Jobs at Digital.ai

The Principal Software Engineer will lead the development of large-scale data and AI platforms, mentor engineers, and collaborate with data science teams to optimize data workflows and ensure system scalability and performance.

The QA and Automation Engineer will contribute to software delivery at Digital.ai by developing automated tests and managing test frameworks, leveraging skills in Java and automation tools while working with cloud technologies and mobile development.

Own and grow the global channel sales motion for Digital.ai Testing by activating and developing SI and reseller partners, recruiting high-fit partners, driving partner-sourced pipeline and revenue, enabling partners with training and certifications, managing marketplace and Salesforce GTM, resolving channel conflict, and coordinating cross-functional executive and services alignment to scale testing-led revenue globally.

The Senior Full Stack Developer will lead software development teams for release orchestration, focusing on creating, maintaining, and optimizing enterprise-level applications, with a strong backend focus in Java and Scala.

Generate and qualify inbound and outbound leads via cold calling, email, and social media; schedule meetings and demos; maintain CRM records; collaborate with marketing and sales to grow pipeline and communicate product value.

The Senior Principal Software Engineer will lead technical strategy, design scalable architectures, integrate AI systems, and ensure application reliability and security.

The Global Channels Sales Specialist will grow Digital.ai's channel sales for Agility and DevOps, focusing on partner recruitment, revenue generation, and collaboration with internal teams to achieve sales targets.

As a Business Development Representative, you will generate and qualify leads, conduct outreach via phone and email, schedule meetings, and collaborate with marketing and sales teams to drive business growth.

As a Principal Software Engineer, you will design and develop secure web applications and distributed systems, leveraging AI/ML for data processing. This role involves leading architecture, ensuring performance and security, and mentoring engineers while integrating real-time analytics and intelligent data workflows.