Pearl (JustAnswer)

About the Role 

As an Analyst, People Operations, you’ll turn raw HR data into real business impact, shape predictive insights for leaders, and help architect the future of workforce intelligence at our company. 

What you'll do 

• Build predictive models for workforce planning, retention, hiring, and compensation—shifting us from reporting to proactive, forward-looking insights. 
• Integrate data from different data hubs (HRIS, ATS etc.) to create real-time dashboards in Power BI. 
• Automate and maintain agentic AI across People Ops to accelerate decision-making. 
• Own the accuracy of People Insights dashboards—monitor refresh cycles, troubleshoot issues, and ensure top-quality predictive outputs. 
• Build and enhance Power BI dashboards, SQL queries, and data models to support new programs and analytics needs. 
• Use AI tools (Power BI Copilot, AutoML, ChatGPT) to streamline data prep, generate insights, and scale predictive analytics. 
• Partner with stakeholders to gather requirements and continually evolve metrics, dashboards, and AI-driven features. 

What we’re looking for 

• 1,5+ years of experience in analytics or HR operations.
• Proficiency with analytical tools and systems such as Power BI, SQL (basic), Python (basic) and Excel (including macros).
• Experience with predictive analytics, modeling, or forecasting.
• Experience working with project management tools like Microsoft Project, Asana, or similar platforms.
• Strong stakeholder management skills and experience gathering, clarifying, and prioritizing requirements.
• At least upper-intermediate English level
• Strong attention to detail, analytical thinking, and problem-solving abilities.
  
  Why You’ll Love Working With Us
• Make a Real Impact: Be part of a dynamic team that values inclusivity, creativity, and continuous improvement.
• Empower Communities: Play a key role in fostering meaningful interactions and creating resources that genuinely help users.
• Collaborative Environment: Partner with cross-functional teams who value your expertise and insights.
• Grow Your Skills: Enhance your customer service expertise, develop effective communication techniques, and learn to resolve complex issues while contributing to a high-quality customer experience.
• Remote Flexibility and Work-Life Balance: Enjoy a great work-life balance while working remotely. Collaborate with a global team, and thrive in a culture that prioritizes well-being, personal development, and work-life balance.
   

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Role

As a Bilingual Customer Service Representative, you will serve as the frontline connection to our customers, providing exceptional support and ensuring their needs are met efficiently and professionally. You will be responsible for handling customer interactions in German, resolving issues, and delivering a seamless customer experience. If you are customer-centric, detail-oriented, and passionate about delivering quality service, this role is for you.

What You’ll Do

• Respond to customer inquiries and issues via voice and/or non-voice transactions while demonstrating attentive listening and effective communication.
• Identify and assess customer needs through active listening and questioning, providing timely and accurate resolutions in line with company guidelines.
• Maintain detailed and accurate records of customer interactions, including actions taken and resolutions provided.
• Update and manage customer accounts and profiles to ensure accurate, up-to-date information for efficient service delivery.
• Acquire in-depth knowledge of company products, processes, and policies to provide accurate information and resolve issues effectively.
• Continuously enhance product knowledge and customer service skills through training and learning opportunities.
• Collaborate with team members and other departments to ensure seamless customer experiences and prompt issue resolution.
• Meet or exceed performance metrics, including quality scores, customer satisfaction ratings, and schedule adherence.
   

What We’re Looking For
 

• Ability to work during German business hours.
• C1-C2 level or native proficiency in German; at least B2 English level.
• At least 6 months of professional customer support experience in the German language.
• Strong customer support, multitasking, and communication skills.
• Preferred experience in phone and email-based customer support.
• Fast and accurate typing skills.
• Self-motivation and basic computer knowledge.
• Familiarity with AI tools to automate routine sourcing tasks
• Self-motivation and basic computer knowledge.

Why You’ll Love Working With Us
 

• Make a Real Impact: Be part of a dynamic team that values inclusivity, creativity, and continuous improvement.
• Empower Communities: Play a key role in fostering meaningful interactions and creating resources that genuinely help users.
• Collaborative Environment: Partner with cross-functional teams who value your expertise and insights.
• Grow Your Skills: Enhance your customer service expertise, develop effective communication techniques, and learn to resolve complex issues while contributing to a high-quality customer experience.
• Remote Flexibility and Work-Life Balance: Enjoy a great work-life balance while working remotely. Collaborate with a global team, and thrive in a culture that prioritizes well-being, personal development, and work-life balance.

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Role

As a key member of the finance team within a global e-commerce membership organization, the Payments Analyst provides expertise and analysis in the realm of payments. Responsibilities include staying current with industry trends, regulations, and best practices related to payments. Additionally, this role analyzes payment data to identify opportunities for improvement and optimization. Collaborating with cross-functional teams, the Payments Analyst develops and implements strategies to enhance payment processes, drive revenue growth, and improve the overall customer experience. The Payments Analyst actively engages in strategic discussions to analyze finance and payment needs, offering data-driven recommendations. This role is integral in shaping the organization's payment strategy.

What you'll do

Data Analysis

• Conduct in-depth payment data analysis to identify financial patterns, trends, and improvement opportunities
• Analyze payment data to identify patterns, trends, and opportunities for improvement or optimization
• Provide analysis for optimizing payment acceptance and customer billing practices, reducing fraud, and improving customer retention

Strategy Development

• Contribute to the development and implementation of payment strategies aligned with organizational goals

Risk Management

• Assess and manage risks associated with payment processes, including fraud prevention and compliance with regulations

Cross-Functional Collaboration

• Work collaboratively with cross-functional teams to develop and implement payment strategies aligned with business goals
• Provide training and support to internal teams on payment-related topics to ensure a clear understanding of payment processes and best practices

Industry Knowledge

• Stay informed about industry trends, regulations, and best practices related to payments, including emerging technologies and security measures

Payment Process Optimization

• Identify and implement opportunities to optimize payment processes, enhance customer experience, and drive revenue growth

Performance Monitoring

• Monitor and evaluate the performance of payment systems, identifying areas for optimization and efficiency improvement

Communication

• Provide subject matter expertise on payment processing, fraud prevention, compliance, and risk management
• Actively participate in strategic discussions, analyzing finance and payments needs, and making data-driven recommendations to shape the organization's payments strategy

Vendor and Partner Collaboration

• Collaborate with internal and external partners, such as payment processors and financial institutions, to ensure seamless integration and efficient payment operations

What we’re looking for

• 2–4+ years of experience in a highly analytical consumer, marketplace, fintech, or similar data-driven business
• Proven track record of delivering actionable insights using data
• Strong SQL skills for efficient extraction and analysis of data from complex datasets (must-have)
• Strong visualization skills in PowerBI (preferred), Tableau, Looker, or similar BI tools
• Experience with Python is a plus (willingness to learn is important)
• Familiarity with A/B testing and experimentation (experience with MAB is a plus)
• Detail-oriented and highly organized, with the ability to manage multiple projects and priorities
• Collaborative mindset and ability to work effectively in cross-functional teams
• Nice to have: experience in payments, acquirer/processor/payment gateway environments, or high-risk merchant space
• Nice to have: experience leveraging AI tools to structure analyses, automate workflows, or support anomaly detection

About the Role

As a Senior Full Stack Developer, you will play a pivotal role in designing, developing, and maintaining our web applications, ensuring high performance and scalability. You will work closely with cross-functional teams to deliver high-quality software solutions while contributing to projects that integrate advanced machine learning models, including large language models (LLMs), to deliver personalized user experiences and innovative features. You’ll be part of a small, collaborative team that values continuous improvement and embraces the latest in technology.

Our technology stack includes .NET Core, C#, React.js, Node.js, Typescript, SQL Server 2019, Docker, Kubernetes, Google Analytics, and Power BI.

Our ecosystem includes 170 connected applications and services, our main database is 2 TB, our sites handle 1 million visitors a day and 2 billion requests a month, and we release changes to production several times a day. We are a continuous integration and continuous deployment (CI/CD) organization. 

What You’ll Do:

• Guiding the team in making well-informed technical decisions that enhance the quality and maintainability of our solutions.
• Collaborating with cross-functional teams to demonstrate how they can effectively leverage our infrastructure to meet their objectives.
• Designing, developing, and maintaining robust, scalable, and efficient web applications, backend logic modules and database structure.
• Identifying and implementing strategies to improve the stability, performance, and scalability of our applications and services.
• Responding promptly to production incidents, employing creative problem-solving skills to minimize downtime and mitigate potential issues.
• Mentoring and supporting team members, fostering a culture of continuous learning and technical excellence.
• Conducting code reviews and ensuring adherence to coding standards and best practices across the team.
• Participating in the evaluation and integration of new technologies, including AI and automation tools, to drive innovation and efficiency.

What We’re Looking For:

• Minimum of 5 years of professional experience in full-stack development.
• Extensive experience with React.js, including state management (Redux, Context API) and component-based architecture.
• Proficiency in .NET frameworks, C#, and data access technologies.
• Familiarity with Unit / Integration tests using any of Jest, NUnit, Playwright, React Testing Library.
• Strong knowledge of front-end technologies such as HTML5, CSS3, JavaScript, and TypeScript.
• Familiarity with database systems such as SQL Server or MySQL.
• Strong knowledge of design and architectural patterns, SOA design & web service development.— Strong understanding of development processes.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Experience with Web Page performance optimization and measurement will be a plus.— Degree in Computer Science, a related discipline or equivalent work experience.
• Upper-intermediate level of English.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment
• Demonstrated leadership abilities, with a track record of mentoring and guiding junior developers.

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About The Role

As a Middle Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 3-4+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.