Director Product Management, GenAI & Applied Research

Zeta Global

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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 industrys 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 Zetas R&D engine and production accelerator. We turncutting-edgeAI research into scalable secure andhigh impactcapabilities that power the Zeta Marketing Platform and transform outcomes acrossmarketing &advertising. Ifyoureenergized by shaping frontier AI and transforming prototypes intoenterprise gradeproducts that ship at scalethis is your stage.

THE ROLE

We are seeking aDirector Product Management Research & GenAIto 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 ahigh visibilityhigh impactleadership role at the intersection of research innovation and platform product execution.

RESPONSIBILITIES

  • Anchor to Zetas strategy:Understand Zetas unique position and deliver AI products aligned with our mission thatdrivemeasurable value across Marketing & Advertising.
  • R&D Production:Lead 0to1 product developmentfrom research concepts and internal prototypes to battletestedproduction gradeproducts.
  • Use case discovery & validation:Identifyand evaluate GenAI opportunities across Zetas portfolio shaping new userexperiencesand improving internal workflows and pipelines.
  • Platform & infrastructure leadership:Partner with engineering to build robust scalable GenAI capabilities (e.g. model inference finetuning 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 orco-development.
  • Evidence drivenstrategy: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 whilemaintainingteam health clarity and operational rigor.
  • Cross functionalleadership:Partner with design security legal compliance and GTM toalign onrequirements and guide products through key milestones.
  • Continuous learning loops:Integrate usability studies evaluator frameworks A/B tests and humanintheloop systems to improve developer productivity andend-usersatisfaction.
  • 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 01 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/finetuning orchestration guardrails evaluators).
  • Proven ability to translate research into product requirements roadmaps and acceptance criteria.
  • Excellentcrossfunctionalleadership across engineering research and design; strong written and verbal communication.

NICE TO HAVE

  • DomainexpertiseinMarTech/AdTech (audience creative systems experimentation attribution/measurement).
  • Experience with enterprise AI safety compliance and privacy (PII handling auditability policy governance).
  • Familiarity with LLM evaluation (offline/online metrics AB testing human rating pipelines) and cost/latency optimization.
  • Background in platform or ML infrastructure (APIs microservices observability data platforms).
  • MS or PhD in Computer Science or related technical discipline.

BENEFITS & PERKS

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

SALARY RANGE

The salary range for this role is $200000 - 220000 depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individuals 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.

Were 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: IN THE NEWS!

Experience:

Director

WHO WE AREZeta 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 t...
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Zeta Global empowers businesses with cutting-edge data-driven marketing solutions. Harness the potential of AI-driven insights and customer engagement.

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