Jobs at JustAnswer

Manage high-volume, end-to-end recruitment for support roles, including sourcing, screening, HR assessments, interview coordination, stakeholder collaboration, candidate experience, ATS maintenance, and recruiting metrics. The contract role requires fast execution, strong pipeline development, bulk hiring experience, and consistent delivery against hiring targets and timelines.

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.

Own growth strategy and execution for Fount, a legal technology product serving independent lawyers and small firms. Lead demand generation, content, conversion optimization, HubSpot automation, product marketing, sales enablement, experimentation, attribution, and closed-loop revenue analytics. Build a reusable growth operating system, collaborate cross-functionally, and personally execute priority initiatives in a lean environment.

Build and improve payment-related frontend experiences using React, while contributing to backend integrations and services with C# and .NET. Develop automated unit and integration tests, work with complex MS SQL queries and high-load data flows, collaborate with cross-functional teams, support payment providers, improve system reliability, and participate in code reviews. The role requires at least three years of software engineering experience and familiarity with generative AI tools.

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.

Own discovery, strategy, roadmap, execution, and revenue outcomes for Pearl Enterprise products. Lead product prioritization, OKRs, agile delivery, customer discovery, experimentation, MVP definition, AI-enabled feature development, and data-driven decision-making. Collaborate with Engineering, AI, Sales, enterprise customers, and leadership to identify opportunities, deliver releases, and maximize business impact in an ambiguous, fast-paced environment.

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.

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.

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.