Top Tech Jobs & Startup Jobs in NYC, NY

Own mobile in-app integration onboarding and health, resolve complex technical escalations across platforms, APIs, reporting systems, and SDKs, and use SQL, Excel, and AI tools to analyze data, automate workflows, identify recurring issues, and improve operational efficiency. Partner cross-functionally with Account Management, Product, and Engineering while communicating root causes and driving resolutions.

Supports media planners, sales teams, and demand teams in developing online video and display advertising proposals. Responsibilities include analyzing opportunities, creating media plans, conducting post-campaign analysis, recommending creative solutions, coordinating with external vendors, leading cross-departmental communications, and assisting with large-scale initiatives.

Support go-to-market strategy and execution for Magnite products (primarily DV+). Create sales enablement materials, develop messaging and positioning, drive cross-functional alignment with Product, Sales, and Marketing, and translate technical features into clear value-led narratives.

Own and execute Magnite’s mobile in-app advertising product strategy for the DV+ platform. Lead mobile initiatives, SDK integrations, product prioritization, customer and partner feedback, cross-functional delivery, documentation, go-to-market activities, and adoption. Serve as the internal mobile advertising subject matter expert while using data and AI tools to develop scalable solutions and improve operational efficiency.

Manage technical escalations for the DV+ platform, analyze large datasets with SQL and Excel, leverage AI tools to automate workflows, troubleshoot complex integrations and APIs, and coordinate cross-functional teams to drive scalable operational solutions.

Manages technical escalations for Magnite’s DV+ programmatic advertising platform. Queries large datasets with SQL, troubleshoots issues across systems, APIs, reporting pipelines, and integrations, and applies AI tools to automate workflows and improve efficiency. The role coordinates with Product, Engineering, Account Management, Technical Operations, and external partners while documenting solutions, diagnosing root causes, and driving ambiguous issues to resolution.

Develop large-scale distributed systems and high-performance, low-latency software for ad traffic optimization. Apply mathematical algorithms and large-scale data analysis to maximize throughput, improve traffic prioritization, and reduce infrastructure costs. Own the full software development lifecycle, participate in production support and on-call rotations, and collaborate on technical tradeoffs. The role uses Rust, Scala, Spark, Kafka, Kubernetes, and cloud deployment tooling in a hybrid Boston or New York City environment.

Develop revenue, yield, and business intelligence analyses; build scalable SQL- and Python-based solutions; create and maintain Tableau dashboards; conduct statistical analyses, discrepancy checks, and A/B testing; identify business opportunities; and communicate actionable insights to stakeholders across sales, account management, publisher, DSP, agency, and executive teams.

Manages and grows a portfolio of ad-serving clients by driving revenue, upselling SpringServe tools, onboarding and training clients, and optimizing yield. Builds consultative relationships across the CTV ad tech ecosystem, leads strategic business reviews, captures product needs, coordinates cross-functional execution, and tracks account activity in Salesforce. The role requires strong presentation, communication, organizational, problem-solving, sales, and relationship-management skills.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.