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- Tasks: Lead engineering teams to create impactful AI solutions and drive innovation.
- Company: Join a forward-thinking company shaping the future of AI technology.
- Benefits: Enjoy competitive pay, remote work, and opportunities for professional growth.
- Other info: Work in a dynamic, inclusive environment with a focus on innovation.
- Why this job: Be at the forefront of AI, making a real difference in customer experiences.
- Qualifications: Proven leadership in AI and machine learning with strong technical skills.
The predicted salary is between 150000 - 200000 ÂŁ per year.
This is a strategic leadership role at the forefront of applied artificial intelligence, focused on building and scaling impactful, customer‑facing AI solutions. You will lead multiple engineering teams, driving innovation in AI orchestration and automation technologies. The role blends deep technical expertise with organizational leadership, requiring a balance between experimentation and delivery at scale. Working in a fully remote and globally distributed environment, you will collaborate closely with product, design, and go‑to‑market teams. You will shape the future of AI‑powered platforms, translating emerging technologies into real‑world applications. This position is ideal for a visionary engineering leader passionate about delivering meaningful AI‑driven experiences.
Accountabilities
- Lead and scale multiple engineering teams focused on applied AI and automation technologies
- Define and execute the technical strategy for AI orchestration and platform capabilities
- Drive the development and deployment of user‑facing AI and machine learning features
- Foster a culture of innovation, experimentation, and engineering excellence
- Collaborate cross‑functionally with product, design, and business teams to align on strategy and execution
- Guide architectural decisions, ensuring scalability, reliability, and performance of AI systems
- Mentor and develop engineering leaders and teams, maintaining a high bar for talent and performance
- Translate emerging AI trends into practical, high‑impact product solutions
- Champion customer‑centric development by aligning technical initiatives with user needs and business outcomes
Requirements
- Extensive experience in engineering leadership roles, with a strong focus on AI, machine learning, or data‑driven platforms
- Proven track record of building and delivering AI‑powered products at scale
- Hands‑on experience with LLMs, machine learning systems, and end‑to‑end product integration
- Strong technical background with the ability to make architectural and strategic decisions
- Experience leading and growing high‑performing, distributed engineering teams
- Ability to operate effectively in fast‑paced, ambiguous environments with evolving technologies
- Strong collaboration and communication skills across technical and non‑technical stakeholders
- Experience partnering with product and design teams to deliver cohesive solutions
- Passion for innovation and continuous improvement in AI technologies and applications
Benefits
- Competitive executive‑level compensation package with equity and performance‑based bonuses
- Fully remote work environment with global flexibility
- Opportunity to shape the future of AI‑driven products at scale
- Collaborative and inclusive culture focused on innovation and impact
- Professional development and learning opportunities
- Flexible work schedule promoting work‑life balance
- Comprehensive health and wellness benefits
Sr. Director, Engineering - Applied AI employer: Jobgether
Contact Detail:
Jobgether Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Director, Engineering - Applied AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering space. Attend virtual meetups or webinars to meet industry leaders and potential colleagues. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website that highlights your projects, especially those related to AI and machine learning. This is your chance to demonstrate your skills and vision to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've driven innovation in past roles and how you can contribute to shaping AI solutions at scale.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Sr. Director, Engineering - Applied AI
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your vision aligns with our mission to deliver impactful AI solutions, so share your experiences and ideas that demonstrate your passion!
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in engineering leadership and AI technologies. We love seeing how your unique background fits into the role, so don’t be shy about showcasing your achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, we’re looking for leaders who can drive innovation, so make it easy for us to see your potential!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Jobgether
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss your hands-on experience with LLMs and how you've integrated these technologies into products. This shows you're not just a leader but also technically savvy.
✨Showcase Your Leadership Style
Prepare examples of how you've led and scaled engineering teams in the past. Highlight your approach to fostering innovation and collaboration, especially in remote settings. Companies want to see how you can inspire and mentor others.
✨Align with Business Goals
Be ready to talk about how you've aligned technical initiatives with user needs and business outcomes. Think of specific instances where your engineering decisions directly impacted customer satisfaction or business success.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company's vision for AI. Inquire about their current challenges in AI orchestration and how they envision the future of their products. This demonstrates your strategic thinking and genuine interest in the role.