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- Tasks: Enhance AI products by writing production code and collaborating with teams.
- Company: Join HubSpot, a leader in innovative tech solutions.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on collaboration.
- Why this job: Make a real impact on AI solutions and drive business efficiencies.
- Qualifications: Solid experience in AI solutions and strong Java programming skills.
The predicted salary is between 70000 - 90000 £ per year.
HubSpot is hiring a Staff Software Engineer to enhance AI products within the Engage Product Group. This role requires solid experience in building AI solutions, and strong programming fundamentals, primarily in Java.
Key responsibilities include:
- Writing production code
- Collaborating with product management and design teams
- Mentoring peers
Ideal candidates will have a business-focused mindset and the ability to tackle uncertainty with confidence, contributing to impactful GTM efficiencies.
Staff AI Systems Engineer — Remote GTM Context & Insights employer: HubSpot
Contact Detail:
HubSpot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff AI Systems Engineer — Remote GTM Context & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those at HubSpot. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant coding work. This is your chance to demonstrate your programming chops and business mindset beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your Java skills and understanding AI solutions. Be ready to discuss how you've tackled uncertainty in past projects—this will show you're the confident problem-solver they need.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Staff AI Systems Engineer — Remote GTM Context & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in building AI solutions and your programming skills, especially in Java. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your business-focused mindset can contribute to GTM efficiencies, as this is key for us at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at HubSpot
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge and experience. Be ready to discuss specific projects where you've built AI solutions, especially in Java. Highlight how your work has contributed to product enhancements or efficiencies.
✨Show Off Your Collaboration Skills
Since this role involves working closely with product management and design teams, prepare examples of how you've successfully collaborated in the past. Think about times when you tackled challenges together and how your input made a difference.
✨Be Ready for Technical Questions
Expect some technical questions that will test your programming fundamentals in Java. Brush up on key concepts and be prepared to solve coding problems on the spot. Practising common algorithms and data structures can really help!
✨Demonstrate Your Business Acumen
This role requires a business-focused mindset, so think about how your technical skills can drive business outcomes. Prepare to discuss how your AI solutions have impacted GTM strategies or efficiencies in previous roles.