Jobs at duvo.ai

Own the technical story in enterprise deals: run discovery and process mapping, design and build pilots using customers' data and workflows, handle security and integration evaluations, guide early testing, and hand off successful pilots to engineering. Focus on measurable business outcomes and reusable demo assets to accelerate sales.

The Tech Lead is responsible for the technical direction of initiatives, writing production code, mentoring engineers, and making architectural decisions, with a strong focus on AI/ML products.

The Product Engineer will own end-to-end product features, focusing on customer outcomes, shipping with velocity, and collaborating with teams to enhance user-facing systems and AI integrations.

The Transformation Manager is responsible for driving business transformation for retail clients by connecting AI capabilities to measurable business outcomes, facilitating change leadership, and ensuring successful adoption of new processes.

The Site Reliability Engineer will manage platform reliability and infrastructure, ensuring security and observability while automating deployments. Responsibilities include incident response, monitoring, and improving reliability practices.

As a Founding Product Manager, you will define product priorities, lead customer discovery, and collaborate cross-functionally to drive successful outcomes in AI operations for retail and CPG enterprises.

The Design Engineer will combine design and engineering skills to create user-facing experiences, working on AI operations platform interfaces and ensuring production-quality outcomes through collaboration and iteration.

The AI Solutions Consultant will design and configure AI agents for retail/e-commerce businesses, identifying automation opportunities and translating business processes into operational solutions. They will collaborate with stakeholders and support sales conversations, ensuring customer satisfaction and effective solution delivery.

The Partner Manager will manage signed partner relationships, coordinate joint selling efforts, onboard partners, track account pipelines, and scale the partner ecosystem to drive revenue and growth.

Build and maintain the data foundation (pipelines, warehouse) and develop AI-native agents and internal workflows on top of it. Enable product and cross-functional teams to make faster, data-driven decisions. Measure success by improving organizational speed and intelligence.