refresh

热门公司

Trending

招聘

JobsUber

Global Knowledge Production Lead, CommOps

Uber

Global Knowledge Production Lead, CommOps

Uber

Amsterdam, Netherlands

·

On-site

·

Full-time

·

4d ago

About the Role

This role owns Uber's end-to-end Knowledge Production operating model. This leader is accountable for how knowledge is produced globally; setting standards, systems, and performance expectations that enable high-quality, scalable delivery across all personas and regions.

This role partners closely within Global Content and externally, to ensure production is efficient, predictable, and future-ready, while enabling Knowledge Production Leads and teams to perform at a high bar.

What You'll Do:

Lead the Knowledge Production organization:

  • Lead, coach, and develop Knowledge Production Leads and senior team leads.
  • Set clear expectations for delivery excellence, accountability, and leadership behavior.
  • Drive consistent performance management, calibration, and talent growth.
  • Foster a high-performing, psychologically safe culture with strong ownership.

Own the Knowledge Production operating model:

  • Define and continuously evolve the global Knowledge Production operating model.
  • Set standards for intake, prioritization, creation, QA, handoff, and BAU support.
  • Ensure consistent ways of working while enabling persona-specific flexibility.
  • Establish clear roles, decision rights, and escalation paths.

Capacity, headcount & site strategy

  • Own Knowledge Production capacity planning across regions, personas, and time horizons.
  • Partner with leadership on headcount planning, hiring, and site optimization.
  • Rebalance work across sites to improve efficiency, resilience, and speed.
  • Anticipate future needs based on demand, complexity, and the transformation roadmap.

Intake, tooling & execution rigor

  • Own JIRA as the single source of truth for Knowledge Production execution.
  • Define standards for workflows, hygiene, reporting, and adoption.
  • Partner with tooling and automation teams to reduce manual effort and friction.

AI & process enablement

  • Identify opportunities to automate manual work and improve throughput and quality.
  • Ensure teams are equipped with the right tools, training, and guardrails.
  • Balance speed, quality, and risk as AI capabilities evolve.

Metrics & operational health

  • Own Knowledge Production KPIs, including Throughput and velocity, SLA adherence, Backlog health and aging, Quality and rework signal, Intake quality
  • Use data to surface systemic issues, bottlenecks, and improvement opportunities.
  • Ensure metrics are trusted, visible, and used to drive decisions.

Cross-functional leadership

  • Act as the senior Knowledge Production counterpart to internal and external stakeholders

  • Ensure production feasibility is embedded in planning and prioritization.

  • Clearly represent risks, constraints, and opportunities to leadership.

  • Align strategic ambition with delivery reality.

  • Basic Qualifications

  • 8+ years of experience in knowledge, content, production, or operations management.

  • 2+ years leading managers and large teams

  • Experience using AI tools to enable scale and quality

  • Experience scaling global knowledge or content operations.

  • Strong operating model, capacity planning, and performance management expertise.

  • Proven ability to use data to drive decisions and trade-offs.

  • Excellent stakeholder management and executive communication skills.

Preferred Qualifications:

  • Thinks in systems and scale, not individual requests.
  • Anticipates risk before it impacts delivery.
  • Sets a high bar for clarity, rigor, and accountability.
  • Uses metrics to inform decisions-not just report outcomes.
  • Builds strong leaders and durable systems, not just outputs.

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 fuelds progress. What moves us, moves the world - let's move it forward, together.

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.

Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

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

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Driver

6,734 reports

$42,142

total / year

Base

$42,142

Stock

-

Bonus

-

$31,192

$56,937

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