Acryldata

Own reliability, scalability, and operational excellence for DataHub Cloud and enterprise deployment offerings. The role requires 5+ years in DevOps, platform engineering, or SRE, with expertise in cloud platforms, Kubernetes, infrastructure as code, observability, and deployment automation.

The Sales Engineer partners with account executives to qualify prospects, lead technical discovery, deliver tailored demonstrations, shape proofs of concept, and support enterprise deal execution. The role requires 5+ years of sales engineering experience and strong knowledge of software development, databases, networking, and cloud computing.

Leads development of scalable backend systems and SaaS platform capabilities across cloud environments, while mentoring engineers and partnering with product, customers, and the open-source community. Requires 8+ years of experience, strong Java and distributed-systems expertise, and production operations experience.

Coordinates end-to-end releases across open-source and managed cloud products, establishing quality gates, automation, and risk controls. Requires 5+ years in technical program or release management, strong software lifecycle and DevOps knowledge, and cross-functional communication skills.

Senior Product Manager responsible for defining vision, strategy, and roadmap for DataHub's AI & data context platform products. Requires 4+ years PM experience, data tools background, quantitative skills, and PLG/self-serve product expertise.

Manage end-to-end release cadences and quality gates for DataHub's open-source core and managed cloud SaaS. Coordinate cross-functional teams, mitigate risks, build automation, and drive continuous improvement in a fast-paced environment.

Lead a globally distributed team of 10-11 engineers responsible for DataHub's Ingestion platform and 100+ connectors. Own architecture for high-scale metadata ingestion, AI agents for onboarding/troubleshooting, platform reliability, and cross-functional strategy in a fast-growing open-source data/AI company.

Leads development of DataHub's platform framework, building scalable metadata ingestion systems, APIs, event-driven processing, schema mapping, and AI asset versioning. Requires 8+ years in distributed systems, advanced Python/API expertise, and high-scale data processing experience.

Leads development of DataHub's ingestion framework, building scalable metadata systems, APIs, and event-driven architectures for enterprise AI and data platforms. Requires 4+ years in distributed systems and advanced Python expertise.