Top Tech Jobs & Startup Jobs

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 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.

Leads end-to-end technical strategy for customer accounts, designing scalable data engineering, AI/ML, streaming, and real-time analytics solutions on Databricks. Advises senior technical stakeholders, drives platform adoption and consumption growth, leads architecture and design discussions, builds competitive demonstrations, coordinates cross-functional resources, and provides product feedback. Requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent communication skills.

Leads customer technical strategy, architecture discussions, Databricks adoption, and production deployments. Designs scalable solutions across data engineering, machine learning, AI, real-time analytics, distributed data systems, streaming, lakehouse architectures, and cloud platforms. Advises senior technical stakeholders, drives competitive technical wins, coordinates cross-functional resources, develops technical specialization, and influences product direction through customer feedback.

Lead end-to-end technical strategy for customer accounts, including architecture discussions, scalable data and AI solution design, production deployment, platform adoption, and consumption growth. Advise senior technical stakeholders, demonstrate competitive differentiation, coordinate cross-functional resources, develop a technical specialization, and provide product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and excellent technical communication.

Leads platform incident investigations, coordinates detection and resolution, performs root cause analyses, and designs customer-focused monitoring, alerting, and observability workflows. Builds automation, improves platform reliability, mentors engineers, and participates in on-call rotations. The role requires cloud, container orchestration, monitoring, logging, alerting, incident management, and production automation expertise.

Manage a strategic federal system integrator account and drive enterprise sales growth for Databricks’ Data Intelligence Platform. Build relationships with CIOs, IT and business executives, and program managers; expand adoption into new units and use cases; exceed pipeline and revenue targets; maintain forecasts and customer details in Salesforce; and execute value-based, solution-oriented sales strategies. The role requires selling Big Data, cloud, SaaS, advanced analytics, and AI solutions to federal system integrators.

Leads Databricks’ AI transformation strategy with enterprise C-suite executives and strategic partners. Builds trusted-advisor relationships, co-creates AI transformation roadmaps, and oversees execution, deployment, operating models, and value realization. Develops repeatable executive engagement and co-sell programs, leads C-suite workshops, and establishes an external AI Transformation Expert Advisory Council. Requires extensive enterprise digital and AI transformation leadership, C-suite engagement, industry expertise, operating-model development, systems-integrator collaboration, and sufficient technical credibility.

Develop and execute marketing strategy for Databricks’ venture-backed startup segment. Own positioning, messaging, content, demand generation, account-based, partner, developer, and field programs that drive pipeline, adoption, consumption, and revenue. Build relationships with venture firms, accelerators, founders, developers, customers, and strategic partners. Improve product-led conversion from trials and technical evaluations to committed production spend, while enabling sales teams and strengthening technical credibility through content, communities, and events.

Lead enterprise sales for Databricks in the gaming sector by building executive relationships, expanding accounts into new business units and use cases, exceeding pipeline and revenue targets, managing forecasts in Salesforce, and using solution-based selling to communicate the value of Databricks’ Data Intelligence Platform. Develop account success plans, guide enterprise decision-makers, and collaborate with internal teams and system integrators.