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Director of Product Management, GenAI & Applied Research

Job in New York City, Richmond County, New York, USA
Listing for: Zeta Global
Full Time position
Listed on 2026-01-28
Job specializations:
  • IT/Tech
    AI Engineer, Data Science Manager, Product Engineer, Product Designer
Job Description & How to Apply Below
WHO WE ARE

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. To learn more, go to

THE TEAM - Data & AI Labs

Data & AI Labs is Zeta's R&D engine and production accelerator. We turn cutting-edge AI research into scalable, secure, and high impact capabilities that power the Zeta Marketing Platform and transform outcomes across marketing & advertising. If you're energized by shaping frontier AI and transforming prototypes into enterprise grade products that ship at scale-this is your stage.

THE ROLE

We are seeking a Director of Product Management, Research & GenAI to lead the journey from AI research and prototyping to production and scale. You will partner deeply with Labs researchers, platform engineering, product, and GTM teams to build and launch GenAI capabilities that materially improve marketer productivity, campaign performance, and creative effectiveness across the Zeta ecosystem. This is a high visibility, high impact leadership role at the intersection of research innovation and platform product execution.

RESPONSIBILITIES

* Anchor to Zeta's strategy:
Understand Zeta's unique position and deliver AI products aligned with our mission that drive measurable value across Marketing & Advertising.

* R&D → Production:
Lead 0to1 product development-from research concepts and internal prototypes to battle tested, production grade products.

* Use case discovery & validation:
Identify and evaluate GenAI opportunities across Zeta's portfolio, shaping new user experiences and improving internal workflows and pipelines.

* Platform & infrastructure leadership:
Partner with engineering to build robust, scalable GenAI capabilities (e.g., model inference, fine tuning and adapters, evaluation/guardrails, prompt/orchestration services, data infrastructure, monitoring/telemetry).

* External ecosystem leadership:
Build relationships with startups, researchers, and innovators at the frontier of GenAI; define strategic paths for partnership, integration, or co-development.

* Evidence driven strategy:
Incorporate data, user research, experimentation, and market analysis into product strategies and roadmaps; ruthlessly prioritize based on impact.

* Ship with excellence:
Drive product development with engineers and designers while maintaining team health, clarity, and operational rigor.

* Cross functional leadership:
Partner with design, security, legal, compliance, and GTM to align on requirements and guide products through key milestones.

* Continuous learning loops:
Integrate usability studies, evaluator frameworks, A/B tests, and human in the loop systems to improve developer productivity and end-user satisfaction.

* Own outcomes:
Define, instrument, and analyze KPIs that reflect product adoption, quality, safety, cost, and business impact.

REQUIREMENTS

* 8+ years of experience shipping AI/ML or GenAI products from 0→1, ideally in enterprise SaaS or platform environments.

* Strong technical intuition across model behavior, data workflows, evaluation, and production constraints (latency, reliability, cost).

* Fluency with GenAI and LLM paradigms (prompting, RAG, embeddings, adapters/fine tuning, orchestration, guardrails, evaluators).

* Proven ability to translate research into product requirements, roadmaps, and acceptance criteria.

* Excellent cross functional leadership across engineering, research, and design; strong written and verbal communication.

NICE TO HAVE

*…
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