Top Tech Jobs & Startup Jobs

Partner with sales to drive Databricks adoption for public sector customers by designing distributed data architectures, delivering POCs and demos, validating cloud integrations, and promoting open-source projects. Act as technical lead and trusted advisor through pre-sales and implementation while building customer relationships and presenting reference architectures.

Lead global paid media strategy and a team of media planners to drive brand awareness, account engagement, and pipeline growth. Build scalable planning frameworks, align budget to high-impact audiences, implement measurement frameworks with Analytics, and foster team development and continuous test-and-learn improvements.

Senior pre-sales technical leader partnering with Enterprise AEs to define technical strategy and drive Databricks, ML/AI, and data adoption in large global accounts. Lead technical strategy, build proofs-of-concept, create technical champions, mentor teammates, and align solutions across account stakeholders. Requires expertise in big data, data science, cloud, and production programming.

Lead and scale People M&A operations by converting manual workflows into automated, documented playbooks. Drive cross-functional execution across recruiting, IT onboarding, HR ops, and People Tech. Establish data ownership and single source of truth, roadmap People M&A priorities, and deliver consistent, error-free employee integration during acquisitions.

Own product marketing for Genie, developing messaging, content, and cross-channel GTM targeting business and technical buyers. Drive awareness, launches, adoption, sales enablement, partner campaigns, and customer proof points to demonstrate business impact.

Own the AI platform product roadmap, drive strategy for ML/AI infrastructure (training, serving, monitoring, vector search, feature stores), partner with engineering and GTM to operationalize AI at enterprise scale, and define pricing and commercialization to increase adoption.

Own product roadmap and strategy for Databricks AI platform capabilities across training, serving, feature stores, vector search and LLM infrastructure. Partner with engineering, GTM, and customer teams to drive enterprise adoption, pricing, and commercialization of ML/AI platform features.

Lead strategy and execution to drive adoption of serverless workspaces, simplify workspace creation, ensure enterprise governance, integrate with Unity Catalog and identity, and define policies to manage workspace proliferation.

Lead pre-sales technical engagements for the Lakebase product line: design solutions, run workshops and demos, advise customers on OLTP and Lakehouse integrations, influence roadmap, and act as tier-3 escalation to ensure successful adoption and delivery.

Lead strategy and execution to transition customers to serverless workspaces. Design frictionless, governed workspace creation flows, solve workspace proliferation with admin tooling, integrate with Unity Catalog and identity, and drive KPIs (e.g., Time to First Workspace, Serverless Adoption) to increase serverless usage.