Top Tech Jobs & Startup Jobs

Design, build, and scale Databricks AI Runtime for large-scale GPU training. Lead architecture and implementation of multi-node orchestration, scheduling, checkpointing, resilience, throughput optimization, observability, and developer tooling. Mentor engineers, partner with product and research, and deliver high-impact production rollouts supporting thousands of accelerators and diverse model workloads.

The role involves developing M&A and investment strategies, supporting transactions from sourcing to execution, and building relationships within the investment ecosystem.

Drive architecture and implementation of Databricks AI Runtime for large-scale GPU training. Build scheduling, distributed training performance, resilience, observability, and developer-facing APIs/CLI. Improve GPU utilization, fault tolerance, and multi-node orchestration. Lead cross-team initiatives, mentor engineers, and deliver high-impact platform features supporting thousands of accelerators and long-running jobs.

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.

Sell Databricks enterprise cloud data platform into net-new accounts by developing account strategies, identifying use cases, engaging buying centers, orchestrating cross-functional teams, and closing deals while exceeding quota.

The role involves shaping big data solutions, collaborating with customers and teams, and providing technical leadership in data engineering and AI.

Customer-facing, hands-on engineer who designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Own architecture, deliver production-grade pipelines and ML integrations, embed with customers, drive technical strategy, contribute reusable assets, and ensure successful adoption and measurable outcomes.

Lead post-investment partner portfolio strategy for ~15 venture-backed partners, drive joint business plan execution, accelerate partner-sourced pipeline, enforce certification/governance, unblock cross-functional execution, surface scaling signals, and identify next-generation investment candidates.

Customer-facing Solutions Architect driving adoption of the Databricks Lakehouse platform. Design distributed data architectures, build proofs-of-concept, validate cloud integrations, present reference architectures and demos, support escalations, and evangelize open-source projects. Partner with sales to deliver strategic value and advise customers through implementations. Travel up to 30%.

Enterprise account executive responsible for selling Databricks' cloud data platform to hi-tech enterprise accounts. Build territory plan, engage CIOs and IT/LOB leaders, manage full sales cycles, close new and existing accounts, track opportunities in Salesforce, exceed pipeline and revenue targets, and ensure customer satisfaction.