A.I. Manager

About the Company

We are a forward-thinking company committed to leveraging innovation to drive business growth and operational excellence. As part of our continued investment in technology, we are building an in-house AI department to lead the design, development, and deployment of AI-driven solutions across key areas of our business.

Why Join Us

• Be a founding leader in shaping our AI capabilities and strategy.

• Work remotely with flexibility and autonomy.

• Join a collaborative, innovative, and mission-driven team.

• Competitive compensation, benefits, and growth opportunities.

Job Summary

We are seeking an experienced and visionary AI Manager to lead the formation and development of our in-house AI team. This is a foundational leadership role responsible for designing the AI strategy, building a high-performing team, and overseeing the delivery of impactful AI solutions that align with our business objectives.  You will work cross-functionally with business stakeholders, engineers, analysts, and product managers to identify opportunities where AI can create value, and then lead the implementation of those solutions from concept to production.

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Key Responsibilities

Strategy & Leadership

• Define and execute the AI roadmap in alignment with business goals.

• Serve as the company’s internal expert on AI trends, opportunities, and risks.

• Build and lead a remote AI team, including recruiting, mentoring, and performance management.

• Collaborate with leadership to identify high-impact AI use cases across departments.

Project Management & Delivery

• Oversee the development and deployment of AI models and tools.

• Ensure AI projects are delivered on time, within scope, and meet quality standards.

• Drive adoption of best practices in data science, MLOps, and model governance.

Technical Oversight

• Guide model development, including machine learning, deep learning, NLP, and generative AI, depending on use cases.

• Ensure scalable and maintainable AI systems and pipelines.

• Partner with data engineering teams to ensure data quality, availability, and security.

Cross-Functional Collaboration

• Communicate complex AI concepts clearly to non-technical stakeholders.

• Translate business problems into data-driven solutions.

• Advocate for ethical AI practices and responsible data use across the organization.

Required

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.

• 5+ years of experience in applied AI, machine learning, or data science roles.

• 2+ years of experience in a leadership or managerial capacity.

• Proven experience delivering AI/ML solutions in a business environment.

• Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.

• Experience working in agile, cross-functional teams.

Preferred

• Experience in building and scaling internal AI functions from the ground up.

• Familiarity with LLMs, generative AI, and prompt engineering.

• Exposure to AI use cases across multiple domains (e.g., marketing, operations, customer support).

• Excellent communication, presentation, and stakeholder management skills.