Pearl (JustAnswer)

About the Role

As an Associate Conversation Designer at Pearl, you'll help build and evolve chatbots that support and convert millions of customers around the world. This role is focused on the German market and requires native-level German fluency to design, review, and optimize customer-facing conversational experiences. You'll work alongside experienced conversation designers to create engaging, efficient conversational flows using our in-house language, blending creativity with data to deliver delightful AI + Human-powered experiences. This is an excellent opportunity for an early-career professional who is curious about AI, passionate about conversation design and user experiences, and excited to learn in a fast-paced, collaborative environment.

What You'll Do

• Design and optimize chatbot flows to convert, engage, and support customers across e-commerce and customer service journeys
• Write clear, compelling conversation copy that aligns with brand tone and business objectives
• Analyze customer transcripts and chatbot performance to identify gaps and propose improvements
• Apply NLP/LLM tools and prompt engineering to enhance response quality and scalability
• Partner with international teams to localize and align bots with regional goals and personas
• Collaborate with analytics to evaluate performance metrics and measure impact
• Conduct QA (functional, linguistic, and regression) testing of bot interactions
• Lead or contribute to special projects (e.g., chatbot consolidation, competitor analysis, new bot launches)

What We're Looking For

• Advanced level of German or higher
• 0–2 years of experience designing and launching chatbot or conversational AI solutions in production environments, or through internships, academic projects, or research
• Upper-intermediate level of English or higher.
• Experience working with or exposure to LLMs and prompt engineering
• Introductory knowledge of Python or another scripting language applied to conversational systems or automation preferred
• Excellent written and verbal communication skills
• Strong attention to detail and ability to identify patterns, inconsistencies, and opportunities for improvement
• Eagerness to learn new technologies, tools, and ways of working
• Curious, analytical mindset with a passion for understanding customer behavior and solving problems
• Ability to manage multiple priorities and stay organized in a fast-paced environment
• Strong collaboration skills and openness to feedback
• Comfortable working with data and using insights to inform decisions
• Demonstrated initiative through coursework, internships, projects, leadership experiences, or extracurricular activities
• Interest in AI, conversational design, customer experience, or emerging technologies
• Bachelor's degree or equivalent experience in Linguistics, Cognitive Science, Human-Computer Interaction, Computer Science, Human-Centered Design, or a related field

Bonus Points For

• Coursework, projects, or internships involving AI, chatbots, UX writing, customer experience, or product design
• Experience using tools such as Figma, Excel, PowerBI, Asana, Lucid
• Chart, or similar platforms
• Experience working on team-based projects with multiple stakeholders
• Interest in global markets, localization, or multilingual experiences

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/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.