Define and own the product roadmap, aligning business strategy, customer needs, and market opportunities.
Own the end-to-end delivery of product features and improvements
Work closely with engineers to break down requirements into practical, implementable solutions
Write clear product specifications, user stories, and acceptance criteria
Provide day-to-day clarity and direction within the team, quickly resolving ambiguity and unblocking delivery
Work closely with the data science capability and quantitative users to: shape and improve the Python-based algorithm development experience, support effective workflows for backtesting, simulation, and live trading
Act as a hands-on bridge between technical and non-technical perspectives, ensuring shared understanding without relying on heavy process or documentation
Engage directly with traders and quants to understand user workflows and priorities
Collaborate on cloud architecture and SaaS delivery (Azure-based)
Ensure strong performance, scalability, and reliability across the platform
Provide input into API design, data models, and system architecture
Build a culture of excellence and collaboration as part of a team
Actively participate in the Scrum team to deliver the product in an agile way by providing user acceptance and compliance with acceptance criteria set for the feature.

Strong Python proficiency (comfortable reading and writing production-level code)
Experience delivering complex, technical or data-driven software products
Experience working closely with engineers on SaaS products
Experience in algorithmic trading, financial markets, or energy trading
Ability to translate complex technical concepts into clear, actionable product decisions
Strong communication and stakeholder management skills
Experience working in Agile development environments
Great attention to detail with ability to work independently and also as part of a team.
Knowledge of power markets, particularly short-term or intraday markets desirable
Familiarity with back testing frameworks, time-series data systems, real-time or low-latency systems
Understanding of software architecture and distributed system design
Knowledge of data pipelines, time-series data, and performance considerations
Awareness of trading system requirements such as latency, resilience, and risk controls
Strong understanding of cloud platforms (Azure, AWS, or GCP)

Great compensation + 5% bonus + private health insurance!
25 days' holiday + bank holidays
1/2 day off Christmas Eve & New Year's Eve
Pluralsight licenses for engineering team members
Flexible working hours
An opportunity to build a modern technology platform for the power and energy trading markets
A positive, values-driven culture

Technical Product Manager

Key skills