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トレンド企業

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求人Scale AI

Manager, Web Experience

Scale AI

Manager, Web Experience

Scale AI

San Francisco, CA; New York, NY

·

On-site

·

Full-time

·

3w ago

At Scale, we develop reliable AI systems for the world’s most important decisions. The Brand Experience manages all aspects of Scale’s brand, including the company’s front door scale.com. It’s often a prospect's first real experience with our brand and what we build. The Web Experience Manager will lead our small team of developers and designers, and take full ownership of the strategy, operations, and quality of our digital presence.

This role sits at the intersections of brand, engineering, marketing, and design. You'll translate priorities from cross-functional teams into a clear roadmap, hold a high bar for quality, expertly leverage modern AI web tools, and make sure the team has the clarity and support they need to do their best work. You're a people-first leader with enough technical depth to make good calls quickly.

You will:

Lead the Team

  • Own the web roadmap by maintaining, prioritizing, and communicating clearly so the team is always working on what matters most

  • Manage and develop a lean team of web developers and designers by supporting career growth, handling resource allocation, and proposing and scoping new initiatives

  • Serve as the connection point between the web team and cross-functional partners (Brand, Marketing, and Product) by translating priorities into a well-sequenced backlog, protecting the team's focus

Own Quality & Reliability

  • Own the quality of everything that ships by building the testing and review framework, managing deployments, and setting the standard for what "done" means

  • Design and run the planning around urgent issues; set clear response-time SLAs for site performance and internal support requests and hold to them

  • Build the systems to keep marketing sites secure, performant, and compliant 24/7

  • Lead post-mortems after incidents by coordinating the fix, communicating status to stakeholders, documenting learnings with rigor, and adjusting the roadmap accordingly

Manage Our Stack

  • Oversee Scale's integrations on web properties by monitoring for performance, output quality, and consistency

  • Manage relationships with web vendors, internal security, and IT teams

  • Regularly audit the AI tooling to ensure we're using the best tools efficiently, pilot new tools, and flag when something needs to be updated or replaced

Ideally you’d have:

  • 4+ years in web management, digital operations, or a related field, including direct people management

  • Technical fluency: You’re comfortable in conversations about architecture, deployment pipelines, or front-end frameworks, even if you're not writing the code

  • Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work

  • Operational instinct: you keep clean documentation, run tight sprint cycles, and treat QA as a feature, not a chore

  • Calm under pressure: You're the person who steadies the team when something breaks

  • Ambitious and meticulous: You’re motivated by achieving broader business results, and you sweat the small details that compound over time into a reputation for quality

**PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

*We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. *

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

*We comply with the United States Department of Labor's Pay Transparency provision. *

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Scale AIについて

Scale AI

Scale AI

Series C

Accelerate the development of AI applications.

501-1,000

従業員数

San Francisco

本社所在地

$7.3B

企業価値

レビュー

3.7

10件のレビュー

ワークライフバランス

2.8

報酬

3.5

企業文化

3.9

キャリア

3.2

経営陣

2.6

65%

友人に勧める

良い点

Innovative and interesting work/projects

Supportive team and colleagues

Learning environment and mentorship opportunities

改善点

Fast-paced and stressful environment

Poor management and lack of direction

Long hours and heavy workload

給与レンジ

3件のデータ

Junior/L3

L3

Junior/L3 · Data Scientist L3

0件のレポート

$123,049

年収総額

基本給

-

ストック

-

ボーナス

-

$104,592

$141,506

面接体験

5件の面接

難易度

3.2

/ 5

期間

14-28週間

内定率

20%

体験

ポジティブ 20%

普通 60%

ネガティブ 20%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Final Round

よくある質問

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design