Technical Program Lead - AI/ML Product Development Save

Overview

As the Technical Program Lead for Planet Reimagined, your mission will be to define and execute the product vision for AI/ML-driven software solutions supporting Planet Reimagined’s Action Research initiatives. You will work closely with cross-functional teams to translate a high-level product vision into actionable engineering and development requirements, ensuring alignment between user needs, technical execution, and climate impact.

This role requires deep expertise in AI/ML product development, strategic leadership in stakeholder engagement, and a passion for leveraging technology to drive sustainable change. You will collaborate with renewable energy developers, oil and gas industry stakeholders, community-based organizations, and regulatory bodies to shape AI applications that drive engagement with and accelerate the adoption of Planet Reimagined’s innovative climate solutions, such as Common Grounds.

Responsibilities will include:

• Technical Leadership: Provide guidance on feature development, system architecture, and technology stack selection to maximize scalability and effectiveness. Execute, prioritize, and lead multiple, complex, rapidly changing programs involving diverse teams. Translate high-level product vision into actionable requirements for program teams.

• AI/ML Strategy & Development: Define and manage end-to-end AI/ML solutions that drive efficiency in renewable energy deployment and climate solutions while working to mitigate risk. 

• Product Execution & Prioritization: Develop roadmaps and prioritize technical development efforts based on user needs, market demand, and risk assessments.

• Stakeholder Engagement: Balance and advocate for technical needs, UX improvements, and trade-offs across various stakeholders, including nonprofits, government agencies, and industry leaders.

• Data-Driven Decision Making: Establish and track key performance indicators (KPIs) related to AI model adoption, user satisfaction, and project efficiency.

• Emerging Trends & Innovation: Stay informed on industry advancements in AI for climate solutions and propose innovative approaches to enhance Planet Reimagined’s impact.

• Cross-Functional Collaboration: Work closely with software engineers, data scientists, business analysts, and program managers to align technical execution with climate-related goals.

Qualifications include:

• 10+ years of experience in software engineering, AI/ML development, systems engineering, or technical product/program management.

• Proven track record in developing and deploying AI/ML-powered products in complex, multi-stakeholder environments.

• Experience leading cross-functional teams, including software engineers, data scientists, and consultants.

• Experience defining strategic direction for technical product development and identifying new opportunities for impact.

• Strong communication skills and ability to influence leadership and external partners.

• Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP) relevant to AI-driven climate solutions.

• Experience with data analytics, geospatial analysis, and energy modeling tools (e.g., ArcGIS, OpenEnergy, PowerBI) is a plus.

• Ability to drive multiple complex projects simultaneously while balancing stakeholder needs and technological feasibility.

• Prior experience in climate technology, renewable energy, or sustainability initiatives strongly preferred.

Must be a U.S. Citizen or a U.S. Resident with Authorization to Work

Preferred Qualifications

• Experience working in nonprofits, social impact organizations, or environmental agencies.

• Understanding of regulatory and compliance frameworks for AI in climate and energy sectors.

Conditions of Employment:

• Ability to pass a background check

• Ability to provide 3 professional references including a recent supervisor

Salary and Benefits

The targeted salary range for this position is $180,000-220,000, depending on location/cost of living and experience. Additional benefits include paid time off, flexible working hours, and a remote but highly collegial working environment.