Top Tech Jobs & Startup Jobs in NYC, NY

Own customer-facing AI and data engagements from discovery through production launch. Define business value, pilot MVPs, success criteria, and product requirements; prioritize engineering backlogs; lead technical discovery and architecture discussions; manage agile delivery, testing, security, performance, adoption, and stakeholder alignment. Partner with executives, sales, and engineers to deliver production-ready solutions and identify follow-on opportunities.

Lead customer-facing technical discovery, solution architecture, proofs of concept, platform demonstrations, and architecture reviews for data engineering, analytics, and machine learning workloads. Develop account-level technical strategies with Account Executives, explain competitive differentiation, and build reusable notebooks, accelerators, and reference architectures. The role requires hands-on coding, cloud data platform expertise, distributed systems knowledge, strong presentation skills, and technical customer leadership.

Senior legal counsel supporting international channel and partner programs for a high-growth technology company. Responsibilities include drafting and negotiating partner agreements, developing scalable channel models, assessing compliance risks across jurisdictions, advising on privacy, security, AI, and intellectual property issues, creating training, and collaborating with commercial, operations, compliance, and business teams.

Build and productionize customer-facing data and AI solutions on the Databricks Platform. Own architecture, design, implementation, deployment, and integration of data pipelines, distributed systems, ML/AI models, and applications. Guide enterprise customers, manage technical delivery, train stakeholders, resolve implementation issues, and create reusable frameworks. Collaborate with engineering, product, project management, support, and customer teams while traveling to customers approximately 20% of the time.

Manage strategic State and Local enterprise accounts across New York, balancing expansion of existing customers with new-logo acquisition. Responsibilities include complex sales cycles, executive presentations, pipeline and revenue growth, Salesforce forecasting, solution-based selling, customer satisfaction, and strategic resource prioritization. The role promotes Databricks’ cloud data platform and requires strong relationships with public-sector executives, system integrators, and regional agencies.

Strategic enterprise sales professional responsible for growing strategic financial services accounts, closing new and existing business, managing complex sales cycles, exceeding pipeline and revenue targets, and selling Databricks’ cloud data platform powered by Apache Spark. The role requires executive-level relationship building, solution-based selling, Salesforce forecasting, opportunity prioritization, and collaboration with customers and system integrators.

Develop customer engagement strategies, lead complex technical presales engagements, and architect data analytics solutions using the Databricks Data Intelligence Platform. Influence executives and stakeholders, guide proofs of concept and cloud integrations, coach junior Solutions Architects, and create customer-facing technical content. Lead workshops and community events while helping customers prioritize use cases, adopt the platform, and achieve long-term success. Travel may be required up to 30%.

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.

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.