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- Tasks: Build and deliver custom datasets that drive real revenue outcomes for customers.
- Company: Fast-growing B2B data SaaS company transforming sales teams' market targeting.
- Benefits: Competitive salary, hybrid work setup, and opportunities for professional growth.
- Other info: Join a mission-critical role in a company growing 315% YoY.
- Why this job: Be at the intersection of Sales, Product, and Data while making a real impact.
- Qualifications: Good with data analysis, technically comfortable, and confident in customer interactions.
The predicted salary is between 65000 - 75000 ÂŁ per year.
Most “customer-facing technical” roles are still one-sided: You either stay close to customers, but far from the real technical work, or you stay technical, but far from the actual business impact. This role sits right in the middle.
We’re hiring a Solutions / Forward Deployed Engineer for a fast-growing B2B data SaaS company transforming how sales teams define and target their markets.
- Location: London (hybrid)
- Setup: 2-3 days in office
- Language: English
- Focus: Data modelling, integrations, customer delivery
- Stack: CRM (Salesforce/HubSpot), APIs, JSON, data warehouse
- Comp: ~ÂŁ65-75k base + bonus
- Growth: 315% YoY
The role involves working directly with customers and commercial teams to build and deliver custom datasets that drive real revenue outcomes. This isn’t a typical pre-sales role; it’s hands-on, iterative, and deeply tied to how customers actually go to market. Responsibilities include:
- Building and refining datasets based on real CRM data
- Translating GTM needs into data models and queries
- Integrating data into CRMs, sequencing tools, and warehouses
- Working with APIs, JSON, and data pipelines
- Iterating continuously based on performance and feedback
- Feeding insights back into Product and Engineering
This role exists because the company is scaling fast, but custom dataset creation is the bottleneck. This hire is fundamental to unlocking growth by increasing speed, quality, and scalability across sales and onboarding.
Who it could suit:
- You don’t need to be a software engineer.
- You do need to be good with data (analysis, wrangling, spreadsheets).
- Technically comfortable (APIs, integrations, structured data).
- Curious, proactive, and able to operate with ambiguity.
- Confident enough to work directly with customers (C-suite).
Why it’s interesting:
- You own the technical side of revenue delivery, not just demos.
- You work on real data problems, not generic use cases.
- You sit at the intersection of Sales, Product, and Data.
- You join a company growing 315% YoY, where this role is mission-critical.
This is a strong opportunity for someone who wants to stay technical, be customer-facing, and have direct impact on how revenue teams operate.
Solutions Engineer | 315% YoY SaaS scaleup in City of London employer: Bluebird
Contact Detail:
Bluebird Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer | 315% YoY SaaS scaleup in City of London
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in being part of their growth story.
✨Tip Number 2
Practice your technical skills and be ready to discuss how you've used data in real-world scenarios. Think about specific examples where you've integrated data into systems or solved problems using APIs and JSON.
✨Tip Number 3
Don’t shy away from asking questions during interviews! Show your curiosity by inquiring about their data challenges and how you can contribute to solving them. This demonstrates your proactive mindset and eagerness to make an impact.
✨Tip Number 4
Apply through our website for a smoother process! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Solutions Engineer | 315% YoY SaaS scaleup in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Solutions Engineer. Highlight your experience with data modelling, CRM tools like Salesforce or HubSpot, and any hands-on projects that showcase your technical skills and customer-facing abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of how you've tackled data challenges in the past and how you can help drive revenue outcomes for our customers.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise. Mention your familiarity with APIs, JSON, and data pipelines. We want to see how comfortable you are with the tech stack we use and how you can integrate data into CRMs.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Bluebird
✨Know Your Data
Make sure you brush up on your data modelling skills and understand how to work with CRM systems like Salesforce or HubSpot. Be ready to discuss how you've used data to drive business outcomes in the past, as this role is all about translating customer needs into actionable data models.
✨Understand the Tech Stack
Familiarise yourself with APIs, JSON, and data pipelines. You might be asked to explain how you would integrate data into CRMs or how you’ve handled similar technical challenges before. Showing that you can navigate the tech side will set you apart.
✨Customer-Centric Mindset
Since this role is customer-facing, prepare to demonstrate your ability to communicate effectively with clients, especially at the C-suite level. Think of examples where you've successfully collaborated with customers to deliver tailored solutions.
✨Embrace Ambiguity
This position requires a proactive approach to problem-solving. Be ready to share experiences where you've thrived in uncertain situations or had to iterate based on feedback. Highlighting your curiosity and adaptability will show you're a great fit for this dynamic environment.