Engineering Manager - Infrastructure
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
We are looking for an Engineering Manager to lead our Infrastructure and Provisioning team. The team and the role are responsible for the design, development, deployment and operation of our Kubernetes and public cloud infrastructure, as well as our internal tooling, build, and testing systems.
The Provisioning Infrastructure roadmap cover a broad area and includes development of our customer-facing deployment tooling; launching of our managed infrastructure offerings; our internal dev, test, demo, and production environments and the tools and systems to manage and monitor them;
As Engineering Manager 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 our, with product management and customers to deeply understand and build for customer and market needs, 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)
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