Top Tech Jobs & Startup Jobs

The Senior Engagement Manager leads complex programs in Latin America, driving customer satisfaction, account growth, and successful implementation of Professional Services.

Own search quality for both AI agents and human users by building hybrid retrieval, ranking models, evaluation frameworks, and relevance guardrails across structured and unstructured data to ensure accurate, high-recall results.

The Engagement Manager drives customer success by ensuring satisfaction through all service phases, collaborating with various teams to deliver value and manage professional services effectively.

Provides high-touch technical support to Databricks’ largest customers by troubleshooting complex Spark, SQL, Delta, streaming, ML, and AI issues. Performs root-cause analysis, develops proofs of concept, monitors performance, creates playbooks, trains customer teams, and partners with Field Engineering, R&D, NOC, Sales, and Product teams. Acts as a trusted technical advisor during customer engagements and business reviews.

Provide high-touch technical support to Databricks’ strategic customers by troubleshooting complex Spark, SQL, Delta, streaming, ML, and AI issues. Perform root cause analysis, build and monitor proofs of concept, develop support playbooks, train customer teams, improve support processes, and advocate for customers. Partner with Field Engineering, Sales, Product, R&D, and NOC teams during customer engagements, including onsite technical presentations and production issue resolution.

Develop and deploy machine-learning search relevance systems at scale for Databricks products. Build ML and NLP pipelines for query understanding, rewriting, retrieval, ranking, preprocessing, and evaluation. Improve search quality using LLMs, automated experimentation, and robust offline and online evaluation frameworks. Collaborate with product managers and cross-functional teams on search and discovery initiatives while contributing to open-source projects.

Prospect and close new startup accounts while expanding existing customers for Databricks Lakehouse. Build a territory plan, drive transactions and strategic deals, meet pipeline and revenue targets, maintain Salesforce and Clari hygiene using MEDDPICC, and communicate product value to compress decision cycles.

Lead pre-sales technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI initiatives. Act as main technical voice, build proofs-of-concept, create technical champions, mentor teammates, and align solutions to customer strategy while engaging executives and managing large global accounts.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on Databricks. Leads end-to-end design, implementation, and deployment of data pipelines, ML/AI model integrations, and applications, while enabling customers through training, documentation, and reusable assets. Works cross-functionally to scope engagements and deliver measurable outcomes.

Customer-facing engineering role delivering production-grade data and AI solutions on Databricks. Lead architecture, build end-to-end data pipelines, ML/AI integration, applications, and reusable assets. Collaborate cross-functionally, drive technical delivery, train and embed with customers, and contribute product and implementation feedback to scale impact.