Jobs at JustAnswer

Lead product strategy, growth, and execution across a portfolio of B2C products. Define roadmaps, prioritize opportunities, drive launches and continuous improvement, and improve conversion, profitability, and customer lifetime value through data and experimentation. Partner with cross-functional teams, influence senior stakeholders, and manage, mentor, and develop Product Managers while leveraging AI and emerging technologies.

Build backend-heavy full-stack solutions for AI-enabled product experiences, personalization, intake workflows, experimentation, and self-optimization. Develop LLM and AI agent integrations, contribute to frontend functionality, write production-quality code and tests, and collaborate with engineering and cross-functional teams. The role primarily uses C# and .NET, with frontend technologies, Python, SQL, and modern AI workflows.

Supports integrating conversational bot experiences into landing pages and product surfaces, configuring and validating integrations, testing changes, investigating issues, and maintaining quality. Collaborates with engineers and Conversation Designers on experiments, uses AI-assisted development tools, documents recurring processes, and helps automate manual workflows. The role is suited to an early-career engineer with web development experience who is eager to grow while contributing to AI-powered products.

Leads technical accounting and revenue recognition under US GAAP and ASC 606, supports consolidation and intercompany accounting, strengthens SOX controls, and owns close, reconciliations, reporting, and audit documentation. Partners with Finance, Legal, Product, Operations, and Tax on complex transactions and scalable processes. The role also manages technical accounting papers, stakeholder communication, process automation, and potentially develops accounting team members.

Develop and maintain scalable full-stack software across front-end and back-end systems. Build user-facing features, backend services, and business-critical migration initiatives; collaborate with product and business stakeholders; write tested, maintainable code; troubleshoot SQL and application data flows; optimize performance; participate in code reviews and agile development; and use AI-assisted tools to improve engineering productivity.

The EVP, Investor Relations & Corporate Development will lead strategic financial initiatives, optimize business models, enhance investor relations and develop a high-performing finance team to drive long-term value creation.

Leads Agent Hub requirements analysis, platform support, feature testing, dashboard monitoring, and AI transformation projects. Translates ambiguous AI opportunities into actionable requirements, coordinates engineering and prompt engineering teams, manages delivery activities, and uses AI tools daily for analysis, documentation, prioritization, and project coordination.

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.

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 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.