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60 Scale Ai Customer Success Manager Jobs (Flexible Options) Near Me

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Do workers at Scale AI get paid breaks?

Sometimes. Only some people get paid breaks.
43% of people say they don’t get paid breaks.
Based on data from 7 people who took the Breakroom Quiz between April 2025 and March 2026.

Does Scale AI pay people when they’re sick?

Sometimes. Only some people get paid when they’re sick.
38% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get paid time off at Scale AI?

Most people get paid time off work.
80% of people say they get paid time off.
Based on data from 5 people who took the Breakroom Quiz between May 2025 and March 2026.

Do workers at Scale AI worry about hours?

Most people don’t worry about getting enough hours.
100% of people report they don’t worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between April 2025 and December 2025.

How easy is it to get time off at Scale AI?

Most people find it easy to get time off.
75% of people report it’s easy to get time off.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do Scale AI managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
83% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

Do jobs at Scale AI spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
0% of people report that their job takes up time that they don’t get paid for.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and December 2025.

How easy is it to take sick days at Scale AI?

Most people find it easy to take sick days.
88% of people report that it’s easy to take time off if they are sick.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI get to take their breaks without interruption?

Most people get breaks without interruption.
78% of people report that they get to take their breaks without interruption.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Is it stressful to work at Scale AI?

Some people feel stressed here.
44% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI enjoy their jobs?

Only some people enjoy their job.
50% of people report they don’t enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people at Scale AI recommend working with their team?

Most people recommend working with their team.
67% of people report that they would recommend working with their immediate team to a friend.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get enough training when they start at Scale AI?

Some people didn’t get enough training when they started.
67% of people report they didn’t get enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people get support to advance at Scale AI?

Only some people are given support to advance their career here.
In the last year, 50% of people report not being given support to advance their career here.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and March 2026.

Do people think Scale AI’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
86% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 7 people who took the Breakroom Quiz between January 2025 and December 2025.

Do workers feel well informed about how Scale AI is doing?

Only some people feel well informed about how the company is doing.
63% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and December 2025.

What other companies are hiring for Customer Success Manager jobs?

What are the most popular jobs at Scale Ai?

What are the most popular categories at Scale Ai?

Engineering Manager, Agent Oversight

Scale AI

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Scale AI rating

8.5

Company rating: 8.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

81st of 247 rated software companies

Job description

Job Summary:
Scale AI is a leading AI data foundry focused on developing reliable AI systems for critical decisions. As the Engineering Manager for Agent Oversight, you will lead a team to build a platform for monitoring and improving agentic applications, ensuring they perform reliably for enterprise and government customers.
Responsibilities:
• Lead a multi-disciplinary team of software and ML engineers to drive technical delivery across the Scale Generative AI Platform (SGP)
• Own the platform's roadmap across deployment, monitoring, evaluation, and ML-driven improvement of agentic applications
• Work cross-functionally with customers, forward deployed teams, product, and internal engineering teams to translate enterprise and government requirements into platform capabilities
• Build and ship features end-to-end, from system design through debugging and testing
• Drive high-velocity experimentation to validate and improve platform capabilities based on real customer usage
• Establish the technical direction, culture, and processes for a fast-growing team
• Mentor and develop both engineers and ML engineers/scientists, and influence how the team scales technically and organizationally
Qualifications:
Required:
• 7+ years of engineering experience, including 2+ years directly managing engineers or ML engineers responsible for a production ML/LLM-powered system — not just consuming a third-party ML API within a feature
• Hands-on familiarity with agent architectures — tool use, planning, multi-agent orchestration — and the technical depth to make informed tradeoffs with your team
• You can review ML experiment design or evaluation methodology well enough to ask sharp questions and earn credibility with ML engineers and scientists, even if you're not running the experiments yourself
• Track record owning the full lifecycle of platform-level infrastructure — from initial design through scaling it across multiple internal or external teams as usage, headcount, and complexity grow
• Experience collaborating with product managers, forward deployed engineering (FDE) teams, and customers to translate real-world requirements into prioritization decisions and shipped platform capabilities
• Track record of building and growing high-performing engineering teams — including hiring, retention, or measurable improvements in team output or velocity
Preferred:
• Experience building or overseeing evaluation, monitoring, or observability systems for ML/LLM-powered products in production
• Strong grasp of the full ML/agent development lifecycle — from experimentation through production deployment and iteration
• Deep understanding of modern LLMs and agentic system design, including prompt- and system-level optimization and integration with external tools, APIs, and services
• Published research, open-source contributions, or patents in agentic systems, LLMs, or applied ML
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints
Company:
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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