Head of AI

What You Will Do

• Define and Execute AI Strategy
• Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and roadmap.
• Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value.
• Clarify incoming requests by outcome, owner, data dependency, business impact, and build-vs-buy path.
• Establish guardrails for AI tools, agents, model usage, data access, and acceptable use without slowing down adoption.
• Run Intake, Prioritization, and Governance
• Set AI Strategy and OKRs in partnership with senior leadership and translate them into measurable team goals with proven ROI.
• Advance ML, MLOps, and Applied AI
• Guide development of physics-based models that improve AssetWatch's reliability intelligence, including anomaly detection, ranking, explainability, and alert quality.
• Ensure production ML systems are monitored, repeatable, and operationally reliable.
• Drive AI engineering work including agentic workflows, internal productivity tools, and customer-facing experiences.
• Partner Across the Business
• Work with Product and Engineering to turn AI opportunities into scoped bets with clear owners and delivery paths.
• Partner with GTM, Customer Success, and Operations to identify high-leverage AI opportunities and improve field workflows.
• Collaborate with HR, finance, supply chain, and customer support to implement AI-driven automation.
• Measure Impact and Communicate Up
• Define how AI impact is measured and connect AI investments to customer outcomes, efficiency, and revenue.
• Maintain a clear narrative for the CEO, board, and cross-functional leaders on priorities, progress, and tradeoffs.
• Evaluate vendors and tooling; recommend when to build, buy, or combine approaches.

Experience We Are Looking For

• 10 or more years leading AI, machine learning, data science, or adjacent data or software technical teams.
• Proven track record setting technological strategy in a fast-moving environment and delivering large-scale initiatives.
• Experience managing cross-functional teams and partnering with senior executive stakeholders.
• Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions.
• Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle.
• Familiarity with state-of-the-art approaches including large language models, agentic architecture, and machine learning.
• Strong judgment connecting technical work to customer value, revenue impact, cost control, and risk reduction.
• Excellent communicator, able to translate complex AI concepts for non-technical executives and inspire technical teams.
• Commitment to responsible AI practices including data privacy, bias mitigation, and regulatory compliance.

Education

• Bachelor's degree in computer science, data science, AI, engineering, or a related field required.
• Advanced degree (MSc, PhD, or MBA with technology focus) preferred.

Nice to Have

• Background in industrial technology, predictive maintenance, manufacturing, IoT, or condition monitoring.
• Experience with time-series data, signal processing, anomaly detection, or sensor-driven products.
• Experience with AWS, MLOps tooling, cloud data platforms, and enterprise SaaS integrations.

What We Offer

• Competitive compensation package including stock options.
• Flexible work schedule.
• Comprehensive benefits including retirement plan match.
• Opportunity to make a real impact every day.
• Work with a dynamic and growing team.
• Unlimited PTO.