Product Engineer

Product Engineer (Data / Platform / Applied AI)
Location: London (hybrid 3 days onsite)
The Opportunity
We’re partnering with a rapidly scaling, venture-backed technology startup building a next-generation enterprise data and AI platform. They’re looking for a Product Engineer who thrives at the intersection of product thinking, data engineering, and applied AI.This role is ideal for someone excited about turning real-world complexity into reusable, configurable platform capabilities — enabling enterprise customers to deploy powerful solutions without bespoke engineering every time.
In a world where competitive advantage is driven by adaptable platforms rather than one-off implementations, you’ll help lay the technical foundations that allow the product to scale across industries, geographies, and operating models.
About the Company
The company is developing a category-defining Strategy & Decision Intelligence platform that unifies internal and external data into a single, intelligent system. It enables large enterprises — including global industrial and Fortune 500 organisations — to make clearer, faster, and more durable strategic decisions.
Founded by experienced technology and business leaders, the company launched in the early 2020s and has since seen strong enterprise adoption, significant institutional backing, and rapid growth. Their platform combines deep data integration, enterprise-grade workflows, and cutting-edge generative AI to deliver step-change productivity gains for lean teams.
As the platform scales, success depends on transforming learnings from customer deployments into core, reusable product functionality.
Product Engineering in this environment is about:

• Generalising from complex, real-world use cases
• Designing abstractions that work across diverse enterprise contexts
• Building flexible systems that scale without fragmenting

You’ll work closely with customer-facing engineers, product leaders, and end users to identify common patterns — then turn them into configurable capabilities within a single, scalable codebase.
What You’ll Be Doing

• Collaborate with engineers, product managers, and customers to understand emerging use cases
• Translate those use cases into reusable, configurable platform components
• Design scalable data models, workflows, and abstractions that support high variability
• Build and extend generative AI-enabled workflows as part of the core product
• Develop and maintain robust data pipelines using Python, PySpark, and distributed systems
• Balance near-term delivery with long-term platform maintainability and coherence
• Contribute to architectural decisions shaping the evolution of the platform

What We’re Looking For

• 2–6 years’ experience in data engineering, analytics engineering, or product-focused engineering
• Experience building platforms or products, not just one-off solutions
• Strong ability to turn ambiguous business problems into clean technical designs
• Solid foundations in Python, PySpark, and SQL
• Comfortable operating in a fast-moving startup environment

Nice to Have

• Experience with modern data platforms (e.g. Foundry, Databricks, Snowflake, dbt, Airflow)
• TypeScript experience
• API design and backend product development exposure
• Familiarity with enterprise systems (ERP, CRM, etc.)
• Exposure to generative AI systems or AI-enabled workflows

What’s On Offer

• Join a category-defining, high-growth startup solving complex enterprise problems
• Work alongside a highly experienced, interdisciplinary leadership team
• Strong mentorship and a steep, rewarding learning curve
• Competitive salary and meaningful equity
• Flexible hybrid working and visa sponsorship where required
• Modern London office designed for collaboration
• A company committed to social and environmental responsibility