Client Engagement Manager (Based in Seattle, WA)

About the role

We are seeking a dynamic and innovative individual to join our team. This role will play a pivotal part in driving our mission of accelerating positive impact in critical industries through AI transformation.

Responsibilities

• Develop and implement AI-driven solutions tailored to client needs
• Collaborate with cross-functional teams to understand client challenges and translate them into actionable strategies
• Contribute to the design and development of reusable AI frameworks and tools
• Provide technical guidance and mentorship to junior team members
• Stay updated with the latest advancements in AI and climate technologies

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• At least 5 years of relevant work experience in AI, machine learning, or a closely related field
• Experience with data analysis, model building, and deployment
• Strong problem-solving skills and ability to work independently and collaboratively
• Excellent communication and interpersonal skills

Qualifications

• Proven track record of delivering successful AI projects
• Experience with cloud platforms (AWS, Azure, Google Cloud)
• Knowledge of ethical considerations in AI and climate applications
• Ability to manage multiple projects simultaneously

Skills

• Proficiency in Python, R, or other programming languages
• Experience with machine learning libraries and frameworks (TensorFlow, PyTorch, Scikit-learn)
• Understanding of deep learning concepts and architectures
• Experience with data preprocessing, feature engineering, and model evaluation
• Knowledge of cloud-based AI services and tools

Benefits

• Competitive compensation package including base salary and performance-based bonuses
• Comprehensive healthcare plan with coverage for dependents and Health Savings Account (HSA)
• Flexible work schedule and remote work options
• Equity participation in the company
• 401(k) retirement savings plan
• Support for professional development and continuous learning
• Annual in-person summits and training opportunities

Pay

Compensation is competitive and commensurate with experience.

Schedule

The role is fully remote and flexible, allowing for a healthy work-life balance.