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Solutions Architect, Uber AI Solutions

Uber

Solutions Architect, Uber AI Solutions

Uber

San Francisco, CA

·

On-site

·

Full-time

·

1w ago

About the Role

At Uber AI Solutions delivers high-quality deliveries, we deliver high-quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. In doing so, we're also While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human-in-the-loop solution for the industry.

This is a high-impact role within Uber AI Solutions where you will hold a high-impact role on a new team inside the organization. You will be the technical expert responsible for architecting and executing the "Technical Win" in high-stakes enterprise engagement. You will leverage Uber's proprietary technology and operational excellence to solve the most complex AI data challenges for world-leading companies in Autonomous Systems, Robotics, and Generative AI.

This opportunity is designed for a hands-on technical architect who thrives in a pre-sales environment, is eager to translate complex customer needs into clear, executable technical blueprints, and acts as a critical voice in defining our product's future.

What the Candidate Will Need / Bonus Points

  1. Technical Pre-Sales & Deal Scoping: Own the "Technical Win" by serving as the primary technical authority. This involves evaluating complex customer AI/ML data needs, translating them into rigorous Scopes of Work (SOWs) and Proof of Concepts (POCs), and documenting the end-to-end technical solution for commercial viability.
  2. Solutions Architecture & Prototyping: Design and develop foundational "Solution Blueprints" for core industries (Autonomous Systems, Robotics, GenAI). Lead the technical design of scalable data and operational architectures, requiring hands-on work (e.g., Python) to build prototypes, unblock pilots, and create repeatable frameworks and technical playbooks.
  3. Client & Internal Advisory: Act as a trusted technical advisor to senior leaders, translating Uber AI Solutions' capabilities into measurable business outcomes. This includes partnering with Sales and Program Managers and collaborating with global teams to ensure solutions are scalable and compliant with regulations (e.g., GDPR, CCPA).
  4. Product Strategy & Feedback Loop: Act as the primary conduit for field intelligence. Distill unique customer requirements and market gaps into clear, actionable feature requests to directly influence and ensure the Uber AI Solutions product roadmap meets the evolving needs of advanced AI labs.

---- Basic Qualifications ----

  1. 5+ years of experience leading technical programs in AI, Robotics, or Autonomous Systems, with a focus on cross-functional delivery.
  2. Proven track record managing the end-to-end AI lifecycle, including data strategy, HITL workflows, and Generative AI deployments.
  3. Experience delivering AI data solutions across various regions and languages.
  4. Expert at translating complex technical roadmaps into clear business outcomes and milestones for executive-level stakeholders.

---- Preferred Qualifications ----

  1. Experience delivering AI data solutions across various regions and languages.
  2. A sophisticated understanding of enterprise sales processes and GTM strategy.
  3. Strong ability to navigate technical trade-offs and code-heavy environments (e.g., Python) to identify program risks and dependencies.
  4. Experience with a hyperscaler or SaaS platform environment.
  • For San Francisco, CA-based roles: The base salary range for this role is USD**$167,000 per year**

  • USD**$185,500 per year**.

  • For Seattle, WA-based roles: The base salary range for this role is USD**$150,000 per year**

  • USD**$167,000 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/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

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

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