SEO Product Manager - Ecommerce & AI-Driven Growth

Staples, Inc.

Framingham (MA)

On-site

USD 110,000 - 160,000

Full time

2 days ago

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Benefits offered by this job

PTO & Holidays

Employee discounts

401(k) matching

Job summary

Staples, Inc. is seeking a Product Manager, Digital to lead SEO-driven product initiatives across Staples' eCommerce platforms.

You will translate customer insights into backlog items, align with UX, analytics, data science, and engineering, and drive roadmap execution with a focus on organic search visibility and AI-enabled optimization. You’ll collaborate with cross-functional teams to deliver measurable business results, manage priorities, and mentor teammates while advancing Staples' digital

Qualifications

Bachelor's degree or equivalent experience in business/tech.
5+ years in digital product management or eCommerce.
Experience managing product backlogs, user stories, requirements, and prioritization.
Experience delivering digital products with engineering/UX analytics teams.
Strong data analytics, KPIs, and OKRs usage.
Solid Agile methodologies knowledge.

Responsibilities

Own SEO optimization for print and eCommerce experiences, improving organic search visibility, traffic, rankings, and revenue.
Translate SEO strategy and technical best practices into actionable product requirements, prioritizing enhancements.
Evaluate evolving search behavior, including AI-driven search, to improve site structure, crawlability, and product data.
Lead evolution of SEO content, capabilities, and strategy across the eCommerce ecosystem.
Define, prioritize, and manage the backlog for assigned digital products and capabilities.
Collaborate with leaders to align product priorities with customer needs and business goals.
Translate insights into user stories, acceptance criteria, and product recommendations.
Serve as liaison between business, engineering, UX, analytics, and vendors.
Prioritize enhancements, defects, and technical work based on value and timelines.
Participate in Agile ceremonies and ensure release readiness.
Monitor KPIs, OKRs, and analytics to identify optimization opportunities.
Drive discovery, experimentation, and continuous improvement in product performance.