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Sr. Lead, Partnership BD, Brand Innovation Lab, US

Amazon

Sr. Lead, Partnership BD, Brand Innovation Lab, US

Amazon

New York, NY, USA

·

On-site

·

Full-time

·

1w ago

BIL US is looking for a Sr. Lead, Partnership BD to operationalize how BIL US identifies, prioritizes, and develops high-value advertising innovations on Amazon's canvas surfaces. This role facilitates vertical pod creatives and business leaders in proposing canvas priorities, executing on strategically approved initiatives, and coordinating all BIL engagement with Amazon canvas teams to prevent fragmentation. This leader will work closely with all senior leaders across the BIL US team, helping to transform canvas innovation from ad-hoc exploration into a scalable, strategically aligned capability.

  • Key job responsibilities
  • Manage strategic partnerships spanning Amazon's canvas of creative partners
  • Translate advertiser and stakeholder needs into usable narratives and actionable requirements for BIL
  • Maintain a clear roadmap of priorities and communicates updates to stakeholders at all levels
  • Build scalable systems and partner inroads for proactive campaign development
  • Uncover opportunities for new revenue, co-innovation, and product integration
  • Own key docs, meetings, goal planning/tracking, resource planning, and communications.
  • Establish and maintain strategic relationships with priority Amazon canvas teams and their GTM owners on behalf of BIL US Core
  • Serve as the unified BIL voice to canvas partners, preventing fragmented or redundant outreach
  • Identify emerging canvas innovation opportunities early in partnership with canvas teams
  • Facilitate discussions on scaling successful innovations as new products or features with canvas teams or Amazon Ads
  • Manage operational stakeholder communication and provide regular updates
  • Partner with BIL technology leads and Canvas product owners to drive innovation prototype development
  • Own and manage the central knowledge hub for canvas capabilities, feasibility findings, and partner learnings
  • Define shared innovation goals between BIL and canvas product teams to ensure prioritization alignment
  • Connect advertiser needs with canvas capabilities to surface viable innovation concepts
  • Work with Brand Partnership team to increase volume of turnkey solutions, off-the-shelf innovations, and quick turn initiatives

About the team
Brand Innovation Lab (BIL) is an internal group within Amazon Ads that creates one-of-a-kind campaigns and activations for global advertisers. Using all of the different creative touch-points across The Amazon Canvas, we create full-funnel campaigns that reach millions of Amazon shoppers across our digital channels and out in the real world, connecting brands and customers in unexpected ways

Basic Qualifications

  • 6+ years of professional or military experience
  • Experience interpreting data and making business recommendations
  • Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
  • Experience working with technical and product stakeholders to define requirements, prioritize features, and influence product roadmaps
  • Experience with business development, partnership management, or sourcing new business
  • Experience working in a fast-moving consumer business
  • Experience in influencing senior leadership through data driven insights

Preferred Qualifications

  • Experience owning and driving large-scale cross-functional programs
  • Experience working with, presenting to and influencing senior executives up to VP level

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, NY, New York - 158,100.00 - 213,800.00 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

M3

M4

M5

M6

Intern

L2 · Revenue Operations L2

0 reports

$163,421

total / year

Base

$65,368

Stock

$81,711

Bonus

$16,342

$114,395

$212,447

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