At a Glance
- Tasks: Lead a team to design and build AI coding environments for reliable software engineering.
- Company: FICO, a global leader in analytics software, transforming decision-making worldwide.
- Benefits: Competitive pay, flexible work-from-home options, and a supportive work culture.
- Other info: Dynamic, inclusive workplace with opportunities for career growth and professional development.
- Why this job: Join a cutting-edge team shaping the future of AI-assisted engineering.
- Qualifications: Degree in Computer Science or relevant experience in software development and architecture.
The predicted salary is between 80100 - 97900 £ per year.
FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions.
The Opportunity: Come join our engineering organisation to build the discipline that lets AI coding agents do reliable work at scale. As agents take on more of the software lifecycle, the hard part is no longer writing code - agents generate it faster than humans can review it, so the bottleneck shifts to verification and trust. Harness Engineering exists to break that bottleneck: engineering the environment that steers agents toward correct, maintainable, well-architected output so that quality is enforced by the system, not re-audited by a person on every change. We call that environment the harness (Agent = Model + Harness), and we're building a dedicated Harness Engineering team to own it. This is a hands-on leadership role: you will personally design and build harness components while leading and growing a regional team of harness engineers, and setting the quality bar for AI-assisted engineering across the organisation.
What You'll Contribute:
- Personally design, build, and evolve the harness - the guides, feedback loops, guardrails, and shared context that turn raw model capability into production-grade engineering.
- Build and maintain feedforward guides (agent instruction files, reusable skills, architectural rules, reference docs, and codemods) that help agents get it right the first time, and drive their adoption across teams.
- Own AI governance for your region: define authority boundaries for what agents may merge unaided, establish LLM testing infrastructure, and ensure AI-generated output meets quality, safety, and compliance thresholds before release.
- Define and own cross-organizational QA and quality-gating standards, ensuring consistent, enforceable engineering practices across teams and product areas.
- Decide where each control runs in the path to production - fast checks pre-commit, more expensive checks post-integration, and continuous sensors that scan for drift outside the change lifecycle - keeping quality as far left as is economical.
- Partner with stakeholders to attract talent, set goals, and measure and reward performance.
- Work closely with other engineering leaders and product management to turn specifications and acceptance criteria into enforceable controls, and to align the harness with platform and delivery roadmaps.
- Demonstrate expertise through internal enablement, presentations, and thought leadership on agent-augmented engineering.
What We're Seeking:
- Bachelor's/Master's in Computer Science or related discipline, or relevant commercial experience in software architecture, design, development, and testing.
- Strong software engineering background with experience in large, complex codebases, and genuine care for architecture, testing, and maintainability - you remain hands-on.
- Hands-on experience with AI coding agents (e.g. Experience building engineering tooling across a modern stack - linters and static analysis, CI/CD pipelines, containerized build/test environments, and instrumentation/observability - plus familiarity with agent instruction conventions such as AGENTS.md).
- Experience with spec-driven development, context engineering, agent orchestration, fitness functions, and developer-platform work.
- A systems mindset - you'd rather fix the environment than fix one output - and the ability to encode 'what good looks like' into mechanical, repeatable rules.
- Demonstrated experience owning AI governance and cross-organisational quality standards, including establishing LLM testing infrastructure and quality gating for AI-generated artifacts.
- Strong experience managing geographically distributed, high-performing engineering teams, including navigating the organisational change that AI adoption brings.
Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
- Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
- Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO's solutions, placing us among the world's top 100 software companies by revenue. We help many of the world's largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we're proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don't meet all stated qualifications. Information submitted with your application is subject to the FICO Privacy policy.
Summary Location: Work from Home, United Kingdom Type: Full time
Engineering Manager - Work from Home in Moffat employer: FICO
FICO is an exceptional employer that fosters a dynamic and inclusive work culture, where your contributions directly impact the success of businesses globally. With a strong commitment to employee growth, competitive compensation, and a people-first environment, you will have the opportunity to develop your career in the fast-paced field of Big Data analytics while enjoying a healthy work/life balance. Join us in our mission to leverage data and AI to transform decision-making across various industries, all while being part of a supportive team that values your unique strengths.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager - Work from Home in Moffat
✨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 FICO 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 FICO.
✨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 FICO.
✨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 FICO 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 - Work from Home in Moffat
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 FICO.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at FICO 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 FICO
✨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 FICO 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.