Director, Product Management

Zeta Global•New York, NY

3d•Hybrid

About The Position

We are seeking a Director, Product Management who combines deep technical expertise with product management acumen. This role requires someone who can bridge the gap between complex technical systems and business requirements, while providing advanced technical support and driving product improvements through data-driven insights. This is a client-facing role and we are seeking someone who has experience with Customer & Market insight. You will be working with our LiveIntent product, a people-based marketing and advertising platform that enables brands, publishers, and advertisers to reach real people using email as a persistent, privacy-safe identifier without relying on third-party cookies. This is a hybrid role based out of our NYC office.

Responsibilities

Partner closely with Sales, Customer Success, and Account Management teams to understand customer workflows, pain points, and opportunities directly from the field.
Join customer calls, QBRs, and pre-sales discussions to gather insights and validate roadmap direction.
Stay ahead of industry trends including AI, identity, programmatic standards, publisher trends, retail media and measurement frameworks.
Translate customer needs into clear product requirements while balancing strategic and technical considerations.
Work with GTM teams to ensure effective product positioning, documentation, and customer enablement
Comfortable operating at both the strategic and execution layer - from defining vision to writing PRDs, user stories, driving Agile ceremonies, and ensuring disciplined JIRA hygiene.
Drive continuous improvement through retrospectives, customer feedback loops, and adoption metrics.
Define and own the long term product vision for your portfolio
Develop clear, data-driven strategies aligned to company and revenue goals.
Evangelize product direction across engineering, sales, marketing, and external partners.
Build, prioritize, and manage a roadmap balancing customer needs, platform scalability, and technical constraints.
Partner closely with engineering to define execution plans, sprint goals, and quarterly commitments.
Understand how ad requests flow through DSPs, SSPs, decision engines, data systems, and identity graphs.
Work with engineering to evaluate build vs. buy decisions, API capabilities, data pipelines, and system architecture.
Collaborate with data science to define forecasting, optimization, incrementality, and measurement solutions.