Zoominfo

<div><p>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.</p></div><h2>Senior Applied AI Engineer, Entity Agents</h2>
<p>ZoomInfo | Product | Core Data</p>
<h2>About ZoomInfo</h2>
<p>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.</p>
<h2>The Opportunity</h2>
<p>ZoomInfo’s Core Data team builds the company and contact data behind the Go-To-Market Intelligence Platform: hundreds of millions of records, resolved to the right entity, kept accurate, and delivered to more than 35,000 customers.</p>
<p>The way that data is produced is changing. For years it came from deterministic pipelines: many sources, weighted and decayed, one winner per attribute. Core Data is now moving to AI-native data management, where an agent pursues the evidence for an entity, decides every attribute over all of it, and records why. The company and contact agents already exist as working, measured prototypes. What does not exist yet is the machinery that runs them at production volume, proves every version before it ships, and lets researchers and product managers operate them without an engineer in the loop.</p>
<p>We are hiring a Senior Applied AI Engineer to build and own that machinery. You will complete the entity-agent pipeline, build the evidence adapters behind a single envelope, run the benchmark and golden-gate system on a schedule, build the review and batch tooling the team operates, and carry the agents onto ZoomInfo’s Agentic Platform. You will work with the Principal AI Engineer who owns the benchmark harness and productionization, the product manager who owns evaluation and policy, and the company and person engineering teams that own the pipelines the agents feed. You will not be the only person who can do this work; you will be the second, so that neither of you is a single point of failure.</p>
<p>This is a role for someone who has shipped LLM systems in production with evaluations, builds platform for other people to operate, and can work inside a large-scale data pipeline. You should be as comfortable writing an adapter with a replayable store and a kill switch as you are reading a miss analysis with a product manager, and you should like that the prototype you take to production was built by a PM who commits code.</p>
<h2>What You’ll Do</h2>
<p><strong>Run the benchmark and golden-gate system.</strong> Move judge runs, golden-gate results, arms scorecards, and cost per record from a laptop to a scheduled system against staging. Every agent version is gated automatically, with variance and drift tracked per release. The evaluation product manager sets the thresholds; you make them enforceable.</p>
<p><strong>Complete the entity-agent pipeline.</strong> Build the stages that do not exist yet: enricher fan-out, location sets, and hierarchy batch files. Migrate the classifiers to the shared runner with the Principal AI Engineer so they run at production scale. Measure throughput and unit cost per stage on named cohorts, so the cost model comes from instrumentation rather than estimates.</p>
<p><strong>Build the evidence adapters.</strong> Registries, live web, mail-tenant signals, and external research vendors all sit behind one envelope with a replayable vendor store, measured lift per shape, a per-vendor kill switch, and at least two sources per shape. Vendors are swappable by design.</p>
<p><strong>Deploy onto the ZoomInfo Agentic Platform.</strong> Carry the company and contact agents through the production plan onto ZAP, build the ingest adapter side (envelope to match service and bulk intake), and keep a rollback path per version. Keep the DOH implementation and the platform implementation upgraded in lockstep, enforced by tooling.</p>
<p><strong>Make the loop self-service.</strong> Build the review queue, tagging tools, blast-radius viewer, and batch runners that researchers and product managers use without an engineer. Measure review yield and golden-record production.</p>
<p><strong>Keep the agent surfaces alive.</strong> Own the health and deployment of the company classifier, contact classifier, agents hub, and judge platform inside our internal tooling, so the team’s iteration cycle never waits on one person.</p>
<p><strong>Instrument everything.</strong> Cost per call, per row, per stage; quality per version; alerts before a human notices.</p>
<h2>What You’ll Bring</h2>
<ul>
<li>5+ years of software engineering experience, including at least 2 years shipping LLM-based systems to production: agent loops, tool use, retrieval, structured output, and the evaluation harness that proved them</li>
<li>Strong Python and TypeScript, and comfort across an API layer, a batch runner, and a small web UI for internal users</li>
<li>Experience building platform others operate: adapters, runners, queues, or internal tools designed for replay, idempotency, and observability</li>
<li>Working knowledge of data pipelines and entity resolution: how records move through ingestion, matching, and serving, and what a false merge costs versus a missed match</li>
<li>A track record of taking a prototype to production without losing what the prototype proved, treating test sets and benchmarks as the contract</li>
<li>Instrumentation by default: you know the cost and latency budget of every system you have shipped</li>
<li>Strong bias for action and the tenacity to find an endpoint owner, get a decision, and unblock a runner in a fast-moving, distributed organization</li>
</ul>
<p><strong>Preferred</strong></p>
<ul>
<li>Experience with B2B company or contact data, identity or registry data, or entity resolution at scale</li>
<li>Experience with Claude or comparable frontier models, agent frameworks, and eval harnesses</li>
<li>Experience deploying agents onto an internal agent platform or orchestration layer</li>
<li>Background at an AI-native startup, a forward-deployed or applied AI team, or a data infrastructure company</li>
</ul>
<h2>Who You Are</h2>
<p><strong>A builder who ships.</strong> You pick the boring technology when it wins and you would rather have a running adapter than a design doc.</p>
<p><strong>An evaluator by instinct.</strong> You do not release a version without a test set, a threshold, and a number for what it costs.</p>
<p><strong>A platform thinker.</strong> You build things that other people run, and you design for the day the vendor goes down.</p>
<p><strong>Comfortable in the data.</strong> You can read a pipeline, reason about matching, and explain why a wrong merge is worse than a missed one.</p>
<p><strong>Tenacious.</strong> ZoomInfo is fast, distributed, and messy. You go find the people you need and drive the work to done.</p>
<p><strong>One team.</strong> Honest, has the team’s back, celebrates wins and losses together.</p>
<h2>The Environment</h2>
<p>You report to the Senior Manager of Product for Core Data, with the Principal AI Engineer as your technical lead, and sit inside the Core and Global Data organization under the Chief Data Officer. Your day-to-day partners are the Principal AI Engineer, the product manager who owns evaluation and data policy, the Company and Person Data product managers, the research team that grades and rules, the agentic platform team, and company and person engineering. Expect interesting problems: how do you run a judge over a million records a day for cents, not dollars? How do you make a vendor replaceable without a rewrite? How do you let a researcher run a batch and rule on the misses without paging you?</p>
<h2>About ZoomInfo</h2>
<p>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.</p>
<p>ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs.</p><div><div><div><p>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.</p>
<p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a href="https://www.zoominfo.com/careers#benefits" target="_blank" rel="noopener noreferrer ugc">here</a>.</p></div><div>Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div><div><span>$171,500</span><span>—</span><span>$269,500 USD</span></div></div></div><div><p><strong>About us:</strong> </p>
<p>ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.</p>
<p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a> for more details on how we handle your personal information.</p>
<p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
<p>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.</p>
<p>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.</p></div>

Principal Applied AI Engineer - Entity Agents

<div><p>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.</p></div><p> </p>
<p>We are seeking a passionate and tech-savvy <strong>Software Engineer III</strong> to join our <em><strong>Entity Resolution</strong></em> team. The entity resolution team is a critical core team of our organization, responsible for managing and maintaining the entity resolution and matching services that power both internal and our customer-facing applications. On this team, you’ll have the opportunity to build new products and solve critical problems using cutting-edge machine learning techniques to implement the world’s best entity resolution and matching systems. Our team embraces a culture that is self-driven, inquisitive, open, and customer-centric.</p>
<p><strong><em>What you'll do:</em></strong></p>
<ul>
<li>Understand the current architecture and data to build and improve the matching results to provide best in class match experience for Zoominfo users.</li>
<li>Extend and adapt this architecture to adapt to customer matching needs and infrastructure context</li>
<li>Build best-in-class entity resolution and match service powering multiple applications and millions of users globally across billions of documents.</li>
<li>Drive the architecture and design of software solutions, ensuring scalability, performance, and reliability using best practices and industry standards.</li>
<li>Collaborate with cross-functional teams, including product managers, architects, and other stakeholders, to define and deliver on a long term and impactful roadmap for match algorithm.</li>
<li>Implement using first principles with low latency and relevancy using large scale data systems and/or machine learning.</li>
<li>Stay up to date with emerging technologies, trends, and best practices in software development and recommend suitable technologies and approaches for solving complex technical challenges.</li>
</ul>
<p><strong><em>What you'll bring:</em></strong></p>
<ul>
<li>Passionate about building cutting-edge entity resolution and matching systems, independently driving features from conception to completion</li>
<li>Bachelor’s degree in Computer Science, Software Engineering or related field is required, Masters preferred</li>
<li>Proven experience (6+ years) in software development, with a focus on building large scale backend services for customer facing applications.</li>
<li>Substantial experience with Java 8+ and frameworks like Spring</li>
<li>Proven experience building data infrastructures in a cloud-native environment (GCP or AWS)</li>
<li>Strong expertise in designing, developing and maintaining complex distributed systems in a large scale production environment.</li>
<li>In depth understanding of Elasticsearch or Solr or underlying Lucene framework.</li>
<li>Quality first with the ability to effectively collaborate with cross-functional teams.</li>
<li>Excellent problem-solving and analytical skills, with a track record of delivering high-quality SaaS solutions.</li>
</ul>
<p> </p>
<p>#LI-RA1</p>
<p>#LI-Hybrid</p>
<p> </p><div><div><div><p>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.</p>
<p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a href="https://www.zoominfo.com/careers#benefits" target="_blank" rel="noopener noreferrer ugc">here</a>.</p></div><div>Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div><div><span>$112,000</span><span>—</span><span>$176,000 USD</span></div></div></div><div><p><strong>About us:</strong> </p>
<p>ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.</p>
<p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a> for more details on how we handle your personal information.</p>
<p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
<p>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.</p>
<p>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.</p></div>

Software Engineer III

<div><p>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.</p></div><p> </p>
<p>As a Senior Software Engineer, you will design, build, and operate software that solves complex business problems through thoughtful use of data, AI, and experimentation. You will turn ambiguous needs into reliable applications, services, and platforms that support teams across Sales, Marketing, Finance, HR, and related functions.</p>
<p>You will have opportunities to explore emerging technologies, develop prototypes, and bring promising AI and data science capabilities into production. You will partner with engineers, data scientists, and business stakeholders to evaluate technical approaches, define success criteria, and deliver maintainable solutions with measurable impact.</p>
<p>You will independently lead substantial technical projects within your team’s scope, contribute to system design and engineering standards, and provide guidance to other engineers. Success requires sound engineering judgment, comfort with uncertainty, and the ability to balance experimentation with dependable delivery.</p>
<p><strong> </strong></p>
<h2>What You’ll Do:</h2>
<ul>
<li>Own software delivery from problem definition through production. Translate business needs into technical requirements, designs, and implementation plans; build, deploy, and maintain solutions; and take responsibility for their ongoing performance and reliability.</li>
<li>Design maintainable systems. Build applications, APIs, services, and data processing components with clear interfaces, appropriate abstractions, and reusable code.</li>
<li>Apply AI and machine learning to practical problems. Partner with data scientists and other specialists to integrate models, AI services, and analytical capabilities into software products and business workflows.</li>
<li>Explore and validate new approaches. Develop prototypes and proofs of concept, test technical feasibility, and evaluate emerging tools and techniques. Use evidence to recommend whether to advance, revise, or discontinue an approach.</li>
<li>Build reliable data integrations and pipelines. Work with structured and unstructured data, establish data quality checks, and develop components that support applications, analytics, and model inference.</li>
<li>Define and measure success. Establish metrics for software reliability, performance, AI output quality, and business impact. Use experiments and statistical analysis where appropriate to evaluate outcomes and guide improvements.</li>
<li>Make sound technical tradeoffs. Assess architecture options, implementation complexity, operating costs, and build-versus-buy decisions. Communicate recommendations clearly to technical and non-technical partners.</li>
<li>Maintain a high engineering quality bar. Write readable, tested, and documented code; participate in code and design reviews; and use version control, automated testing, and CI/CD practices.</li>
<li>Operate and improve production systems. Diagnose failures, address performance bottlenecks, and improve monitoring and recovery processes. Incorporate appropriate safeguards for sensitive data and AI-enabled workflows.</li>
<li>Strengthen the team’s technical capabilities. Contribute to shared tooling and engineering practices, share findings from experiments, and mentor colleagues through design discussions, code reviews, and collaborative problem-solving.</li>
</ul>
<p><strong> </strong></p>
<p>The information in this job description represents a summary of the role and is not intended to be a comprehensive list of job duties. Responsibilities and duties of the position may change without notice at the Company’s discretion.</p>
<p> </p>
<h2>What You Bring: </h2>
<ul>
<li>Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.</li>
<li>5+ years of professional software engineering experience, including substantial ownership of software deployed and maintained in production.</li>
<li>Demonstrated ability to independently deliver complex technical projects, navigate ambiguous requirements, and make thoughtful design and implementation decisions.</li>
<li>Strong proficiency in Python and SQL, with experience building maintainable software beyond exploratory scripts or notebooks.</li>
<li>Solid understanding of software design, APIs, data structures, automated testing, version control, and CI/CD.</li>
<li>Experience building and operating cloud-based applications, services, or data-intensive systems, including troubleshooting production issues and improving reliability.</li>
<li>Experience working with data pipelines, databases, and integrations, with attention to data quality, performance, and access controls.</li>
<li>Working knowledge of applied AI, machine learning, or statistical methods, including how to evaluate their suitability, limitations, and performance in a software solution.</li>
<li>Ability to explain technical decisions and tradeoffs, collaborate across disciplines, and provide constructive guidance to other engineers.</li>
</ul>
<p><strong> </strong></p>
<h2>Preferred Qualifications</h2>
<ul>
<li>Master’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.</li>
<li>Familiarity with MLOps practices - model versioning, monitoring, drift detection, CI/CD for ML.</li>
<li>Experience designing and maintaining dashboards for operational or executive audiences.</li>
<li>Experience presenting analyses to senior technical and non-technical audiences.</li>
<li>Exposure to Sales, Marketing, Finance, or HR analytics domains.</li>
</ul>
<p>#LI-JH1 #LI-Remote</p>
<p> </p>
<div>
<p>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.</p>
<p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a href="https://www.zoominfo.com/careers#benefits" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
</div>
<div>Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div>
<div>$130,000<span>—</span>$168,000 CAD</div>
<div> </div>
<div> </div><div><p><strong>About us:</strong> </p>
<p>ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.</p>
<p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a> for more details on how we handle your personal information.</p>
<p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
<p>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.</p>
<p>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.</p></div>

Senior Software Engineer

<div><p>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.</p></div><p> </p>
<p>We are seeking a highly experienced, hands-on <strong>Principal Data Engineer</strong> to define and evolve the architecture, engineering standards, and operating model for our enterprise data platform.</p>
<p>This role is for a technical leader who excels at complex system design: translating business and analytical needs into scalable, reliable, secure, and maintainable data products. The Principal Data Engineer will lead critical architectural decisions across data ingestion, storage, transformation, orchestration, governance, observability, and consumption, while raising the engineering bar through mentorship, design reviews, and pragmatic best practices.</p>
<p>You will work across engineering, analytics, platform, security, and business stakeholders to create systems that make trusted data accessible, timely, and actionable at scale.</p>
<h2> </h2>
<h2><strong>What You’ll Do</strong></h2>
<h3><strong>Lead Data Architecture and System Design</strong></h3>
<ul>
<li>Own the technical vision and architecture for scalable, resilient, and cost-effective data platforms and pipelines.</li>
<li>Design end-to-end data systems spanning batch and streaming ingestion, transformation, data modeling, storage, orchestration, serving layers, and consumption patterns.</li>
<li>Make and document high-quality architecture decisions, including tradeoffs involving performance, reliability, scalability, latency, security, maintainability, and cost.</li>
<li>Define reusable architectural patterns for common data engineering challenges, including CDC, event-driven data flows, schema evolution, slowly changing dimensions, data quality, and multi-tenant or domain-oriented data models.</li>
<li>Establish clear boundaries and interfaces between operational systems, data platforms, analytics layers, and downstream applications.</li>
<li>Lead technical design reviews for high-impact initiatives and provide clear, constructive direction on implementation approaches.</li>
<li>Identify architectural risks early and drive plans to mitigate technical debt, single points of failure, data inconsistency, and operational fragility.</li>
</ul>
<h3><strong>Set Engineering Standards and Best Practices</strong></h3>
<ul>
<li>Establish and continuously improve standards for data engineering development, testing, deployment, documentation, monitoring, incident response, and lifecycle management.</li>
<li>Define best practices for version-controlled data transformations, infrastructure as code, CI/CD, code review, automated testing, and environment promotion.</li>
<li>Build a culture of data reliability by implementing standards for data contracts, schema management, lineage, observability, freshness, completeness, accuracy, and reconciliation.</li>
<li>Champion security, privacy, access control, governance, retention, and compliance requirements throughout the data lifecycle.</li>
<li>Develop practical engineering guardrails that enable teams to move quickly without sacrificing quality, trust, or operational excellence.</li>
<li>Drive adoption of well-defined SLIs, SLOs, alerting, runbooks, and post-incident learning practices for critical data products.</li>
</ul>
<h3><strong>Drive Technical Decision-Making</strong></h3>
<ul>
<li>Serve as a trusted technical authority for complex, cross-functional decisions involving data architecture, tooling, platform capabilities, and engineering investments.</li>
<li>Facilitate technical discussions that turn ambiguous requirements into durable, well-reasoned solutions.</li>
<li>Evaluate build-versus-buy decisions, platform technologies, and vendor capabilities using clear criteria and documented recommendations.</li>
<li>Align architecture decisions with organizational priorities, business outcomes, data strategy, and long-term platform sustainability.</li>
<li>Create and maintain architecture decision records, reference architectures, roadmaps, and technical standards that provide clarity across teams.</li>
<li>Influence leaders and stakeholders through concise communication of technical options, risks, tradeoffs, and recommended paths forward.</li>
</ul>
<h3><strong>Build and Improve Data Products</strong></h3>
<ul>
<li>Lead the design and development of high-value, production-grade data pipelines, datasets, and platform capabilities.</li>
<li>Partner with data analysts, data scientists, software engineers, and product teams to deliver well-modeled, discoverable, and trustworthy data products.</li>
<li>Optimize data systems for reliability, usability, performance, scalability, and cost efficiency.</li>
<li>Drive modernization initiatives, including migration from legacy platforms, consolidation of fragmented pipelines, and reduction of manual operational processes.</li>
<li>Ensure data products are designed with clear ownership, documentation, lineage, quality expectations, and support models.</li>
</ul>
<h3><strong>Mentor and Multiply Engineering Excellence</strong></h3>
<ul>
<li>Mentor data engineers at all levels, with a particular focus on growing senior engineers into strong technical leaders.</li>
<li>Provide practical coaching on system design, data modeling, debugging, performance tuning, code quality, and production operations.</li>
<li>Lead architecture reviews, technical workshops, design sessions, and knowledge-sharing forums.</li>
<li>Establish reusable templates, reference implementations, and playbooks that improve consistency and accelerate delivery.</li>
<li>Foster an inclusive, high-accountability engineering culture centered on thoughtful collaboration, continuous learning, and ownership.</li>
<li>Act as a technical multiplier: helping teams make better decisions independently while maintaining alignment with shared architectural principles.</li>
</ul>
<h2> </h2>
<h2><strong>What you bring</strong></h2>
<h3><strong>Required</strong></h3>
<ul>
<li>10+ years of experience in software engineering, data engineering, platform engineering, or a related technical discipline.</li>
<li>5+ years designing and operating large-scale data platforms, distributed data systems, or enterprise-grade data products.</li>
<li>Demonstrated expertise in end-to-end system design, including defining requirements, evaluating tradeoffs, designing resilient architectures, and delivering production systems.</li>
<li>Deep experience with modern data architecture concepts, such as lakehouse or warehouse platforms, batch and streaming processing, data modeling, orchestration, metadata management, and data governance.</li>
<li>Strong proficiency in SQL and at least one general-purpose programming language, such as Python, Java, Scala, or similar.</li>
<li>Experience with distributed data processing frameworks and technologies such as Spark, Kafka, Flink, Snowflake, Databricks, BigQuery, Redshift, or equivalent platforms.</li>
<li>Strong knowledge of data modeling practices across analytical, operational, and domain-oriented use cases.</li>
<li>Experience establishing engineering standards for testing, CI/CD, observability, infrastructure as code, reliability, and security.</li>
<li>Proven ability to lead technical decisions across multiple teams without relying on direct authority.</li>
<li>Exceptional written and verbal communication skills, including the ability to explain complex technical concepts and tradeoffs to technical and non-technical stakeholders.</li>
<li>Demonstrated experience mentoring engineers and raising technical standards across an organization.</li>
</ul>
<h3><strong>Preferred</strong></h3>
<ul>
<li>Experience with cloud-native data platforms on AWS, Azure, or GCP.</li>
<li>Experience implementing data mesh, domain-oriented data product, or self-service platform patterns.</li>
<li>Familiarity with data governance, cataloging, lineage, privacy, and access-control tooling.</li>
<li>Experience supporting financial, revenue, operational, customer, or enterprise analytics domains.</li>
<li>Experience with ML data pipelines, feature stores, or AI/LLM data foundations.</li>
<li>Experience managing major data-platform migrations, modernization programs, or large-scale architectural transformations.</li>
</ul>
<h2><strong>Leadership Competencies</strong></h2>
<ul>
<li><strong>Systems thinker</strong>: Connects individual technical decisions to broader platform, organizational, and business outcomes.</li>
<li><strong>Pragmatic architect</strong>: Balances ideal-state architecture with incremental delivery and operational realities.</li>
<li><strong>Technical judgment</strong>: Makes clear recommendations amid ambiguity and communicates tradeoffs transparently.</li>
<li><strong>Builder and operator</strong>: Designs for production from the beginning, including reliability, security, observability, and supportability.</li>
<li><strong>Mentor and multiplier</strong>: Develops others and creates scalable mechanisms for technical excellence.</li>
<li><strong>Collaborative influencer</strong>: Builds alignment across engineering, analytics, security, product, and business teams.</li>
</ul>
<h2><strong>Our Technology Stack</strong></h2>
<ul>
<li><strong>Languages &amp; Databases:</strong> Python, SQL, MySQL, NoSQL databases</li>
<li><strong>Orchestration &amp; Transformation:</strong> Airflow, dbt</li>
<li><strong>Data Platforms:</strong> Snowflake, AWS, GCP, BigQuery, Redshift</li>
<li><strong>Data Integration:</strong> Fivetran, custom ETL/ELT frameworks</li>
<li><strong>Observability &amp; Data Reliability:</strong> Datadog, monitoring, alerting, data-quality frameworks</li>
</ul>
<p> </p>
<p>#LI-JH1 #LI-Remote</p>
<p> </p><div><div><div><p>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.</p>
<p>In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits <a href="https://www.zoominfo.com/careers#benefits" target="_blank" rel="noopener noreferrer ugc">here</a>.</p></div><div>Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.</div><div><span>$171,500</span><span>—</span><span>$269,500 USD</span></div></div></div><div><p><strong>About us:</strong> </p>
<p>ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.</p>
<p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a> for more details on how we handle your personal information.</p>
<p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
<p>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.</p>
<p>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.</p></div>

Principal Data Engineer

<div><p>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.</p></div><p> </p>
<p>We are seeking an experienced <strong>Senior </strong><strong>Analytics Engineer </strong>to join the Enterprise Data Engineering team at ZoomInfo.</p>
<p>As an Analytics Engineer, you will play a pivotal role in advancing the maturity of our data organization. Working cross-functionally with Engineering, Product, Security and business stakeholders, you’ll design, build, and own the core infrastructure and data models that power data-driven decision-making across the organization.</p>
<h2> </h2>
<h2><strong>What You’ll Do</strong></h2>
<ul>
<li>Design, develop, and maintain scalable analytics data models that support reporting, business intelligence, product analytics, and operational decision-making.</li>
<li>Build and manage trusted data pipelines and transformation workflows using modern analytics engineering practices.</li>
<li>Partner with stakeholders across Engineering, Product, Design, Strategy &amp; Operations, and AI Platform to understand business needs and translate them into effective data solutions.</li>
<li>Establish clear definitions, metrics, dimensions, and data contracts to create consistency across teams and use cases.</li>
<li>Develop reusable datasets and semantic models that enable self-service analytics and reduce duplicated work.</li>
<li>Improve the reliability, performance, observability, and maintainability of analytics infrastructure.</li>
<li>Implement data quality checks, testing, documentation, lineage, and monitoring for critical data assets.</li>
<li>Collaborate with data engineers and platform teams to optimize data architecture, warehouse performance, and transformation workflows.</li>
<li>Work with analysts, data scientists, and business partners to ensure data products are intuitive, discoverable, and fit for purpose.</li>
<li>Help establish best practices for analytics engineering, including version control, code review, CI/CD, documentation, and deployment standards.</li>
<li>Communicate technical concepts clearly to both technical and non-technical audiences.</li>
</ul>
<h2> </h2>
<h2><strong>What You’ll Bring</strong></h2>
<ul>
<li>4+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field.</li>
<li>Strong SQL skills, including experience developing complex queries and dimensional data models.</li>
<li>Experience building and maintaining analytics transformations using tools such as dbt or comparable frameworks.</li>
<li>Proficiency in Python or another programming language used for data processing and automation.</li>
<li>Experience working with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.</li>
<li>Strong understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and semantic layers.</li>
<li>Experience implementing data quality testing, monitoring, documentation, and observability practices.</li>
<li>Demonstrated ability to partner with cross-functional stakeholders and translate ambiguous business questions into scalable data solutions.</li>
<li>Strong communication, problem-solving, and organizational skills.</li>
<li>A thoughtful approach to data governance, security, privacy, and responsible use of data.</li>
<li>Familiarity with data cataloging and lineage tools.</li>
</ul>
<p><strong>Our Tech Stack</strong></p>
<ul>
<li><strong>Warehousing</strong>: Snowflake as the primary warehouse; BigQuery for GCP-native workloads</li>
<li><strong>Ingestion</strong>: Fivetran for SaaS-to-Snowflake pulls; Airflow (on AWS) for custom DAGs, Lambda-based extraction, and S3 staging</li>
<li><strong>Modeling</strong>: dbt for transformation and semantic layer definition</li>
<li><strong>Custom compute</strong>: Databricks for bespoke modeling work that doesn't fit cleanly into dbt/Snowflake</li>
<li><strong>Infrastructure</strong>: Terraform for managing Fivetran connections, GCP infrastructure, and AWS resources</li>
<li><strong>Version control &amp; CI/CD</strong>: GitHub</li>
<li><strong>Consumption</strong>: Tableau dashboards; internal tools built on top of semantic data layers</li>
</ul>
<p><span>#LI-JH1 </span><span>#LI-Remote</span></p>
<p> </p>
<p> </p><div><p><strong>About us:</strong> </p>
<p>ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.</p>
<p>ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant <a href="https://drive.google.com/file/d/1yiG-k0YX_sW10PiJk_xliDc3W-veJCrK/view?usp=drive_link" target="_blank" rel="noopener noreferrer ugc">Privacy Notice</a> for more details on how we handle your personal information.</p>
<p>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 <a href="https://www.zoominfo.com/legal/nyc-local-law-144-notice" target="_blank" rel="noopener noreferrer ugc">here</a>.</p>
<p>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.</p>
<p>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.</p></div>

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