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- Tasks: Enhance AI capabilities and implement solutions for strategic customers.
- Company: Leading customer service technology firm with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Shape customer experiences and tackle complex challenges in AI/ML.
- Qualifications: Strong engineering background and SaaS experience required.
- Other info: Collaborative environment with a chance to influence product direction.
The predicted salary is between 28800 - 48000 £ per year.
A leading customer service technology firm is seeking a Forward Deployed Software Engineer to enhance its AI capabilities. You'll work closely with strategic customers to implement solutions, influence product direction, and tackle complex challenges.
Ideal candidates have a strong engineering background, SaaS experience, and interest in AI/ML. This role involves significant collaboration and the chance to shape customer experiences while maintaining high-quality software standards.
Forward-Deployed Ai Engineer For Strategic Customers in England employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward-Deployed Ai Engineer For Strategic Customers in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and how you tackle complex challenges.
✨Tip Number 3
Prepare for the interview by understanding the company’s products and how they use AI. Tailor your responses to show how your engineering background and SaaS experience can directly benefit their strategic customers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Forward-Deployed Ai Engineer For Strategic Customers in England
Some tips for your application 🫡
Show Off Your Engineering Skills: Make sure to highlight your engineering background in your application. We want to see how your skills align with the role, especially if you have experience in SaaS and AI/ML. Don’t be shy—let us know what you’ve built!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences can help us enhance our AI capabilities and improve customer experiences. A personal touch goes a long way!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Show us you can communicate effectively, just like you would with our strategic customers.
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, it shows you’re keen on joining our team!
How to prepare for a job interview at Intercom
✨Know Your AI and SaaS Stuff
Make sure you brush up on your knowledge of AI and SaaS technologies. Be ready to discuss how you've used these in past projects, as well as any relevant frameworks or tools. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Understand the Customer's Needs
Research the company’s strategic customers and their specific challenges. Think about how your skills can help solve their problems. During the interview, demonstrate your understanding of their needs and how you can tailor solutions to enhance their experience.
✨Showcase Your Collaboration Skills
Since this role involves significant collaboration, be prepared to share examples of how you've worked effectively in teams. Highlight any experiences where you influenced product direction or tackled complex challenges together with others.
✨Prepare Questions That Matter
Have a list of thoughtful questions ready for your interviewers. Ask about the company's vision for AI/ML, how they measure success in customer projects, or what challenges they foresee in the future. This shows your genuine interest and helps you assess if the role is the right fit for you.
