Top Tech Jobs & Startup Jobs in NYC, NY

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Leads strategic partnerships with cloud hyperscalers and neoclouds, negotiating bespoke commercial agreements and developing long-term growth opportunities. Collaborates with product, engineering, finance, sales, and marketing teams; builds executive relationships; creates data-driven business cases; influences product decisions; and establishes KPIs to measure partnership success. Requires extensive business development experience, cloud consumption-model expertise, strong analytical and presentation skills, and the ability to independently lead complex deals.

Own global accounts receivable month-end close, including subledger-to-GL reconciliations, AFDA/CECL modeling, accruals, reporting, and balance sheet integrity. Apply U.S. GAAP, maintain audit-ready workpapers and SOX controls, and partner cross-functionally across Order-to-Cash and Finance teams. Lead AI and automation adoption using Databricks and advanced analytics, while supporting SAP and other finance systems implementations. Drive scalable process improvements in a high-growth technology environment.

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.

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.