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About the Role

Zeta Global is seeking a leader to drive the architecture and development of agentic systems, focusing on LLM agents, context management, and observability to enhance marketer efficiency.

Responsibilities

• Develop and manage the architecture for chaining LLM agents, tools, models, and workflows.
• Ensure seamless orchestration, handoffs, state management, and integration across the platform.
• Lead the development of a shared Context Graph for persistent agent awareness.
• Define how context is captured, structured, retrieved, governed, and made available.
• Implement and manage context streaming services for real-time agent awareness.
• Define the telemetry framework for understanding agent operations in production.
• Instrument and analyze agent performance metrics and build feedback loops for improvement.
• Build robust evaluation frameworks for testing agent quality, reliability, and workflow completion.
• Lead the creation of a Model Workbench for non-technical users to leverage LLMs and ML.
• Oversee the registration, documentation, governance, and discoverability of Model Context Protocol servers, tools, and agents.
• Drive alignment across Product, Engineering, Data Science, Design, Analytics, Security, and business stakeholders.
• Establish clear accountability and operating models for cross-team capabilities.
• Define standards for building and integrating agents, tools, context sources, telemetry, and workflows.
• Balance local team autonomy with the consistency required for a coherent platform experience.
• Actively participate in troubleshooting and debugging using tools like LangSmith.
• Rapidly build proof-of-concepts to validate technical approaches and identify architectural constraints.
• Promote a culture of rapid prototyping, experimentation, and evidence-based iteration.
• Use lightweight development and “vibe coding” to quickly turn ideas into working experiences.

Requirements

• Demonstrated experience leading complex technical products, particularly those involving LLMs, AI agents, workflow systems, developer platforms, ML infrastructure, or AI-driven applications.
• Strong understanding of LLM agents, tool use, orchestration, multi-agent workflows, state management, context management, and architectural patterns for reliable operation at scale.
• Experience designing or working with context graphs, knowledge graphs, semantic systems, memory architectures, metadata platforms, or similar systems.
• Strong understanding of instrumentation, telemetry, evaluation, and observability for complex software or AI systems.
• Ability to define signals to distinguish between various system failure types.
• Exceptional ability to align senior stakeholders and cross-functional teams around shared technical architecture, product priorities, ownership boundaries, and operating standards.
• Comfortable leading initiatives where no single team controls the entire outcome.
• Ability to reason across product experience, model behavior, data, infrastructure, APIs, organizational ownership, and operational processes.
• Strong technical background with hands-on familiarity with tools such as LangSmith.
• Experience working with APIs, workflow orchestration, LLM agent chaining, MCP, evaluation frameworks, and modern AI development environments.
• Demonstrated ability to troubleshoot ambiguous technical problems, rapidly prototype potential solutions, and translate experimentation into scalable product and architectural decisions.
• Excellent communication skills with the ability to translate highly technical concepts for both technical and non-technical audiences.

Skills

• LLMs
• AI agents
• Workflow systems
• Developer platforms
• ML infrastructure
• AI-driven applications
• Agent chaining
• Orchestration
• Multi-agent workflows
• State management
• Context management
• Context graphs
• Knowledge graphs
• Semantic systems
• Memory architectures
• Metadata platforms
• Instrumentation
• Telemetry
• Evaluation
• Observability
• Systems thinking
• LangSmith
• APIs
• Workflow orchestration
• MCP
• Evaluation frameworks
• AI development environments
• Prototyping

Location

• New York City
• Global

Work Type

• Full-time

Experience Level

• Senior
• Lead

Salary/Compensations

• $185,000 - $205,000

Benefits

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts
• Virtual Wellness Classes
• Pet Insurance

About the Company

• Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently.
• Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI.
• Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs.
• Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.

Equal Opportunity

• Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
• We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work.
• We provide a forum for employees to celebrate, support and advocate for one another.
• Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/