ZoomInfo Technologies LLC

Role Description As a GTM Overlay - Account Executive, you will be at the forefront of ZoomInfo's most exciting new chapter; introducing ZoomInfo’s emerging products to the market as part of our AI-powered go-to-market portfolio. Operating as an Overlay Account Executive, you will partner closely with Account Managers to unlock new revenue opportunities within existing accounts through cross-sell and upsell, retaining our customers, and evangelizing transformative AI solutions that are redefining how modern revenue teams operate. You'll work alongside driven, supportive teammates, sell proprietary data products that enterprise clients rely on, and earn competitive compensation with unlimited upside. What You'll Do: - Partner as an overlay specialist: Work hand-in-hand with Account Managers to identify expansion opportunities within existing accounts, retain existing accounts, co-sell strategically, and deliver a seamless, consultative client experience. - Build and drive pipeline: Generate new upsell and cross-sell opportunities through high-impact outbound activity, SDR collaboration, and strategic prospecting powered by ZoomInfo's own intelligence. - Own the full sales experience: Perform qualification, discovery, deliver sales pitch, lead compelling product demos, navigate signature process to all the way through closing and guide prospects through every step of the buying journey with confidence and expertise. - Forecast with precision: Maintain accurate pipeline and revenue forecasts in Salesforce, providing clear visibility into business performance. - Be the product expert across GTM Studio, ZI Operations, and ZoomInfo Marketing for the R&G Sales Organization delivering compelling product demonstrations and business value conversations with executive stakeholders. - Increase spend into these accounts to grow them via off-cycle upsell with deal sizes ranging $50K-$500K+ ACV. - Focus on representing the voice of the customer by working cross-functionally with marketing, sales operations, professional services, product management and other key internal stakeholders. - Work collaboratively with an entire team of internal resources to navigate complex use cases and ensure tight alignment with customers on how ZoomInfo can help them achieve their business objectives. Qualifications - 3+ years of successful and proven quota attainment - preferably a record of exceeding quota consistently. - Experience with B2B Data, Data Quality & Hygiene, Marketing Operations or Sales Operations, or business intelligence tools - Salesforce, LeanData, D&B, ZoomInfo, etc. - Experience selling into Operations and/or Marketing personas and C-suite executives; familiarity with Go-To-Market technology and platforms (such as GTM Studio, ZoomInfo Marketing or Ringlead) is a strong plus. - Proven ability to collaborate in a team selling environment, working closely with Account Managers, Sales Development Representatives (SDRs), Customer Success Managers, and Solutions Consultants to drive co-selling initiatives and deliver comprehensive client solutions. - Consultative, education-first selling approach. - Strong Communication Skills: Excellent verbal, written, and presentation skills with the ability to simplify complex concepts for both technical and business audiences. - Experience closing six-figure deals using value selling frameworks, point-of-view driven sales processes, and MEDDIC methodology. - Strong data fluency with the ability to connect data insights to measurable business outcomes; familiarity with AI, LLMs, and data foundation principles with the ability to articulate their impact on organizational goals. - Strong organizational skills, attention to detail, high energy, and a "can do" attitude, balancing multiple tasks. - Comfortable in a fast-changing environment with a desire to continuously learn new products, industries, and customer use cases. Benefits - Top-notch tech stack and access to leading tools and technologies. - Dedicated data strategists, consultants, and a top-notch solutions team to support you throughout the sales cycle. - Strong onboarding program and ongoing weekly enablement. - Market leading product offering (check our long list of G2 awards). - ERG (Employee Resource Groups) to foster a diverse, inclusive workplace. - Comprehensive Medical, Dental, Vision. - Eligibility for Future Equity Awards. - 401k Matching (50% of the first 7% of your contribution). - 12 weeks Parental Leave for primary caregivers, 4 weeks for secondary caregivers. - Family forming benefits up to $20k, plus discounts on a Care.com membership. - Virgin Pulse Wellness Program. - Optional add-ons such as pet insurance, legal service support, and more! Working Conditions - Remote. Some travel may be required.

Role Description What You'll do: - Design and build polished, responsive UI components and data visualization/charting experiences that make complex conversation data intuitive and actionable. - Build and iterate on AI-powered tools and interfaces that surface deal insights, risk signals, and next-step recommendations in digestible ways. - Collaborate closely with designers and PMs to translate roadmap initiatives into well-scoped frontend architecture and execution. - Contribute to backend REST APIs and services as needed to support new features (own the contract, not necessarily the deep implementation). - Provide technical leadership on frontend architecture, component design patterns, and performance — contribute to code reviews and raise the UI/UX bar across the team. - Test, document, and maintain a frontend codebase that's an example to other engineers. Qualifications - 3–6 years of relevant software engineering experience building production web applications, with React/Angular/Vue as your primary discipline. - Strong grasp of frontend architecture: component design, state management, performance optimization, responsive/accessible UI. - Working knowledge of — or genuine eagerness to learn — backend services and REST API development (Node.js or Python). - Familiarity with relational/NoSQL databases (MySQL, MongoDB, DynamoDB) and search technologies (Elasticsearch/Solr) a plus, not required. - Strong interpersonal and communication skills; highly responsible, enthusiastic, and thorough. - Proficient in JavaScript, with strong fundamentals in async programming and modern language features. - Experience with TypeScript, using static typing and interfaces to build reliable, maintainable code. Benefits - Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. - Comprehensive benefits including holistic mind, body and lifestyle programs designed for overall well-being. - US base salary for this position: $161,360 — $242,040 USD. - Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. Company Description 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.

Role Description We are looking for a Product Marketing Manager who can translate product innovation into revenue by activating one of the industry's largest go-to-market organizations. This is not a traditional product marketing role focused solely on positioning and launches. Success in this role depends on your ability to help the broader ZoomInfo organization understand, position, and sell ZoomInfo Talent Solutions. You will serve as the bridge between Product, Sales, Customer Success, and Marketing, ensuring our teams have the messaging, proof points, competitive intelligence, and confidence needed to win in the market. Your audience is not only recruiting buyers; it is also hundreds of sellers, customer-facing teams, and leaders across ZoomInfo who influence revenue every day. If you enjoy shaping narratives, enabling sales teams, influencing without direct authority, and helping products gain traction across a large organization, you'll thrive in this role. What You'll Own - Internal Sales Activation: - Develop programs that increase awareness, understanding, and adoption of ZoomInfo Talent Solutions across the broader ZoomInfo go-to-market organization. - Partner closely with sales leadership, overlays, account executives, account managers, and customer success teams to drive engagement and revenue opportunities. - Sales Enablement: - Create and maintain the materials sellers use every day, including: - Battlecards - One-pagers - Sales presentations - Competitive positioning - Discovery guides - Customer stories - Solution briefs - Your work should help sellers move faster, communicate value more effectively, and create more opportunities. - Positioning and Messaging: - Develop clear, differentiated messaging that helps both internal teams and external buyers understand the value of ZoomInfo Talent Solutions. - Ensure consistency across sales conversations, launches, campaigns, customer communications, and product experiences. - Product Launches: - Lead internal launch readiness efforts for new products, features, and innovations. - Coordinate communication, training, enablement, and activation programs to drive adoption across the organization. - Competitive Intelligence: - Own competitive intelligence programs and maintain battlecards, objection handling frameworks, and market insights that help sellers compete more effectively. - Customer Proof and Market Insights: - Develop customer stories, testimonials, and success narratives that strengthen sales conversations and support go-to-market efforts. What Success Looks Like Success in this role is measured by influence and adoption. You'll help: - Increase seller engagement with ZoomInfo Talent Solutions - Improve utilization of sales enablement assets - Drive internal opportunity creation and cross-sell activity - Strengthen competitive win rates - Improve launch adoption across the organization - Expand customer proof points and success stories - Increase confidence and consistency in how ZoomInfo Talent Solutions is positioned in the market Qualifications - 6+ years of experience in product marketing, solutions marketing, or go-to-market strategy within B2B SaaS - Exceptional storytelling, messaging, and content development skills - Experience creating sales enablement assets that drive measurable adoption - Strong competitive intelligence and market analysis capabilities - Experience leading cross-functional product launches - Ability to influence stakeholders across Product, Sales, Marketing, and Leadership - Strong executive communication and presentation skills - Comfort operating in a fast-paced environment with a high degree of ownership and autonomy Bonus Points - Experience in Talent Acquisition, Recruiting Technology, HR Technology, or Workforce Technology - Familiarity with AI, talent intelligence, sourcing, recruiting workflows, or recruiting automation - Experience supporting enterprise sales organizations Benefits - Comprehensive benefits including holistic mind, body, and lifestyle programs designed for overall well-being - Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training - Base salary range for this position: $79,100 — $124,300 USD

Role Description The Senior Director of Security Architecture is a leadership role responsible for overseeing the creation and ongoing maintenance of ZoomInfo’s security architecture. This role involves leading the Security Architecture team, responsible for developing security architectures, performing threat modeling, assessing security risks, and defining security requirements to establish a robust security posture. This role leads a team that works with an engineering function of over 500 product developers, 200 data developers, and 100 enterprise apps developers. The security architecture strategy addresses multiple domains: Cloud platform security, Applications security, Data security, and AI security. We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. - Security Architecture: Develop and execute a vision for the organization's security architecture, for both product security and enterprise security, that is aligned with business objectives. - Team Management: Lead and mentor a team of security architects and engineers based in Israel and the US, fostering a culture of continuous improvement and professional development. - Security Champions Program: Lead the security champions program, empowering employees across the organization to advocate for and implement security best practices. - Secure Development Lifecycle: Oversee the secure development lifecycle process, ensuring that required controls such as threat modeling and vulnerability scanning are implemented, to ensure security is integrated into all stages of software development. - Risk Management: Identify and mitigate security risks through proactive assessment and the implementation of appropriate controls. - Stakeholder Collaboration: Work closely with stakeholders to drive the adoption of security practices and drive the security agenda. - Policy Development: Create and enforce security policies, standards, and procedures to ensure compliance with regulatory requirements and industry standards. Qualifications - Education: Bachelor's degree in a related field. Advanced degree preferred. - Experience: Minimum of 15 years of experience in information security, with at least 5 years in a leadership role overseeing security architecture governance. - Skills: Strong knowledge of security architecture frameworks and models, excellent leadership and interpersonal skills, and the ability to manage complex security programs. - Leadership: Proven track record of successfully leading security architecture initiatives in a global organization, leveraging cloud security architectures and technologies. - Technology: Prefer experience in a SaaS company, experience in a multi-cloud environment. Company Description 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. 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.

Role Description As a Data Scientist III, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across multiple areas of the business including Sales, Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes. This role will be responsible for: - Drawing insights from large data sets. - Defining and implementing key model performance indicators. - Communicating insights and trends to support business decision-making. - Working closely with business stakeholders on measurement, success metrics, and analytics. - Using data to develop insights, forecasts, metrics, dashboards, and recommendations. What You’ll Do (Essential Functions): - Own data science projects end-to-end within your assigned business area. - Scope ambiguous problems and define success metrics, through model development, deployment, and ongoing monitoring. - Translate business questions from Sales, Marketing, Finance, HR, and related functions into well-defined data science problems with clear KPIs, deliverables, and timelines. - Assess the feasibility, expected impact, and tradeoffs of proposed initiatives to inform prioritization and scoping decisions with cross-functional partners. - Design and conduct rigorous statistical analyses and build robust predictive models to answer complex business questions. - Optimize models for performance, interpretability, and generalization using techniques such as regularization, cross-validation, and ensemble methods. - Define model evaluation plans that cover accuracy, fairness, drift, and business impact. - Design and implement production-ready data and model pipelines that handle large-scale datasets. - Write readable, well-structured, modular code using standard data science libraries. - Participate in code and design reviews, giving and receiving constructive feedback. - Contribute to shared practices, tooling, and documentation that improve how the data science function operates. - Share knowledge with teammates and provide informal guidance to more junior colleagues. 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. Qualifications - Master's degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related). - 3+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment. - Demonstrated experience translating business questions into data science problems and communicating findings to technical and non-technical audiences. - Proficiency in Python and SQL, and experience with data visualization tools such as Tableau. - Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform. - Working knowledge of applied statistical methods and machine learning techniques (e.g., regression, classification, time series, cross-validation, model evaluation). Preferred Qualifications - Doctoral degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related). - Familiarity with MLOps practices — model versioning, monitoring, drift detection, CI/CD for ML. - Experience designing and maintaining dashboards for operational or executive audiences. - Experience presenting analyses to senior technical and non-technical audiences. - Exposure to Sales, Marketing, Finance, or HR analytics domains. Company Description 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.

Role Description As a Data Scientist II, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across multiple areas of the business including Sales, Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes. To this end, you will help teams access insights needed to operate effectively. This role will be responsible for: - Drawing insights from large data sets. - Defining and implementing key model performance indicators. - Communicating insights and trends to support business decision-making. - Working closely with business stakeholders on measurement, success metrics, and analytics. - Using data to develop insights, forecasts, metrics, dashboards, and recommendations. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement data science models, as well as knowing general industry trends, business objectives, and workforce dynamics. What You’ll Do (Essential Functions): - Contribute to data science projects supporting Sales, Marketing, Finance, HR, and related functions, collaborating with other team members. - Apply an understanding of business operations to translate defined requirements into data science tasks and KPIs. - Identify opportunities where data science can support team objectives. - Translate and summarize data into written reports, tables, graphs, dashboards, and charts. - Perform data preprocessing, feature engineering, and model selection for routine problems. - Design and implement AI models and pipelines based on documented requirements. - Analyze model performance using standard evaluation metrics. - Use distributed processing systems (e.g., Snowflake, Databricks, Google Cloud Platform). - Proactively identify and resolve issues in pipeline development and deployment. - Write understandable, modular code by applying established software development practices and style guides. - Use common data science libraries to implement designed solutions efficiently. - Participate in code reviews at critical points to validate that code meets requirements and standards. - Create initial technical documentation. 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. Qualifications - Master's degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related). - 2+ years of professional experience building and deploying data science or machine learning solutions, including at least one production deployment. - Demonstrated experience translating business questions into data science problems and communicating findings to technical and non-technical audiences. - Proficiency in Python and SQL, and experience with data visualization tools such as Tableau. - Experience working with cloud data and ML platforms such as Snowflake, Databricks, or Google Cloud Platform. - Working knowledge of applied statistical methods and machine learning techniques (e.g., regression, classification, time series, cross-validation, model evaluation). Preferred Qualifications - Doctoral degree in a STEM or quantitative field (statistics, computer science, mathematics, economics, engineering, or related). - Familiarity with MLOps practices — model versioning, monitoring, drift detection, CI/CD for ML. - Experience designing and maintaining dashboards for operational or executive audiences. - Experience presenting analyses to senior technical and non-technical audiences. - Exposure to Sales, Marketing, Finance, or HR analytics domains. Company Description 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.

Role Description ZoomInfo is building its Forward Deployed Engineering function. You will define how it operates — how engagements run, what the deliverables are, how the playbook works, what scales and what doesn't. The support structure exists (data team, product team, infrastructure, executive sponsorship); what's missing is the person who brings it to life in front of customers and turns early wins into a repeatable model. As an FDE, you embed directly with ZoomInfo's strategic accounts — large enterprises with complex data needs, often in financial services, insurance, technology, and other globally distributed industries. You work alongside their teams to understand their go-to-market challenges, then design and deliver bespoke intelligence applications that combine ZoomInfo's third-party data with the customer's first-party data to drive real business outcomes. You own the engagement end-to-end: from discovery through deployment, from executive presentation through production code. You'll work closely with our data and product teams to bring the full breadth of ZoomInfo's data foundation to bear — company intelligence, contact data, buying signals, intent data, and specialized vertical datasets — assembled into purpose-built applications tailored to each customer's specific personas and workflows. ZoomInfo has one of the deepest go-to-market data foundations in the world — 500M+ professional profiles, 100M+ company records, intent signals, vertical datasets spanning financial filings, insurance, commercial fleet, and more. You'll have access to incredible data, powerful infrastructure, and our most important customer relationships. What you build with them — and how you build it — will define the model going forward. What Engagements Typically Look Like - Entity resolution at scale — reconciling legal entity hierarchies (D&B, tax IDs, company-house registrations) with how customers actually go to market. - Hierarchy management — enforcing one-to-one matching across regions, fixing parent-child linkage gaps, dispositioning orphaned accounts, surfacing white space on top of clean parent IDs. - Location-level precision — moving customers off monolithic HQ-level enrichment so geo-based sales teams see local firmographics instead of global rollups. - Automated, no-human-in-the-loop logic — entity suppression, disposition-based matching, orchestration rules for inactive entities, parent linkages, and white space alerts. - Data warehouse as the operating layer — moving sophisticated analysis out of CRM into Snowflake or BigQuery. - Buying group filtering — applying persona-density criteria across hierarchies to turn a customer's 5,600 Disney legal entities into 31 actionable targets. What You'll Build Every engagement comprises a consistent service architecture — three pillars built on top of each other, and five capability areas assembled into the actual deliverable. - Three pillars: - Data Foundation — golden reference matching, persistent IDs, unified entity profiles across the customer's first-party systems. - Data Management — business-specific logic that turns the foundation into something the customer can actually go to market with. - Activation — TAM to SAM to SOM, fit scoring, in-market signals. - Five capability areas: - Data Foundation Development — Match every record across the customer's CRM, ERP, billing, and marketing systems to a golden reference dataset. - Account Architecture & Entity Resolution — Define what an account means for the customer's business and build automated logic that enforces that structure. - TAM Development & White Space Discovery — Build the customer's complete addressable market against ICP criteria. - Account Fit Scoring & In-Market Signals — Build custom fit models from historical win/loss patterns. - Ongoing Governance & Automation — Match orchestration rules, enrichment segmentation, CRM field locking, and warehouse integration. What You'll Do - Own Strategic Customer Engagements End-to-End — Serve as the primary technical point of contact for assigned strategic accounts. - Bridge Technical and Business Audiences — Present to executive leadership and synthesize complex go-to-market data needs into clear, actionable proposals. - Build the FDE Playbook — Document what works: discovery frameworks, engagement phases, integration patterns, deliverable templates, success metrics. - Drive Stickiness and Expansion — Identify expansion opportunities as they emerge. Qualifications - High Ownership, High Ambiguity Tolerance — Comfortable making judgment calls with incomplete information. - Strong Software and Data Engineering Fundamentals — Proficient in Python and SQL, and comfortable working in cloud data warehouses. - Customer-Facing Communication — Experience working directly with customers in a technical capacity. - Go-to-Market Data Familiarity (Preferred) — Experience with B2B data, CRM systems, enrichment and orchestration tooling. Benefits - Comprehensive benefits including holistic mind, body and lifestyle programs designed for overall well-being. - Actual compensation based on factors such as work location, qualifications, skills, experience, and/or training. - Base salary range: $171,500 — $269,500 USD.

Role Description As a Senior Full Stack Engineer on the Conversation Intelligence team, you'll be at the heart of Chorus.ai, ZoomInfo's Conversation Intelligence platform. Chorus processes and analyzes a tremendously large set of sales calls to surface insights that help salespeople perform at their highest level and match the best in the industry. You will own customer-facing product areas — from AI-powered tooling to rich data visualizations and charting experiences — working across the full stack and architecting solutions capable of handling millions of customer requests per day. Frontend-heavy or backend-heavy, it doesn't matter — as long as you're great at what you do, willing to learn, and comfortable taking on basic tasks outside your primary discipline when needed, there's meaningful work for you here. You'll be surrounded by incredibly smart, talented, and motivated engineers who will push you to define your new best, all working toward ambitious goals that actually move the needle. What You’ll Do: - Design, prototype, and deliver customer-facing features across the full stack — from responsive, polished UI components to robust REST APIs and backend services. - Build and iterate on AI-powered tools that make Chorus's vast dataset of sales conversations more digestible and actionable for our users. - Provide technical leadership — contribute to architectural decisions, conduct meaningful code reviews, and help raise the bar for engineers around you. - Work with engineers, designers, and Product Managers to break down roadmap initiatives into well-scoped, executable work. - Test, document, and maintain a codebase that is an example to our engineers and supports the scale of the business. Qualifications - 5–10 years of relevant software engineering experience building production web applications. - Strong proficiency in either backend (Python, Node.js) or frontend (React, Angular) development as your primary discipline. - Working knowledge of — or genuine eagerness to learn — the other side of the stack: backend services and APIs, or frontend frameworks and UI development. - Hands-on experience with relational and NoSQL databases: MySQL, MongoDB, DynamoDB. - Familiarity with search technologies: Elasticsearch and/or Solr. - Experience with RESTful API design and backend service development. - Strong interpersonal and communication skills; highly responsible, enthusiastic, and thorough. - Ability to take end-to-end ownership — from problem framing through to production delivery. Benefits - Comprehensive benefits including holistic mind, body, and lifestyle programs designed for overall well-being. - Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. - US base salary for this position: $161,360 — $242,040 USD. - Additional compensation such as Bonus, Commission, Equity, and other benefits may also apply.

Role Description The R&D Engineer is a researcher-practitioner - someone equally comfortable reading papers and shipping prototypes. They are responsible for staying close to the frontier of LLM and AI systems research, identifying ideas with practical value, and building POCs that demonstrate feasibility. These POCs are demoed to the team and, where validated, handed off to the Platform and AI Engineers to productionize. This person does not work in isolation — they collaborate closely with the rest of the team throughout the research-to-product pipeline. What You'll Do: - Monitor and synthesize developments in LLM systems, AI infrastructure, and adjacent research areas - Prototype and evaluate novel ideas with a fast feedback loop — build, demo, iterate - Extend and improve the existing agent and RAG SDKs with new retrieval strategies, agent patterns, and provider integrations - Evaluate new embedding models, reranking approaches, and retrieval architectures against the existing pipeline - Collaborate with the Platform and AI Engineers to hand off validated POCs - Produce clear documentation and demos that make research accessible to non-researchers - Contribute to discussions with the tech lead on long-term research direction and where to place technical bets - Engage with the broader research community — conferences, papers, open-source projects - Identify opportunities where emerging techniques can address real problems surfaced by the AI Engineer Qualifications - Hands-on experience building or evaluating LLM systems — fine-tuning, inference, retrieval, or agents - Familiarity with RAG architectures beyond naive vector search — HyDE, MMR, graph-based retrieval, reranking, or hybrid search - Exposure to agent frameworks and multi-agent orchestration patterns (PydanticAI, LangGraph, AutoGen, CrewAI, or similar) - Demonstrated ability to move quickly from idea to working prototype - A portfolio of explored ideas — published work, technical blog posts, side projects, or OSS contributions - Strong communication skills — can explain complex research to non-researchers clearly - Collaborative by default; understands that research value is realized when ideas ship Requirements - Core: Python, agent frameworks (PydanticAI or equivalent), RAG pipeline design (embedding, retrieval, reranking), managed ML platforms (Vertex AI or equivalent) - Nice to have: Systems-level programming experience, familiarity with inference infrastructure (vLLM, TensorRT), experience with RLHF or fine-tuning pipelines, MCP protocol, graph databases (Neo4j) Company Description 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 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 We are looking for a highly skilled Senior Data Engineer to become part of our core Data & AI Engineering team. In this pivotal role, you will be responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively—extracting, exploring, analyzing, and generating insights—through various platforms using ZI's internal chat agent The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems What you’ll do: - Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. - Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake. - Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion. - Implement and enforce Model Context Protocol (MCP) or similar architectures to feed accurate and contextual data into our LLM-powered products for applications like Retrieval Augmented Generation (RAG) and advanced search. - Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value. - Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority. - Mentor and coach junior engineers, promoting best practices in code quality, data architecture, and operational excellence. - Participate in architectural decisions and long-term strategy planning for our enterprise-wide data infrastructure, with a focus on cost, performance, and reliability. What you bring: - Expert-level SQL for building performant, scalable queries and transformations on massive datasets. - Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs. - Production-level experience for large-scale batch and streaming data processing. - Hands-on experience with DBT (Data Build Tool) for advanced data modeling and transformations in a modern data stack. - Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling. - Experience implementing Model Context Protocol (MCP) or similar architectures to feed structured and unstructured data into LLM-powered systems. - Strong understanding of data architecture concepts, including data lakes, event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh. - Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform). Nice to Have - Familiarity with LLMOps, LangChain, or RAG (Retrieval Augmented Generation) pipelines. - Experience with building embedding models or pipelines for Named Entity Recognition (NER). - Knowledge of data cataloging tools (e.g., OpenLIneage, etc.) and lineage tracking. - Familiarity with other distributed systems and databases (e.g., DynamoDB, Flink). Required Non-Technical Skills - Excellent communication skills – ability to explain complex technical concepts to both engineering teams and non-technical stakeholders. - Strategic & Product-Oriented Thinking – can translate business objectives and customer needs into scalable, high-impact data solutions. - Leadership & Mentorship – experience guiding and uplifting engineering teams to achieve their full potential. - Stakeholder Management – able to collaborate effectively across departments (Product, Engineering, Sales, Compliance). - Agility & Adaptability – thrives in ambiguous, evolving environments and can rapidly prototype and iterate on solutions. - Strong documentation habits and ability to evangelize best practices across the organization. Qualifications - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. - 8+ years of progressive experience in data engineering, with a track record of leadership and impact. Demonstrated experience in implementing or scaling data infrastructure for a data-centric product company. #LI-AR2 #LI-REMOTE 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.