人工智能主管
Head of AI
AssetWatch通过提供无与伦比的设备状态监测体验，为全球制造商提供制造系统持续运行的支持，我们热情关注客户每天关心的资产。我们是一个专注且有能力的团队，包括世界知名的工程师和杰出的商业领袖，他们有着共同的目标——打造预测性维护的未来。在进入快速增长的新阶段时，我们正在寻找能够引领这一进程的人才。
AssetWatch有一个独特的机会，通过LLM、智能体、机器学习和数据科学来提升客户成果、内部生产力、产品差异化和运营杠杆。AI负责人负责公司范围内的AI工作流，将零散的AI实验转化为受控且可衡量的运营能力，并领导数据科学团队。
这是AssetWatch的核心战略领导职位，需要直接、实际的参与。领导者必须贴近现场，深入理解现代AI和数据科学，能够直接规划工作，并帮助公司在技术及供应商生态系统演变过程中进行适应。向CEO汇报，该职位需要战略远见、技术熟练度、伦理领导力和变革管理技能。
**你将负责**
**定义并执行AI战略**
- 与高管团队合作，定义AssetWatch的AI原生愿景、运营模式，并继续构建通往2027年及以后的路线图。
- 识别AI可以创造竞争优势、提高效率并释放新客户价值的领域，从而开辟新的收入来源。
- 随着AI能力、工具和供应商限制的变化，保持战略的时效性。
**领导AI和数据科学团队**
- 在机器学习工程、机器学习和AI工程方面建立、领导和发展团队。
- 招聘、培养并留住高绩效的数据科学家、ML工程师和AI工程师。
- 在团队扩展过程中建立基于ROI的目标、问责制、技术标准和领导覆盖。
**管理需求收集、优先级排序和治理**
- 明确需求的成果、负责人、数据依赖性、业务影响以及自建或购买路径。
- 建立AI工具、智能体、模型使用、数据访问和可接受使用规范的边界，同时不阻碍采用速度。
- 与高级管理层合作制定AI战略和OKR，并将其转化为可衡量的团队目标
查看英文原文
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.
AssetWatch has a unique opportunity to scale how LLMs, Agents, machine learning, and data science improve customer outcomes, internal productivity, product differentiation, and operational leverage. The Head of AI manages AI workstreams across the company, turns scattered AI experiments into governed and measurable operating capability, and leads the Data Science function.
This is AssetWatch's central strategic leadership role, requiring direct, hands-on involvement. The leader must stay close to the field, understand modern AI and data science deeply enough to scope work directly, and help the company adapt as the technology and vendor ecosystem evolves. Reporting to the CEO, the role demands a blend of strategic vision, technical fluency, ethical leadership, and change management skills.
**WHAT YOU WILL DO**
**Define and Execute AI Strategy**
- Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond.
- Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value, which open new revenue streams.
- Keep the strategy current as AI capabilities, tooling, and vendor constraints change.
**Lead the AI and Data Science Organization**
- Build, lead, and develop the team across Machine Learning Engineering, Machine Learning , and AI Engineering.
- Recruit, develop, and retain high-performing data scientists, ML engineers, and AI engineers.
- Establish clear ROI-based goals, accountability, technical standards, and leadership coverage as the team scales.
**Run Intake, Prioritization, and Governance**
- 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.
- 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.
**WHAT WE ARE LOOKING FOR**
**Experience**
- 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.
**Technical Depth**
- 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.
**Business and Leadership Skills**
- 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.
#LI-REMOTE
The base salary range for this full-time position is posted below, plus equity and benefits. Variable pay, bonuses, and other cash compensation will be discussed throughout the interview process.
The salary range was determined by role, level, and location. Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range applicable to your location during the hiring process.
AssetWatch Salary Range (US)
$244,000—$282,000 USD
**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.