Top Tech Jobs & Startup Jobs

Sell Databricks into strategic enterprise accounts by building C-suite relationships, expanding footprint and use cases, exceeding pipeline and revenue targets, managing forecasts in Salesforce, and promoting the Databricks data and AI platform (Spark, Delta Lake). Develop account plans, prioritize opportunities, and coordinate resources to drive value-based adoption.

Lead architecture and build agentic LLM systems for People Tech (onboarding, comp analysis, HR service delivery). Define agent platform strategy, integrate HR systems as agent-accessible tools, set engineering standards, run architectural reviews, and mentor engineers while translating capabilities to business stakeholders.

Provide advanced technical support and architecture guidance for Databricks platform customers. Troubleshoot complex platform and integration issues, recommend performance improvements, coordinate with engineering/escalation teams, produce documentation and knowledge articles, and participate in on-call rotations to ensure customer success.

Sell Databricks to high-growth, venture-backed customers by expanding consumption within enterprise accounts. Penetrate accounts quickly, build pipeline, exceed revenue targets, and present value to C-level and practitioner stakeholders. Coordinate internal resources to win new business and grow existing accounts using creative, value-based sales approaches.

Lead technical pre-sales engagements for Databricks, demoing Spark and data/AI solutions, building architectures, authoring reference materials, and collaborating with account teams to design and deliver customised proofs-of-concept and workshops.

Partner with sales to design and demo Databricks-based data architectures and proofs-of-concept. Provide technical leadership for cloud data engineering, analytics, and ML projects, build reference architectures and demos, and engage Financial Services customers to drive adoption and implementation.

Sell Databricks Data Intelligence Platform into large financial services accounts. Develop industry-specific use cases, co-develop business plans with partners, drive adoption of usage-based subscriptions, manage executive relationships, lead cross-functional teams, and close complex enterprise deals to exceed bookings and usage targets.

Lead and scale a Forward Deployed Engineering team for Public Sector customers, overseeing technical delivery of large-scale data migrations, AI/ML and GenAI programs. Partner with sales and product teams to scope and deliver professional services, enforce delivery quality and risk management, mentor engineers, and act as escalation point for high-stakes customer situations.

Customer-facing engineering role that designs, builds, and productionizes end-to-end data and AI solutions on Databricks. Lead architecture and implementation of data pipelines, ML/AI model integration, and user-facing applications, collaborate cross-functionally, deliver production deployments, provide customer training and support, and contribute reusable assets and product feedback.

Lead strategy and roadmap for Databricks' SAP platform, build AI-driven agentic automation on top of SAP, own ingestion and modeling of SAP data into the Lakehouse, act as product owner through delivery, and align Finance, Procurement, and engineering to drive adoption and measurable automation outcomes.