Digital Product Manager

Newell Brands•Hoboken, NJ

20h

About The Position

The Product Manager, Commercial Acceleration supports, shapes, and delivers initiatives using AI and emerging technology to accelerate content creation and optimization, product commercialization, and consumer engagement. The role sits at the intersection of Marketing strategy, AI, and enterprise technology, partnering with IT and enterprise platform owners to apply existing capabilities and approved solutions in ways that are scalable and aligned with business and technology roadmaps. As a day-to-day partner to Marketing teams, the Product Manager gathers requirements and translates defined business needs into product initiatives. In partnership with the Senior Manager, Product, the role supports prioritization, stakeholder alignment, cross-functional dependencies, and delivery from requirements through launch. Focus areas include content acceleration, new item setup and commercialization, first-party data activation, agentic commerce, media, and cross-marketing initiatives. The role also coordinates testing, adoption, training, and change management, and supports security, privacy, legal, responsible AI, architecture, and enterprise governance requirements.

Requirements

Bachelor’s degree in Marketing, Business, Computer Science, Information Systems, or a related field.
3–5 years of product management, digital product, eCommerce, marketing technology, or related experience, with exposure to AI and emerging technologies.
Ability to shape defined product opportunities, build business and technical alignment, and move initiatives from requirements through delivery.
Experience partnering with business stakeholders and enterprise IT teams, supporting prioritization, gaining buy-in, and navigating cross-functional dependencies.
Experience working with enterprise technology teams on integrations, data, platforms, APIs, architecture, or other dependencies needed to deliver connected digital products.
Experience with digital content, product information, creative, eCommerce, first-party data, media, or marketing technology ecosystems.
Familiarity with generative AI, LLMs, agents, automation, APIs, and custom AI solutions, including identifying how they can complement and extend enterprise capabilities.
Strong facilitation and communication skills, including translating business needs into technical execution and partnering effectively without direct authority.
High operational discipline and a track record of driving work to closure, resolving dependencies, and keeping cross-functional initiatives moving.
Strong business acumen and ability to connect technology capabilities to measurable outcomes such as speed to market, content productivity, media effectiveness, consumer engagement, efficiency, and growth.

Nice To Haves

Familiarity with Adobe Experience Cloud or Creative Cloud, Salsify, Stibo Systems, CommerceIQ, Runway, or comparable PIM/PXM, DAM, content, digital shelf, commerce intelligence, media, or generative creative platforms.
Understanding of new item commercialization, content syndication, first-party data activation, digital media, and emerging agentic commerce experiences.
Experience in CPG, eCommerce, content, media, or marketing technology.

Responsibilities

Support intake and shaping of AI and digital opportunities with Marketing and cross-functional partners, identifying potential business value.
Facilitate discovery sessions and turn business opportunities into problem statements, requirements, desired outcomes, and executable initiatives.
Liaise between business and technology teams and help stakeholders understand how enterprise capabilities and emerging AI solutions can work together.
Partner with enterprise platform owners to understand capabilities, assess feasibility, define integration needs, and pursue scalable execution.
Build working-team alignment, resolve dependencies, maintain momentum, and keep a visible intake funnel with priorities, status, decisions, and next steps.
Deliver initiatives that accelerate the creation, enrichment, and activation of product and marketing content, including copy, imagery, video, product data, digital assets, and channel-specific experiences.
Support new item setup and commercialization, including the foundational operating approach for enterprise systems, AI tools, and working teams.
Identify opportunities to activate first-party data across personalization, content, media, consumer engagement, and commerce.
Support agentic commerce and AI-driven product discovery by preparing product data, content, and commerce capabilities for emerging shopping experiences.
Partner with Brand, Media, and eCommerce teams on creative acceleration, audience activation, personalization, measurement, and AI-enabled capabilities.
Connect enterprise platforms with custom AI solutions where they can deliver additional speed, intelligence, automation, quality, or business value.
Maintain delivery roadmaps for assigned initiatives across content acceleration, commercialization, media, first-party data, commerce, and emerging AI opportunities.
Recommend initiative prioritization with the Senior Manager, Product based on business value, strategic alignment, feasibility, enterprise connectivity, scalability, and speed to value.
Translate opportunities into requirements, user stories, acceptance criteria, and sprint-ready work.
Maintain backlog hygiene and JIRA sprint operations, lead working-team ceremonies, and manage dependencies and blockers.
Coordinate testing and iterative stakeholder feedback to validate solutions before launch.
Surface trade-offs and escalate decisions to the Senior Manager, Product when capacity, dependencies, or competing priorities require alignment.
Act as a liaison between Marketing, IT, and external technology partners, building alignment on scope, priorities, dependencies, and expected outcomes.
Collaborate across organizational boundaries without direct authority, working with the Senior Manager, Product to bring together teams and capabilities.
Provide regular product updates on initiatives, progress, decisions, timing, and upcoming opportunities.
Coordinate launches, adoption, training, and change management for new capabilities.
Help successful experiments progress from pilot to connected, repeatable, and scalable enterprise capabilities.
Support applicable security, privacy, legal, responsible AI, architecture, and enterprise governance requirements.