/Product Engineer

Product Engineer

London, United Kingdomgbvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
7 months ago

About the Role

<p>We’re looking for a passionate <strong>Product Engineer</strong> to join our team at STRATOS – someone excited to sit at the intersection of product thinking, data engineering, and applied AI. </p> <p>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 </p> <p><strong>About Us</strong> </p> <p>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. </p> <p>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. </p> <p>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. </p> <p>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. </p> <p><strong>Why Product Engineering at STRATOS</strong> </p> <p>As STRATOS scales, our success depends on transforming learnings from custom product adaptions done in the field into our core, configurable platform functionality. </p> <p>Product Engineering at STRATOS is about: </p> <ul> <li>Generalizing from real-world complexity </li> <li>Designing abstractions that hold across diverse business contexts </li> <li>Building flexible systems that adapt without fragmenting whilst managing complexity</li> </ul> <p>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.</p> <h2 id="tasks">Tasks</h2> <p>The main responsibilities of this role include:</p> <ul> <li>Understand new and emerging customer use cases by collaborating with Forward Deployed Engineers, product managers, and end users</li> <li>Translate those use cases into <strong>configurable, reusable platform functionality</strong> that can be deployed across multiple customers, built in Palantir Foundry as deployable templates. </li> <li>Design and build scalable data models, workflows, and abstractions that support a high degree of variation without custom code</li> <li>Develop and extend generative AI workflows and system capabilities (e.g. using platforms like Palantir AIP) as part of the core product</li> <li>Build and maintain robust data integration capabilities using PySpark and other distributed technologies</li> <li>Balance short-term delivery with long-term platform coherence, maintainability, and extensibility</li> <li>Contribute to architectural decisions that shape the evolution of the STRATOS platform</li> </ul> <h2 id="requirements">Requirements</h2> <ul> <li>2–6 years of experience in data engineering, analytics engineering, or product-focused engineering roles </li> <li>Experience working on <strong>platforms or products</strong>, not just one-off implementations </li> <li>The ability to translate complex, ambiguous business problems into clean, extensible technical solutions </li> <li>Strong fundamentals in <strong>Python,</strong> <strong>PySpark, and SQL</strong> </li> <li>Comfortable working in fast-moving startup environments where requirements evolve quickly and can be unclear</li> </ul> <p><strong>Preferred Skills and Qualifications</strong> </p> <ul> <li>Experience with Palantir Foundry, or experience with tools such as Databricks, Snowflake, DBT and Airflow. </li> <li>Comfortable working with Typescript </li> <li>Knowledge of API design and backend product development </li> <li>Familiarity with enterprise systems such as ERP (e.g. SAP, Oracle) or CRM platforms </li> <li>Exposure to generative AI systems, orchestration frameworks, or AI-enabled workflows</li> </ul> <h2 id="benefits">Benefits</h2> <ul> <li>Become part of a category-defining startup which transforms how industrial companies operate and compete </li> <li>Close collaboration with an elite, interdisciplinary team of seasoned tech and business leaders </li> <li>Close mentorship from experienced engineers and operators </li> <li>A steep but rewarding learning curve that is designed to challenge you and help you grow </li> <li>A highly competitive compensation package </li> <li>Attractive Stock options program, allowing you to share in the long-term success and growth of the company </li> <li>Flexible hybrid and local work options, with the option for visa sponsorship </li> <li>A dynamic, barista-equipped office in the heart of London, designed to foster creativity and collaboration </li> <li>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</li> </ul>

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