Top Tech Jobs & Startup Jobs in NYC, NY

Work with large datasets to ensure data quality, automate analytics workflows, and produce reliable, consumable insights. Investigate data behavior, communicate findings to technical and non-technical stakeholders, partner with engineering and product teams, and implement automation and AI-assisted tooling to improve accuracy and efficiency.

Build and productionize generative AI agents and LLM services (APIs, RAG pipelines, evaluation), instrument observability, integrate agents with internal and third-party systems, optimize for latency/cost, enable self-service data access, and collaborate cross-functionally in an agile environment.

The Sr. DevSecOps Engineer implements DevOps practices focusing on security, manages CI/CD pipelines, and collaborates with teams to ensure compliance and operational excellence.

Design, implement, and optimize scalable backend software solutions. Collaborate with team members and uphold coding standards while troubleshooting and maintaining software performance.

Design and maintain scalable web applications as a Full Stack Software Engineer, focusing on both frontend and backend development within the advertising technology space.

The HR Business Partner will provide support in coaching, employee relations, organizational planning, and talent development across teams, ensuring alignment with business goals while promoting employee growth.

The Product Manager will define and execute product strategy for Ad Tech solutions, collaborating with cross-functional teams to enhance efficiency and drive revenue growth.

This role involves leading quality assurance initiatives, designing test plans for complex scenarios, and mentoring team members to enhance testing practices across product development.

The Software Engineer II will design, build, and maintain robust data pipelines for advertising systems, focusing on data governance and compliance, collaborating globally, and troubleshooting distributed environments.

Design, build, and maintain large-scale data platforms, pipelines, and warehouses to power reporting, analytics, and AI-driven solutions. Develop agentic AI applications and backend services, improve frontend dashboards occasionally, enforce data governance and testing, mentor junior engineers, and collaborate cross-functionally to optimize performance and reliability.