Senior Product Software Engineer (Python)

About Tyba Tyba is a modeling platform for energy companies developing, financing, and operating renewable energy infrastructure. Energy companies rely on technical models daily to make crucial infrastructure decisions. Our mission is to make cutting-edge models accessible to cross-functional teams so that companies can build and operate more renewable energy more profitably. We are backed by leading climate and generalist VCs and work with many of the industry’s most innovative energy companies. The Role We are looking for a Senior Product Software Engineer to join our Engineering team and lead key initiatives that deliver high-value, customer-facing products. You will excel in this role if you thrive in fast-paced environments, have a strong sense of ownership, and are comfortable bringing clarity to ambiguous problems. You will drive major portions of the engineering roadmap—from concept to launch—working closely with product, policy, and commercial stakeholders. This is a full-stack role involving both backend and frontend development, with an emphasis on building scalable systems and delivering high-quality, maintainable code. Our Product Tyba has two main products for customers – Asset Operations and Project Simulation Asset Operations: An Auto-bidding platform, powered by a proprietary neural network, that recommends and executes operating strategies based on industry-leading price forecasts and optimization methodology. Project Simulation: A configurable simulation platform enabling developers to model realistic financial and physical outcomes based on location, market dynamics, and battery specifications. You’ll focus most of your time on Asset Operations while staying connected to Project Simulation. Within Asset Operations, you’ll lead key efforts to support new energy markets and strengthen our product in existing markets. You’ll focus on giving our customers more control over their batteries and articulating through the product why the battery chose to take a particular action. Responsibilities - Lead engineering initiatives end-to-end. This includes scoping, development (frontend and backend), testing, releasing, and monitoring.

• Collaborate cross-functionally with Engineering, Product, Policy, and Marketing teams to ensure alignment and push the product forward.
• Demonstrate a high bar for code quality.

• Exceptional communication, half of Tyba is remote across different U.S. timezones - Design, advise, and build the next versions of our GraphQL API - Debug and fix production issues + participate in an on-call rotation. Required Skills - 5+ years of professional full-stack software engineering experience - Strong proficiency in Python - Proficiency in React - Experience with production GraphQL APIs (we use Strawberry) - Motivated to learn ClojureScript quickly (ClojureScript is our frontend language) - Ability to work cross-functionally, synthesizing requests from non-technical team members and external parties into well-designed engineering solutions - Comfortable working in a fast-paced startup environment with evolving requirements - Basic proficiency with agentic coding tools (e.g., Cursor, Copilot, Claude Code, Warp Agent Mode): You should be able to leverage AI-assisted development to accelerate your workflow while maintaining a high bar for code quality.

Salary

Benefits

• Flexible Work Environment: Hybrid work model, remote work options, and team offsites.

• Showcase a portfolio of full‑stack projects that include Python backends and React frontends; highlight any GraphQL work.
• Prepare to discuss how you have used AI coding assistants, including specific prompts or workflows you found effective.
• Be ready to walk through a complex debugging session you led, emphasizing monitoring and incident resolution.
• Demonstrate curiosity about renewable‑energy modeling by reviewing Tyba’s public product pages before the interview.
• When negotiating, emphasize the value of equity and remote‑work flexibility rather than focusing solely on base salary.
• Watch for vague expectations around ClojureScript proficiency; ask how much training or mentorship is provided.
• Tailor your technical interview prep to include GraphQL schema design and Python performance optimization scenarios.