Top Tech Jobs & Startup Jobs in NYC, NY

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.

The Strategic Customer Advisor will engage with executives to drive deal outcomes, coach teams, elevate sales strategies, and influence through leadership in high-stakes environments.

The Lakebase Sales Specialist drives adoption and revenue of Databricks Lakebase by engaging applications teams, conducting proof of value, and collaborating with account executives, showcasing the benefits of fully-managed Postgres for operational workloads.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.

Customer-facing engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Responsibilities include end-to-end system design, Spark-based data engineering, MLOps, cloud integration, stakeholder engagement, and delivering production-grade deployments with reusable assets and measurable outcomes.

Solutions Architect leads customer adoption of Databricks solutions, designs data systems, consults on big data architecture, and develops implementations.

The Strategic Account Executive will manage an enterprise client in the Public Sector, drive growth, build executive relationships, and exceed sales targets using solution-based selling.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

Lead customer-facing data engineering and warehousing initiatives on the Databricks platform. Architect and optimize production-scale ETL/ELT pipelines, performance-test workloads, migrate legacy systems to cloud lakehouse architectures, support Solution Architects in technical sales, and provide training, demos, and community contributions.