Are you a data-driven growth strategist who can build scalable systems that turn product usage into revenue? At AWS, we're seeking a Product Marketing Manager to lead the product-led growth motion for Amazon Quick as we scale our marketing efforts for this product.
As Quick combines generative AI capabilities with business intelligence to transform workplace productivity, we need someone who can establish the measurement infrastructure, experimentation frameworks, and cross-functional processes that enable rapid testing and optimization across the entire customer journey. In this role, you'll work backwards from user behavior data to influence product strategy, optimize conversion funnels, and drive self-service adoption at scale.
We're looking for a unique blend of growth marketer and systems thinker—someone who can dive deep into PLG metrics while building the operational foundation that enables the entire team to test, learn, and optimize rapidly. You'll partner with product, data science, and GTM teams to create systematic approaches for converting sign-ups into engaged users, expanding feature adoption, and driving monetization through product-qualified leads.
If you thrive at the intersection of data and customer experience and want to impact how millions of users discover and adopt AI-powered productivity tools, this role is for you.
Key job responsibilities
- Establish data infrastructure and analytics frameworks to measure and optimize the entire PLG funnel from acquisition through advocacy
- Design and implement experimentation processes that enable rapid testing of onboarding flows, activation triggers, and conversion strategies
- Drive top-of-funnel growth through self-service onboarding optimization and frictionless activation experiences that convert new users within their first session
- Own feature discovery and usage expansion strategies that move users from single-feature to multi-product engagement
- Identify expansion triggers and optimize conversion strategies from free to paid tiers and team-to-enterprise upsells
- Build cross-functional alignment between product, marketing, sales, and customer success teams to ensure seamless PLG execution
- Enable product-qualified lead (PQL) handoffs to sales while maintaining product-led efficiency
- Create retention programs and advocacy initiatives that reduce churn and transform power users into champions
About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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Basic Qualifications
- 5+ years of professional non-internship marketing experience
- Bachelor's degree in a relevant field or equivalent work experience
- 5+ years of hands-on experience building and optimizing PLG funnels, experimentation frameworks, and measurement systems
- Demonstrated experience with PLG metrics including activation rates, time-to-value, feature adoption, and expansion revenue
- Strong analytical skills with ability to translate user behavior data into actionable marketing strategies
Preferred Qualifications
- MBA
- Experience developing detailed go to market plans
- Experience with A/B testing, especially around audience segmentation and targeting
- Experience producing executive-level written materials and presenting to executive audiences
- Track record of driving self-service adoption and conversion optimization in enterprise software environments
- Understanding of freemium-to-paid conversion strategies and usage-based pricing models
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 161,900.00 - 218,600.00 USD annually USA, CA, Santa Clara - 161,900.00 - 218,600.00 USD annually USA, MA, Boston - 147,200.00 - 198,700.00 USD annually USA, TX, Austin - 147,200.00 - 198,700.00 USD annually USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually