Product Engineer

Responsibilities:

• Build scalable backend systems and data-intensive products for hedge fund and investment workflows.
• Own features end-to-end, from problem definition and technical design to development, deployment, and iteration.
• Work closely with investment teams to understand complex workflows and translate them into reliable products.
• Design data pipelines, integrations, APIs, and backend services handling complex financial data.
• Work across engineering, data, and product rather than operating within a narrowly defined role.
• Make pragmatic technical decisions with a strong focus on reliability, performance, and usability.
• Debug production issues and take ownership of outcomes rather than just assigned tasks.
• Continuously improve systems based on customer feedback and real-world usage.

Requirements:

• Good experience in backend/product engineering, with strong exposure to data-intensive systems.
• Strong proficiency in Python and experience with backend frameworks, APIs, databases, and distributed systems.
• Strong understanding of data modelling, data pipelines, SQL, and data processing.
• Experience building products for financial services, fintech, investment management, hedge funds, trading, or other data-heavy B2B environments is highly preferred.
• Experience working in high-ownership startup or product environments.
• Strong problem-solving skills and ability to operate independently in ambiguous situations.
• Someone who thinks beyond "writing code" and takes complete ownership of the product outcome.
• Strong communication skills and ability to work directly with demanding business/investment users.
• Someone who has worked on complex B2B/B2C products involving backend + data, understands the importance of accuracy and reliability in financial workflows, and is comfortable taking a problem from idea to build to production customer impact.
• High ownership, strong technical depth, and a product mindset are critical for this role.