At a Glance
- Tasks: Build innovative solutions in fintech while engaging directly with customers and shaping product capabilities.
- Company: Join a forward-thinking tech company focused on transforming enterprise financial systems.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and customer engagement in high-stakes environments.
- Why this job: Make a real impact by turning complex challenges into scalable solutions using AI and data.
- Qualifications: 5-8+ years in software or data engineering with strong problem-solving skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- You have 5–8+ years in software engineering, data engineering, or technical consulting, with a track record of delivering in ambiguous, high-ownership environments.
- You contribute to production codebases without hesitation, and you've spent meaningful time wrangling messy enterprise data.
- You communicate clearly across audiences, move fast, and don't need your name on things - you need them to work.
- Experience with fintech or enterprise financial systems is a plus.
- Demonstrated outcomes applying AI/ML to real operational data is a strong signal.
What the job involves
- We're looking for a Forward Deployed Engineer who thrives at the intersection of deep technical craft and high-stakes customer engagement.
- This isn't a solutions engineering role where you demo software and hand off tickets.
- You’ll be embedded in complex enterprise environments, building real things during live sales cycles and turning what you learn into durable product capabilities.
- You’ll sit within Engineering but spend most of your time in pre-sales and strategic customer engagements, working closely with Sales and Customer Success.
- Lead technical discovery with prospects and customers.
- Architect and prototype integrations and AI workflows during live sales cycles.
- Reconcile messy, low-quality enterprise datasets.
- Contribute directly to Clarasight’s full stack production codebase.
- Turn customer-specific solutions into scalable product capabilities.
- Customer Engineering owns the technical relationship from first discovery call through contract close.
- Collaborate with the data science team to translate ambiguous, high-pressure business problems into working prototypes and clear technical narratives that build trust and accelerate deals.
Data & Systems
- Design and build pipelines across fragmented travel, financial, and expense systems.
- Get hands-on with messy, low-quality enterprise data: reconciling, validating, and shaping it into something reliable.
- Build frameworks that last, not workarounds that don’t.
AI Application
- Apply AI where it genuinely creates advantage: enrichment, anomaly detection, forecasting, automation.
- Have strong opinions about where it helps and where it’s noise.
- Turn experiments into repeatable, scalable workflows.
Productization
- Feed structured learnings directly into Product.
- The best customer-specific solutions you build shouldn’t stay custom.
- Your job is to make them part of the platform.
Forward Deployed Engineer (Clarasight) in London employer: Deepstreamtech
At Clarasight, we pride ourselves on fostering a dynamic work culture that empowers our employees to take ownership and drive innovation. As a Forward Deployed Engineer, you'll enjoy unparalleled opportunities for professional growth while working in a collaborative environment that values clear communication and impactful contributions. Located in a vibrant tech hub, we offer competitive benefits and the chance to engage directly with clients, ensuring your work has a meaningful impact on their success.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (Clarasight) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those who work at Clarasight or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in real-time! If you get the chance, participate in hackathons or coding challenges related to fintech or AI/ML. This not only sharpens your skills but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical discussions! Brush up on your knowledge of enterprise data systems and AI applications. Be ready to share examples of how you've tackled messy data or built scalable solutions in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the StudySmarter team!
We think you need these skills to ace Forward Deployed Engineer (Clarasight) in London
Some tips for your application 🫡
Show Your Experience:Make sure to highlight your 5–8+ years of experience in software or data engineering. We want to see how you've tackled ambiguous situations and delivered results, so share specific examples that showcase your skills.
Communicate Clearly:Since this role involves a lot of customer engagement, it's crucial to demonstrate your communication skills. Use clear and concise language in your application to show us you can convey complex ideas effectively.
Emphasise Your Technical Skills:Don’t shy away from detailing your technical expertise, especially with AI/ML and enterprise data. We’re looking for someone who can dive into messy datasets and turn them into something reliable, so let us know how you’ve done this before.
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 don’t miss out on any important updates during the process.
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you’re well-versed in software engineering and data engineering principles. Brush up on your experience with messy enterprise data and be ready to discuss specific examples where you've turned chaos into clarity. This role demands a deep understanding of technical craft, so don’t hold back on showcasing your skills.
✨Communicate Like a Pro
Since this position involves high-stakes customer engagement, practice articulating complex technical concepts in simple terms. Be prepared to explain how you’ve collaborated with sales and customer success teams in the past. Clear communication can build trust and help you stand out during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you’ve tackled ambiguous business problems. Think about how you’ve used AI/ML to create solutions and be ready to share those stories. The interviewers will want to see how you approach challenges and turn them into opportunities.
✨Demonstrate Your Ownership Mindset
This role is all about taking ownership and delivering results. Be ready to talk about times when you’ve taken initiative in your projects, especially in high-pressure environments. Highlight your ability to contribute to production codebases and how you’ve made a tangible impact in previous roles.
