About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Enterprise AI & Machine Learning Engineering based in United States.
Responsibilities
- Lead the engineering and machine learning strategy for agentic AI solutions designed to address complex needs of enterprise and retail partners
- Build, mentor, and inspire high-performing engineering and science teams
- Partner directly with enterprise customers, product leaders, consultants, data scientists, machine learning engineers, and forward-deployed engineers to translate complex business challenges into impactful AI products
- Guide the development of production-ready systems combining machine learning, data, software engineering, and agentic AI capabilities
- Establish technical direction in a zero-to-one product environment
- Lead teams through the complete product development lifecycle
- Represent the Enterprise AI function across the organization by communicating technical tradeoffs, progress, risks, opportunities, and strategic priorities to senior stakeholders
- Build alignment across technical, product, commercial, and customer-facing teams around AI strategy and execution
- Create clarity and momentum in an evolving environment while maintaining high standards for quality, responsible AI development, and customer impact
- Make thoughtful decisions amid ambiguity and continuously adapt technical and product approaches
Requirements
- Demonstrated experience building and deploying agentic AI, generative AI, or machine learning products in production environments
- Experience leading engineering, machine learning, data science, or applied science teams through product development and delivery
- Proven ability to partner with product, business, customer-facing, and technical stakeholders
- Strong understanding of machine learning development practices, software engineering principles, data systems, and the operational requirements involved in scaling AI applications
- Demonstrated ability to set technical direction, prioritize initiatives, manage ambiguity, and consistently deliver results
- Deep technical expertise in agentic systems, large language models, machine learning platforms, or related areas of applied artificial intelligence is preferred
- Experience delivering applied machine learning products at significant scale is preferred
- Experience leading cross-functional initiatives is preferred
- Experience working directly with retailers, commerce platforms, or other enterprise customers is preferred
- Strong communication, leadership, collaboration, strategic thinking, and decision-making skills
Conditions
- Base salary range of $313,000–$330,500 CAD for Canadian-based candidates
- Compensation may vary based on location, experience, skills, qualifications, and other relevant factors
- Eligibility for a new-hire equity grant
- Eligibility for annual equity refresh grants
- Competitive compensation and benefits package
- Flexible work environment allowing employees to work from home, an office, or another preferred location
- Regular opportunities for in-person connection and team-building
- Additional benefits available based on work location