Top Tech Jobs & Startup Jobs in NYC, NY

Own strategy and execution for patient discovery, acquisition, and reactivation across web and mobile. Partner with engineering, design, marketing, and sales to optimize existing channels and test new scalable channels. Define success metrics (signup conversion, channel efficiency, reactivation) and drive experiments to improve onboarding and growth.

The Product Manager will oversee the UI and user experience of the Measurement platform, bridging internal processes and client accessibility. Responsibilities include improving workflows, enhancing client interfaces, and collaborating with cross-functional teams to optimize the product experience.

The Senior Manager, Commercial Strategy - Payment Performance will lead commercialization efforts for Adyen's offerings, focusing on customer insights, product prioritization, and go-to-market strategies to drive adoption and value creation.

As a Product Marketing Manager, you'll enable SaaS Platform partners to drive customer adoption by bridging product knowledge with client needs, creating content, and leading product launches.

Manage third-party warehouse operations, optimizing supply chain processes and improving performance metrics. Collaborate with various teams to ensure smooth goods flow and compliance.

The AI Platform Engineer Director will design and maintain scalable AI platforms, manage Kubernetes clusters, and ensure compliance across cloud services.

Lead BlackRock's ServiceNow capabilities, driving technical strategy, architecture, and team development. Integrate AI and automation into platform for operational excellence.

The VP, Snowflake Data Architect will design and implement enterprise data warehouse solutions, ensuring compliance and enabling strategic decision-making across various domains at BlackRock.

The Lending Operations Lead manages loan processing, ensures accurate lender matching, and collaborates with internal teams and partners to optimize operations.

The Account Executive will promote specialty product sales, collaborate with brokers, develop strategies, and deliver presentations to achieve health plan market sales goals and increase enrollment.

The Oncology Clinical Development Scientist will oversee clinical trials, ensuring data integrity and quality while collaborating with clinical teams to achieve successful outcomes in oncology research.

The Director of AI Engineering leads AI transformation in Vaccine R&D Operations by designing solutions for process automation, decision support, and model governance. Responsibilities include developing predictive models, optimizing workflows, and building production-grade AI platforms while collaborating across teams.

The Medical Director leads late-phase clinical trials in Hematology, ensuring compliance with standards and guiding the clinical operations team while collaborating with various departments and stakeholders.

Develop foundational systems for Kepler's AI platform, including building execution infrastructure, evaluation systems, and integrating AI into production environments. The role requires strong backend engineering skills and experience in AI/ML systems.

As a Forward Deployed Engineer, you'll customize and optimize AI solutions at client sites, engaging directly with financial firms to drive product innovation and improve research workflows.

You'll architect and build core systems for Kepler's AI platform, manage backend services, mentor engineers, and drive technical decisions.

Lead the architecture and operation of Managed databases for AI workloads, ensuring high-scale, low-latency solutions while mentoring teams on best practices.

Seeking a Senior Engineer for Network Observability to design, develop, and maintain monitoring systems for CoreWeave's GPU cloud network performance, leveraging Python and Golang for advanced observability solutions.

The Senior Production Engineer will lead the engineering of reliable systems for cloud operations, focusing on architecture, automation, and incident response.

The Computational Materials Scientist will perform molecular simulations, develop Python and Bash scripts, and collaborate across teams to implement solutions in materials science.

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