Top Tech Jobs & Startup Jobs in NYC, NY

Act as a technical advisor for enterprise customers, lead complex pre-sales cycles (discovery, PoCs, demos, proposals), design integrations and architectures, handle security/compliance/procurement during deals, collaborate with Product/Engineering/Legal/CS, and support onboarding and expansion to drive adoption and upsell.

Own and define IAM strategy for corporate and production environments. Migrate Okta to Terraform, design least-privilege access, automate provisioning/deprovisioning and access reviews, build/manage MDM/MAM tooling, partner with platform and engineering teams, and serve as the IAM subject matter expert across Security, IT, and Engineering.

The Staff Technical Product Manager will own the product roadmap for Global Defense, design AI products, collaborate with engineers, and understand defense workflows to drive product outcomes.

The role involves driving revenue growth, managing partnerships, and consulting with senior executives to tailor solutions, requiring 7+ years in B2B SaaS sales, primarily in the enterprise market.

As a Customer Deployment Engineer, you will build customer POCs, enhance onboarding processes, and advocate for user needs within the company.

Build and maintain a cloud-native, high-SLA Alpha Platform for pre-trade analytics, risk, hedging, and portfolio optimization. Work across full stack from data ingestion and processing to AI-driven analytics and client APIs. Drive system design, own features end-to-end, mentor peers, and promote engineering standards, observability, and CI/CD best practices.

The Staff Product Engineer will set architectural direction for new AI-based developer tools, drive product development, mentor engineers, and ensure reliability and performance of production outcomes.

The Senior Presales Consultant will engage in enterprise technology sales, tailoring payment solutions, conducting demos, and collaborating with teams to achieve growth objectives.

The Event Marketing Manager will plan and execute a portfolio of events, manage logistics, drive attendance, and collaborate with multiple teams to enhance event success.

Develop scalable ML platform infrastructure, support ML training and deployment, collaborate on software tools for scientists, and enhance workflows and automation.