Top Tech Jobs & Startup Jobs

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.

The Sr. Solutions Engineer will drive technical strategy for large accounts, implement AI and ML solutions, and lead data-driven transformations using Databricks.

Lead a team of researchers to improve large-scale machine learning, focusing on efficiency, optimization, and scaling techniques for AI models.

The role involves leading complex, cross-functional programs in enterprise software, influencing roadmap decisions, driving execution across organizations, and ensuring successful product launches and customer adoption.

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

Lead customer-facing, production-grade data and AI projects on the Databricks platform: design architectures, build end-to-end data pipelines, integrate ML/AI models and applications, embed with customer teams, deliver scalable secure solutions, contribute reusable accelerators, and collaborate cross-functionally to drive measurable outcomes.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads architecture, implements data pipelines, ML/AI model integration, CI/CD deployments, and reusable accelerators while collaborating with customers and cross-functional teams to deliver measurable business outcomes.

Lead Databricks' global strategic partnership with Accenture, managing a global alliance team to grow revenue, scale the Accenture Databricks Business Group, drive joint go-to-market programs, executive engagement, training, repeatable IP investments, and joint customer adoption across AMER, EMEA and APAC.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.