Manager, Web Experience

· Remote

Location

Remote

Type

Full Time

Job Description

Manager Web Experience

Reposted 4 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Big Data • Machine Learning
The Data Platform for AI: High quality training and validation data for AI applications.
The Role
The Web Experience Manager leads a team of developers and designers overseeing the strategy and operations of Scale's digital presence to maintain quality performance and integration of web technologies.
Summary Generated by Built In

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 [email protected]. 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.

Top Skills

Ai Tools
Api Management
Front-End Frameworks
Web Development
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The Company
San Francisco CA
523 Employees
Year Founded: 2016

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.

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Date Posted

04/20/2026

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