Senior Workday Security & Integration  Engineer

Department: Internal Systems
Reports to: VP, Corporate Systems
Location:  New York, NY 
Employment Type: Full-Time

About the Role

DoubleVerify is seeking a Senior Workday Administrator to serve as the primary owner and technical steward of the security and integration management within our Workday platform. This role is critical to enabling operational excellence, ensuring data integrity, and driving continuous platform optimization that supports our growing workforce and evolving business needs.

Reporting directly to the VP of Corporate Systems, you will be responsible for the ongoing maintenance, configuration, and enhancement of Workday, while serving as the bridge between business stakeholders and technical implementation. You will ensure platform stability, security compliance, and seamless integration with our broader enterprise systems ecosystem.

Key Responsibilities

• Serve as the primary owner Workday the security and integration configurations and processes

• Manage security groups, tenant configurations, and data integrity across the production and sandbox environments

• Proactively identify and implement platform enhancements that improve user experience, reduce manual effort, and increase data accuracy

• Participate in bi-annual Workday release management, including feature evaluation, testing, and controlled deployment to minimize business disruption

• Partner with HR, Finance, Payroll, and other stakeholders to design scalable solutions that support business growth

• Document all configurations, business processes, and custom solutions to maintain institutional knowledge and support audit readiness

• Own the full lifecycle of Workday integrations connecting to external systems (payroll providers, benefits carriers, time tracking systems, etc.)

• Develop, maintain, and optimize custom integrations using:

  • Enterprise Interface Builders (EIBs)

  • Core Connectors

  • Workday Studio

  • RESTful/SOAP web services

• Monitor integration performance, troubleshoot failures, and ensure data accuracy across connected systems

• Implement error handling, logging, and alerting mechanisms to proactively address integration issues

• Configure and maintain role-based and user-based security groups, domain security policies, and business process security policies

• Conduct quarterly security audits to ensure proper segregation of duties and compliance with internal controls

• Manage user provisioning, deprovisioning, and access reviews in accordance with SOC 2 and other compliance requirements

• Partner with IT Security to enforce data privacy standards and respond to access-related audit findings

• Monitor system performance, identify bottlenecks, and implement tuning recommendations

• Manage tenant operations including sandboxing, data loads, and configuration migrations

• Leverage XML, XSLT, and APIs to manage complex data transformations and integrations

• Stay current on Workday product roadmap and emerging features, evaluating applicability to DoubleVerify's needs

• Partner closely with HRIS Team and HR Stakeholders and contribute to the broader Corporate Systems strategy by identifying opportunities for automation, AI enablement, and cross-platform optimization

• Partner and participate in all phases of the software development lifecycle, including requirements gathering, solution design, implementation, testing, release, and hypercare

• Provide expertise in security and integrations architecture, ensuring appropriate access controls, data privacy, regulatory compliance, and operational efficiency across HCM, Financial, and Payroll modules.

Required Qualifications

Experience

• 5+ years of hands-on Workday Security administration experience, including at least 2 full implementation or upgrade cycles

• 3+ years developing and managing Workday integrations (EIBs, Core Connectors, Studio)

• Experience managing security frameworks, business processes, and tenant operations in production environments

Technical Skills

• Expert-level proficiency in Workday security and integration configuration, including business processes, calculated fields, and custom validations

• Strong integration development skills using Workday Studio, EIBs, Core Connectors, and web services (SOAP/REST)

• Proficiency with XML, XSLT, and API-based data transformations

• Experience with Workday Report Writer, Advanced Reports, and Dashboards

• Understanding of HR data models, payroll processes, and benefits administration workflows

• Mastery of creating, maintaining, and auditing security groups (user-based, role-based, constrained, unconstrained, intersection, segmented, etc.)

• Proficient in configuring ISUs/ISSGs and their domain and business process security policies, including knowledge of how to secure Workday web services.

• Strong working knowledge of managing authentication policy, authenticated login with SAML SSO, Multi-Factor Authentication, OAuth 2.0, IP restriction, certificates and keys.

• Practiced in provisioning Implementer tenant access, Service Center Representative configuration, migration access, and proxy access policy.

Soft Skills

• Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders

• Strong analytical and problem-solving abilities, with a focus on root cause analysis

• Comfortable working with business stakeholders to diagnostically research and solve business process and access issues.

• Proven ability to manage competing priorities in a fast-paced environment

• Detail-oriented with a commitment to data accuracy and documentation standards

• Collaborative mindset with experience partnering across HR, Finance, IT, and business functions

• Ability to develop a detailed implementation plan to monitor and track progress, and capable of adapting to change in project scope and schedule.

Preferred Qualifications

• Workday Pro Certifications in HCM, Integrations, or Security

• Familiarity with iPaaS platforms (e.g., Workato, Boomi, MuleSoft) for hybrid integration scenarios

• Background in SOC 2, GDPR, or other compliance frameworks

• Experience in a high-growth SaaS or technology company environment

• Knowledge of scripting languages (Python, JavaScript) for automation

• Workday Business Process configuration experience.

• Workday implementation tools experience (EIB, Customer Central Management, etc.)

• Workday experience building, modifying, and securing custom reports, dashboards, and calculated fields.

Senior Manager, DevSecOps

What you'll do

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.

Who we are

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. If you ever saw an Ad online via Web, Mobile, or CTV device then there are chances that it was analyzed by us.

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 verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in  in under 10ms.

We are global, we have R&D centers in New York, Paris, London, Munich, Belgium, and more. If you like to solve big data challenges and want to help us build a better industry then your place is with us.

We in DoubleVerify believe that giving 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. We want people who love the idea of building secure automation tools and platforms that enable our developers to ship code safely and efficiently.

Responsibilities will include:

• 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.

Who you are

Experience & Leadership:

• 5-6+ years of experience in Cybersecurity/DevOps, or DevSecOps, with proven experience leading security teams of ~5+ engineers across multiple infrastructure areas.
• Leads teams of two or more functional areas with authority over team processes, tools, and priorities; decisions may jeopardize business activities.
• Regularly interacts with senior/executive management, communicating timeline, scope, and technical concerns to all stakeholders.
• Leads Sev1/2 incidents for team's areas of responsibility and provides strategic direction during major security events.
• Exercises supervision over costs, methods, and staffing with responsibility for resource utilization and budget for teams; may have subordinate supervisors or team leads.
• Bachelor's degree in Computer Science, Information Systems, or equivalent experience in a related field.

DevSecOps Technical Expertise:

• 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.

Platform & Tooling:

• AI/ML Platforms: Vertex AI, SageMaker, Azure ML security configurations, LLM API security (OpenAI, Anthropic, Google AI), vector database security (Qdrant, Pinecone, Weaviate, ChromaDB).
• AI Security Tools: AI red teaming tools, prompt injection detection, model scanning tools, AI observability and monitoring platforms, AI governance platforms.
• AI Development Tools: LangChain security, LlamaIndex security, AI agent framework security, model registry security, MLflow security.
• Cloud Platforms: GCP, AWS, OCI with expertise in cloud-native security controls, AI service configurations, and AI workload security.
• CI/CD: GitHub Actions, GitLab CI, or Jenkins, and Harness with AI security integrations.
• Container Orchestration: Kubernetes and Docker, with focus on container security and AI workload orchestration.
• Infrastructure-as-Code (IaC): Terraform, Ansible, or Crossplane for both traditional and AI infrastructure.

Leadership & Management:

• Creates architecture designs for systems and services spanning multiple teams and infrastructure areas.
• Researches new technologies and evaluates for adoption, particularly in AI security domain.
• Provides blueprints for new services and capabilities across teams.
• Creates epics and prioritizes work across multiple teams with strong expertise in primary specialization and working knowledge of others.
• Excellent communication and stakeholder management skills with ability to influence cross-functional teams and senior leadership.
• Proven ability to balance technical execution with strategic planning, team development, and business objectives.

Resume Keywords

Highest

DevSecOps AI Security LLM Security Security CI/CD Infrastructure as Code (IaC) Cloud Security Application Security Vulnerability Management Compliance Automation SOC 2 ISO 27001

Medium

AI/ML Security Model Security RAG Security Prompt Injection SAST DAST SCA Container Security Kubernetes Security Threat Modeling Terraform Ansible AWS GCP Vertex AI SageMaker

Low

Vector Database Security AI Governance Adversarial ML Model Provenance SonarQube Snyk Aqua Security Twistlock Puppet Harness PCI HIPAA LangChain MLflow

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 $131,000 - $260,000 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!

Location: New York City, NY (Hybrid; Tuesday through Thursday)

Who We Are

DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.  Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Role Overview

DoubleVerify is hiring a Staff Enterprise Architect to help shape how our business domains, systems, and data work together at enterprise scale.

This is a hands-on individual contributor role for someone who can connect business strategy, operating models, data flows, and technical implementation. You will help define how core business domains should interoperate, where ownership should live, how systems should interface, and what sequence of changes will simplify operations, improve control, and accelerate delivery across both enterprise business platforms and proprietary internal systems.

In the near to mid-term, this role will likely spend significant time on priority journeys such as Quote-to-Cash (Q2C), adjacent revenue and billing workflows, and the interfaces between enterprise business systems and proprietary operational platforms, but the mandate is enterprise-wide.

This is not a pure governance role and not a people-management role. Success comes through systems thinking, technical credibility, strong judgment, and the ability to align and influence stakeholders from senior leadership through individual teams.

The ideal candidate has a strong operator instinct: someone who sees systems end to end, identifies where ownership and boundaries should sit, understands how data should move, and can turn an architectural vision into practical change.

You should be comfortable moving between strategy and execution: facilitating alignment with senior stakeholders, producing clear architecture artifacts, and getting hands-on with code, integrations, prototypes, and technical validation when needed.

What you’ll do

Enterprise architecture vision

• Define and communicate a clear target-state architecture for key enterprise business domains across process, data, applications, and integrations.

• Translate business strategy into phased roadmaps, decision frameworks, and measurable outcomes such as cycle-time reduction, risk reduction, cost savings, and improved operational clarity.

• Identify where the company should simplify, consolidate, standardize, automate, or establish clearer systems of record.

Domain design and operating model

• Lead domain discovery and alignment workshops to define bounded contexts, ownership, decision rights, and interfaces across business domains.

• Help the organization establish rigorous domain ownership so teams take clear responsibility for their processes, data, controls, and change management.

• Create practical models such as capability maps, domain maps, RACIs, and responsibility boundaries that leadership and teams can actually use.

Interfaces, data flows, and technical architecture

• Map end-to-end process and data flows, identify bottlenecks and ambiguity, and drive clarity around upstream/downstream responsibilities.

• Define stable interface patterns and data contracts between systems and teams, with enough rigor that engineering teams can build against them.

• Drive architectural decisions around systems of record, integration patterns, workflow automation, and domain boundaries.

• Clarify which capabilities should live in third-party enterprise platforms versus proprietary internal systems, and define the interface, ownership, and control model between them.

Hands-on technical validation

• Build prototypes, reference implementations, lightweight tools, or code-based proofs of concept when needed to validate architecture decisions and accelerate execution.

• Engage directly with APIs, integrations, data pipelines, automation platforms, and application architecture to de-risk key decisions.

• Bring enough programming and technical depth to challenge assumptions, pressure-test designs, and help teams move from concept to implementation.

Governance, influence, and execution

• Run and shape the architecture decision-making process, including principles, design reviews, escalation paths, and follow-through on critical decisions.

• Present and defend the architectural vision to senior management, while also working effectively with domain owners, product leaders, engineers, and operators.

• Proactively identify blockers, risks, and cross-team dependencies, and drive them to resolution rather than letting work stall in ambiguity.

• Raise the overall quality of decisions across the organization by coaching teams, improving standards, and introducing reusable patterns.

AI / LLM enablement

• Maintain a strong working understanding of the current state of AI/LLM systems and how they can be applied pragmatically in an enterprise environment.

• Identify opportunities to use AI/LLM capabilities to improve business processes, internal tooling, automation, knowledge access, and engineering leverage.

• Help teams adopt AI/LLM-enabled patterns responsibly, with attention to governance, evaluation, quality, security, reliability, latency, and cost.

What success looks like

First 90 days

• Produce a crisp current-state view of one or more priority enterprise journeys, including domains, owners, systems, interfaces, risks, and unclear boundaries.

• Establish an architecture working cadence with the right stakeholders and a clear path for making and documenting decisions.

• Socialize an initial target-state view and phased action plan for a high-priority area.

• Build working fluency in DoubleVerify's adtech/media context, commercial data models, and the language used by revenue, operations, and engineering teams.

Within 6 months

• Drive agreement on ownership and interface boundaries for key business domains.

• Put in place practical architecture artifacts and standards that teams actively use, rather than documentation that sits on the shelf.

• Demonstrate visible impact on at least one meaningful cross-functional initiative through clearer design, faster decision-making, or reduced operational complexity.

Within 12 months

• Help the organization operate with significantly better clarity around domain ownership, system boundaries, and enterprise workflows.

• Reduce recurring ambiguity, rework, and cross-team friction in core business processes.

• Establish the role as a trusted source of architectural direction, technical judgment, and execution support across business and engineering leadership.

What you bring

• 10+ years of experience in enterprise architecture, principal architecture, business systems transformation, or a comparable role with cross-functional enterprise scope.

• Proven ability to define a vision and translate it into execution, with measurable outcomes rather than only proposals or documentation.

• Strong systems thinking across business processes, data architecture, application architecture, and integrations.

• Hands-on technical depth, including the ability to write code, build prototypes, and work directly with APIs, automation, and data systems.

• Strong understanding of modern enterprise platforms and patterns, including systems of record, workflow automation, integration architecture, and data movement across domains.

• Experience working across both large enterprise third-party applications and proprietary internal systems, with sound judgment about where process logic, data ownership, and controls should live.

• Excellent written and verbal communication; able to create clear architecture artifacts and present complex ideas convincingly to both executives and practitioners.

• Strong interpersonal skills and high judgment; able to align stakeholders, influence without authority, and handle disagreement constructively.

• Strong execution mindset, including proactive escalation, risk management, and follow-through on ambiguous cross-functional work.

• Good understanding of the latest progress in AI/LLM systems, with the ability to distinguish real enterprise value from hype and apply these technologies thoughtfully.

Nice to have

• Experience with large-scale enterprise platforms such as CRM, CPQ, billing, ERP, finance, BI/analytics, or adjacent business-process systems.

• Familiarity with adtech, martech, or adjacent digital-media environments, including concepts such as account hierarchies, campaign structures, DSP data, measurement, and revenue workflows.

• Experience with domain-driven design, capability modeling, operating-model design, or pragmatic enterprise architecture frameworks.

• Experience in organizations undergoing process simplification, automation, operating-model redesign, or systems consolidation.

• Experience shipping AI/LLM-enabled internal platforms, workflow automation, knowledge tools, search/RAG systems, or evaluation and monitoring workflows.

• Background in operations, RevOps, COO-style transformation work, or other roles that required turning fragmented processes into clear operating systems.

Why this role matters

• You will help shape how a complex business operates across systems, teams, and data flows.

• You will work on problems that span architecture, operating model, automation, and execution.

• You will have the opportunity to influence senior leadership while staying close to the technical details.

• You will play a key role in helping the organization bring more rigor, ownership, and clarity to critical enterprise workflows.

The successful candidate’s starting salary will be determined by a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and 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 $144,000.00 - $286,000.00. 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!

Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

Who you are

• 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc.
• Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems.
• Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc.
• Experience working with Docker, Kubernetes and designing scalable microservices architecture.
• Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.).
• Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink.
• Experience working with cloud providers such as GCP or AWS
• BSc in Computer Science or equivalent experience.
• Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing.
• A versatile developer with a “getting-things-done” attitude.

Nice to have

• Previous experience with online advertising technologies is a big plus.
• Familiarity with the cloud-native computing foundation.

#Hybrid#

Who We Are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What You Will Do

We're looking for a talented Software Engineer with enthusiasm for AI/GenAI to join our innovation-focused team building agentic AI systems autonomous, reasoning-driven software agents capable of orchestrating complex tasks across tools, APIs, and data sources.

You'll design and build scalable backend systems that integrate large language models (LLMs) and other AI technologies into production-grade services. This role blends backend engineering, AI integration, and rapid prototyping, with room to learn, experiment, and deliver impactful, scalable solutions.

• Architect and implement distributed services that power AI-driven applications.
• Implement multi-step reasoning pipelines, retrieval-augmented generation (RAG), and domain-specific AI capabilities.
• Build robust APIs, plugins, and integrations enabling AI agents to interact with external systems and data sources.
• Create and refine proof-of-concepts, validating ideas quickly before scaling to production.
• Implement monitoring, evaluation, and logging systems to track AI-powered features in production.
• Work closely with product managers, designers, data scientists, and AI engineers to deliver user-focused solutions.
• Stay curious about emerging AI frameworks, tools, and best practices to improve reasoning, planning, and autonomy in backend services.

Who You Are

• Backend Specialist with a Passion for AI/GenAI, strong systems skills, and eagerness to grow in AI.
• 5+ years in Python /Java/Scala/C#/ Go
• Familiarity with LLM frameworks (LangChain, LangGraph, Haystack, etc.) or willingness to learn.
• Basic understanding of prompt engineering, vector databases, and retrieval-augmented generation (RAG).
• Solid knowledge of cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Proven track record in building scalable, distributed systems.
• Strong problem-solving, ownership, and collaboration skills.

Nice-to-Have Skills

•  Exposure to reinforcement learning, multi-agent systems, or autonomous planning.
• Interest in ML Ops, AI model deployment, and scaling AI workloads.
•  Experience with data engineering for AI (ETL pipelines, feature stores, embeddings).
•  Any experience building AI-powered platforms or agent-based systems.

#Hybrid#

Hybrid (3 days per week in office) 

Who We Are 

DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.  Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

What You’ll Do

• Build and maintain the reliability, scalability, and performance of our digital media measurement platforms
• Implement observability best practices, including metrics collection, dashboarding, and alerting strategies that support proactive reliability improvements
• Reduce MTTR for critical incidents through automation, improved observability, and proactive monitoring
• Respond to incidents and drive them to resolution, managing Sev1/Sev2 situations
• Monitor and maintain high availability infrastructure and services across GCP, AWS, OCI, and on-premises environments
• Lead technical projects from planning through deployment, ensuring proper stakeholder communication and team enablement.
• Build and deploy automations to eliminate operational toil and improve efficiency across deployment workflows, validation scripts, and self-service capabilities
• Leverage AI-assisted development tools  to accelerate automation development and problem resolution
  Build custom integrations and MCP servers for monitoring platforms to enable programmatic access and AI-driven analysis
• Implement Infrastructure-as-Code using Terraform, Helm charts, Python and scripts, and configuration management tools to ensure repeatable, version-controlled infrastructure deployments
  Develop production automations for routine operational tasks, reducing manual intervention and accelerating task completion
• Create and maintain documentation, runbooks, and SOPs in Confluence to ensure consistent incident response across the team
• Participate in on-call rotations and post-incident reviews to minimize downtime and prevent recurrence

Required Experience & Skills

• 4+ years in Site Reliability Engineering, DevOps, or related operational roles with proven experience in Linux/Unix systems administration
  proficiency in scripting and programming languages such as Python, Bash, or Go for automation and tool development
• Strong experience with cloud infrastructure and services across GCP, AWS, and OCI, as well as container orchestration tools like Kubernetes
• Expertise in monitoring and observability tools such as Prometheus, Grafana, Splunk, Nagios,
• Hands-on experience with Infrastructure-as-Code tools like Terraform, Ansible, or Helm
• Proven ability to develop and track SLIs, SLOs, and SLAs to drive reliability improvements

 Technical Knowledge

• Deep understanding of networking, DNS, load balancing, and CDN technologies
• Familiarity with databases (SQL, NoSQL, Vertica, MongoDB, Snowflake) and data pipeline technologies
• Knowledge of CI/CD pipelines, GitLab, and deployment automation
• Experience with workflow automation platforms is a strong plus

Soft Skills & Mindset

• Exceptional communication skills with the ability to collaborate across teams and explain technical concepts clearly
• Proactive problem-solving approach with a focus on automation and continuous improvement
• Ownership mentality — you take full responsibility for complex challenges and reliably deliver outcomes
• Trailblazing spirit — innovative use of AI, automation, and new technologies to solve problems and drive improvements
• Passion for mentorship and knowledge sharing, elevating the capabilities of the entire team

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Industry certifications such as
  • AWS Certified DevOps Engineer
  • Google Professional Cloud DevOps Engineer
  • Certified Kubernetes Administrator (CKA), or Terraform/Grafana certifications
• Experience with AI-assisted development using tools like ChatGPT, Cursor, Glean, or Copilot
• Familiarity with security best practices in cloud and containerized environments

The successful candidate’s starting salary will be determined by a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and 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 $89,000.00 - $178,000.00. 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!

About DV & Scibids

"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.

About the Role

The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work. 

As a Senior Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution.

This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer!

On a day to day basis, your responsibilities will include:

• Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring.
• Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality.
• Working with massive datasets (billions of ad impressions/month) and millions of variables.
• Solving non-routine analysis problems (not handled by off-the-shelf ML solvers).
• Solving challenging scaling/engineering problems as our system produces thousands of ML models per day.
• Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement.
• Identifying and automating any repetitive process taking place at Scibids, including cases where this means developing some AI routines replacing “human common sense.”
  
  

Qualifications

Minimum qualifications:

• MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning).
• 2 to 5 years of professional experience in Data Science with Python/C++.
• Passion for automation and data-driven decisions.

Preferred qualifications:

• Proven professional experience in a SQL-like language.
• Experience deploying machine learning models into production environments.
• Previous experience leading technical projects or mentoring team members.
  
  

Technical stack relevant to the position

• Python
• SQL
• Kubernetes, Docker, Github
• Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore...

Others

• Contract type: full-time position (French “CDI”).
• Based in Paris (75008) – Champs-Elysées
• Preferred availability: ASAP
• Compensation: competitive package including fixed salary, annual bonus and company equity
• Exact figures depend on profile.

#Hybrid 

Hybrid (3 days in office, flexible scheduling)

Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

About the Role

As a member of the Data Platforms team at DoubleVerify, you will enhance the development experience for engineering and product teams by delivering reliable data platforms. You will shape and optimize our core data services with  focus on data warehouse technologies and platforms that enable seamless data movement and governance 

Our Mission: Enable secure, self-service data at scale across DoubleVerify through a governed platform.

Your Role

As a Senior Data Platforms Engineer, you will own the end-to-end lifecycle of critical data platforms, focusing on data warehouse technologies (Snowflake, Mongo, SQL Server, BigQuery, CloudSQL) and data movement platforms(Airbyte). You will ensure their reliability, scalability, and alignment with strategic objectives while enabling teams to work with data independently.

Your Key Responsibilities

Technical Leadership

• Provide expert guidance on data warehouse technologies and data movement platforms 
• Collaborate with developers, infrastructure engineers, and product teams to ensure platform standards and best practices

Innovation and Strategy

• Champion DevOps practices, Infrastructure as Code (IaC), and CI/CD pipelines
• Contribute to the platform's technology roadmap

Hands-On Development

• Design platforms for seamless data movement from various sources to data warehouses
• Develop and maintain data warehouse platforms and data movement infrastructure
• Build self-service tools and platforms for efficient data movement
• Develop automation using GitLab, terraform any scripting
• Experience with Airbyte and Liquibase setup is a plus 

Platform Reliability & Ownership

• Ensure scalability and performance of data platforms, implement monitoring, alerting, and incident response processes
• Optimize data warehouse performance and data movement pipelines

Required Experience

• 5+ years in DevOps, Platform Engineering, or Data Engineering with a focus on data infrastructure
• Deep expertise in at least one data warehouse technologies – Snowflake, BigQuery, CloudSQL, SQL Server, or MongoDB
• Strong experience in data movement and integration – Building or operating platforms for data movement, ETL/ELT pipelines, or data integration tools, deployment tools 
• Proven track record implementing CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or equivalent)
• Proficiency in programming – Python, Java, Go, Bash, or equivalent
• Cloud infrastructure expertise – Strong understanding of cloud platforms, preferably GCP
• Experience with data platform tooling – Airbyte, Liquibase, dbt, or similar

Preferred Qualifications

• Strong basics in data warehousing systems
• Experience with Airbyte or similar data integration platforms
• Experience with Liquibase or similar database schema change management tools
• Experience with data cataloging and governance tools (Atlan, or similar)
• Understanding of data quality frameworks and monitoring solutions
• Familiarity with Kubernetes and container orchestration
• Experience with monitoring and observability tools (Prometheus, Grafana, Datadog, or similar)

Soft Skills

• Collaborative team player with excellent communication skills
• Passion for technology with ability to inspire others with customer-centric mindset
• Comfortable with ambiguity and able to drive clarity in complex domains

What We Offer

• Opportunity to work on cutting-edge data platforms serving the entire organization
• Exposure to modern data warehouse technologies and data movement solutions
• Impact on how DoubleVerify teams work with data at scale
• Competitive compensation and benefits

How to Apply

If you're passionate about building reliable, scalable data platforms and enabling teams to work with data efficiently, we'd love to hear from you. Please submit your application through our careers portal.DoubleVerify is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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 $111,000 - $222,000. 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!

Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.

What will you do

DoubleVerify is seeking a Sr Technical Program Manager to drive successful delivery of complex software projects. You'll orchestrate cross-functional collaboration, keep projects on track, and ensure stakeholders stay informed while continuously improving engineering processes. The ideal candidate will be tech and AI savvy, proactive, highly communicative, and a team player and gets things done.

• Own end-to-end execution for assigned software projects, understanding business value, critical paths, and milestones
• Build and maintain project timelines 
• Drive project kickoffs and cross-team steering meetings
• Manage dependencies across teams and communicate handoffs to external stakeholders
• Provide regular written / verbal status updates utilizing automation combined with strategic thinking to provide updates on timing, risk, and action items
• Own meeting lifecycle: create agendas, facilitate discussions, capture action items with ownership
• Follow up proactively on action items and hold owners accountable
• Drive meetings toward clear outcomes, keeping conversations focused
• Lead go/no-go meetings with engineering, QA, and product stakeholders
• Assess and optimize engineering processes to drive team efficiency
• Coach teams on Agile practices and audit scrum ceremonies for continuous improvement
• Support and facilitate planning processes

What will you do

• 5+ years of technical program management experience in software development
• Proactive mindset with strong organizational skills and attention to detail
• Proven track record delivering complex, cross-functional programs on time
• Strong project management skills: timeline development, risk management, stakeholder communication
• Experience using AI for automation
• Expert proficiency with Jira 
• Deep familiarity with Agile/Scrum and experience coaching teams
• Exceptional written and verbal communication skills

Nice to have

• Experience in AdTech, MarTech, or SaaS environments
• Background with distributed/remote teams
• PMP, CSM, or relevant certifications

NYC Global HQ | Senior DevOps-CICD Engineer | Hybrid (3 days in office, flexible scheduling)

Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

The Opportunity

We are looking for a highly skilled and motivated Senior DevOps  Engineer to join our team. You will be instrumental in building, maintaining, and scaling our infrastructure and CI/CD pipelines. This role is for a hands-on expert who is passionate about automation, system reliability, and integrating cutting-edge technologies. The ideal candidate will have deep expertise in Kubernetes, strong scripting skills, and a comprehensive understanding of the modern DevOps landscape.

Key Responsibilities

• Advanced CI/CD & GitOps: Design and manage sophisticated CI/CD pipelines using GitLab/GitHub Actions and Jenkins, implementing GitOps practices with tools for declarative, automated deployments to Kubernetes.
• Container Orchestration: Serve as the subject matter expert for Kubernetes, managing and scaling clusters on GCP/AWS. You will use Helm for application packaging and deployment and work with other cloud-native tools to ensure reliability and security.
• Infrastructure as Code (IaC): Use Terraform to define, provision, and manage cloud infrastructure and services on our cloud platforms, ensuring consistency, repeatability, and version control.
• Observability: Implement and maintain a full-stack observability platform. This includes building custom dashboards and alerts with Grafana based on metrics from Prometheus, analyzing logs with Loki, and tracing application performance to identify and resolve issues proactively.
• DevSecOps: Embed security practices into the CI/CD pipeline and manage secrets securely using HashiCorp Vault or cloud-native secret managers.
• Scripting & Automation: Develop robust automation scripts and tools using Python or GoLang to automate system operations, integrate services, and improve workflow efficiency.
• Full Stack Collaboration: Work closely with full-stack development teams to optimize application architecture for the cloud, improve code deployment processes, and troubleshoot performance issues from the application layer to the infrastructure.

Required Skills & Qualifications

• Experience: 4+ years in a DevOps, SRE, or Cloud Engineering role.
• Containerization & Orchestration: Expert-level knowledge of Kubernetes, Docker, and Helm.
• Cloud Platforms: Proficiency with either GCP or AWS services.
• CI/CD & GitOps: Deep experience with CI/CD platforms like GitLab/GitHub Actions and Jenkins.
• Infrastructure as Code: Hands-on experience with Terraform.
• Observability & Monitoring: Proven experience with the Prometheus/Grafana/Loki stack for monitoring, logging, and alerting.
• Scripting & Automation: Strong programming skills in Python or GoLang, as well as shell scripting.
• DevSecOps: Familiarity with embedding security in the CI/CD pipeline and secret management with HashiCorp Vault.
• Full Stack: A solid understanding of full-stack development principles to effectively support development teams.

Bonus Qualifications

• Experience with GitOps tools like ArgoCD or Flux.
• Relevant certifications such as  AWS/GCP Certified.
• Experience with advanced cloud-native services like Cloudflare, Cloud Run, or AWS Lambda.
• Familiarity with other observability tools like Jaeger or OpenTelemetry.

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 $111,000- $222,000. 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!

Senior Data Engineer I - Scibids

Role: Senior Data Engineer I - Scibids
Location: New York, NY
Hybrid: 3x a week on site

Who we are:

"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids AI empowers global brands to drive specific KPIs and tangible outcomes more effectively while improving operational efficiency and reducing manual lift. DV technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk and DV360 (Google / YouTube), to mention a few.

DV provides end-to-end, comprehensive measurement and granular optimization. DV is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world’s largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com.

The Role:

As a Senior Data Engineer, you will own and build critical data and integration capabilities at the core of DV Scibids’ product expansion. You will explore partner APIs, help Product and Engineering evaluate technical opportunities and constraints, and build reliable services and data flows on top of those integrations. You will also expose internal endpoints for other DV teams, consume and reconcile data from systems across DV, and work with very large datasets generated by adtech auction environments.

This position combines strong software engineering fundamentals, a product mindset, curiosity for external systems, and the ability to design pragmatic, scalable data solutions in a complex ecosystem.

What you will do:

• Explore, evaluate, and integrate external partner APIs to support DV Scibids product expansion.
• Work closely with Product to clarify what partner platforms technically allow, identify constraints early, and help shape product decisions accordingly.
• Design, build, and maintain backend services and endpoints consumed by other DV teams.
• Build and maintain robust data pipelines and services that ingest, transform, and reconcile data from partner platforms and internal DV systems.
• Work with massive datasets generated by digital advertising auctions and build systems that remain reliable and performant at scale.
• Collaborate with Data Science, Analytics, Product, and other Engineering teams to bridge business needs, platform capabilities, and Scibids optimization logic.
• Operate production systems, investigate issues, assess impact, and implement durable fixes.
• Continuously release features using automated deployment tools and infrastructure-as-code frameworks.
• Improve observability, reliability, and maintainability of the systems you own.
• Provide code reviews, contribute to system design discussions, and mentor junior engineers.
• Partner with AI platform teams to enable deployment of agentic solutions

Who you are:

• You have 3+ years of experience in data engineering, backend engineering, or a similar role.
• You have strong programming skills in Python and SQL; experience with Java, Rust, or similar languages is a plus.
• You have experience integrating with external APIs and building production services on top of them.
• You are comfortable reasoning about ambiguous external platform behavior and turning that into robust internal abstractions.
• You have experience designing and operating data pipelines or services that work with large-scale datasets.
• You are familiar with cloud environments and modern engineering practices such as Git, CI/CD, Docker, and container orchestration.
• You are comfortable collaborating with product managers and non-technical stakeholders, and can help translate platform constraints into actionable product decisions.
• You have strong communication skills and work well across teams.
• You care about automation, reliability, observability, and data-driven decision making.
• We use AI-augmented development  style, familiarity with Claude Code or Cursor is welcome but not mandatory
• Familiarity with AdTech or auction-based systems is not required, but is a plus.

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 $89,000.00 - $178,000.00. 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!

Director of Engineering - PinAI

Who We Are

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Role Overview

We are seeking an exceptional Director of Engineering to lead our PinAI team, DoubleVerify's strategic initiative in conversational AI and agentic systems. In this role, you will spearhead the development of an AI-powered conversational interface for Pinnacle, transforming how our Fortune 500 clients interact with and derive insights from their advertising data.

The PinAI platform leverages cutting-edge AI technologies including agentic AI architectures, Model Context Protocol (MCP), and advanced LLM capabilities to deliver intelligent, context-aware analytics through natural language interactions. This role is ideal for a visionary technical leader who is passionate about AI innovation, has deep experience in conversational AI systems, and possesses exceptional architectural, engineering, and people leadership skills.

Location: New York, NY (Hybrid)

What You'll Do

Strategic Leadership & Vision

• Define and execute the technical vision and roadmap for PinAI/Pin Chat, aligning AI initiatives with DoubleVerify's strategic objectives
• Lead the design and architecture of agentic AI systems that leverage Model Context Protocol (MCP) for scalable, extensible AI agent frameworks
• Drive innovation in conversational AI experiences that transform complex analytics into intuitive, natural language interactions
• Establish technical standards for AI/ML engineering, including evaluation frameworks, prompt engineering, and model performance optimization
• Partner with Product, Data Science, and Architecture teams to translate business requirements into scalable AI solutions

Team Leadership & Development

• Build, mentor, and scale a world-class team of AI/ML engineers, software engineers, and technical leads
• Attract top-tier talent with expertise in LLMs, agent architectures, conversational AI, and distributed systems
• Foster a culture of innovation, experimentation, and continuous learning in AI technologies
• Provide hands-on technical guidance through architecture reviews, design discussions, and code reviews
• Develop career paths and growth opportunities for team members across AI and engineering disciplines

Technical Excellence & Delivery

• Oversee the development of agentic AI systems using frameworks like LangChain, LangGraph, and custom agent architectures
• Implement robust evaluation (evals) frameworks to measure and improve AI agent performance, accuracy, and user satisfaction
• Design and build conversational AI interfaces that understand context, maintain conversation history, and provide intelligent responses
• Architect solutions leveraging MCP (Model Context Protocol) to create modular, reusable AI components and tools
• Integrate with Pinnacle's existing analytics infrastructure including Looker, data APIs, and authentication systems
• Ensure production-grade quality through comprehensive testing, monitoring, observability, and reliability engineering

Cross-Functional Collaboration

• Collaborate with Product Management to define AI-powered features and user experiences
• Partner with Data Science teams on model selection, fine-tuning, and prompt optimization strategies
• Work with Platform Engineering to ensure scalable infrastructure for LLM deployments and agent orchestration
• Engage with Security and Compliance teams to implement responsible AI practices and data governance
• Coordinate with UX/UI teams to create seamless conversational interfaces

Operational Excellence

• Define and track KPIs for AI system performance, including response accuracy, latency, user satisfaction, and engagement metrics
• Implement MLOps best practices for model deployment, versioning, monitoring, and continuous improvement
• Optimize costs associated with LLM API usage and infrastructure while maintaining quality
• Establish incident response protocols and SLAs for AI-powered features
• Drive continuous improvement through retrospectives, evals analysis, and user feedback loops

Who You Are

Required Qualifications

Experience:

• 10+ years of software engineering experience building production systems at scale
• 5+ years in engineering leadership roles, managing teams of 5-15+ engineers
• Hands-on experience with AI/ML systems, particularly LLMs and conversational AI
• Proven track record of delivering AI-powered products from concept to production

Technical Expertise:

• Agentic AI & LLM Frameworks: Deep expertise in building agentic systems using frameworks like LangChain, LangGraph, AutoGPT, or similar agent architectures
• Model Context Protocol (MCP): Experience with MCP or similar protocols for building modular AI agent components and tool integrations
• Conversational AI: Strong background in designing and implementing conversational AI systems, dialogue management, and natural language understanding
• Evaluation Frameworks: Expertise in building comprehensive evaluation (evals) systems for LLM applications, including accuracy metrics, hallucination detection, and human-in-the-loop feedback
• LLM Technologies: Hands-on experience with major LLM providers (OpenAI, Anthropic, Google, etc.) and open-source models
• Backend Engineering: Proficiency in Python, Java, Scala, or similar languages for building scalable backend systems
• Cloud & Infrastructure: Experience with cloud platforms (GCP, AWS, Azure) and containerization (Kubernetes, Docker)

Leadership & Soft Skills:

• Exceptional ability to architect complex systems while adhering to engineering best practices
• Strong technical communication skills; ability to explain AI concepts to non-technical stakeholders
• Experience building and scaling high-performing, diverse engineering teams
• Proven track record of delivering ambitious projects on time with cross-functional teams
• Strategic thinker with the ability to balance innovation with practical execution
• Strong stakeholder management and influencing skills

Education:

• BS/MS in Computer Science, Machine Learning, AI, or related technical field (PhD preferred)

Preferred Qualifications

• Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), and fine-tuning techniques
• Familiarity with agent evaluation tools like DeepEval, LangSmith, Weights & Biases, or custom eval frameworks
• Knowledge of responsible AI practices, bias mitigation, and AI safety
• Experience in AdTech, Analytics, or Business Intelligence domains
• Contributions to open-source AI projects or published research in AI/ML
• Experience with modern frontend frameworks (React, Angular) for AI interfaces
• Familiarity with Looker, Snowflake, or similar analytics platforms
• Track record of innovation and patents in AI/ML space

What We Offer

• Opportunity to lead a cutting-edge AI initiative at a publicly-traded, industry-leading company
• Work with Fortune 500 clients on transformative AI solutions
• Collaborative, innovative culture with a focus on continuous learning
• Competitive compensation including base salary, bonus, and equity
• Comprehensive benefits package
• Professional development and conference opportunities
• Hybrid work flexibility

Our Values

At DoubleVerify, we live by our core values of Innovation, Collaboration, Excellence, and Integrity. We're looking for a leader who embodies these values and will help our PinAI team deliver world-class AI solutions that transform how clients interact with advertising analytics.

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 $118,000.00 - $235,000.00. 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!

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 $107,000 - $212,000. 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!

About us:
DoubleVerify (DV) is the leader in digital performance solutions, improving the impression quality and audience impact of digital advertising. Built on best practices, DV solutions create value for media buyers and sellers by bringing transparency and accountability to the market, ensuring ad viewability, brand safety, fraud protection, accurate impression delivery and audience quality across campaigns to drive performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most value out of their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry.

About the role:
The Senior Incident Manager leads DoubleVerify’s Major Incident Management (MIM) program, owning the end-to-end lifecycle of critical incidents—from detection and response through business impact assessment, communication, and post-incident improvement.
This is a high-impact individual contributor role responsible for driving structured, cross-functional incident response across Engineering, Product, Commercial, and Executive teams. The role combines technical understanding with strong business judgment to minimize customer impact, protect revenue, and ensure clear decision-making during high-pressure situations.

What You’ll Do

• Lead Sev1–Sev3 incidents as the single point of accountability
• Drive real-time decision-making, escalation, and coordination across teams
• Run incident communications, including updates to executives and stakeholders
• Translate technical issues into clear business impact
• Own and improve the Major Incident Management process
• Lead post-incident reviews and ensure follow-through on actions
• Track key metrics (e.g., MTTR, incident trends) and drive improvements
• Coordinate with Product, Commercial, and Legal on client communications when needed
• Align incident response with business priorities, including customer and revenue impact
• Improve tooling, automation, and workflows for incident response

What We’re Looking For

Experience

• 7+ years in SRE, DevOps, Technical Operations, or Incident Management
• Experience leading Sev1/Sev2 incidents in high-availability environments
• Proven ability to coordinate cross-functional teams during critical outages

Technical

• Solid understanding of distributed systems and cloud environments (AWS or GCP)
• Experience with monitoring and incident tools (e.g., Datadog, Grafana, PagerDuty)
• Comfortable working with logs, alerts, and system diagnostics

Leadership & Communication

• Strong communicator, including with executive stakeholders
• Ability to translate technical issues into business impact
• Comfortable driving decisions and alignment under pressure

Mindset

• Calm, decisive, and execution-focused
• Able to push for action and maintain momentum
• Experience improving processes and operational maturity

Nice to Have

• Experience in AdTech, digital media, or similar environments
• Familiarity with SLOs/SLIs and reliability frameworks
• Experience with automation or AI-driven incident tooling
• ITIL or similar certification

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 $131,000 - $260,000. This role will also be eligible for bonus, 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!

Who we are

DoubleVerify is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem that help build a better industry. Learn more at doubleverify.com.

The Opportunity

The DevOps team at DoubleVerify is a 70+ team of experts positioned around the globe. We're building the infrastructure backbone for the next generation of AI-powered advertising verification that processes billions of impressions daily from the world's largest social media platforms.

As a DevOps RnD intern in Ghent, you’re positioned in a modern local office that interfaces with several different development teams. You’re part of a unique team that talks with developers, platform designers, security and many other teams in the company. You design solutions that directly affect how people work and get hands-on experience with working on production-grade infrastructure and codebases.

What You'll Achieve

• Be part of a local team in a global group
• Hands-on experience with scalable production infrastructure
• Gain experience in working with CI/CD, Infrastructure as code, the Cloud, and learn how AI can help in automating these.
• Get exposed to multiple teams of different cultures, locations and backgrounds
• Design and implement a full solution together with your mentor and other people in the team.

What You'll Bring

• You’re interested in understanding how technology works and digging deeper into details
• You’re not afraid to tackle complex systems and problems
• Initiative and autonomy— Use AI to unblock yourself, design a solution and validate it
• You're a collaborator: you have genuine curiosity about improving systems
• Active student in a computer science degree
• Basic understanding of Linux and scripting.
• Programming skills in a language such as Python, NodeJs or Go

What you’ll be working with

• Cloud: GCP (primary), AWS
• Orchestration: Kubernetes (GKE), Helm
• AI/ML: LangChain, OpenAI Agents SDK, Google ADK, n8n
• Observability: Prometheus, Grafana
• CI/CD: GitLab CI/CD, GitHub Actions
• IaC: Terraform, ArgoCD
• Languages: Python, Go, Bash, NodeJs

Why DevOps at DoubleVerify?

• Collaborative Culture: You'll work with a global team across Europe, US and Israel learning from diverse perspectives
• Hybrid flexibility (3 days in Ghent office, flexible scheduling)
• Strong remote collaboration tools and practices
• Access to cutting-edge AI tools (Claude Code, Cursor, GitHub Copilot, etc.)

Salesforce Systems Administrator

Required -  3x per week in NYC Office

Who we are

DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, publishers and digital ad platforms. DV’s technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

What you’ll do

You will be responsible for determining and solving internal operational deficiencies within our Salesforce support team processes by implementing SFDC configuration changes following a defined SDLC cycle. Communication and documentation are vital in succeeding in this role, as it is an internal-facing position that interacts with people at all levels and across all functions on behalf of the Salesforce Support team. You will also be responsible for supporting and interacting with all internal users of our systems. You will work closely with members of the Salesforce support team to resolve escalations from users, ensuring user satisfaction in the entire end-to-end support process.

Additional responsibilities include the following:

• Implementing Salesforce updates, testing new features, and managing system upgrades
• Build and configure features and customization within Salesforce to meet the Support Team's needs
• Communicating thorough responses that convey appropriate user-directing solutions via our Salesforce application
• Ability to manage user satisfaction via detailed and accurate instructions 
• Proactively engage users to determine the best way to accomplish what they are looking for, and give detailed proposals to the team
• Providing user training on Salesforce features, functionalities, and best practices
• Ensuring Salesforce data adheres to company security policies and regulatory compliance requirements
• Regular data quality Q/A and clean-up within Salesforce and other systems as necessary
• Work with your team to determine the best solutions to create operational efficiencies across the Support Team
• Work on more complex system customizations and special projects as identified by management
• Keep up to date with new SFDC features and releases to use all tools at our disposal and optimize builds

Who you are

• 3+ years of SFDC Administrator experience, preferably in online media
• Bachelor’s degree from an accredited institution or equivalent work experience
• SFDC Administrator Certification
• Experience with Sales Cloud, Service Cloud & Experience (Community) Cloud preferred
• Experience working with Salesforce ETL applications such as DataLoader, DemandTools, Jitterbit
• Proficiency in MS Excel and Word & experience working in a Salesforce system
• Thorough knowledge of Salesforce core functionalities, including customization options, data management tools, and automation features
• Ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines
• Outstanding written and verbal communication skills, capable of conveying issues clearly, making points concisely, and ensuring successful overall communication channels
• Organized with a rigorous attention to detail, drive for excellence, and a positive “can-do” approach
• Ability to clearly and effectively communicate with users and all levels of management across different functions
• Comfortable working in an agile environment with a small team of administrators
• Strong analytical and problem-solving skills with the ability to work independently and collaboratively
• Ability to set goals, meet/exceed deadlines, and successfully manage multiple assignments concurrently
• Ability to adapt to and embrace change

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 $73,000-$146,000. 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!

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 $99,000- $178,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.

Who we are

DV is the leader in digital performance solutions, helping our advertiser and agency partners verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party data and analytics. DV’s mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world’s largest brands, agencies, publishers, and digital ad platforms.  Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

What you will do

You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.

This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.

You will work on core systems that operate at a massive scale, where:

• Data is abundant, but labels are scarce and expensive

• problems are long-tail and ambiguous

• Systems must meet strict latency and cost constraints (pre-bid)

Your responsibilities include:

• Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps

• Design and build models across computer vision, NLP, and multimodal pipelines

• Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment

• Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)

• Improve model quality (precision/recall) while balancing cost, latency, and scale

• Drive automation systems (auto-labeling, auto-curation, retraining loops)

• Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems

• Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward

• Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems

Who you are

• 3+ years of experience leading Data Science / ML teams

• 6+ years of hands-on experience in Machine Learning / Deep Learning

• Strong background in Computer Vision and/or NLP

• Experience building and deploying production ML systems at scale

• Strong understanding of real-world trade-offs (accuracy, cost, latency)

Technical requirements

• Hands-on experience with deep learning frameworks (PyTorch / TensorFlow)

• Experience with ML/DS tools (scikit-learn, OpenCV, HuggingFace, etc.)

• Experience working with large datasets and model evaluation pipelines

Advantages

• Experience with multimodal systems (vision + text + audio)

• Experience with LLMs / embeddings / foundation models

• Experience with AutoML, active learning, or data-centric AI

#Hybrid#
 

Who we are

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com.

Position Overview:

The Data Reliability Engineer II is an integral part of the Data Operations Team, responsible for analyzing and externalizing DoubleVerify’s data internally as well as monitoring, troubleshooting, and improving the various company’s data pipelines and technologies.

Responsibilities:

• You will gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify’s architecture
• You will script in python and SQL extensively
• You will be working with data analysis tools such as Grafana to create reports and data visualization
• You will be part of the on-call rotation
• You will work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, etc
• You will be thrilled at the prospect of building strong relationships with different teams in the company, solving operational issues, and implementing quality improvements

Requirements:

• Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred
• Strong SQL querying skills
• 1+ years SQL experience
• 1+ years Linux environment experience
• 1+ years of experience writing SQL and scripting languages python, bash, etc
• Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
• Demonstrated ability to quickly adapt, learn new skill sets, and be able to understand operational challenges
• Strong analytical, problem-solving, negotiation, and organizational skills with a clear focus under pressure
• Must be proactive with proven ability to execute multiple tasks simultaneously
• Resourceful, results orientated with the ability to get things done and overcome obstacles
• Excellent interpersonal skills, including relationship building with diverse, global, cross-functional team
• Proven ability to troubleshoot and problem solve in complex systems
• Good understanding of process automation

Nice to have:

• Cloud computing fundamentals, knowledge of Google Cloud services
• Previous experience with gitops, CI/CD, GitLab or other automation/delivery tools

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 $72,000- $144,000. 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!