Strategy and Business Development Team Member

About the role

We’re building and evolving engineering models that capture the chemical, electrical, and mechanical behavior of energy infrastructure. You’ll own the model architecture end-to-end, including physical assumptions, numerical methods, algorithms, validation, and input/output design.

You’ll leverage AI-assisted development tools to transform engineering models into lightweight web applications that enable self-service analysis across the organization. You’ll continuously improve and maintain model accuracy as project designs evolve, new technologies are introduced, and commercial requirements expand.

Responsibilities

• Build and advance engineering models from first principles.
• Evaluate development opportunities by sizing assets, estimating technical performance, identifying risks, and stress-testing assumptions across a range of scenarios.
• Translate complex engineering analyses into clear, actionable insights for technical and non-technical stakeholders.
• Provide quantitative support for investment theses by evaluating technology performance, cost drivers, and technical risk.
• Identify opportunities to improve modeling speed, accuracy, scalability, and accessibility across the organization.
• Evaluate external datasets, vendor specifications, and published research to continuously improve model quality and relevance.

Requirements

• Bachelor's degree or higher in Engineering, Physics, Mathematics, or a related quantitative discipline.
• Demonstrated ability to develop engineering models from first principles through academic research, coursework, or professional experience.
• Strong understanding of engineering fundamentals, applied mathematics, and quantitative analysis.
• Proficiency in Python preferred, or experience with similar technical computing languages such as Julia, MATLAB, or R.
• Experience building structured, well-documented models with clear separation between physical assumptions, computational logic, and outputs.
• Strong analytical skills with the ability to synthesize complex technical information into practical business insights.
• Excellent written and verbal communication skills.
• Interest in energy, infrastructure, or climate-related industries.

Qualifications

• Experience or coursework in power systems engineering, natural gas power generation, optimization techniques, electrochemical systems, or related fields is a plus.
• A proactive, self-directed approach with the ability to navigate ambiguity and manage competing priorities.
• A curiosity, humility, resilience, and a growth mindset that embraces continuous learning and feedback.
• A commitment to integrity, accountability, collaboration, and delivering high-quality work that supports Intersect's values.

Skills

• Python programming
• Modeling and simulation
• Technical writing and communication
• Quantitative analysis

Benefits

• Total Compensation: $118,750 - $137,500 (total compensation includes base salary + bonus in USD)
• Equity: Beyond your salary, you’ll receive an Equity Grant, giving you a meaningful stake in our parent company.
• Health & wellness: 100% premium coverage for you and your dependents on medical, dental, and vision
• Time to recharge: Unlimited PTO, plus two company-wide breaks (Fourth of July & end of year)
• Family support: Up to 12 weeks of fully paid parental leave, plus 6 additional weeks for birth parents; access to family planning and family care support through Carrot and Maven
• Mental health: Free access to Spring Health, including 5 free therapy and psychiatry sessions, plus a Headspace account for mindfulness and meditation through our physical health vendor, Wellhub+
• Perks & extras: $150 monthly food stipend, $150 monthly reimbursement for cell phone and internet, pet insurance allowance, full home office setup, free access to UrbanSitter with $625 in quarterly company-paid credits, ActiveHero, and One Medical

Pay

Total Compensation: $118,750 - $137,500 (total compensation includes base salary + bonus in USD)

Schedule

Full-time, remote

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