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- Tasks: Lead a dynamic R&D team to innovate AI and machine-learning solutions.
- Company: Join Epicor, a collaborative tech company shaping the future of business.
- Benefits: Enjoy competitive pay, health benefits, and opportunities for career growth.
- Why this job: Make a real impact in AI innovation while working with cutting-edge technology.
- Qualifications: 10+ years in software engineering, with strong leadership and AI expertise.
- Other info: Flexible work environment with a focus on personal development and inclusivity.
The predicted salary is between 48000 - 72000 £ per year.
As Sr Manager, AI & Innovation, you will lead a central R&D team—comprising primarily software engineers alongside data scientists—and a forward-deployed engineering contingent across Europe and the UK. You will drive the conception, prototyping, and delivery of cross-vertical generative AI and machine-learning solutions at customer sites. This position is based in our Bracknell office, with hybrid support for both local and remote team members. You will report directly to the Senior Director of AI & Innovation and partner closely with UX, Product Management, and engineering leaders across multiple time zones.
Duties & Responsibilities
- Strategic AI & Innovation Leadership
- Define and execute a cross-product AI roadmap focused on generative AI and machine-learning capabilities.
- Align R&D priorities with broader corporate strategy and market demands.
- End-to-End Solution Delivery
- Oversee requirements gathering, algorithm and system design, development, validation, and deployment of AI solutions at customer sites.
- Ensure robust MLOps practices for scalability and maintainability.
- Rapid Prototyping & Experimentation
- Champion lean startup and design-thinking methodologies to accelerate proof-of-concepts.
- Evaluate emerging AI frameworks, data platforms, and automation tools, recommending new software and infrastructure enhancements.
- Technical Guidance & Mentorship
- Provide hands-on architectural direction—spanning cloud SaaS (primarily Azure, with AWS), Python, and C#—to cultivate technical excellence.
- Coach engineers and data scientists on best practices in model development, data engineering, and deployment.
- Stakeholder Engagement & Collaboration
- Collaborate with sales, UX, product management, and engineering leadership to translate complex business challenges into innovative AI solutions.
- Present technical proposals, live demos, and regular progress updates to executive stakeholders.
- Governance, Budgeting & Process Optimization
- Establish policies for innovation governance, IP management, and quality assurance.
- Contribute to annual budget planning, resource allocation, and strategic program initiatives.
Knowledge, Skills & Abilities
- Generative AI & Machine Learning Expertise
- Deep understanding of generative models, NLP, CV, and data-driven architectures; proven track record deploying AI at scale.
- Innovation Management
- Skilled in lean experimentation, design thinking, rapid iteration, and cross-functional program leadership.
- Cloud SaaS Proficiency
- Hands-on experience with Azure cloud services (ML Studio, Databricks, Azure Functions) and familiarity with AWS offerings.
- Technical Versatility
- Proficiency in Python for AI/ML development and C# for integration with enterprise platforms.
- Leadership & Communication
- Demonstrated ability to build, coach, and guide high-performing teams.
- Exceptional analytical, verbal, and written communication skills, with the ability to articulate complex technical concepts in business terms.
Qualifications
- Experience:
- 10+ years of progressive software or systems engineering experience, including 5+ years in a managerial or leadership role.
- Minimum 4 years of hands-on AI/ML or advanced R&D experience in a corporate innovation setting.
- Education:
- Bachelor\’s degree in Computer Science, Engineering, Data Science, or equivalent (advanced degree preferred).
- Travel:
- Willingness and ability to travel up to one week per quarter within the EU and UK.
- Occasional travel outside EU and UK for conferences and company events.
About Epicor
At Epicor, we\’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain.
We\’re Proactive, Proud, Partners.
Whatever your career journey, we\’ll help you find the right path. Through our training courses, mentorship, and continuous support, you\’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we\’re the essential partners for the world\’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs.
Competitive Pay & Benefits
- Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being.
- Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally.
- Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development.
- Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development.
- Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership.
- Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect.
- Global Mobility: Comprehensive support for international relocations and permanent residency processes.
Equal Opportunities and Accommodations Statement
Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that\’s who we\’re interested in. If you have interest in this or any role- but your experience doesn\’t match every qualification of the job description, that\’s okay- consider applying regardless.
We are an equal-opportunity employer.
Recruiter
Afsha Sikka
Product Development Manager, Senior employer: Epicor
Contact Detail:
Epicor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Development Manager, Senior
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in AI and machine learning. This can really set you apart during interviews.
✨Tip Number 3
Prepare for the interview by researching the company’s recent projects and innovations. Tailor your answers to show how your experience aligns with their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Product Development Manager, Senior
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in AI and innovation. We want to see how your skills align with the role of Sr Manager, AI & Innovation, so don’t hold back on showcasing your relevant achievements!
Showcase Your Leadership Skills: As a senior role, we’re looking for someone who can lead and mentor a team. Use your application to demonstrate your leadership experience and how you've successfully guided teams in the past. Share specific examples that reflect your ability to drive innovation.
Be Clear and Concise: When writing your application, clarity is key! We appreciate straightforward language that gets to the point. Avoid jargon unless it’s relevant to the role, and make sure your passion for AI and machine learning shines through.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details you need about the position there!
How to prepare for a job interview at Epicor
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI and machine learning. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead and mentor teams. Prepare examples of how you've successfully guided teams in the past, particularly in fast-paced environments. Highlight your communication skills and how you foster collaboration across different functions.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions, especially around cloud services like Azure and AWS, as well as programming languages like Python and C#. Brush up on your technical knowledge and be prepared to solve problems on the spot or discuss architectural decisions you've made.
✨Align with Company Values
Research Epicor's mission and values, and think about how your personal values align with theirs. Be prepared to discuss how you can contribute to their goals, particularly in innovation and collaboration. This will show that you're not just a fit for the role, but also for the company culture.