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Principal PMM, Insights, Selling Partner Communities (SPC)

Amazon

Principal PMM, Insights, Selling Partner Communities (SPC)

Amazon

Seattle, WA, USA

·

On-site

·

Full-time

·

4w ago

Compensation

$170,000 - $230,000

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Mental Health

Healthcare

401k

Equity

Parental Leave

Mental Health

Required Skills

Marketing

Research

Data Analysis

Excel

Tableau

Cross-functional Leadership

Qualitative Research

Quantitative Research

Stakeholder Management

Coaching

We are seeking an experienced Principal Product Marketing Manager to shape the future of the seller experience. In this highly influential role, you will invent new ways to listen, act, and communicate with our seller community. You'll architect and drive programs across the seller organization to transform seller feedback and insights into meaningful improvements, ensuring our sellers' voices directly impact business decisions and product development.

The ideal candidate has extensive experience conducting foundational research, possesses a strong understanding of what drives community engagement and participation, and is committed to coaching others to develop these same capabilities. You will lead foundational research initiatives to uncover what sellers truly need—and then use those insights to directly influence business decisions, product roadmaps, and strategic priorities. You will serve as the research expert who informs and shapes community strategy through deep seller insights. This role partners closely with various internal and external teams to ensure that seller voices are at the center of every decision. This role requires the following critical capabilities:

  • Research Excellence: Proven ability to design and lead rigorous qualitative and quantitative research that uncovers deep insights about seller needs, behaviors, and motivations

  • Community Dynamics Expertise: Strong understanding of how online communities function—what fosters authentic peer-to-peer connections, what motivates members to engage, and what creates safe spaces for sharing and learning

  • Strategic Influence: Ability to translate research findings into actionable recommendations that shape product roadmaps, business priorities, and community strategy

  • Stakeholder Management: Capability to work cross-functionally with product, operations, community, and communications teams to ensure research insights inform strategic decisions

  • Data-Driven Mindset: Comfort with measuring research impact, defining success metrics, and demonstrating how insights have driven business outcomes

  • Coaching Orientation: Commitment to developing others—teaching team members how to conduct research, interpret findings, and measure the impact of their work

  • Key job responsibilities

  • Lead foundational, generative research initiatives to deeply understand seller needs, motivations, pain points, and opportunities

  • Design and execute rigorous qualitative research (in-depth interviews, ethnography, contextual inquiry, focus groups) and quantitative research (surveys, segmentation, data analysis)

  • Uncover the "why" behind seller behavior—what drives them, what frustrates them, and what they need to succeed

  • Develop comprehensive seller personas, journey maps, needs frameworks, and opportunity landscapes

  • Identify gaps in the seller experience that represent significant business opportunities

  • Stay current on industry trends, competitive dynamics, and emerging best practices in seller ecosystems

  • Study community health indicators and advise on meaningful metrics and benchmarks

  • Translate research findings into actionable recommendations that directly influence product features, roadmaps, and business priorities

  • Partner closely with Product, Engineering, Marketing, Operations, Community, and Communications leaders to ensure seller insights shape strategic decisions

  • Present compelling, data-backed narratives to senior leadership that drive action and investment

  • Advocate for seller needs at the highest levels of the organization—ensuring the seller voice is present in every major decision

  • Build strong relationships with stakeholders so that research becomes an essential input to planning cycles

  • Track and demonstrate how research insights have led to measurable business outcomes

  • Collaborate with communications teams to ensure seller messaging, content, and outreach are grounded in research insights

  • Provide guidance on seller communication preferences, channels, and tone based on research findings

  • Inform communication strategies with insights about what resonates with sellers and drives engagement

  • Support the development of seller-facing content and campaigns with relevant research and data

  • Coach and mentor team members on foundational research methodologies—how to design studies, conduct interviews, synthesize findings, and deliver insights

  • Teach others how to measure the impact of their initiatives and connect their work to business outcomes

  • Build team capability in insight storytelling, stakeholder management, and influencing without authority

  • Establish frameworks, playbooks, and best practices that enable the team to conduct research independently

  • Create a culture of curiosity, rigor, and impact within the team

Basic Qualifications

  • 9+ years of professional non-internship marketing experience
  • Experience using data and metrics to drive improvements
  • Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)
  • Experience building, executing and scaling cross-functional marketing programs
  • Experience driving direction and alignment with cross-functional teams

Preferred Qualifications

  • Experience with creating GTM initiatives at scale
  • Experience working cross-functionally across marketing, product management, analytics, UX, and research
  • Demonstrated experience leveraging generative AI tools to enhance workflow efficiency and productivity, with the ability to craft effective prompts and critically evaluate AI-generated outputs in a professional setting
  • Experience identifying opportunities to integrate AI solutions into products and services to drive business value

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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, WA, Seattle - 170,000.00 - 230,000.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge