At a Glance
- Tasks: Join us to design and build innovative data solutions that transform industries.
- Company: STRATOS Technologies, a rapidly growing startup revolutionising data-driven decision-making.
- Benefits: Competitive salary, stock options, flexible work, and mentorship from industry leaders.
- Other info: Dynamic London office with a commitment to social responsibility and environmental sustainability.
- Why this job: Make a real impact by shaping the future of enterprise applications with cutting-edge technology.
- Qualifications: 2-6 years in data engineering or product-focused roles; strong Python and SQL skills.
The predicted salary is between 80000 - 95000 £ per year.
We’re looking for a passionate Product Engineer to join our team at STRATOS – someone excited to sit at the intersection of product thinking, data engineering, and applied AI. Your work will enable STRATOS to support a wide variety of enterprise applications of the platform with marginal effort, turning insight into durable product leverage. In a world where competitive advantage is created by adaptable platforms rather than bespoke solutions, you’ll help shape the foundations that allow STRATOS to scale across industries, geographies, and operating models.
At STRATOS Technologies, we are transforming how companies make data-driven decisions with our innovative Strategy Operating System. Our software integrates complex datasets into a unified solution, enabling businesses to strengthen their long-term strategies through clear and actionable insights.
Our founders, former business and tech executives who led a $1B division at a Fortune 500 industrial company, originally built a digital twin of their enterprise to drive synchronized planning and execution. Seeing the market’s lack of such a system, they launched STRATOS in 2022 with a bold mission: to build the world’s first strategy operating system that unifies all internal and external data into a single platform.
Today, STRATOS is a category-defining, rapidly growing startup funded extensively by high-profile investors (e.g., Accel) and trusted by nearly a dozen global industrial leaders and Fortune 500 customers. Our software integrates complex datasets into a unified solution, combining deep data integration, best-in-class workflows, and cutting-edge generative AI.
From commercial AI agents to embedded intelligence that supercharges lean teams, STRATOS enables businesses to achieve 10x productivity and strengthen long-term strategies through actionable insights. We are now expanding our team to accelerate our growth even further and help our customers outperform their competition.
As STRATOS scales, our success depends on transforming learnings from custom product adaptations done in the field into our core, configurable platform functionality. Product Engineering at STRATOS is about:
- Generalizing from real-world complexity
- Designing abstractions that hold across diverse business contexts
- Building flexible systems that adapt without fragmenting whilst managing complexity
You’ll collaborate closely with Forward Deployed Engineers, product leaders, and customers to identify their common core functionality; and then develop configurable products that enable those diverse use cases within a single code base. This enables the STRATOS platform to be deployed repeatedly, reliably, and at scale.
The main responsibilities of this role include:
- Understand new and emerging customer use cases by collaborating with Forward Deployed Engineers, product managers, and end users
- Translate those use cases into configurable, reusable platform functionality that can be deployed across multiple customers, built in Palantir Foundry as deployable templates.
- 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 STRATOS platform
Requirements:
- 2–6 years of experience in data engineering, analytics engineering, or product-focused engineering roles
- Experience working on platforms or products, not just one-off implementations
- The 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 unclear
Preferred Skills and Qualifications:
- 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
Benefits:
- Become part of a category-defining startup which transforms how industrial companies operate and compete
- Close collaboration with an elite, interdisciplinary team of seasoned tech and business leaders
- Close mentorship from experienced engineers and operators
- A steep but rewarding learning curve that is designed to challenge you and help you grow
- A highly competitive compensation package
- Attractive Stock options program, allowing you to share in the long-term success and growth of the company
- Flexible hybrid and local work options, with the option for visa sponsorship
- A dynamic, barista-equipped office in the heart of London, designed to foster creativity and collaboration
- A company committed to social and environmental responsibility—we pledge to be a net-zero CO₂ company and donate 1% of our revenue to social causes
Product Engineer in London employer: JOIN
STRATOS Technologies is an exceptional employer for Product Engineers, offering a unique opportunity to work at the forefront of data-driven decision-making in a rapidly growing startup environment. With a strong focus on employee growth through mentorship from seasoned professionals, competitive compensation, and a commitment to social responsibility, STRATOS fosters a collaborative and innovative work culture in a dynamic London office that encourages creativity and flexibility.
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We think this is how you could land Product Engineer in London
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We think you need these skills to ace Product Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at JOIN, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at JOIN. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at JOIN
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at JOIN!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
