Top Tech Jobs & Startup Jobs in NYC, NY

Lead design for a 0-to-1 agent-driven AI product that makes Lakehouse data actionable. Define workflows, conduct user research, collaborate with PM and engineering, create intuitive visual and interaction designs, and mentor junior designers.

Provide end-to-end product legal counsel on data privacy, protection, AI, cloud, and security; draft and negotiate product/security contract terms (DPAs, BAAs); advise on vendor data flows, incident response, and go-to-market activities; partner cross-functionally and help improve product counseling processes.

Develop and manage the research infrastructure for AI at Databricks, focusing on large-scale training, orchestration, and improving developer productivity.

Owns the commercial success of Databricks training and enablement offerings across enterprise accounts in the Americas. Partners with sales, customer success, professional services, and technical teams to diagnose skill gaps, design tailored learning plans, sell and deliver training programs, and measure adoption, renewal, revenue, and business impact. The role also influences executive stakeholders, develops scalable enablement frameworks, mentors colleagues, and identifies new opportunities for customer talent transformation.

Manage and launch innovative learning programs globally, enhance user adoption, and leverage AI and data for effective enablement.

Lead the design, deployment, reliability, and evolution of global unified communications, enterprise voice, conferencing, AV, and workplace technology infrastructure. Support office expansions, executive environments, and large-scale deployments; troubleshoot complex communication systems; build automation and operational tooling; coordinate vendors and cross-functional teams; establish scalable standards and documentation; and mentor engineers.

Own customer-facing AI and data engagements from discovery through production launch. Define business value, MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery, architecture reviews, agile delivery, testing, production readiness, launch, adoption, and strategic handoff. Build C-suite relationships, translate business needs into technical requirements, resolve delivery risks, and identify future high-value opportunities.

Leads Databricks’ global customer enablement partnerships, owning strategy, operating models, commercialization, partner offerings, pricing, governance, quality standards, and revenue growth. The role coordinates Legal, Finance, Curriculum, Training Operations, Commercialization, and regional teams while scaling partner-led curriculum, certification, and delivery programs. It also develops regional capabilities, manages global partnership ecosystems, and champions AI-enabled expansion.

Drive enterprise sales of Databricks’ Data Intelligence Platform to Fortune 500 and telecommunications accounts. Build executive relationships, expand usage across business units, manage strategic opportunities, exceed pipeline and revenue targets, forecast in Salesforce, and lead value-based solution selling. The role requires expertise in big data, cloud, SaaS, AI, and consumption-based sales motions, along with the ability to translate technical capabilities into business value.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.