You will lead a senior team in building and scaling the B2B data graph strategy, integrating classical machine learning with LLM and agentic systems. This role involves hands-on coding, setting technical standards, and managing inference costs, latency, and model quality.
You will own end-to-end research and development projects, translating complex business questions into well-defined data science problems. This involves designing predictive models, implementing production-ready data pipelines, and communicating actionable insights to cross-functional stakeholders.
You will own the end-to-end lifecycle of vertical datasets, including development, platform delivery, and commercialization strategies. You will also work directly with sales and strategic customers to shape product offerings and drive revenue growth.
The Principal Product Manager will own the end-to-end strategy for person data, driving the transition from rule-based selection to agent-adjudicated inference models. They will build and manage the AI evaluation engine to ensure data accuracy, coverage, and compliance across the platform.
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 build and optimize high-throughput Java backend systems to process massive volumes of fragmented data into reliable contact profiles. You will also collaborate with data science and engineering teams to improve entity resolution, data quality, and system scalability.
You will lead a team of senior engineers to manage and scale ZoomInfo's core operational and analytical data platforms. This role involves setting technical strategy, ensuring system reliability, and driving data onboarding velocity while maintaining compliance with privacy regulations.
The Senior Director will define and execute the GRC roadmap while managing enterprise risk and ensuring continuous compliance with international security frameworks. They will also lead a global team to implement AI-driven automation and act as a liaison between security, legal, and product departments.
You will design and maintain high-performance data pipelines and architect scalable data warehouse solutions to support enterprise-level AI and data infrastructure. Additionally, you will participate in on-call rotations to ensure production reliability and mentor junior engineers on best practices.
You will own a growth portfolio end-to-end, defining the multi-quarter thesis and setting the operating rhythm for experimentation across the team. You are responsible for driving user experience, monetization mechanics, and cross-functional orchestration to convert visitors into revenue.
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 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.
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.
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.
