At a Glance
- Tasks: Lead technical discovery and enhance product capabilities in enterprise environments.
- Company: Join Deepstreamtech, a forward-thinking company in the fintech space.
- Benefits: Competitive salary, engaging work culture, and opportunities for professional growth.
- Other info: Collaborate closely with Sales and Customer Success teams for maximum impact.
- Why this job: Make an impact by applying AI/ML to real-world operations in a dynamic setting.
- Qualifications: 5–8+ years in software or data engineering with fintech expertise.
The predicted salary is between 70000 - 90000 € per year.
Deepstreamtech is seeking a Forward Deployed Engineer in Greater London. This role requires strong technical skills and customer engagement, working closely with Sales and Customer Success teams. You will lead technical discovery, enhance existing product capabilities, and reconcile messy datasets in complex enterprise environments.
Ideal candidates will have 5–8+ years of experience in software or data engineering, showcasing expertise in fintech and applying AI/ML to operations.
Pre‑Sales AI Engineer for Enterprise Data & Integrations in London employer: Deepstreamtech
Deepstreamtech is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement, particularly in the rapidly evolving fields of AI and fintech. Our commitment to a supportive environment ensures that every team member can thrive while contributing to meaningful projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land Pre‑Sales AI Engineer for Enterprise Data & Integrations in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and AI/ML space. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience in software and data engineering. Include projects where you've tackled messy datasets or applied AI/ML solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've engaged with customers in past roles. Practice common interview questions related to pre-sales and technical discovery to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at Deepstreamtech.
We think you need these skills to ace Pre‑Sales AI Engineer for Enterprise Data & Integrations in London
Some tips for your application 🫡
Showcase Your Technical Skills:Make sure to highlight your technical expertise in software or data engineering. We want to see how your experience aligns with the role, especially in fintech and AI/ML applications.
Engage with Customer Success:Since this role involves customer engagement, share examples of how you've successfully collaborated with sales or customer success teams in the past. We love seeing candidates who can bridge the gap between tech and client needs!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured responses that get straight to the heart of your experience and skills without unnecessary fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills required for the role. Brush up on your software and data engineering knowledge, especially in fintech and AI/ML applications. Be ready to discuss specific projects where you've applied these skills.
✨Engage with Customer Scenarios
Since this role involves customer engagement, prepare to discuss how you've successfully interacted with clients in the past. Think of examples where you led technical discovery or resolved complex issues, as this will show your ability to bridge the gap between tech and customer needs.
✨Showcase Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Practice explaining how you would approach reconciling messy datasets in enterprise environments. This will demonstrate your analytical thinking and problem-solving capabilities.
✨Research Deepstreamtech
Familiarise yourself with Deepstreamtech’s products and services. Understanding their offerings will help you tailor your responses and show genuine interest in the company. It also gives you a chance to ask insightful questions that reflect your enthusiasm for the role.
