Top Tech Jobs & Startup Jobs in NYC, NY

Lead end-to-end UX/UI design including discovery, user research, problem framing, prototyping, and shipped features. Partner with PMs and engineers to define requirements, evolve a design system, and iterate post-launch. Advocate for user-centered solutions and leverage AI-assisted tools to accelerate design and handoff.

Lead a team of analysts and data scientists embedded in sales to build rigorous pilot analyses, create executive-ready business cases, expand consultative analytics across the partner lifecycle, and publish industry insights while coaching and scaling the Solutions Analytics function.

Own lifecycle communications strategy for prospects, build and optimize automated email journeys, execute campaigns end-to-end (copy, segmentation, QA, testing, launch), collaborate cross-functionally, use data to drive improvements in engagement and funnel progression, and act as the email marketing SME for best practices and deliverability.

Lead customer trust and security governance: oversee contract reviews, security questionnaires, and escalations; partner with Legal, Sales, Product, and Procurement; develop templates, policies, playbooks, metrics, and awareness programs; and apply automation and AI to scale workflows and reporting.

Provide executive support to two VPs in the CRO organization: manage complex multi-time-zone calendars, coordinate domestic and international travel, plan team events and off-sites, support recruiting and onboarding logistics, prepare and reconcile monthly expenses, provide backup coverage for other EA partners, and lead special projects to reduce operational friction across teams.

Own end-to-end administration of semiannual compensation processes and systems (Radford, Pave). Lead market benchmarking, pay reporting, equity and incentive analyses, and ad hoc compensation projects. Support compensation training, communications, and compliance to ensure competitive, equitable pay programs across supported geographies.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Develop and enhance backend systems, collaborate with teams for project execution, and improve engineering standards and processes.

The Senior Marketing Operations Manager will oversee the implementation of AI in marketing processes, manage AI projects, design governance frameworks, and foster adoption of AI capabilities across teams.

The Full-Stack Engineer will build and maintain applications, own features end-to-end, contribute to system design, and collaborate closely with product and design teams while improving system reliability and performance.

The Backend Engineer will design and maintain backend systems, contribute to system reliability and performance, and collaborate cross-functionally while taking ownership of projects.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

The Senior Client Partner will manage brand partnerships, lead deal cycles, develop custom packages, and ensure the successful execution of collaborations at Babylist.

Design, build, and operate Jellyfish's Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI.

Lead content strategy and execution across marketing, sales enablement, and partner education. Own SEO/AEO, editorial calendar, content-to-pipeline attribution, HubSpot email programs, social and webinar strategy, sales collateral, and customer testimonials while collaborating with cross-functional teams and a design agency.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.