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- Tasks: Lead a dynamic AI product team and drive impactful mental health solutions.
- Company: Leading mental health tech company focused on innovation and teamwork.
- Benefits: Competitive pay, travel opportunities, and a chance to make a difference.
- Why this job: Join us to shape the future of mental health support with cutting-edge technology.
- Qualifications: Experience in engineering management and strong collaboration skills.
- Other info: Exciting role with opportunities for growth and travel between NYC and London.
The predicted salary is between 48000 - 72000 £ per year.
A leading mental health tech company is searching for an experienced Engineering Manager to lead a product-focused engineering squad. In this role, you'll collaborate with cross-functional teams and drive clarity and momentum in building user-facing systems.
The ideal candidate is an extroverted facilitator and humble leader who values teamwork and is adaptable in a dynamic environment.
This position offers competitive compensation, travel between our NYC and London offices, and a chance to significantly impact mental health support.
Engineering Manager — Lead a High-Impact AI Product Team employer: Slingshot
Contact Detail:
Slingshot Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager — Lead a High-Impact AI Product Team
✨Tip Number 1
Network like a pro! Reach out to people in the mental health tech space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your leadership skills! During interviews, share specific examples of how you've facilitated teamwork and driven projects forward. We want to see how you can lead a high-impact team effectively.
✨Tip Number 3
Be adaptable! Highlight your experience in dynamic environments and how you've thrived in them. Companies love candidates who can pivot and adjust to new challenges, especially in fast-paced fields like AI.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Engineering Manager — Lead a High-Impact AI Product Team
Some tips for your application 🫡
Show Your Passion for Mental Health: When writing your application, let us know why mental health tech excites you! Share any personal experiences or insights that connect you to the mission of improving mental health support.
Highlight Your Leadership Style: We’re looking for a humble leader who values teamwork. In your application, describe your leadership approach and how you’ve successfully facilitated collaboration in past projects.
Be Clear and Concise: Clarity is key! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to highlight your achievements and skills relevant to the role.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Engineering Manager role. We want to see how you fit into our team!
How to prepare for a job interview at Slingshot
✨Know the Product Inside Out
Before your interview, make sure you understand the mental health tech products the company offers. Familiarise yourself with their features, user feedback, and how they impact users' lives. This will show your genuine interest and help you discuss how you can lead a product-focused engineering squad effectively.
✨Showcase Your Leadership Style
As an Engineering Manager, you'll need to demonstrate your leadership approach. Prepare examples of how you've facilitated teamwork and driven clarity in past projects. Highlight your adaptability in dynamic environments and how you’ve successfully led cross-functional teams to achieve common goals.
✨Prepare for Behavioural Questions
Expect questions that assess your soft skills and teamwork abilities. Think about scenarios where you've resolved conflicts or motivated your team. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to see your thought process and impact.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Inquire about the company's vision for their AI products or how they measure success in their engineering teams. This not only shows your enthusiasm but also helps you gauge if the company aligns with your values and career goals.
