Top Tech Jobs & Startup Jobs

Leads commercial delivery across complex enterprise data and AI/ML engagements, managing risks, scope, governance, reporting, customer outcomes, and cross-functional teams. Acts as a trusted advisor to senior stakeholders, supports account expansion, oversees statements of work and change control, protects margins, improves delivery practices, and mentors junior team members. The role requires strong cloud and modern data platform knowledge, executive communication, and experience managing Agile, Scrum, or hybrid delivery frameworks.

Manages and mentors a team of data engineers and architects, provides technical guidance, oversees customer Databricks projects, leads reusable tooling development, handles escalations, partners with stakeholders, improves service offerings, and supports customer success throughout sales and delivery.

Design, develop and deploy large-scale distributed systems and services on Databricks' data platform. Collaborate with backend and DDS teams to enhance product features and performance.

Own and grow an emerging commercial territory in Japan by prospecting high-potential accounts, acquiring new customers, expanding relationships, managing transactional and strategic deals, and meeting pipeline and revenue targets. Maintain accurate Salesforce and Clari records, forecasting, opportunity tracking, and account notes while communicating technical value to senior stakeholders. Fluency in Japanese and business-level English are required.

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%.

Own end-to-end technical strategy for customer accounts, lead architecture discussions, design scalable data and AI solutions, drive Databricks adoption, and advise senior technical stakeholders. Build custom solutions for competitive opportunities, develop a technical specialization, coordinate cross-functional resources, and influence product direction through customer feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and 30% customer travel.

Lead technical strategy for customer accounts, including architecture discussions, production-grade data and AI solutions, platform adoption, and consumption growth. Advise senior technical stakeholders, build custom competitive solutions, coordinate cross-functional resources, develop a technical specialization, and influence product direction through customer feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, communication skills, and 30% customer travel.