At a Glance
- Tasks: Lead innovative AI projects and enhance product management with cutting-edge technology.
- Company: Join a billion-dollar tech company committed to diversity and sustainability.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on collaboration and community.
- Why this job: Make a real impact on global challenges while working with advanced AI solutions.
- Qualifications: Experience in product management and a passion for AI-driven processes.
The predicted salary is between 59400 - 72600 £ per year.
IFS is a billion-dollar revenue company with 6000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities.
As a truly international company serving people from around the globe, we realise that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
Job Description: IFS builds enterprise software for the industries that run the world – energy, manufacturing, construction, aerospace and telecom among them. As AI moves from pilot to daily practice across our Product Management organisation, we need someone who can turn that shift into practical, adopted ways of working that help teams make better decisions and reduce friction at scale.
We're looking for someone who can bring structure to complex, cross-functional problems – identifying root causes, creating practical solutions, and helping teams adopt better ways of working at scale. This role sits at the intersection of portfolio management, product management and financial/commercial planning, with AI-agentic first ways of working central to the role. You will use AI tools as your default way of working, and prototype and implement reusable agents, data products and automated workflows that remove friction at scale.
You'll report into IFS Product & Technology Strategy & Planning organisation, working closely with Product Management leadership. This is an individual-contributor role. Your impact is measured in influence, clarity and adopted capabilities.
You can be located in any of these countries: UK, Netherlands, Poland, Sweden or Sri Lanka.
- Portfolio insight and decision enablement: turn portfolio data, initiative context and business signals into self-serve insights, decision tools and clear options that help product managers and leaders make better-informed prioritisation, investment and sequencing decisions.
- Predictive and scenario-based portfolio analysis: build predictive models that forecast portfolio outcomes, and model alternative scenarios, trade-offs and opportunity costs.
- Capital allocation and ROI: develop clear, evidence-based recommendations for how investment should be allocated across products and define how ROI and benefits realisation are tracked once decisions are made.
- Strategy support: use AI-powered knowledge management to make our strategy and roadmap easier to consume and act on.
- Root cause analysis: dig past symptoms to understand why the same friction keeps recurring across teams and help design sustainable solutions rather than local workarounds.
- Turning ambiguity into scalable capability: clarify ambiguous requirements, translate recurring organisational friction into repeatable processes, operating models and help teams adopt AI-enabled solutions broadly.
- Agentic enablement: design, prototype and deploy AI agents, workflows and decision-support tools that scale across the product management organisation.
- Enablement over control: create the tools, data products, AI agents and operating mechanisms that allow product managers to work more independently and effectively.
Qualifications: You do not need to meet every point below. We are most interested in candidates who can combine strong portfolio/product thinking with analytical judgement, curiosity about AI-enabled ways of working, and the ability to translate complexity into practical, adopted solutions.
- Background in product operations, portfolio management, product management, or a closely related role.
- Financial and commercial fluency – comfortable modelling portfolio scenarios, trade-offs and opportunity costs.
- Comfort operating at the portfolio level – able to turn complex prioritisation and sequencing questions into clear data, evidence and options.
- Practical confidence using modern AI tools such as Claude, ChatGPT or Copilot.
- A strong preference for enabling teams through better tools, clearer processes, self-serve answers and AI-enabled ways of working.
- Comfort clarifying ambiguous requirements, shaping a path forward and working with stakeholders to build alignment.
- Hands-on experience building or configuring AI agents, workflows or self-service tools.
- Enough understanding of how software gets built in an AI-assisted world to partner credibly with engineering.
- Experience in enterprise software or B2B SaaS product organisations.
- Familiarity with portfolio management frameworks.
Additional Information: We believe that coming together as a community, in person, is important for innovation, connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.
Lead/Senior Lead Software Engineer - Agentic Ai Engineering employer: IFS
IFS is an exceptional employer that fosters a dynamic work culture where innovation thrives. With a focus on employee growth, we offer extensive opportunities for professional development and a competitive salary package, including flexible paid time off and comprehensive health insurance. Join us in a collaborative environment where your contributions directly impact enterprise customers and the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead/Senior Lead Software Engineer - Agentic Ai Engineering
✨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 IFS 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 IFS.
✨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 IFS.
✨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 IFS 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 Lead/Senior Lead Software Engineer - Agentic Ai Engineering
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 IFS.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at IFS 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 IFS
✨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 IFS 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.