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- Tasks: Transform client workflows by developing scalable data models and generative AI capabilities.
- Company: Early-stage B2B SaaS business with a focus on innovation and growth.
- Benefits: Competitive salary, benefits package, annual bonus, and stock options.
- Why this job: Join a dynamic team and make a real impact in a fast-paced startup environment.
- Qualifications: 4-6 years in data engineering or product-focused roles, strong Python and SQL skills.
- Other info: Hybrid role in London with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
With a new year comes new opportunities and I am delighted to be partnered with an early stage B2B SaaS business as they continue their impressive growth journey from 2025. Such is their success that they are now looking to hire a number of people across the business, one such hire is an exciting opportunity for a Product Engineer to become a part of the growing team to help transform how their clients and customers work.
Key Responsibilities
- Understand existing and new customer use cases by collaborating with Data Engineers, product managers, and end users
- Translate use cases into configurable, reusable platform functionality that can be deployed across multiple clients
- Design and build scalable data models, workflows, and abstractions that support a high degree of variation without custom code
- Develop and extend generative AI workflows and system capabilities (e.g. using platforms like Palantir AIP) as part of the core product
- Build and maintain robust data integration capabilities using PySpark and other distributed technologies
- Balance short-term delivery with long-term platform coherence, maintainability, and extensibility
- Contribute to architectural decisions that shape the evolution of the platform
Key Skills
- 4–6 years of experience in data engineering, analytics engineering, or product-focused engineering roles
- Experience working on platforms or products, ideally SaaS and not just one-off implementations
- Ability to translate complex, ambiguous business problems into clean, extensible technical solutions
- Strong fundamentals in Python, PySpark, and SQL
- Comfortable working in fast-moving startup environments where requirements evolve quickly and can be undefined
Nice to Have
- Experience with Palantir Foundry, or experience with tools such as Databricks, Snowflake, DBT and Airflow.
- Comfortable working with Typescript
- Knowledge of API design and backend product development
- Familiarity with enterprise systems such as ERP (e.g. SAP, Oracle) or CRM platforms
- Exposure to generative AI systems, orchestration frameworks, or AI-enabled workflows
Other Details
- This role is a Hybrid role with the expectation of working in the London office 3 days per week
- My client cannot offer sponsorship at this time
- Compensation: Competitive salary - plus benefits package, annual bonus and stock options
If you’re excited by everything you’ve read above and have the experience to match, please get in touch as we would love to tell you more! Email – colin@vividrock.co.uk
Finally… We are expecting an exceptionally high volume of applications; sadly, we’re unlikely to be able to respond to each individual applicant. Thanks for being patient and we’ll be sure to get in touch if we’re keen to take your application further. Vivid Rock is passionate about championing diversity and challenging unconscious bias and treats each application carefully. Thank you for your interest and please follow our page for further updates.
Product Engineer employer: Vivid Rock
Contact Detail:
Vivid Rock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to data engineering and SaaS. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to product engineering. Think about how you'd tackle real-world problems they might face, and be ready to discuss your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Product Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Product Engineer role. Highlight your experience with data engineering and any relevant projects that showcase your skills in Python, PySpark, and SQL. We want to see how you can fit into our team!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex business problems in the past. We love seeing candidates who can translate ambiguity into clear, technical solutions, so don’t hold back on those success stories!
Keep It Clear and Concise: When writing your application, be straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate clarity just as much as you do!
Apply Through Our Website: We encourage you to submit your application through our website. This helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Vivid Rock
✨Know Your Tech Inside Out
Make sure you brush up on your Python, PySpark, and SQL skills. Be ready to discuss how you've used these technologies in past projects, especially in a SaaS context. The more specific examples you can provide, the better!
✨Understand the Business
Familiarise yourself with the company’s product and its use cases. Think about how you can translate complex business problems into technical solutions. This will show that you’re not just a techie but also understand the bigger picture.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or design workflows. Practice articulating your thought process clearly and logically. This is your chance to showcase your problem-solving skills and creativity!
✨Show Enthusiasm for AI and Innovation
Since the role involves generative AI workflows, express your interest in AI technologies and any relevant experience you have. Discussing your passion for innovation can set you apart from other candidates.
