F
Technical Product Lead
Fuse Energy
Technical Product Lead
Posted 3 months ago
Employment Type
Full Time
Location
Dubai
Experience
Lead
Benefits
Annual LeavePaid Leave
Requirements
engineering degree, systems thinking, Python, SQL, product intuition
Required Skills
Job Description
Responsibilities
- Design, prototype, and scale new energy products, from idea to delivery, using tools like Python and SQL.
- Model physical and financial energy systems: optimise capacity and build business logic for everything from trading to tariffs.
- Work closely with engineers and operators to build and launch real-world systems across our energy stack - solar, storage, EVs, hydrogen and beyond.
- Deep dive into markets and regulations to break into new geographies - scoping feasibility, operational constraints and cost models.
- Own end-to-end delivery of critical projects: from writing Python scripts to running simulations, negotiating with suppliers and iterating based on real-world feedback.
Requirements
- Strong background in engineering, physics, maths or similar from a top university
- Excited by ambiguity and progress-driven
- Systems thinker with experience across hardware, software, regulation, and operations
- Entrepreneurial mindset and strong product intuition
- Passion for real, meaningful problems in the energy space
Benefits
- Competitive salary and equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Paid annual leave
- Breakfast and dinner for office-based employees
About the Company
Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy, fast. Combining first-principles thinking with cutting-edge technology, the company builds a radically better energy system across solar, wind, hydrogen projects, and real-time power trading. Backed by top-tier investors, Fuse Energy delivers value directly to consumers and is creating the Energy Network—a decentralized platform of smart devices to reward users, stabilize the grid, and support energy-intensive industries like AI data centers.