AssetWatch, Inc.

Head of AI

United States · Full-time

Sponsorship not specified$244k-$282kDetected 9 days ago

AWSMachine LearningData ScienceLLMsMLOpsOKRsSupply ChainCustomer SuccessCustomer SupportSignal ProcessingLeadershipCollaboration

About the role

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.
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.

Identify where AI can create competitive advantage, drive efficiency, and unlock new customer value, which open new revenue streams.
Lead the AI and Data Science Organization
Recruit, develop, and retain high-performing data scientists, ML engineers, and AI engineers.
Clarify incoming requests by outcome, owner, data dependency, business impact, and build-vs-buy path.
Drive AI engineering work including agentic workflows, internal productivity tools, and customer-facing experiences.
Partner Across the Business
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.
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.

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.
Working knowledge of production ML, MLOps, evaluation, governance, and AI systems lifecycle.
Bachelor's degree in computer science, data science, AI, engineering, or a related field required.
Collaboration within core working hours is required.

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.
Opportunity to make a real impact every day
Advanced degree (MSc, PhD, or MBA with technology focus) preferred.

The base salary range for this full-time position is posted below, plus equity and benefits.

Competitive compensation package including stock options
Flexible work schedule
Comprehensive benefits including retirement plan match
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.
Reporting to the CEO, the role demands a blend of strategic vision, technical fluency, ethical leadership, and change management skills.
Partner with executive leadership to define AssetWatch's AI-native vision, operating model, and continue to build our roadmap heading into 2027 and beyond.
Build, lead, and develop the team across Machine Learning Engineering, Machine Learning, and AI Engineering.

Hands-on fluency with modern AI and data science, enough to scope work, evaluate quality, and challenge assumptions.
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.
AssetWatch is a remote-first company that puts people at the center of everything we do.

This listing is sourced directly from AssetWatch, Inc.'s careers page and normalized into a canonical job model.