Software Engineer, GTM

Parloa is a company focused on transforming customer experiences through AI, and they are seeking a Software Engineer to enhance their Go-To-Market operations. The role involves building systems, tools, and workflows to improve efficiency and scalability in GTM processes, leveraging AI and modern development practices.

Responsibilities:

• Build and own internal systems that power how Parloa’s GTM organization operates end to end, from lead flow through customer expansion
• Translate GTM strategy and business problems into scalable technical solutions, including custom tools, workflows, and system architectures
• Design and develop AI-powered workflows that improve efficiency, decision-making, and execution across the entire GTM motion
• Rapidly prototype new ideas using AI-assisted development, validate impact, and evolve successful solutions into production-grade systems
• Identify bottlenecks, inefficiencies, and manual processes across the GTM lifecycle and replace them with automated, reliable systems
• Build and maintain integrations across core GTM systems using APIs, webhooks, and data pipelines to ensure consistent and accurate data flow
• Own the quality, scalability, and maintainability of the systems you build, balancing speed of execution with long-term reliability
• Partner directly with GTM and company leadership to prioritize, scope, and deliver high-impact initiatives
• Enable GTM teams to operate more independently by building tools that are intuitive, accessible, and well-documented for non-technical users

Requirements:

• Experience building and maintaining high-quality software systems or applications, with the ability to work across the stack and take solutions from prototype to production
• Deep experience with AI-native development workflows, including regular use of tools such as Claude, Cursor, or Codex
• Strong proficiency in TypeScript or JavaScript and Python
• Experience building and integrating systems using APIs, MCP, CLI tools, webhooks, and OAuth
• Ability to operate effectively in ambiguous environments, defining problems as well as solving them without detailed specifications
• Strong communication skills with the ability to work closely with non-technical stakeholders and translate technical solutions into business value
• Ability to move quickly while maintaining high standards for reliability, scalability, and code quality
• Strong understanding of version control and CI/CD practices, including Git workflows, branching strategies, and automated testing and deployment pipelines such as GitHub Actions
• Experience working with CRM systems, project management tools, or BI platforms in a production environment
• Experience building browser extensions or developer productivity tools
• Active contributions to open-source AI tooling or developer communities
• Experience with containerization technologies such as Docker or Kubernetes for packaging and deployment