Jobs

Head of Customer Experience Platform Segmentation Tech
San Francisco, CA; Sunnyvale, CA
·
On-site
·
Full-time
·
1mo ago
Compensation
$186,000 - $186,000
Benefits & Perks
•Team events and activities
•Parental leave
•Generous paid time off and holidays
•Flexible work arrangements
•Comprehensive health, dental, and vision insurance
•Competitive salary and equity package
•Parental Leave
•Flexible Hours
•Healthcare
•Equity
Required Skills
Node.js
TypeScript
React
About the Role
The Head of Segmentation Platform will sit within the Global Service Design team and is responsible for design, development, build, evolution, management and scaling of our Customer Support Segmentation Platform - a core system that intelligently segments customers and support requests to drive operational efficiency, personalization, and service excellence.
This role sits at the intersection of Community Operations (Comm Ops) and Customer Obsession (CO) Product. You will work closely with Comm Ops frontline teams to deeply understand their business requirements, use data to define segmentation logic, and collaborate with engineering and data science teams to build a scalable solution that optimizes segmented customer experience. Over time, this platform will evolve from a rules-based system to a fully AI-enabled segmentation engine, capable of dynamic routing, prioritization, experimentation and personalization of customer interactions across support options.
You will also work closely with CO stakeholders to design scalable solutions and drive effective rollout strategies and engage with Comm Ops stakeholders to align them as needed.
What you'll do
- Platform Ownership: Define the vision, strategy, roadmap and phased rollout of the Segmentation Platform for Customer Support
- Comm Ops Partnership: Engage deeply with Operations teams to identify segmentation needs and usability requirements and translate them into platform requirements. The ultimate goal is to make a platform which is easy for Comm Ops stakeholders to use
- Cross-Functional Collaboration: Act as the bridge between Comm Ops and CO - ensuring alignment on business goals, technical feasibility, and delivery timelines. This will require a good understanding of the Tech stack, dependencies on other platforms / product teams but also a good grounding in business priorities and ability to have an independent perspective
- Platform Development: Partner with data science and product teams to build and test the platform
- AI Enablement: Lead the platform's evolution from rules-based to AI-driven segmentation, including experimentation with predictive and proactive models
- Data Strategy & Governance: Define data models, metrics, and feedback loops for continuous improvement and transparency
- User Enablement and scaling: Create documentation and processes that empower Comm Ops colleagues to leverage segmentation insights in daily decision-making. Define KPIs and monitor platform adoption, usefulness and business impact.
Basic Qualifications
- 8+ years of experience in product operations, platform development or similar domains
- 2+ years of strong understanding of GenAI concepts and how to build platforms using Gen AI
Preferred Qualifications
-
Strong understanding of customer support workflows and how data can enhance segmented experience
-
Excellent collaboration skills with both technical and non-technical stakeholders
-
Exceptional communication skills (both verbal and written)
-
Familiarity with SQL and data visualization / reporting tools
-
Proven ability to translate complex operational problems into structured, data-driven solutions
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Ability to quickly learn and contribute to the improvement of any Tech stack
-
Strong business acumen and ability to learn about business context quickly
-
Having an independent perspective at all times and ability to align leaders around it
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Proven leadership experience managing cross-functional or multidisciplinary teams
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Engineering and MBA / Consulting experience
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Experience working with segmentation engines
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Experience in Operations or program management
-
Familiarity with prompt engineering or LLM evaluation
-
Familiarity with technologies like Python or similar
-
Ability to thrive in a fast-paced, ambiguous environment
-
For San Francisco, CA-based roles: The base salary range for this role is USD**$186,000 per year**
-
USD**$207,000 per year**.
-
For Sunnyvale, CA-based roles: The base salary range for this role is USD**$186,000 per year**
-
USD**$207,000 per year**.
For all US locations, 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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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
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
-
$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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