
201 - 500 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 Series B on 2024-04
Artificial Intelligence • Enterprise
Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty.
🕒 July 10
🗣️🇪🇸 Spanish Required
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201 - 500 employees
🤖 Artificial Intelligence
🏢 Enterprise
💰 Series B on 2024-04
Artificial Intelligence • Enterprise
Parloa is a leading global AI company with a vision to make every customer interaction as easy as talking to a friend. We amplify the customer service experience with our AI Agent Management Platform. This enterprise-grade platform automates contact centers by leveraging the full power of generative AI safely & reliably in the context of consumer interactions. It combines highly-skilled personal AI agents that engage in natural and unique conversations with every customer, with AI assistance for human agents when they get on the line. Global brands trust Parloa to connect with their customers, ensuring they feel heard through exceptional experiences that increase satisfaction, encourage sales, and build loyalty.
• Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments • Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security • Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements • Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery • Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes • Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers • Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility • Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success • Shape the product: Act as the feedback loop between the field and our core engineering teams — turning deployment learnings into platform evolution • Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value
• 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact • Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments • Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems • Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems • A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world • Degree in Computer Science, Engineering, or related technical field • Native or near-native Spanish language skills and professional fluency in English • Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)
• Health insurance • Flexible work arrangements • Professional development
Apply Now🕒 July 10
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