Job description

As a Product Manager - Electronic Shelf Labels, you will take ownership of the storeLink ESL roadmap, prioritizing features based on customer evidence and portfolio economics. The primary purpose of this role is to drive product evidence that converts early pilots into enterprise-wide rollouts while effectively reducing labor in high-effort store workflows. You will lead discovery efforts, define clear success criteria, and work collaboratively across engineering, UX, sales, and operations to ensure the delivery of a market-leading digital signage solution. Key Responsibilities Lead product discovery with engineering and UX teams, often directly in stores, to prove value and address viability risks before committing build capacity. • Own the storeLink ESL roadmap and ESL unit economics, analyzing per-store costs, labor savings, and margins to evaluate retailer customization requests against portfolio-wide lifetime value. • Design strategic pilots with explicit success and kill criteria, ensuring every major bet has a defined test date and stopping initiatives early when data requires a pivot. • Partner with sales, operations, legal, and hardware teams to influence roadmap decisions, build pricing models, and coordinate installation and support at a chain scale. • Cultivate high-trust relationships with retailers from initial pilot through long-term operation, positioning storeLink as the strongest, most labor-reducing ESL solution in the market. • 4+ years of product management experience with Electronic Shelf Labels, including ownership of a product line accountable for critical business metrics like retention, conversion, or margin. • Proven experience with hardware and software integrated products, IoT, or large-scale retail technology deployments involving enterprise customers and complex B2B deal cycles. • Demonstrated track record of building unit economics and business cases, with the ability to confidently kill or pivot initiatives based on early data and stakeholder communication. • Practical use of AI in daily workflows, with preferred experience shipping features built on machine learning, advanced statistics, or LLMs. • Deep understanding of retail operations, pricing systems, POS integration, and planogram management, specifically within grocery, drug, dollar, or mass retailers. The salary range for this position is $119,000 - $158,800 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate’s relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law. Equal Opportunity Employer Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status. Reasonable Accommodations Notice If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or NA.TA.Operations@averydennison.com to discuss reasonable accommodations. Identity Verification Notice To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes. Pre-employment Screening Notice As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.

Requirements

Must-haves

Lead product discovery with engineering and UX teams, often directly in stores, to prove value and address viability risks before committing build capacity.
Own the storeLink ESL roadmap and ESL unit economics, analyzing per-store costs, labor savings, and margins to evaluate retailer customization requests against portfolio-wide lifetime value.
Design strategic pilots with explicit success and kill criteria, ensuring every major bet has a defined test date and stopping initiatives early when data requires a pivot.
Partner with sales, operations, legal, and hardware teams to influence roadmap decisions, build pricing models, and coordinate installation and support at a chain scale.
Cultivate high-trust relationships with retailers from initial pilot through long-term operation, positioning storeLink as the strongest, most labor-reducing ESL solution in the market.
4+ years of product management experience with Electronic Shelf Labels, including ownership of a product line accountable for critical business metrics like retention, conversion, or margin.
Proven experience with hardware and software integrated products, IoT, or large-scale retail technology deployments involving enterprise customers and complex B2B deal cycles.
Demonstrated track record of building unit economics and business cases, with the ability to confidently kill or pivot initiatives based on early data and stakeholder communication.
Deep understanding of retail operations, pricing systems, POS integration, and planogram management, specifically within grocery, drug, dollar, or mass retailers.

Nice-to-haves

Practical use of AI in daily workflows, with preferred experience shipping features built on machine learning, advanced statistics, or LLMs.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learning

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