Top Tech Jobs & Startup Jobs

Leads complex, multi-quarter Professional Services and Training engagements for Digital Native Business customers. Drives regional impact, booking and consumption goals, solves complex multi-country challenges, shapes account and sales strategy, develops senior customer relationships, and mentors Engagement Managers. Requires deep Databricks architecture and ecosystem expertise, strategic account planning, external thought leadership, hiring participation, and 25–50% travel.

Leads global marketing planning, investment allocation, capacity modeling, and target setting. Builds and manages a new team while redesigning marketing workflows for AI and agent-based execution. Drives organization-wide adoption, establishes standards for prompts and context, and implements AI governance around quality, risk, privacy, and responsible use. Partners with Marketing, Finance, Sales Strategy, and data and platform teams to improve pipeline efficiency, time to market, and growth across business units.

Lead the design and development of sales data models, CRM-integrated AI agents, and permissioned write paths for revenue teams. Build scalable GenAI interfaces for complex workflows with transparency and human approval. Partner with product, design, and engineering teams to define initial use cases, launch MVPs, and drive adoption. Provide technical and people leadership in a 0-to-1 product environment.

Leads scalable advertising data ingestion, normalization, aggregation, identity resolution, and agentic workflow development. Establishes correctness and evaluation standards for noisy measurement data, while partnering with product, design, and engineering teams to deliver scalable solutions. Requires deep advertising API and ad-tech measurement expertise, production LLM experience, and technical and people leadership in complex enterprise environments.

Develop and productionize GenAI applications for customers, including RAG, multi-agent, Text2SQL, and fine-tuned systems. Lead production rollouts, evaluations, and optimizations; advise customers as a trusted technical expert; present at conferences; and collaborate with product and engineering teams to influence roadmaps. The role requires hands-on data science and machine learning deployment experience, customer communication skills, eligibility for a U.S. Secret clearance, and travel to customers every 4–8 weeks.

Develop and productionize GenAI applications for federal-sector customers, including RAG, multi-agent systems, Text2SQL, and fine-tuning solutions. Advise customers, lead production rollouts, present technical concepts, collaborate with product and engineering teams, and influence the AI product roadmap. The role requires production machine learning deployment experience, strong data science expertise, customer-facing communication, U.S. citizenship, Secret clearance eligibility, and periodic customer travel.

As a Startup Account Executive, you'll drive sales by managing both new and existing accounts, exceeding KPIs, and pursuing new opportunities. You'll develop a territory plan, align customers with product vision, and ensure great CRM hygiene.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Build and productionize customer data and AI solutions on Databricks. Own architecture, design decisions, data pipelines, applications, ML/AI integrations, and end-to-end deployment. Partner with customers, project managers, architects, engineering, product, and support teams to deliver measurable outcomes. Guide technical adoption, train stakeholders, resolve implementation issues, and create reusable frameworks. The role requires customer empathy, enterprise stakeholder management, technical project delivery, and travel to customers approximately 20% of the time.

Lead end-to-end technical strategy for customer accounts, design scalable data and AI architectures, guide production deployments, and drive Databricks adoption. Advise senior technical stakeholders, lead architecture and coding demonstrations, build competitive solutions, coordinate cross-functional resources, develop technical specialization, and influence product direction through customer feedback.