ZoomInfo

Lead enterprise data platform and engineering teams to drive infrastructure, pipeline, and tooling strategy and execution. | 10+ years in data engineering leadership with experience managing large teams and modern data stack technologies. | ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. We are looking for a Senior Director, Data Platform & Engineering to lead the Enterprise Data Platform and Enterprise Data Engineering functions within our Engineering & Innovation organization. This is a high-impact, high-visibility leadership role responsible for the infrastructure, pipelines, and tooling that power ZoomInfo's internal data ecosystem — serving stakeholders across Marketing, Finance, Product, Sales, HR, and Customer Success. You will lead a team of approximately 30 engineers and contractors across two pillars: • Enterprise Data Platform — owning Snowflake, cloud infrastructure (AWS and GCP), data lake architecture, ingestion frameworks, observability tooling, and security posture. • Enterprise Data Engineering — owning pipeline development (Airflow, Fivetran), data modeling (dbt, semantic models), shift-left enablement, and AI-driven tooling for data practitioners. This role sits at the intersection of infrastructure, engineering, and analytics enablement. You will set the strategic direction, drive platform modernization, and build the organizational systems that allow domain teams across ZoomInfo to own, trust, and act on their data. You will do this through two experienced Directors who bring deep technical expertise — your job is to provide the vision, remove obstacles, and ensure the work connects to business outcomes. What You'll Do Strategic Leadership & Team Development: • Lead and develop two Director-level managers and their respective teams spanning data platform engineering, data pipeline development, and practitioner enablement. • Set the multi-quarter roadmap for the Enterprise Data Platform and Engineering organizations, balancing infrastructure modernization, operational stability, security, and enablement priorities. • Build a high-performance engineering culture grounded in ownership, accountability, and operational excellence. • Drive headcount planning, organizational design, and career development frameworks that attract and retain top talent across a distributed team. • Serve as a trusted partner to the VP of Engineering & Innovation, contributing to broader engineering strategy and organizational decisions. • Establish clear prioritization frameworks to manage competing demands from security, infrastructure modernization, platform stability, and practitioner tooling. Platform Strategy & Infrastructure Modernization: • Own the strategic direction for ZoomInfo's core data infrastructure, including Snowflake, Airflow, Fivetran, AWS, and GCP — partnering with the Director of Data Platform on architecture and execution. • Guide the design and buildout of an Iceberg-based GCS Data Lake as the foundation for scalable, cost-efficient storage, including governance, observability, and ingestion patterns. • Oversee cloud infrastructure consolidation to GCP, including Airflow 3.x upgrades, service migrations, and deprecation of legacy environments. • Drive SaaS vendor strategy and cost optimization — evaluating build-vs-buy decisions for ingestion (Fivetran/Airbyte), cost management, and other platform tooling. • Oversee monorepo consolidation and CI/CD standardization to enable consistent governance and accelerate deployment velocity. • Ensure the platform team maintains a strong security posture including service account modernization, key rotation, legacy role decommissioning, access reviews, and incident response readiness. Data Engineering & Pipeline Operations • Oversee the development, reliability, and monitoring of all enterprise data pipelines powering analytics, reporting, and operational workflows — partnering with the Director of Data Engineering on execution and quality. • Guide the evolution of data modeling practices through dbt and semantic models, ensuring data products are trusted, documented, and well-tested. • Champion the shift-left initiative, enabling product and engineering domain teams to own their data assets end-to-end while maintaining quality and standards. • Support the development of AI-assisted tooling (agents and micro apps) that automate data engineering workflows — from ingestion and modeling to deployment and monitoring. • Drive platform-wide data standards alignment for metadata, ownership, testing, and documentation — ensuring remediation of priority assets and retirement of low-value ones. • Oversee the buildout of centralized observability for certified metrics, including compliance monitoring, alerting, and automated routing of quality failures to asset owners. Cross-Functional Partnership & Enablement: • Serve as the primary data infrastructure and engineering point of contact for leaders across Marketing, Finance, Product, Sales, and HR — translating business needs into platform capabilities. • Partner with cross-functional stakeholders to define metrics, analytics requirements, and data delivery expectations that inform business strategy. • Drive enablement programs — documentation, training, office hours, and onboarding — to accelerate adoption of self-service data tools and standards across the organization. • Represent the data platform and engineering organization in strategic planning conversations, company projects, and technology decisions that have data implications. • Manage vendor relationships and contracts, negotiating strategically to optimize cost, capability, and long-term flexibility. What You Bring Required: • 10+ years of progressive experience in data engineering, data platform, analytics, or related technical leadership roles, with at least 4 years at the Director level or above. • Experience leading and scaling data organizations of 15+ people, with a track record of building high-performing teams and developing talent. • Strong working knowledge of modern data stack technologies including Snowflake, dbt, Airflow, and cloud platforms (AWS and/or GCP). You do not need to be the deepest technical expert — but you need to understand architecture trade-offs, ask the right questions, and make informed strategic decisions. • Experience driving platform modernization initiatives — whether cloud migrations, tool consolidation, vendor transitions, or infrastructure redesigns. • Demonstrated ability to manage through managers — setting direction, aligning priorities, and holding leaders accountable for outcomes without micromanaging execution. • Proven cross-functional partnership skills with business stakeholders (Marketing, Finance, Sales, Product, HR) — translating ambiguous business needs into structured data solutions. • Experience building self-service analytics capabilities and enablement programs that reduce dependency on central engineering teams. • Strong vendor management experience including contract negotiations, build-vs-buy evaluations, and SaaS cost optimization. • Excellent communication skills — able to present strategy, trade-offs, and progress to executive leadership in both written and verbal formats. • Experience operating in fast-paced, high-growth, or transformation environments where priorities shift and adaptability is essential. Preferred: • Familiarity with infrastructure-as-code practices (Terraform), CI/CD pipelines, and monorepo strategies. • Experience with data lake architectures (Iceberg, Parquet) and multi-cloud environments. • Exposure to data ingestion frameworks at scale (Fivetran, Airbyte, custom connectors) and reverse ETL patterns. • Familiarity with AI/ML-driven automation for data engineering workflows, including LLM-assisted tooling, agents, or semantic modeling frameworks. • Background in security and compliance within data environments — RBAC, key rotation, masking, HIPAA, or SOC2. • Experience with data cataloging and lineage tools (OpenMetadata, DataHub, or similar). • Experience with shift-left or data mesh operating models where domain teams own their data end-to-end. • Exposure to BI platform management and modernization (Looker, Tableau, or emerging AI-driven visualization approaches). What Sets You Apart • You lead through people. Your strongest technical asset is your ability to hire, develop, and empower exceptional leaders — and then get out of their way. • You connect technology to business outcomes. You see infrastructure investments not as technical projects but as enablers of speed, trust, and better decisions across the company. • You are a systems thinker. You see the connections between platform architecture, team structure, process design, and stakeholder experience — and you optimize across all four. • You are decisive under ambiguity. Competing priorities, legacy systems, organizational change, and imperfect information don't paralyze you — they sharpen your focus. • You balance vision with pragmatism. You can articulate a bold multi-year direction and then break it into quarterly deliverables your teams can execute with confidence. • You build bridges. Engineering, analytics, security, and business teams all see you as someone who understands their world and advocates for shared outcomes. How We Work • Be Relentless. We outpace and outcompete. We are smart, clever, and resourceful in everything we do. • Be Entrepreneurs. We hustle, move fast, take ownership, and make decisions. We are accountable and resilient. • Be Experts. We understand our customers deeply and demand domain expertise from everyone. • Be Innovators. We innovate not just in product, but in how we operate — driving outcomes no one thought were possible. • Be a Team. We are one team, working together to win. We collaborate and lean in to help each other. #LI-JH1 #LI-Remote Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $231,000—$363,000 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Lead end-to-end product strategy and execution for company data to improve quality, coverage, and customer value. | 8+ years in product management with focus on data products, strong technical and analytical skills, and B2B SaaS experience. | ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. ZoomInfo is seeking a Principal Product Manager, Company Data to lead our company data strategy and execution, focusing on delivering our next generation company/account data creation pipeline. In this role, you'll own end-to-end product strategy for company data that serves millions of users and drives billions in revenue, working at the intersection of data science, large-scale data processing, and customer-facing experiences. The Principal PM, Company Data will define multi-year vision while delivering measurable improvements month-over-month. This role is critical to maintaining ZoomInfo's competitive advantage in company intelligence by continuously raising the bar on data quality, coverage, and customer value. What You'll Do (Essential Functions) • Own end-to-end product strategy for company data, defining vision, roadmap, and success metrics aligned with company objectives • Identify and prioritize high-impact opportunities that improve company data quality, expand coverage, or unlock new customer use cases • Drive new data source integration for company attributes, including evaluation, negotiation, and productization of 3rd party partnerships • Build scalable frameworks for company data enhancement, quality monitoring, and continuous improvement including resolution of critical data quality issues • Define and track metrics that measure company data coverage, accuracy, freshness, and customer adoption • Partner with engineering and data science to solve complex technical problems in company matching, hierarchies, entity resolution, and data pipelines • Lead product discovery initiatives using customer interviews and data analysis to uncover true customer pain points beyond surface-level feedback • Create comprehensive documentation, enablement materials, and objection handling frameworks that enable internal and customer-facing teams to understand and communicate company data value • Lead go-to-market initiatives, partnering with product marketing and sales to position, message, and monetize company data improvements What You Bring Required Qualifications • 8+ years of product management experience with at least 4+ years focused on data products, data platforms, or data-intensive B2B SaaS • Proven track record of shipping impactful data products that improve quality, expand coverage, or unlock new use cases • Deep technical understanding of data pipelines, data quality frameworks, entity resolution, data modeling, and/or machine learning applications • Strong understanding of company data, firmographics, hierarchies, and business intelligence domains • Cross-functional leadership with proven ability to influence engineering, data science, operations, and GTM teams without formal authority • Strong analytical skills with ability to independently define metrics, analyze data, and make data-driven decisions • Excellent communication skills with ability to explain complex technical concepts to diverse audiences and develop comprehensive documentation • B2B SaaS experience, preferably in enterprise data products, APIs, or data-as-a-service offerings Preferred Qualifications • Background in data science, engineering, or analytics prior to product management • Experience in high-scale data processing environments (billions of records, complex entity resolution) • Familiarity with DaaS platforms, data marketplaces, customer enablement, or technical documentation • Knowledge of data privacy regulations (GDPR, CCPA) and their product implications #LI-VC1 #LI-Hybrid Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $151,900—$238,700 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Design and implement scalable web crawling and data extraction systems with a focus on reliability and operational excellence. | 5+ years software engineering experience with strong CS fundamentals, proficiency in Java/Python, cloud and distributed systems experience, and strong communication skills. | ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. The Opportunity We're looking for a Senior Software Engineer to join our Web Data team and help build the next generation of ZoomInfo's web crawling and data extraction infrastructure. This is a hands-on engineering role with high impact. You'll work alongside experienced engineers building large-scale crawling and extraction systems that process billions of pages. Your day-to-day will involve solving real distributed systems problems, writing production code, and shipping features that directly impact data quality across the platform. You'll partner with a dedicated people manager who handles HR and administrative responsibilities, a product manager who connects business needs with technical work, and a senior manager who removes roadblocks and supports career growth. Your focus is on engineering execution, technical excellence, and collaboration. What You'll Do As a Senior Software Engineer, you'll contribute to enterprise-scale crawling and extraction platforms that process massive volumes of web data. You will: • Design and implement components of scalable, fault-tolerant web crawling and extraction pipelines • Write clean, production-grade code in Java and Python • Build and operate ETL/ELT pipelines for large-scale data extraction and transformation • Work with cloud infrastructure on GCP and AWS, primarily on GKE • Improve observability, reliability, and operational excellence across the systems you contribute to • Partner with product and data science teams to deliver impactful solutions • Contribute to code reviews, documentation, and knowledge sharing across the team • Stay current with evolving web technologies, anti-crawling mechanisms, and AI-powered extraction approaches Must-Have Qualifications We're prioritizing strong software engineering fundamentals over deep crawling-specific experience. The right candidate is a great engineer first; the domain can be learned on the team. Software Engineering Fundamentals • 5+ years of professional software engineering experience building production systems • Strong CS fundamentals: algorithms, data structures, concurrency, distributed systems • Proficiency in Java and/or Python • Track record of owning features end-to-end from design through deployment and operation • Comfortable making sound architectural decisions at the component level Data Engineering • Hands-on experience with cloud data warehouses such as BigQuery or Snowflake • Experience designing and operating large-scale ETL/ELT pipelines • Experience with orchestration tools such as Apache Airflow • Experience with streaming or event-driven systems such as Apache Kafka Cloud and Infrastructure • Production experience on GCP (preferred) or AWS; multi-cloud exposure is a plus • Hands-on experience with Kubernetes (GKE/EKS) for distributed workloads • Familiarity with infrastructure-as-code tooling such as Terraform Background and Mindset • Strong communicator who can explain technical decisions clearly • Comfortable operating in ambiguity and iterating quickly • Bias toward action and pragmatic problem solving • Self-starter who thrives in fast-paced, evolving environments Nice to Have • Experience with web crawling at scale (Scrapy or similar frameworks) • Familiarity with proxy infrastructure, rotation strategies, or anti-bot evasion techniques • Experience in extracting structured and unstructured web data from diverse site architectures • Knowledge of SERP (Search Engine Results Page) extraction • Comfort with AI/LLM-based extraction approaches, applying language models to HTML at scale • Experience working in a B2B data company or data-as-a-product environment Core Technical Stack • Java and Python • Apache Kafka • GCP (BigQuery, GKE, Vertex AI) • Snowflake and Starburst/Trino • Terraform • Scrapy and web scraping frameworks • Proxy management systems • Distributed systems and Kubernetes • Apache Airflow • Large-scale ETL pipelines Ideal Profile • 5+ years of software engineering experience • Experience operating systems that process meaningful volumes of data • Strong CS fundamentals (algorithms, data structures, distributed systems) • Excellent communicator who can explain complex ideas to diverse audiences • Passion for solving hard problems and building elegant, scalable systems • Self-starter who thrives in fast-paced, evolving environments • Experience working in a B2B data company or data-as-a-product environment is a strong plus Why This Role Matters This role sits at the heart of ZoomInfo's data platform. You'll contribute to the infrastructure that powers our business intelligence products and help shape how web data acquisition is done at ZoomInfo, while working at a massive scale with cutting-edge technologies. You'll be joining at a pivotal moment: the team is growing, the ambition is high, and there's a real opportunity to make a lasting impact and grow into deeper technical leadership over time. #LI-AR2 #LI-REMOTE Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $140,000—$220,000 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Lead design, development, and deployment of AI solutions to transform finance processes, collaborating with finance and engineering teams and mentoring engineers. | 8+ years in data science or machine learning focused on finance, strong software engineering skills, knowledge of finance functions in SaaS, and ability to communicate AI concepts to executives. | ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. About The Role: • Enterprise Apps AI Center of Excellence (CoE) is a newly established team that operates with the agility of a startup to generate substantial value for Finance through Artificial Intelligence. • Going beyond simple efficiency improvements, we focus on building innovative AI solutions that unlock new capabilities and insights for the CFO & CRO organizations. Our mission is to transform processes, enhance strategic decision-making, and drive significant value using advanced AI applications. The team will be responsible for identifying, analyzing, developing, and deploying high-impact use cases. The ultimate goal is to empower the Office of CFO with cutting-edge AI, enabling more strategic and effective operations. • As the Senior Engineer, you will lead our team in conceptualizing, developing, and deploying impactful AI solutions that revolutionize finance processes. You will be accountable for the entire AI solution lifecycle – from ideation and requirements gathering to development, implementation, and ongoing support. This role involves leading a geographically diverse team located in the US and India. • Identify and POC efficiency opportunities for software development, software optimization / tech debt reduction, QA, UAT, Unit Testing, Regression Testing • A critical aspect of this position is influencing the Finance business unit regarding potential AI features within the SAP ecosystem, leveraging our internal innovations to shape future solution offerings. What you’ll do: • Design and implement scalable full-stack solutions that integrate with finance business applications. • Proactively research industry trends to identify and evaluate potential AI applications within finance operations. • Analyze Finance, Sales/Marketing processes specific to a SaaS company to identify areas for AI enhancement. • Partner closely with Finance and Accounting teams to produce reliable data inputs for month-end close, revenue analytics, and key financial metrics like ARR. • Determine the most critical and feasible AI use cases, considering technical requirements and data availability. • Clearly articulate the potential ROI and benefits of proposed AI solutions. • Develop compelling proposals that detail AI concepts, data-supported benefits, required resources, and the technical rationale. • Lead the development and testing of AI initiatives, providing expertise in data analysis, machine learning methodologies, experimental design, solution architecture, and success measurement. • Collaborate with technology, product, and data teams to seamlessly integrate validated AI solutions into existing finance workflows, clearly communicating technical details. • Provide technical leadership and mentorship to the engineering team, fostering a culture of innovation and continuous learning. • Utilize advanced statistical analysis and machine learning algorithms to address finance-related challenges and improve internal processes and strategies. Other Qualifications: • Knowledge of finance functions (Accounting, FP&A, Tax, Procurement) within a SaaS business model. Understands unique financial considerations for SaaS. • Solid understanding of statistical principles: hypothesis testing, regression analysis, time series forecasting, and other relevant techniques. • Comprehensive knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their model selection, training, evaluation, and deployment. • Understands data pipelines, data warehousing, and data governance for building and deploying ML models. • Stays updated on the latest AI research and its potential applications in finance. • Identifies strategic AI opportunities to improve finance functions. • Develops clear implementation plans for AI initiatives. • Quantifies potential financial benefits (ROI, cost reduction, efficiency gains) using data-driven forecasting. • Clearly and effectively communicates complex AI/ML concepts to both technical and non-technical stakeholders, including model logic and performance metrics. • Have a deep appreciation for data modeling, data correctness, integrity, and traceability, especially in regulated environments. • Understand common patterns in financial reconciliation, anomaly detection, and structured data modeling. • Enjoy partnering with Finance and Engineering stakeholders to translate operational requirements into clean, auditable datasets. What you bring: • Minimum of 8 years hands-on experience in efficiently driving data science or machine learning use cases, with a primary focus in the domain of finance and accounting. • Strong understanding of software development lifecycle (SDLC) and standard methodologies for coding, design, testing, and deployment. • Bachelor's or Master’s degree in Computer Science, Software Engineering, or in Statistics, Applied Mathematics, or an equivalent quantitative field. • Excellent technical, problem-solving, and communication skills. • Ability to analyze and resolve difficult technical issues quickly in a high-pressure environment. • Experience working and presenting proposals to executives in a clear and compelling way • Experience working with ERP applications like SAP, Workday, NetSuite is a plus Technical Skills • Strong proficiency in modern programming languages (e.g., Java, Python) and frameworks (e.g., React, Node.js). Exposure to integration platforms such Boomi • Strong Excel skills (required). Experience with SQL, Tableau, or other BI tools for extracting and visualizing data is a plus. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.: $124,950 USD - $196,350 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Lead and manage marketing campaigns and programs that drive brand awareness and customer engagement. | Experience in marketing leadership, campaign management, cross-functional collaboration, and data-driven strategy execution. | At ZoomInfo, we encourage creativity, value innovation, demand teamwork, expect accountability and cherish results. We value your take charge, take...