Jobs at Circana

Leads L2/L3 application support for global enterprise applications, including debugging, application server administration, installations, migrations, patching, monitoring, performance tuning, and incident management. Coordinates with engineering on defects and enhancements, manages escalations and capacity planning, mentors team members, maintains documentation, and supports 24x7 on-call operations while driving root cause analysis and service improvements.

Manage web and application servers, Python environments, deployment pipelines, containers, cloud infrastructure, security configurations, database connections, and disaster recovery processes. Responsibilities include performance tuning, troubleshooting memory and latency issues, automating system tasks, applying patches, managing certificates and access controls, and maintaining backup and failover procedures across Linux-based infrastructure.

Lead the design and production delivery of agentic AI systems, translating domain expertise into ontologies, tool contracts, evaluation sets, and reliable orchestration patterns. Own context management, MCP servers, guardrails, tracing, regression testing, and observability. Direct technical strategy for an engineering pod, establish reusable architecture, and communicate effectively with engineers, domain experts, executives, security teams, and clients.

Build and ship agentic AI systems from design through production, including graphs, tools, MCP servers, services, prompts, context management, guardrails, and evaluations. Collaborate with domain experts, debug agent traces, maintain regression suites, automate development workflows, and prototype solutions. The role requires strong Python, cloud-based agentic workload experience, agentic coding-tool proficiency, clear communication, and demonstrated self-direction.

Build and ship agentic AI systems from design through production, including graphs, tools, MCP servers, services, evaluation suites, regression testing, observability, and guardrails. Collaborate with domain experts, debug agent traces, improve prompts and context management, and automate development workflows. The role requires strong Python, cloud AI experience, practical model expertise, and the ability to independently deliver production systems used by real customers.

Lead the design and production delivery of agentic AI systems, translating domain expertise into agent architectures, tools, evaluations, guardrails, and reusable engineering patterns. Direct technical strategy for an engineering pod, establish tracing and regression infrastructure, and communicate effectively with engineers, executives, clients, and domain experts.

Build and ship agentic AI systems from design through production, including graphs, tools, MCP servers, services, evaluation suites, regression testing, observability, and guardrails. Collaborate with domain experts to translate real-world questions into capabilities, debug agent traces, automate development workflows, and prototype solutions. The role requires strong Python, practical experience with prompting and model orchestration, cloud-based agentic workloads, agentic coding tools, and self-directed execution.

Designs, tests, and optimizes prompts for generative AI and LLM applications. Collaborates with stakeholders, product owners, developers, and data scientists to translate business needs into AI solutions. Builds prompt libraries, evaluates model outputs, conducts testing and experimentation, develops guardrails and governance practices, monitors performance, documents best practices, and supports deployments across Copilot, Azure OpenAI, ChatGPT Enterprise, and related platforms.

Designs and supports enterprise DevOps platforms across on-premises and cloud environments. Responsibilities include CI/CD automation, Infrastructure as Code, Linux administration, hybrid cloud operations, Kubernetes platform management, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and incident management. The role partners with infrastructure, application, security, architecture, and operations teams to deliver scalable, secure, and highly available platforms.

Advises a consumer health client on pricing, promotion, assortment, and retailer decisions. Interprets elasticity, transferability, and optimization outputs; coordinates modeling work; leads client workshops; develops commercial recommendations; manages analytics program cadences; trains users; and identifies follow-on consulting opportunities. Requires regular onsite collaboration in Summit, New Jersey and presentation to senior stakeholders.

Runs pricing, promotion, and assortment analytics scenarios for a consumer health client; validates model outputs, identifies insights and anomalies, creates client deliverables, manages data inputs and timelines, supports users, and develops expertise in elasticity, promotional effectiveness, demand transferability, and assortment optimization.

Advise a consumer health client on pricing, promotion, assortment, and retailer decisions using Circana analytics. Translate elasticity, demand transferability, and optimization outputs into actionable recommendations, lead client working sessions, coordinate modeling teams, manage analytics refreshes, train users, and identify opportunities for expanded consulting services. Present recommendations to senior stakeholders and track resulting commercial outcomes. The role requires at least two days weekly onsite in Summit, New Jersey.

Leads enterprise corporate communications, change communications, M&A integration messaging, executive communications, stakeholder engagement, reputation management, and governance. Partners with HR, Legal, M&A, leadership, and global teams to translate complex business priorities into clear communications strategies, materials, and engagement plans. Measures communication effectiveness using employee insights, analytics, and feedback while advising senior leaders on sensitive issues.

Lead the design and production delivery of agentic AI systems, translating domain expertise into ontologies, tool contracts, evaluation frameworks, and reliable orchestration patterns. Own context management, guardrails, tracing, testing, and observability while setting technical direction for an engineering pod. Collaborate with engineers, subject matter experts, product leaders, security teams, executives, and clients. The role requires production experience with agent frameworks, multiple model families, cloud AI platforms, agentic development practices, and coding tools.

Designs, automates, and supports enterprise DevOps platforms across on-premises and hybrid cloud environments. Responsibilities include CI/CD, infrastructure as code, Linux administration, Kubernetes and container platforms, Azure and GCP operations, AI/ML infrastructure support, monitoring, reliability engineering, production support, security, disaster recovery, and cloud modernization. The role partners with infrastructure, development, security, architecture, and operations teams while participating in incident management and on-call rotations.

Build and deploy agentic AI systems from design through production, including graphs, tools, MCP servers, evaluation suites, guardrails, and supporting services. Collaborate with domain experts, debug agent traces, improve prompts and context management, and automate development workflows. The role requires strong Python, experience shipping agentic systems to real users, cloud-based AI workloads, agentic coding tools, and clear communication. Preferred experience includes TypeScript, SQL, React, large-scale data engineering, observability, and contributions to agent frameworks or MCP servers.

Serves as the strategic HR partner for a geographically dispersed workforce of more than 1,300 hourly employees. Leads onboarding, employee relations, investigations, performance management, engagement, retention, compliance, workforce analytics, and organizational change. Coaches operational leaders, oversees an onboarding analyst, supports talent and succession planning, and drives HR compliance transformation across multiple states. Partners with Legal, Payroll, Recruiting, and other HR functions while ensuring consistent employment practices and workforce effectiveness.

Serves as Chief of Staff to the Chief Strategy Officer and leads Strategy Enablement. Owns annual strategic planning, ELT operating cadence, executive projects, initiative tracking, board content, and AI-enabled workflows. Partners with senior executives across the organization, represents the CSO, develops a small team, and translates strategic priorities into coordinated execution and executive-ready reporting.

Designs and develops OLAP data models, improves model performance, manages data relationships and granularity, and aligns models with business requirements. The role includes understanding data pipelines, applying data governance, explaining measure aggregation, translating client requirements into technical specifications, managing vendor relationships, and mentoring engineering leaders. Strong experience in SQL, data warehousing, database design, scripting, visualization, and data modeling tools is required.

Administer global benefits enrollment, eligibility, life-event changes, annual enrollment, carrier and payroll data files, and employee support across multiple countries. Maintain audit-ready records, privacy controls, SOPs, benefits communications, and knowledge content. Monitor vendor and carrier performance, interpret country-specific requirements, complete surveys and data requests, and support process improvements. The role also requires writing and validating AI prompts for benefits-related tasks and collaborating with global stakeholders in English and Spanish.