At a Glance
- Tasks: Build real solutions in high-stakes environments and turn customer needs into scalable products.
- Company: Join a dynamic fintech company focused on innovation and customer success.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Engage directly with customers and shape the future of enterprise solutions.
- Why this job: Make a tangible impact by applying AI to real-world challenges and collaborating with diverse teams.
- 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) employer: Deepstreamtech
At Clarasight, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As a Forward Deployed Engineer, you'll not only engage with cutting-edge technology but also have the opportunity to shape impactful solutions in high-stakes environments. Our commitment to employee growth is evident through continuous learning opportunities and a supportive team atmosphere, making Clarasight an exceptional place for those seeking meaningful and rewarding careers in the fintech space.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer (Clarasight)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to the role. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience.
✨Tip Number 3
Showcase your skills through projects or contributions to open-source. We love seeing real-world applications of your work, especially if you can demonstrate how you've tackled messy data or built integrations.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to make an impact.
We think you need these skills to ace Forward Deployed Engineer (Clarasight)
Some tips for your application 🫡
Show Off Your Experience:Make sure to highlight your 5–8+ years in software or data engineering. We want to see how you've tackled ambiguous situations and delivered results, so don’t hold back on those examples!
Be Clear and Concise:When writing your application, keep it straightforward. We love clear communication, so make sure your points are easy to understand and get straight to the heart of what you bring to the table.
Demonstrate Your Technical Skills:Don’t forget to mention any experience with AI/ML and how you've applied it to real-world problems. We’re looking for someone who can turn complex data into actionable insights, so show us what you’ve got!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into the process quickly. Plus, it shows you’re keen to join the StudySmarter team!
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 AI/ML applications, especially how they can solve real-world problems. Be ready to discuss specific projects where you've tackled messy enterprise data.
✨Showcase Your Communication Skills
Since this role involves a lot of customer engagement, practice articulating complex technical concepts in simple terms. Prepare examples of how you've successfully communicated with non-technical stakeholders in the past. This will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Real-World Scenarios
Expect to be asked about how you would handle ambiguous situations or high-pressure environments. Think of examples from your past where you’ve had to make quick decisions or adapt to changing requirements. This will show that you thrive in dynamic settings.
✨Think Product, Not Just Solutions
Be ready to discuss how you can turn customer-specific solutions into scalable product capabilities. Highlight any experience you have in productization and how you’ve contributed to building frameworks that last. This will align perfectly with what the company is looking for.
