Jobs at JustAnswer

Analyzes payment data to identify trends, optimize payment processes, improve authorization rates, and support revenue growth. The role conducts testing analysis, builds dashboards, responds to ad hoc requests, partners cross-functionally, and translates findings into actionable recommendations. It also explores AI tools to accelerate analysis, automate repetitive work, and improve reporting.

Build and maintain backend-focused payment systems using C#/.NET, integrate payment processors, handle transactions/refunds/chargebacks, improve payment infrastructure, write automated tests, optimize SQL and performance, ensure PCI-aligned security, and collaborate with product and engineering teams.

Lead Pearl's Enterprise AI product business end-to-end: define vision and GTM, build and scale AI+human offerings, partner with enterprise customers, and run a lean cross-functional team to deliver measurable commercial outcomes.

The Lead Machine Learning Engineer will build and deploy ML models, design data pipelines, and collaborate across teams to optimize business outcomes.

Lead marketing analytics for international PPC campaigns by analyzing large datasets, building SQL-based dashboards in Power BI, designing A/B and multivariate tests, applying segmentation and predictive models, leveraging AI tools to create ad assets, and partnering with cross-functional teams to optimize Google Search and Display performance and improve ROI.

Design, implement, and scale full‑stack web applications and backend services (.NET Core, React/TypeScript). Build data pipelines, analytics integrations, CI/CD, and tests. Collaborate with Product, Design, and Data; use AI/LLMs and developer tooling; participate in code reviews, incident response, and architectural design for high‑traffic, observable systems.

Design and build production AI-powered analytics: conversational interfaces, LLM agents, semantic data models, and scalable data pipelines. Partner with Product and Engineering to deploy RAG/MCP-based solutions, integrate AI with enterprise data and cloud platforms, mentor teams, and promote Responsible AI practices to improve decision-making and automation across the company.

Lead and grow a team of Conversation Designers to build and scale conversational AI experiences. Partner with Product, Engineering, Analytics, and ML teams to drive strategy, tooling, evaluation, and quality practices. Recruit and remove roadblocks, own strategic initiatives, and remain hands-on in designing, testing, and improving AI-driven conversational products.

Design and optimize German-language chatbot flows and conversation copy, analyze transcripts and performance, apply LLM/NLP tools and prompt engineering, conduct QA and localization, collaborate with cross-functional teams, and contribute to special projects to improve engagement, conversion, and customer support.