenAI tools

Responsibilities:

• Co-create AI/ML courses

• Guide SMEs through course creation process

• Ensure high content quality

• Develop independent perspective on course material

Experience Requirements:

• 8+ years experience in product management on Apple platforms

• Deep understanding of Apple's ecosystem and productivity tools

• Strong business acumen and strategic thinking skills

• Proven track record of driving product success and revenue growth

• Excellent communication and relationship-building abilitiesMBA preferred

Responsibilities:

• Own the business strategy, prioritization, and product roadmap for Goodnotes on all Apple platforms

• Manage and nurture partnerships with Apple, acting as a key liaison

• Drive business metrics including downloads, retention, and renewals

• Oversee product strategies and product development to address user needs and capture market opportunities

• Lead a team of skilled professionals, across engineering and designCollaborate closely with non-product functions, such as marketing, customer support, and executive leadership

Benefits:

• Open Paid Time Off

• Paid parental leave

• Professional development

• Wellness and technology stipends

• Generous employee referral bonus

Experience Requirements:

• 5+ years of experience in analytics or business intelligence

• 2+ years of experience in product management

Other Requirements:

• Healthcare domain experience

• Excellent communication skills

• Proficiency in SQL

Responsibilities:

• Deeply understand the business problems of our external and internal users

• Manage the definition and development of a broad scope of analytics products

• Refine requirements and enable other developers to execute efficiently

Benefits:

• Open Paid Time Off

• Paid parental leave

• Professional development

• Wellness and technology stipends

• Generous employee referral bonus

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Experience Requirements:

• 3+ years demonstrable experience building and shipping technology products and managing it through the entire life cycle

• strong fundamentals in product, UX, business thinking

• strong analytical skills and ability to work in a hypothesis and experiment driven environment

• comfortable with uncertainty as well as evolving requirements as we learn more about market needs

• ability to be creative in a fast-paced environment

Other Requirements:

• excellent communication skills to make complex topics accessible

• well acquainted with machine learning, NLP, speech recognition technologies

• fluent in written and oral English

Responsibilities:

• do market research, get insights from current, potential customers and internal stakeholders for defining new solutions

• build the product strategy and roadmap

• prioritizing features and experiments

• coordinate execution of new solutions with the development team

• collaborate regularly with Sales team, Customer Success team and internal stakeholders

Benefits:

• Market-conform salary

• Fast-growing and innovative work environment

• Driven team and no-nonsense culture

• Friendly and inclusive atmosphere

Education Requirements:

• Bachelor or Master's degree in relevant field (BIM, Technische Bedrijfskunde, etc.)

Other Requirements:

• 16-24 hours per week available

• Entrepreneurial and proactive attitude

• Experience with Python

• Passion for software and data

Responsibilities:

• Support the Product team with operational tasks

• Conduct market research

• Analyze user feedback

• Maintain product documentation

• Improve processes

Benefits:

• Career Growth

• Remote-First

• Unlimited PTO

• Health benefits (medical, dental, vision)

• Paid family leave

Education Requirements:

• Bachelor’s Degree in Engineering, Business, Design, Psychology, or equivalent

Experience Requirements:

• 1 year of product management experience in SaaS with a proven track record

• Ability to apply user insights, data, and statistical analyses to inform decisions

• Demonstrated ability to be resourceful, curious, and innovative

• Experience leading projects and teams

Responsibilities:

• Work with executive leadership to drive product strategy for a critical team in the Growth Area

• Perform qualitative and quantitative research to explore and validate features leveraging mix-pannel and other analytics tools

• Work closely with design and front-end team

• Work with engineers to help guide feature development

• Perform experiment analysis on features and find opportunities for optimization

Benefits:

• Competitive salary and benefits package

• Opportunity to work with cutting-edge AI and Deep Learning technologies

• Professional development and growth opportunities

• Collaborative and innovative work environment

Experience Requirements:

• 5+ years of experience, preferably in SAAS enterprise product delivery to large enterprises

• Strong project management skills with a track record of successful enterprise project delivery

• Excellent customer-facing and communication skills

• Basic technical ability to create demos and understand various components of enterprise deliverables

• Experience in coordinating with cross-functional teams and stakeholders

Other Requirements:

• Strong problem-solving and analytical skills

• Ability to work independently and as part of a team

• Excellent time management and organizational skills

• Adaptability to changing priorities and deadlines

• Passion for technology and innovation

Responsibilities:

• Manage marquee customer deliverables, maintaining exceptional relationships and going above and beyond to delight clients

• Coordinate with various teams and technical stakeholders to ensure timely execution of all deliverables

• Demonstrate strong project management capabilities to meet enterprise customer deadlines

• Engage in customer-facing conversations, showcasing excellent communication skills

• Develop a deep understanding of our products and the technical components

Education Requirements:

• Active student status in Hungary

Experience Requirements:

• Willingness to learn agile processes and methods

• Willingness to learn software quality assurance

• Knowledge and/or strong interest in software QA methodologies, tools and processes

• Willingness to learn to create clear, concise and comprehensive test plans and test cases

• Basic knowledge of object-oriented programming languages, and script languages preferably Java, Javascript, and Typescript

Other Requirements:

• Experience with performance and/or security testing is an advantage

• Good written and verbal communication skills in English

• User-focused mindset and willingness to learn User acceptance testing

Responsibilities:

• With the help of a Senior QA Specialist, you will focus on the overall impact on the product from a customer perspective introduced by new features, enhancements, bug fixes, infrastructure changes, etc

• Creating and running automated test cases for the Application. Make the documentation in X Ray

• As a part of the QA team, participating in all meetings according to the importance

• Creating test cases and test scenarios for manual testing

• Learning and progressing in manual, automation and UAT testing, and being able to write and maintain auto-test scenarios for cross-functional teams