Top Tech Jobs & Startup Jobs

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 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.

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 and motivate a team of Hunting Account Executives focused on acquiring VC-backed startup customers. Own revenue targets, pipeline generation, new-logo acquisition, and quota attainment. Develop strategic sales plans, coach account executives in prospecting and deal execution, translate technical products into business value for C-suite buyers, and build relationships with customers, partners, and employees. Travel may be required up to 25%.

Lead a team of Core Account Executives selling to VC-backed startups. Own revenue targets, pipeline generation, account growth, and quota attainment while developing strategic plans and coaching sellers in prospecting, expansion, operational rigor, and customer value communication. Build relationships with employees, customers, partners, and executives; translate technical data, AI, and infrastructure products into business value; and support deals as needed. Travel is expected up to 25%.

Lead complex enterprise customer engagements as a senior technical authority for Databricks solutions. Drive platform adoption, consumption, and revenue growth; advise executives on data and AI strategy; design large-scale data, streaming, migration, and AI/ML architectures; lead competitive evaluations; coordinate cross-functional teams; mentor solutions architects; and contribute to technical thought leadership. Travel to customers approximately 30% of the time.

Lead technical strategy for customer accounts by designing scalable data, AI, streaming, and real-time analytics architectures. Advise senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, develop technical specialization, and influence product direction. The role includes architecture discussions, production deployment guidance, live coding, solution building, design presentations, and customer-facing technical communication.