At a Glance
- Tasks: Lead a team to build and improve agentic AI applications for enterprises and governments.
- Company: Join Scale, a fast-growing tech company at the forefront of AI innovation.
- Benefits: Enjoy comprehensive health coverage, flexible schedules, and personal development opportunities.
- Other info: Be part of a vibrant community with events and support for work-life balance.
- Why this job: Shape the future of agentic AI while mentoring a talented engineering team.
- Qualifications: 7+ years in engineering with management experience in ML systems.
The predicted salary is between 75600 - 92400 £ per year.
Applied Intelligence Systems is Scale's team focused on pushing the frontier of what agentic applications can do. We build the infrastructure and tooling that power agentic AI in production, paired with applied ML research, design, and evaluation to ensure these systems perform reliably at the scale enterprises and governments demand.
We're growing fast, with increasing traction across both commercial and public sector customers, and we're just getting started - this team will define what dependable, production-grade agentic AI looks like.
As Engineering Manager for Agent Oversight, you'll lead the team building our platform for monitoring, evaluating, and improving agentic applications across enterprise and government customers. Agent development tooling is still nascent industry-wide, and we're building the platform to close that gap - covering deployment, monitoring, evaluation, ML-driven improvement, and continuous learning, so agents get better over time.
You'll manage the engineering team, drive technical delivery, and work cross-functionally with customers and internal partners to bring these capabilities to production, with the ambition of setting the industry standard for how agentic applications are monitored and improved.
Our platform already powers agent deployments for multiple enterprise and government customers. This is a US-based team with members across New York and San Francisco, and you'll help define and grow the team as we scale.
- 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.
Benefits
- Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you'll get time off when you need it to relax and recharge.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
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.
Qualifications
- 7+ years of engineering experience, including 2+ years directly managing engineers or ML engineers responsible for a production ML/LLM-powered system.
- Hands-on familiarity with agent architectures - tool use, planning, multi-agent orchestration - and the technical depth to make informed tradeoffs with your team.
- 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 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.
- Track record of building and growing high-performing engineering teams - including hiring, retention, or measurable improvements in team output or velocity.
- 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.
Engineering Manager (Agent Oversight) employer: Scale AI
At Scale, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among software and ML engineers. Our London-based team is dedicated to pushing the boundaries of AI technology while providing ample opportunities for professional growth and development, ensuring that every employee can contribute meaningfully to impactful projects. With a commitment to inclusivity and equal opportunity, we create an environment where everyone can thrive and bring their whole selves to work.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager (Agent Oversight)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Scale AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Scale AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Scale AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Scale AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Engineering Manager (Agent Oversight)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Scale AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Scale AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Scale AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Scale AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
