Associate Product Manager at edkey

About the Role

This Associate Product Manager role is an early-career product position focused on two high-impact areas: the client’s paid loyalty subscription program and the lower‑funnel e‑commerce experience (cart, checkout, order confirmation, wishlist, and post‑purchase moments). This is a hands‑on, data‑driven product role where you’ll partner closely with design, engineering, analytics, marketing, and operations to ship improvements that drive conversion, retention, and revenue.

What You’ll Do

• Support the product vision and roadmap for the client’s paid loyalty subscription program and related membership experiences.
• Track membership and retention metrics; partner with marketing, analytics, and finance to surface trends and opportunities.
• Support conversion rate optimization (CRO) initiatives across cart, checkout, order confirmation, wishlist, and post‑purchase flows.
• Assist in writing clear, well‑scoped product requirements and acceptance criteria with engineering and design.
• Monitor funnel performance, analyze data, and present findings with actionable recommendations.
• Participate in A/B test design, implementation, and result analysis to validate hypotheses.
• Own metrics for the features you help deliver and iterate based on outcomes and customer feedback.
• Coordinate cross‑functional workstreams to move initiatives from idea to live product.

Required Qualifications

• 0–2 years of relevant experience in product management, analytics, consulting, or a closely related field.
• Strong analytical instincts; comfort working with data to form hypotheses and recommendations.
• Clear written and verbal communication skills; able to document requirements and present findings.
• Genuine curiosity about how e‑commerce, subscription products, and digital experiences work.
• Strong organizational skills and the ability to move work forward across multiple workstreams.
• Comfortable collaborating with engineering, design, analytics, and business partners.

Preferred Qualifications

• Familiarity with GA4, SQL, Looker, or similar analytics tools.
• Exposure to A/B testing, experimentation frameworks, or CRO methodologies.
• Coursework or experience in entrepreneurship, product, digital business, or related areas.
• Hands‑on experience using AI tools to increase productivity and quality.
• Background or passion for retail, e‑commerce, or subscription products (industry passion valued).

Why Join

• Real ownership early — work on revenue‑critical product areas with measurable impact.
• AI‑enabled product environment — use modern tools to work faster and smarter.
• Accelerated growth opportunities — high performers receive increased responsibility and scope.
• Competitive benefits — paid time off, retirement match, health benefits, supplemental coverage, and employee discounts (benefits vary by location and are provided in accordance with applicable laws).

Compensation & Compliance

• Compensation is competitive and varies by location and experience. In accordance with state and local pay transparency laws, salary range information will be provided to qualified applicants upon request or during the recruiting process.
• This position may require background checks, employment eligibility verification (I‑9), and other pre‑employment screenings as permitted by law.

Interview Process

• Recruiter screen: initial conversation to introduce the role and assess fit.
• Take‑home challenge: a short product or analytical exercise to demonstrate how you think.
• Leadership interviews: deep dives focused on product mindset, communication, and operational thinking.
• In‑person or final onsite interview (logistics arranged with your recruiter).
• Reference checks and offer: final steps completed promptly for top candidates.

Equal Opportunity & Hiring Transparency

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.