We are looking for a Director of Engineering to lead our AI Platform team. Our AI Platform team builds innovative software systems to power the Snorkel Flow platform. This includes services to train and serve generative AI and machine learning models using novel data-centric techniques, libraries to support AI workflows for a variety of data modalities and task types, core training data management technologies, and more.
The AI platform roadmap includes introducing new workflows based on Snorkel AI research (such as RAG enrichment for generative AI), maturing existing AI use cases (such as document intelligence), and scaling recently launched capabilities to GA (such as image classification.
As Director of Engineering for this team, you will lead, develop and grow a team of talented engineers to meet Snorkel AI's growth goals. You will work cross functionally with other engineering teams to extend platform capabilities and deliver new AI workflows, with product management and customers to deeply understand and build for user needs, with applied research to develop novel AI techniques, and with GTM partners to help us market, sell and support Snorkel AI offerings to help customers be successful.
Primary responsibilities
- Manage, develop, and grow a talented team of AI, systems, and backend engineers
- Deliver AI systems capabilities to enable new workflows in the Snorkel Flow platform
- Have a significant impact on the architecture, design, development, and operations of large-scale data-focused AI systems and interactive product workflows
- Collaborate with product management, field team members, and customers to understand product use cases, desired capabilities, scaling requirements, and more
- Actively contribute to Snorkel's engineering culture through mentorship, open communication, user empathy, advocacy of strong engineering practices, and more
Preferred qualifications
- Degree in Computer Science or related field
- 12+ years of professional experience designing and building data-intensive software systems
- 4+ years of engineering management experience
- 4+ years of professional experience designing and building AI-focused software systems
- Significant experience in building data or AI systems for unstructured data modalities such as natural language, images, or video
- Experience building enterprise-grade, user-facing software products
- Experience with architecting and developing production web-scale systems (including monitoring, telemetry, performance, reliability, triage, and debuggability)
- Experience at high-growth technology startups
- Experience developing growth programs for engineering organizations (e.g. career ladders, mentorship)