Head of AI
AssetWatch serves global manufacturers by powering manufacturing uptime through the delivery of an unparalleled condition monitoring experience, with a passion to care about the assets our customers care for every day. We are a devoted and capable team that includes world-renowned engineers and distinguished business leaders united by a common goal – To build the future of predictive maintenance. As we enter the next phase of rapid growth, we are seeking people to help lead the journey.
We are looking for a senior AI leader to partner with our C‑suite in crafting and executing an enterprise‑wide AI strategy. Reporting to the CEO, this leader will anticipate how emerging AI technologies shape our business, develop a long‑term AI roadmap aligned with corporate objectives and execute it, and lead cross‑functional teams to deliver innovative, responsible AI solutions. Success in this role requires blending strategic vision, technical fluency, ethical leadership and change‑management skills.
- Develop and execute AI strategy: Work with the C‑suite to craft a company‑wide AI strategy that aligns with long‑term business goals. Identify where AI can create competitive advantage, drive efficiency and open new revenue streams.
- Identify and prioritize AI opportunities: Scan emerging technologies and collaborate with product, engineering and business teams to evaluate new AI opportunities; assess build‑vs‑buy decisions and prioritize initiatives based on ROI.
- AI governance, ethics and compliance: Establish governance frameworks for responsible AI use, including data privacy, bias mitigation and regulatory compliance. Set up ethics review processes to ensure safe deployment of AI models.
- Oversee AI product and platform development: Lead the design, deployment and quality control of AI models and systems so they meet business requirements. Partner with technology teams to ensure the infrastructure is scalable, secure and reliable.
- Technology scouting and vendor management: Evaluate AI tools, platforms and vendors; recommend technologies that fit the company’s technical stack and compliance requirements.
- Drive operational efficiency and automation: Collaborate with C-suite peers and stakeholders in functions such as HR, finance, supply chain and customer support to implement AI‑driven automation and streamline processes.
- Build and lead the AI team: Recruit, develop and retain a high‑performing team of data scientists, machine‑learning engineers, AI ethics and AI product managers.
- Enable internal teams and cultivate AI literacy: Provide training and guidance so employees across the organization understand AI tools, guardrails and best practices. Promote collaboration between technical and non‑technical teams to ensure AI augments rather than replaces roles.
- Drive customer‑facing innovation: Partner with product, design and marketing teams to develop AI‑ and Agentic AI-enabled features (such as recommendation engines, conversational agents, and agentic decision engines) that enhance customer experiences and create new data‑driven services.
- Measure and communicate impact: Define key performance indicators (KPIs) for AI initiatives and communicate progress and insights to executives, investors and the board.
- Lead change management: Orchestrate organizational change needed to adopt AI at scale in partnership with HR and business functions, and build an AI‑ready culture.
Qualifications:
- Education: Bachelor’s degree in computer science, data science, artificial intelligence, engineering or a related quantitative field. An advanced degree (MSc/PhD in AI, data science or MBA with technology focus) is preferred for deeper expertise in machine learning, statistics and business strategy.
- Technical fluency: Strong understanding of AI technologies and state of the art approaches (ranging from machine‑learning algorithms to natural‑language processing, retrieval‑augmented generation, and Agentic AI) couple with the ability to translate business problems into high-value AI capabilities.
- Leadership experience: 5-7 years of leadership experience in AI product management or product development. Demonstrated success managing cross‑functional teams, collaborating with senior executive stakeholders, and delivering large‑scale innovation initiatives.
- Cross‑functional exposure: Experience working across product, operations, finance or marketing functions to understand and influence how AI can create value across the business.
- Ethical and regulatory acumen: Familiarity with AI governance, data‑privacy regulations and bias mitigation; commitment to championing responsible AI practices.
- Communication and stakeholder management: Excellent communication skills with the ability to convey complex AI concepts to non‑technical executives, inspire technical teams and engage customers and investors.
Desired Attributes:
- Strategic visionary: Ability to anticipate AI trends, see the “big picture” and craft a long‑term roadmap that aligns AI investments with corporate strategy.
- Change agent and collaborator: Comfortable orchestrating organizational change, fostering collaboration across business units and building buy‑in for AI initiatives.
- Continuous learner: Commitment to staying abreast of emerging AI technologies (incl. Generative AI and Agentic AI), best practices for evolving ethical standards, and driving transformational change.
- Business‑savvy innovator: Keen understanding of how to transform AI capabilities into market‑ready products and services, balancing experimentation with measurable business impact.
#LI-Remote
What We Offer:
AssetWatch is a remote-first company that puts people at the center of everything we do. We want our team members to thrive - that’s why we offer a range of benefits and perks designed to support your well-being, growth, and work-life balance.
- 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
We have a distributed team that works remotely across locations in the United States and Ontario, Canada. Collaboration within core working hours is required.
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