You will design and build polished, responsive UI components and data visualization experiences for the Conversation Intelligence platform. Additionally, you will contribute to backend REST APIs and collaborate with designers and product managers to execute frontend architecture.
You will design and build high-performance distributed systems and APIs that process billions of behavioral events in real time. Additionally, you will leverage machine learning and LLMs to extract signals and build intelligent agents to power user-facing insights.
You will lead the strategy, architecture, and execution of a modern data platform while managing and mentoring a team of data platform engineers. The role involves overseeing the development of scalable data pipelines, establishing engineering standards, and partnering with cross-functional teams to support analytics and AI initiatives.
You will architect and implement scalable infrastructure for a unified data platform, including GraphQL-based federated query systems and real-time analytics pipelines. Additionally, you will mentor engineering teams, define technical roadmaps, and ensure system reliability and performance at scale.
You will design and implement scalable, fault-tolerant web crawling and data extraction pipelines to process massive volumes of web data. Additionally, you will operate ETL/ELT systems and collaborate with product and data science teams to deliver high-impact engineering solutions.
You will design, build, and maintain CI/CD infrastructure, including self-hosted GitHub Actions runners and ArgoCD deployments on GKE. Additionally, you will lead platform projects, ensure operational reliability through observability and incident response, and collaborate with global teams to provide self-service tooling.
Design and implement platform patterns while providing architectural stewardship for cloud infrastructure and data domains. Enable R&D teams through self-service patterns, design reviews, and the definition of technology lifecycles.
You will design and develop microservices for the Backstage platform while managing the catalog and ingestion pipeline. Additionally, you will integrate LLM-powered services and ensure operational excellence through monitoring and incident response.
You will own and evolve production GitOps deployment APIs and CLI tools while maintaining self-service infrastructure on GCP. Additionally, you will design complex workflows using durable execution frameworks and implement Agentic AI solutions to automate infrastructure configurations.
The Senior Product Manager will own features across audience building, AI enrichment, and AI orchestration within the GTM Studio platform. They will drive the product roadmap while bridging data and applications to support revenue operators.
Lead end-to-end technical engagements for strategic accounts by designing and deploying bespoke intelligence applications. Bridge the gap between technical data engineering and business stakeholders to drive data consumption and growth.
Partner with Account Managers to identify and close expansion opportunities within existing accounts using AI-powered GTM solutions. Manage the full sales cycle from discovery and product demos to closing six-figure deals.
Lead the transformation of ZoomInfo's apps by building AI-native products and autonomous workflows for go-to-market teams. Define the strategic vision and roadmap while collaborating with engineering and design teams to ship intelligent user experiences.
Lead the transformation of ZoomInfo's apps by building AI-native products and autonomous workflows for go-to-market teams. Drive the full product lifecycle from ideation to launch while aligning stakeholders and measuring AI-centric success metrics.
Own full-stack features from design to production for the Mesh AI platform, including backend APIs and cloud infrastructure. Build core platform capabilities such as AI agents, orchestration workflows, and developer SDKs while mentoring other engineers.
Build and scale large-scale recommendation systems and advanced NLP embedding models to enhance data intelligence. Architect MLOps/LLMOps infrastructure and design agentic workflows for automated web extraction and entity resolution.
The Senior Product Manager will own the product strategy and roadmap for identity resolution, focusing on defining vision and success metrics to drive measurable improvements in match rates and customer value. This involves delivering measurable performance improvements through rigorous prioritization, rapid experimentation, and resolving data quality issues impacting resolution accuracy.
Manage the complete onboarding process for all ZoomInfo customers, ensuring a smooth and timely implementation experience. Serve as the primary point of contact, coordinating with cross-functional teams to align goals, timelines, and deliverables.
