Top Tech Jobs & Startup Jobs in Charlotte, NC

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.

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.

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 enterprise QSR account for Databricks by building executive relationships, expanding platform adoption across business units, driving value-based growth, exceeding pipeline and revenue targets, and forecasting in Salesforce. The role requires consultative selling expertise in big data, cloud, SaaS, advanced analytics, AI, and consumption-based sales, with responsibility for guiding enterprise customers and system integrators through complex purchasing decisions.

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.

Leads technical strategy and product adoption for major Retail and CPG enterprise accounts as Databricks’ primary technical voice. Partners with account executives, guides customers through data and AI transformations, builds technical champions, aligns solutions to business strategies, and mentors team members. Requires extensive pre-sales, big data, cloud, data science, programming, and production data systems experience.

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.

Drive Lakebase revenue within Financial Services accounts by identifying opportunities, leading complex enterprise sales cycles, and selling managed Postgres for operational and AI-driven applications. Engage technical and executive stakeholders, orchestrate proof-of-value initiatives, support migrations and Postgres standardization, enable account teams, and partner with Product, Marketing, Customer Success, ISVs, and GSIs on strategic go-to-market motions.

Build and ship AI-powered features for GTM analytics: Genie agents, LLM-driven workflows, and in-app intelligence. Develop agentic workflows (prompts, retrieval, tool integrations), write Python/SQL against Databricks lakehouse and Lakebase (Postgres), evaluate AI outputs, and collaborate with engineers and stakeholders to deliver tested, production-ready code.

Solutions Architects lead the adoption of Databricks' platform, consult on big data architecture, and develop solutions for customers. This role involves technical leadership, prototyping, and building reference architectures while collaborating with sales and technical teams.