DoubleVerify

Role Description As the HR Reporting & Data Lead, you'll own HR reporting, data, and analytics end to end, building and automating the reports, dashboards, and data infrastructure that give HR and business leaders real visibility into how the workforce is performing. You'll be the go-to for HR Master Data Management, and all things reporting and analytics. This is a role for a self-starter with a passion for data, analytics, insights, and storytelling. You'll partner with stakeholders at every level, including the CHRO. Reporting to the Senior Director, HR Technology & Operations, your responsibilities fall into these key areas: What you'll do - Reporting & Analytics - Collect and compile HR metrics and data from a variety of sources and systems including Workday. - Create, design, develop, test, and manage reports, KPIs, and dashboards that give leadership visibility into company performance and critical employee metrics. - Develop and maintain routine and ad hoc reports and system queries that are reliable, accurate, and cross-referenced across data sources for consistency (e.g., weekly hiring report, quarterly people data including hiring, retention, etc.). - Oversee annual and quarterly reporting requirements, including compliance reporting such as EEO-1. - Analyze data and provide solutions with meaningful business impact. - Expand and enhance existing analytics capabilities; continuously improve processes and explore/adopt new tools. - Create a quality assurance process to ensure the overall quality and continual improvement of HR analytics. - Identify opportunities to integrate databases and reporting tools to improve reporting and self-service; drive innovation and process improvement across the reporting/data analysis function. - Perform data benchmarking with peer institutions. - Develop and maintain standards and best practices for data, including reporting methodology and request intake. - Create and load data to Workday using EIBs and other methods for updates and testing purposes. - Create and maintain reports and dashboards in Workday. - Leverage AI and automation tools to streamline key reports, recurring processes, and data management tasks, reducing manual effort and improving turnaround time. - Support various stakeholders to complete ad hoc requests and surveys. - CHRO Support - Support the CHRO with data, analytics, and insights. - Prepare Board-level presentations and executive briefings. - Conduct data analysis and insights to support decision-making. - Respond to ad hoc requests for data, analysis, presentations, and visualizations. - Leverage AI to automate reporting, analytics, and insights. - HR Master Data Management - Own core HR master data - cost center, company, location, supervisory organization - keeping Workday as the authoritative system of record. - Set data governance standards: definitions, naming conventions, allowed values, and mandatory fields, documented in a data dictionary with clear data ownership and stewardship. - Run data quality controls: exception reports and dashboards to catch missing, duplicate, invalid, or inconsistent records, plus recurring reconciliations of Workday data against downstream payroll/financial systems. - Maintain data lineage: partner with IT on how each data element flows from Workday to downstream systems. - Maintain the legacy data repository and support acquisition data transitions. - Function as the subject matter expert and data steward for HR-related data, representing HR on associated committees and governing groups. - Project & Testing Support - Actively participate in projects to understand/recommend reporting and data needs. - Create reports to support processes and/or projects. - Stage data as needed. - Support the bi-annual Workday release schedule, including testing and review of reporting and master data management. - SOX Compliance & User Access Reviews (Support) - Support coordination of periodic User Access Reviews (typically quarterly for high-risk/privileged access and at least annually for standard access) covering all SOX-relevant Workday security groups and role assignments. - Support the annual SOX scoping exercise by helping identify which Workday processes, configurations, integrations, and reports are material to financial reporting and therefore in scope. - Partner with the HR Tech Leader and IT on materiality and risk to recommend inclusion or exclusion of processes from SOX scope, documenting the rationale for scoping decisions. - Participate/Lead Audit Walk-thrus for HR. Qualifications - A strong individual contributor who lives DV's values (passion, accountability, collaboration, and trailblazing). - Strong interpersonal, communication, and relationship-building skills. - Endlessly curious and not afraid to experiment with AI to work smarter. - 5+ years of experience in an HR analytics or consulting role at a global company. - 5+ years of experience with Workday Reporting and Master Data Management. - Experience providing analytics for senior HR/CHRO-level stakeholders. - Experience with data warehouses, enterprise systems, and a variety of reporting, statistical, and analytical tools. - Demonstrated statistical and quantitative skills; ability to quickly analyze and integrate information from disparate sources with strong storytelling ability. - Exceptional attention to detail and project management skills. - Strong understanding of data governance, including GDPR. - Ability to present complex information in an understandable and compelling manner. - Demonstrated track record of partnering with executives, managers, and employees on change management and structured processes at a global level. - Proficiency in Tableau, Google Suite, Slack, Workday, and macOS highly preferred. - Workday Report certification is a plus. Requirements - The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. - The estimated salary range for this role based on the qualifications set forth in the job description is between $100,000 to $163,000. - This role will also be eligible for bonus/commission (as applicable), equity, and benefits. Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

Role Description As a Sr Software Engineer || (Data), you spearhead new initiatives, design and build world-class platforms to measure and optimize ad performance. You ensure the industry-leading scalability and reliability of mission-critical systems that process billions of real-time transactions daily. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics. - Design and build big data processing platforms handling tens of billions of transactions/day that serve thousands of clients and support advanced data pipelines. - Mentor a great team of motivated engineers by regularly reviewing code, looking for design breaches, providing meaningful and relevant feedback to developers, and staying up-to-date with system changes. - Explore the technological landscape for new ways of producing, processing, and analyzing data to gain insights into both our users and our product features. - Design, develop, and test data-driven products, features, and APIs that scale. - Continuously improve the quality of deliverables and SDLC processes. - Operate production environments, investigate issues, assess their impact, and develop feasible solutions. - Understand business needs and work with product owners to establish priorities. - Bridge the gap between Business / Product requirements and technical details. - Work in multi-functional agile teams with end-to-end responsibility for product development and delivery. Qualifications - Lead by example - design, develop, and deliver quality solutions. - Love what you do and are passionate about crafting clean code and have a steady foundation. - 6+ years of programming experience in coding, object-oriented design, and/or functional programming. - Deep understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Airflow, DBT, Big Query, Spark, Pub Sub Eco System (Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale. - Excellent SQL query writing abilities, data understanding and using distributed Data Stores like BigQuery. - Hands-on experience building low latency, high-throughput APIs, and are comfortable using external APIs from platforms. - Care about agile software processes, data-driven development, reliability, and responsible experimentation. - Genuine desire to automate decision making, processes, and workflows. - Experience with DevOps domain - working with build servers, docker, and containers clusters (Kubernetes). - Google BigQuery or Snowflake. - Experience in mentoring and growing a diverse team of talented data engineers. - B.S./M.S. in Computer Science or a related field. - Excellent communication skills and a team player. - Cloud environment, Google Cloud Platform. - Container technologies - Docker / Kubernetes. - Ad serving technologies and standards. Requirements - The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. - This role will also be eligible for bonus/commission (as applicable), equity, and benefits. Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

• Supervise and coordinate daily classification / labeling activities of team members. • Ensure all team members are up to date on training and latest policy updates • Provide guidance and support to team members, promoting a collaborative and productive work environment. • Monitor and evaluate employee performance, providing constructive feedback at least once per week and implementing improvement plans when necessary. • Ensure compliance with policies and procedures. • Identify training needs and coordinate with HQ Teams to ensure our Costa Rica site has the necessary support, knowledge and skill to perform with outstanding speed and accuracy • Foster a culture of teamwork, open communication, and continuous improvement with daily stand up meetings, calibration sessions and feedback. • Address and resolve conflicts within the team in a timely and effective manner, keeping in mind DVs CORE values PACT (Passion, Accountability, Collaboration, Trailblazing), and upholding all guidance in our company policies and EOR handbook. • Collaborate with other departments to streamline processes and enhance overall efficiency. • Track and report key performance indicators (KPIs) to upper management.

• Own the product strategy and roadmap for measurement and modeling, including MMM, Testing, Synthetic modeling, and MTA evolution • Define how different methodologies work independently and together • Partner closely with Data Science and Engineering to build and scale model-driven products and systems • Translate complex modeling concepts into clear product requirements, workflows, and outputs • Lead products from 0→1 through scaled adoption, balancing innovation with customer and business impact • Ensure modeling outputs are accurate, explainable, and aligned with customer expectations • Be a key driver in improving how models are delivered to customers, including speed, quality, and overall customer acceptance • Partner cross-functionally to evolve the end-to-end modeling delivery process—from configuration and validation to final output and adoption • Analyze model outputs and large-scale datasets to inform product decisions and prioritization • Work with Customer Success and Sales to understand customer needs, validate outputs, and close gaps in expectations • Drive product acceptance and readiness, ensuring what is delivered matches what was promised • Partner with Product Marketing on positioning and communicating complex measurement concepts clearly • Stay current on industry trends across measurement, attribution, privacy, and AI, translating them into product opportunities

• Lead engineering teams responsible for data ingress, pipelines, datalake adoption, Data APIs, permissions, and data access interfaces. • Own execution and technical direction across Rockerbox’s data foundation and customer-facing data access layers. • Ensure reliable, timely, and scalable client data delivery. • Align ingestion, aggregation, API access, permissions, and AI-enabled data workflows under clear ownership. • Partner with Product, Applications, Integrations, Data Science, Customer Success, and DV stakeholders on platform strategy. • Enable internal teams and customers to access Rockerbox data through APIs, CLI tooling, and future agentic workflows. • Improve team efficiency through automation, reduced maintenance burden, and clearer ownership. • Manage, develop, and retain engineers through a period of organizational transition. • Reduce bottlenecks between Data, Applications, and customer-facing product development.

• Own the delivery of custom integrations and partner-driven solutions, ensuring timelines are met and revenue opportunities are realized • Drive the successful rollout of new and evolving product capabilities, including configuration, setup, and backfill required to make them customer-ready • Act as the bridge between Product and Engineering to ensure what is built is fully usable in real-world customer environments • Support PM-led standard integrations by coordinating execution, resolving dependencies, and ensuring smooth delivery from build to launch • Serve as the escalation point for Rockerbox Implementation Specialists on complex or non-standard delivery scenarios • Lead delivery for new or customized product use cases, working closely with Customer Success to incorporate customer context and resolve conflicts • Identify and close gaps between product functionality and customer usage, especially in edge cases or early-stage features • Improve the speed, reliability, and scalability of product delivery through better processes and coordination

Role Description Work with a team of product managers, engineers and designers building products that provide data insights and measurement for the leading publishers in the world. - Responsible for the Campaign Pacing and Discrepancy Management product areas within the DoubleVerify Publisher Suite. - Focus on helping publishers to streamline ad operations and generate more revenue. - Interface with customers and internal customer facing teams in order to understand user pain points/needs, inform prioritization and drive meaningful outcomes for the business. - Collaborate with engineering and UX to brainstorm solutions and translate those solutions into product specifications. - Prioritize and execute the roadmap in an agile development environment. - Set, track and be accountable for OKRs for your product area. - Communicate priorities, timelines and status to all levels in the org. - May telecommute part-time. Qualifications - Bachelor’s degree in Analytics, Integrated Marketing or related field. - 5 years of progressive, post-baccalaureate experience in job offered or product management-related occupation in the digital advertising industry. Requirements - The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. - The estimated salary range for this role based on the qualifications set forth in the job description is between $185,000 to $231,000 per Year. - This role will also be eligible for bonus/commission (as applicable), equity, and benefits. - The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted. Not-so-fun fact Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

• Onboarding – leading with the onboarding of new clients • Be the main point of contact for any client questions or concerns – own specific client relationships from an Account Management perspective • Lead training sessions & improve the knowledge and skills of your clients • Lead impact review sessions, proving the ROI of Scibids & why we are a focal point of their plan • Strategize with your sales lead to grow and develop existing client business and win net new business • Problem-solving, working with the wider Scibids team to get answers to potential issues • First class custom service, we strive to have an approach that is forward thinking and opportunistic, given that we love to build strong working relationships with our clients, and the foundations of this come from the service

Role Description We are looking for a Senior Manager, DevSecOps to lead a group of engineers working across multiple teams integrating security into our DevOps, CI/CD, IaC pipelines, and AI/ML workloads, ensuring secure, compliant, and efficient software delivery across the organization. As a DevSecOps Sr. Manager at DoubleVerify, you will oversee technical design and execution across multiple functional areas while providing strategic leadership on DevSecOps best practices, cloud-native security, AI/ML security, and automation. You will lead teams of 2-5+ DevSecOps and security engineers across multiple infrastructure areas, fostering a culture of security throughout the software development lifecycle (SDLC) and AI/ML pipelines. This role requires balancing technical depth in areas such as Infrastructure-as-Code (IaC), container security, and AI security with strategic leadership to drive security initiatives across the organization. The ideal candidate will serve as a technical leader who can architect secure solutions for both traditional and AI workloads, develop their teams' capabilities, and work cross-functionally with engineering teams to embed security practices into every stage of development, deployment, and AI model lifecycle. Responsibilities - Manage and lead multiple DevSecOps teams, mentor and hire senior DevSecOps and security engineers, building high-performing teams focused on security excellence across traditional and AI workloads. - Secure AI/ML pipelines and infrastructure by implementing security controls for model deployment environments, ensuring protection against AI-specific threats such as prompt injection, data poisoning, and model extraction. - Establish AI security governance frameworks including policies for LLM usage, RAG (Retrieval Augmented Generation) systems security, MCP (Model Context Protocol) security, and AI supply chain risk management. - Implement automated security scanning for AI artifacts including model files, training datasets, and AI-generated code, integrating these checks into CI/CD pipelines alongside traditional SAST, DAST, and SCA tools. - Oversee security for AI workload identity and access management, ensuring proper authentication, authorization, and encryption for AI services, APIs, and vector databases used in RAG systems. - Lead AI security incident response for threats specific to AI/ML systems including adversarial attacks, model theft, data leakage through LLM outputs, and unauthorized AI service usage. - Ensure adherence to compliance standards such as SOC 2, ISO 27001, SOX, and MRC by automating compliance evidence collection, with special focus on AI governance and responsible AI principles. - Define and execute DevSecOps strategy aligned with business objectives, security requirements, and emerging AI security best practices across the organization. - Create architecture designs for security systems and services spanning multiple teams and infrastructure areas, including AI-specific security architectures. - Drive continuous improvement of security automation, AI security tooling, and processes across traditional and AI workloads. - Establish security metrics and KPIs to measure team effectiveness, security posture, and AI risk exposure. - Foster a culture of security awareness and AI security best practices across engineering, data science, and product teams. - Collaborate with senior/executive management regularly on security strategy, AI risk management, and cross-organizational security initiatives. Qualifications - 5-6+ years of experience in Cybersecurity/DevOps, or DevSecOps, with proven experience leading security teams of ~5+ engineers across multiple infrastructure areas. - Bachelor's degree in Computer Science, Information Systems, or equivalent experience in a related field. Requirements - AI/ML Security: LLM security (prompt injection, jailbreaking, data leakage), model security, AI supply chain security, adversarial ML defense, RAG system security, vector database security, MCP security. - AI Governance & Compliance: Responsible AI frameworks, AI risk assessment, model governance, AI audit trails, privacy-preserving ML techniques. - AI Pipeline Security: Securing model training environments, ML pipeline security, model versioning and provenance, AI artifact scanning, AI workload isolation. - AI Identity & Access: AI service authentication, API security for AI endpoints, token management for LLM services, workload identity for AI inference. - Network Security: Firewalls, segmentation, intrusion detection/prevention systems, AI traffic analysis. - Encryption and Cryptography: TLS/SSL, certificate management, encryption at rest and in transit, secure model storage. - Identity and Access Management: IAM, Keycloak, Teleport, Workload Identity, AI service accounts. - Operating System Security: Hardening, patch management, compliance frameworks. - Application Security: Container security, Kubernetes security policies, SAST, DAST, SCA tools, AI-generated code scanning. - Threat Intelligence and Analysis: Vulnerability scanning, AI threat detection, adversarial attack detection. - Incident Response and Forensics: Security incident handling, AI-specific incident investigation, model forensics. - Risk Management and Compliance: SOC2, ISO 27001, SOX, AI governance frameworks, audit preparation and evidence collection. - Security Architecture and Design: Zero Trust principles, defense in depth strategies, AI security architecture patterns. - Automation and Scripting: Security automation, ACME, certbot, Python, Bash, AI security tooling automation. - Cloud Security: GCP, AWS, OCI security controls and best practices, AI service security configurations. Benefits - Competitive salary range: $131,000 - $260,000 based on qualifications. - Eligible for bonus/commission (as applicable), equity, and benefits. Company Description DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. We operate at a massive scale, our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We are global, with R&D centers in New York, Paris, London, Munich, Belgium, and more. We believe that hiring people with a broad range of technical skillsets results in the highest satisfaction for our engineers and a strong return on investment for the company.

• Onboarding – leading with the onboarding of new clients • Be the main point of contact for any client questions or concerns – own specific client relationships from an Account Management perspective • Lead training sessions & improve the knowledge and skills of your clients • Lead impact review sessions, proving the ROI of Scibids & why we are a focal point of their plan • Strategize with your sales lead to grow and develop existing client business and win net new business • Problem-solving, working with the wider Scibids team to get answers to potential issues • First class custom service, we strive to have an approach that is forward thinking and opportunistic, given that we love to build strong working relationships with our clients, and the foundations of this come from the service