ZoomInfo jobs

Senior Software Engineer role on ZoomInfo's API & MCP Platform team, responsible for designing and scaling API infrastructure handling millions of weekly calls, including OAuth 2.0, MCP implementation, and high-performance APIs using Java and NestJS. Located in Bethesda, Maryland or Waltham, Massachusetts (on-site); no salary or equity information provided.

Senior Software Engineer - Platform Integrations at ZoomInfo, designing scalable backend services for workflow orchestration and event-driven processing using Temporal, Kafka, Java (Spring Boot), and Node.js (NestJS), handling millions of events across ZoomInfo's ecosystem. On-site in Bethesda, Maryland; no salary information provided.

Senior Product Manager, AI Data Foundation at ZoomInfo responsible for data quality monitoring platforms, self-service reporting, and internal tooling strategy. Requires 5+ years product management experience, focus on data products and AI/ML capabilities, stakeholder management, and roadmap ownership. Based in Waltham, Massachusetts (office location).

Senior Software Engineer at ZoomInfo, a NASDAQ-listed Go-To-Market Intelligence Platform used by 35,000+ companies. You'll design and maintain high-quality backend services handling millions of daily requests and process vast datasets, working with distributed SQL/NoSQL databases, RESTful APIs, message queues, and LLM integrations. The role requires 7+ years of backend development experience with proficiency in languages like Java, Node.js, or Python, strong RDBMS and NoSQL expertise, hands-on LLM/GenAI experience, and proven ability to mentor junior engineers and deliver independently on tight timelines. This is a hybrid position that expects you to work with modern cloud infrastructure, containerization tools, and stay current with industry trends. A standout requirement is mandatory hands-on experience integrating with LLM services in production, including prompt engineering and validation of AI-generated outputs like SQL queries before execution.

Forward Deployed Data Engineer at ZoomInfo (B2B data intelligence platform), remote US-based. Embeds with strategic enterprise accounts to design and deliver bespoke intelligence applications combining ZoomInfo's proprietary data (500M+ professional profiles, 100M+ company records) with customer first-party data. Owns engagements end-to-end: discovery, design, executive presentation, production code. Typical work includes entity resolution at scale, hierarchy management, location-level precision, and automated logic orchestration. Tech stack not specified but involves data warehouse and customer production environments.

This is a Finance Systems & AI Lead role at ZoomInfo, sitting within the finance function to own and evolve their FP&A tech stack centered on Microsoft Fabric and internal AI platform. You'll architect governance and infrastructure for their financial systems, design agentic workflows and AI-integrated tools that automate reporting and forecasting, maintain dimensional data models in Fabric/Snowflake with SQL, and enable the FP&A team to shift from maintenance to insight work. Required skills include 4–6 years blending finance systems, data engineering, and AI/ML; hands-on SQL/DAX; Microsoft Fabric or Snowflake expertise; production experience building with LLMs including agentic frameworks; Power BI semantic modeling; and fluency in FP&A platforms like Anaplan or Pigment. ZoomInfo is a public company (NASDAQ: GTM) with a $77,630–$121,990 USD base salary range plus bonus, equity, and benefits; the role is hybrid. Stand-out detail: this requires daily, active use of AI tools (Claude Code, ChatGPT, Cursor) as part of your professional workflow, plus shipped agentic workflows in production—not theoretical AI knowledge.

Senior Data Engineer at ZoomInfo responsible for ETL pipelines, semantic modeling, and data infrastructure for cross-functional initiatives. Requires dbt, Airflow, Snowflake, Fivetran expertise and Terraform infrastructure management. Based in Toronto, Canada.

ZoomInfo is hiring a Principal Software Engineer to lead the design and development of their customer-facing GraphQL API platform, which exposes the company's industry-leading B2B GTM data assets to enterprise customers and partners. In this high-impact individual contributor leadership role, you'll architect end-to-end GraphQL APIs, define schema standards, work with product and data teams to expose data through queryable surfaces, implement API security controls, maintain production reliability through CI/CD and observability tools, and mentor senior engineers. The ideal candidate has 8+ years of software engineering experience with deep GraphQL expertise (schema design, resolvers, federation, performance optimization), strong Node.js and TypeScript skills, Go experience for backend work, proven experience securing customer-facing APIs with OAuth 2.0 and fine-grained authorization, familiarity with large-scale data systems like BigTable or BigQuery, and clear communication skills. ZoomInfo is a NASDAQ-listed Go-To-Market Intelligence Platform serving 35,000+ companies globally, offering comprehensive benefits and holistic wellness programs. The role offers a US base salary of $163,800–$257,400 depending on location and qualifications, plus potential bonus, commission, and equity. This is a hybrid position, and prior experience owning a developer-facing API platform at a SaaS or data company is highly valued.

Senior Full Stack Engineer on ZoomInfo's Conversation Intelligence team (Chorus.ai), focusing on building customer-facing features for a platform that processes and analyzes sales calls to surface insights for data-driven sales teams. You'll own product areas across the full stack—from AI-powered tools to data visualizations and APIs—designing and delivering features that handle millions of requests daily, while providing technical leadership through code reviews and architectural contributions. Required experience includes 5–10 years building production web applications, strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) as your primary discipline, hands-on work with relational and NoSQL databases, familiarity with search technologies like Elasticsearch, and RESTful API design experience; willingness to learn the other side of the stack is essential. ZoomInfo is a public company (NASDAQ: GTM) with 35,000+ customers; the role is remote and offers competitive compensation of $161,360–$242,040 USD plus bonus, commission, and equity. This is a customer-facing role requiring end-to-end ownership and strong interpersonal skills, with emphasis on scale and working alongside talented engineers on ambitious goals.

ZoomInfo is hiring a Senior Product Manager to own the core product experience for Mesh, their internal-turned-commercial AI platform that 2,700+ employees use daily across conversational AI, agent builders, no-code microapps, and enterprise integrations. You'll own the chat interface, agent platform, microapps SDK, tooling layer, and dashboards—essentially building the product that IS the AI platform rather than bolting AI features onto existing infrastructure. Key responsibilities include defining the product roadmap for chat and agents, evolving the agent creation experience for 6,600+ deployed agents, shaping analytics and dashboards for transparency, and managing the tool ecosystem while serving as the voice of 10 different departments (Sales, CS, Engineering, RevOps, etc.). Required experience includes 6+ years of product management with at least 2 years on AI/ML products, 1 year on internal platforms, proven track record shipping to daily users, SQL/data literacy, and fluency with enterprise software—plus comfort with technical concepts like agents and tool-calling. The role is hybrid at ZoomInfo (NASDAQ: GTM), a Go-To-Market Intelligence Platform, with a base salary of $126k–$198k plus bonus, equity, and comprehensive benefits. A notable detail: this is a high-velocity role requiring bias toward shipping and comfort with weekly AI landscape changes, so you need to thrive in ambiguity and validate ideas through real usage rather than perfect planning.