Manager – AI

This is a fully remote position, open to applicants in California.

📋 Description

• Transform the enterprise AI strategy into actionable team goals, delivery priorities, operational frameworks, and investment strategies.

• Facilitate the adoption of large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, multimodal AI, knowledge architectures, and emerging AI technologies.

• Assess new AI trends, technologies, and industry practices to influence roadmap decisions and pinpoint innovation opportunities.

• Provide leadership and strategic direction to multidisciplinary AI teams.

• Foster continuous improvement throughout experimentation, model development, evaluation, deployment, monitoring, governance, and lifecycle management.

• Establish the enterprise AI technology vision, strategic architecture, and innovation roadmap.

• Deliver executive-level leadership for AI architecture governance concerning scalability, security, resilience, interoperability, responsible AI, compliance, and operational excellence.

• Spearhead the development and enhancement of intricate AI-enabled applications, platform services, and enterprise frameworks.

• Create and implement reusable, scalable components for AI solution deployment.

• Promote software engineering best practices, code quality, and automation across AI projects.

• Collaborate with executive leadership, product, engineering, architecture, data, security, infrastructure, governance, and business stakeholders.

• Ensure that AI initiatives are in alignment with enterprise architecture, cybersecurity, responsible AI, regulatory requirements, data governance, and operational excellence.

• Oversee the execution and delivery of AI initiatives by prioritizing tasks, managing resources, eliminating obstacles, and ensuring scalable, secure, impactful solutions.

• Manage the AI project and product portfolio, balancing investments, priorities, dependencies, commitments, and capacity.

• Define requirements, success metrics, and outcomes for AI solutions in collaboration with product managers and stakeholders.

• Drive the lifecycle management of AI solutions from discovery to continuous improvement.

• Support the evolution of AI platforms, developer capabilities, data products, experimentation environments, and reusable AI services.

• Lead, manage, and develop Data Scientists, AI Engineers, Machine Learning Engineers, and related AI professionals.

• Build a high-performing AI organization through effective hiring, workforce planning, talent development, performance management, and career growth initiatives.

• Provide coaching and mentorship to technical professionals.

• Establish and advocate for responsible AI governance practices.

• Define team-level quality expectations and operational practices for model evaluation, validation, monitoring, performance measurement, and production readiness.

• Encourage ongoing enhancement in AI processes, tools, methodologies, and organizational practices.

⛳️ Requirements

• Bachelor’s degree in a relevant field or equivalent experience.

• Over 3 years of professional experience in software engineering, data science, machine learning, artificial intelligence, technology delivery, and technical leadership in large-scale enterprise environments.

• Proven track record of building high-performing technical teams, delivering enterprise AI capabilities, managing complex technology initiatives, and translating business objectives into scalable AI solutions.

• Experience in leading AI, data science, software engineering, or technology teams in the development and deployment of production-grade AI capabilities.

• Background in managing technical roadmaps, resource planning, delivery execution, and organizational transformation initiatives.

• Demonstrated ability to lead complex, ambiguous technology initiatives and align people, processes, technical capabilities, and business priorities.

• Capacity to lead and develop multidisciplinary teams of Data Scientists, AI Engineers, Machine Learning Engineers, and software professionals.

• Exceptional ability to communicate intricate AI concepts, technical strategies, delivery plans, risks, and opportunities to executive, business, technical, and non-technical audiences.

• Ability to collaborate with executives, product leaders, engineering leaders, architects, data organizations, security teams, governance teams, and business stakeholders.

• Strong strategic thinking, organizational leadership, analytical problem-solving, decision-making, and execution capabilities.

• Profound technical understanding of LLMs, foundation models, generative AI applications, agentic AI, RAG, machine learning systems, AI evaluation methodologies, and emerging AI technologies.

• Comprehensive understanding of enterprise AI solution lifecycles, including discovery, experimentation, data preparation, model development, evaluation, deployment, monitoring, optimization, and continuous improvement.

• Experience implementing or supporting responsible AI practices, including AI governance, model risk management, security, privacy, compliance, ethical AI principles, and operational controls.

• Expertise in evaluating emerging AI technologies, identifying business opportunities, assessing technical feasibility, and guiding adoption decisions.

• Experience managing AI technology roadmaps, prioritizing investments, identifying delivery risks, and evolving enterprise AI capabilities.

• Ability to create executive-level communication materials, AI capability roadmaps, delivery plans, operating models, investment proposals, and technical strategy documentation.

• Capability to enhance organizational AI maturity through team development, process improvements, technical enablement, innovation initiatives, and AI engineering best practices.

🏝️ Benefits

• Group health insurance benefits (medical, vision, dental).

• FSA and HSA healthcare accounts.

• Life and accident insurance.

• Adoption and fertility assistance.

• Paid parental leave of up to 6 weeks.

• Short-term and long-term disability.

• Paid time off for vacation, personal needs, and sick leave.

• Up to 17 days of Choice Time Off (CTO) per calendar year for new hires, prorated based on hours worked and varying by years of service.

• Up to 11 paid holidays per calendar year.

• Opportunity to participate in a company 401(k) savings and investment plan or deferred compensation plan, if eligible.

• Employer 401(k) match of 100% on the first 3% of contributions for eligible employees.

• Discretionary annual bonus.

• Reasonable accommodation assistance for applicants with disabilities.