招聘
Benefits & Perks
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Team events and activities
•401(k) matching
•Generous paid time off and holidays
•Equity
•Healthcare
Required Skills
TypeScript
JavaScript
Python
About the Role
We are seeking a highly driven and strategic Audience GTM & Program Enablement Manager to join our Audience Strategy and Data Innovation team. This pivotal role will focus on driving the successful growth and global Go-to-Market (GTM) strategy for our suite of audience products, building world-class sales enablement programs, and managing key audience-focused initiatives and E2E launches. You will serve as the crucial link between Product, Sales, Marketing, and Regional teams, ensuring our audience solutions are understood and adopted, and are generating significant value for our advertisers.
The ideal candidate will have a strong background in Ad Tech with a passion for data-driven advertising, GTM and program execution, and a proven ability to enable sales teams through compelling content and training.
What You'll Do:
- Audience Program Management: Oversee launch of strategic Audience programs related to audience targeting, data collaboration, data partnerships, audience insights and other data initiatives, ensuring milestones are met and launches align with business needs and existing processes
- Go-to-Market (GTM) Strategy & Execution: Lead the end-to-end GTM planning and launch for new audience products, features, and data partnerships. This includes developing positioning, messaging, launch timelines, internal training, and external collateral in partnership with XFN Marketing and Sales Enablement teams
- Sales Enablement & Training: Design, develop, and deliver high-impact sales enablement programs (e.g., presentations, training modules, office hours, FAQs) to ensure global sales teams are proficient in articulating the value proposition of our audience solutions. Maintain a repository of up-to-date sales materials
- Market and Competitive Intelligence: Maintain a pulse on the competitive landscape for audience and data solutions (e.g., AI, clean rooms, contextual targeting, retail media, etc). Translate these insights into actionable program recommendations, GTM strategies and sales positioning
- Cross-functional Alignment: Work closely with Sales, Audience team, Product, Marketing and other internal teams to define product roadmap priorities based on market needs and sales feedback
- Program Adoption and KPIs: Develop org KPIs and measure adoption of the Audience program based on key metrics. Collaborate with Measurement Science and Marketing to integrate audience effectiveness data into sales narratives and case studies
Basic Qualifications:
- 5+ years' Ads Industry experience at an ad platform, media agency, publisher or data platform
- 5+ years experience in product marketing, program management or GTM role with experience owning products or programs from end to end and launching new solutions to Sales organizations
- Bachelor's degree
Preferred Qualifications:
-
8+ years' Ads Industry experience at an ad platform, media agency, publisher or data platform
-
Client-facing experience in either a Sales, Product or Marketing function strongly preferred
-
Genuine passion and enthusiasm for audiences, personalization and data insights, and explaining technical data solutions to a non-technical audience
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Excellent communication, presentation and storytelling skills, with the ability to tailor a presentation to different audiences in order to generate genuine enthusiasm for the audience program
-
Passionate about solving complex and challenging problems for clients and comfortable dealing with ambiguity
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Excitement for sales enablement programs and driving program growth
-
Strong project management and organizational skills, with the ability to manage multiple complex initiatives simultaneously
-
For New York, NY-based roles: The base salary range for this role is USD**$167,000 per year**
-
USD**$185,500 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
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Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
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$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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