Product Manager, AI at AssetWatch

United States

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Manufacturing, Predictive Maintenance, Industrial IoTIndustries

Requirements

3–5 years of product management experience, ideally in B2B SaaS with exposure to machine learning, analytics, or data-driven workflows
A technical or quantitative foundation such as a degree in Data Science, Computer Science, or Engineering, or equivalent hands-on experience working with AI/ML products and teams
Proven ability to work across teams and communicate effectively, partnering with designers, engineers, data scientists, and stakeholders to translate technical depth into clear customer value, build alignment, and drive iteration from concept to production
Strong understanding of responsible AI principles and their practical application in enterprise settings where trust, accuracy, and decision support matter most
Experience leading discovery, prototyping, and rapid iteration, using data and experimentation to guide decisions, measure impact, and scale what works
Fluency with analytics and experimentation tools (e.g., Pendo, QuickSight, Amplitude, Mixpanel) and the ability to use data to guide prioritization and measure impact

Responsibilities

Partner across product lines to define and deliver AI capabilities that improve reliability, efficiency, and user value across AssetWatch’s web, mobile, and core platform experiences
Translate AI research into product reality by collaborating with Data Science and Engineering to evaluate models, shape features, and ship trustworthy, high-impact experiences
Design proactive, intuitive, and scalable experiences by working with Design, Data Science, and Engineering to prototype and validate AI-powered insights, recommendations, and automation
Drive product-led growth through intelligence by designing AI-enhanced onboarding, nudges, and adaptive experiences that help users find value faster, deepen engagement, and expand usage over time
Build trust and champion responsible AI by ensuring outputs are interpretable, ethical, and communicated transparently so customers and stakeholders confidently adopt intelligent workflows
Enable go-to-market success and cross-functional alignment by partnering with Product, Marketing, Sales, Customer Success, and Support to identify where AI can enhance workflows, insights, and customer outcomes
Measure what matters by defining KPIs that link model performance to user behavior, decision quality, and business ROI, ensuring launches deliver clear value and adoption
Shape long-term differentiation by partnering with AI leadership and cross-functional teams to evolve AssetWatch’s AI strategy, operational efficiency, and the tools that make our teams and customers smarter

Skills

Key technologies and capabilities for this role

Product ManagementAIMachine LearningData SciencePredictive MaintenancePrototypingUser ExperienceOnboardingResponsible AICross-functional Collaboration

Questions & Answers

Common questions about this position

What experience is required for the AI Product Manager role?

Candidates need 3–5 years of product management experience, ideally in B2B SaaS with exposure to machine learning, analytics, or data-driven workflows, plus a technical or quantitative foundation such as a degree in Data Science, Computer Science, or Engineering, or equivalent hands-on experience.

What is the salary range for this position?

This information is not specified in the job description.

Is this role remote or does it require office work?

This information is not specified in the job description.

What does the team environment look like at AssetWatch?

You'll partner with designers, engineers, data scientists, internal teams, Product, Marketing, Sales, Customer Success, Support, and AI leadership in a devoted and capable team united by a common goal to build the future of predictive maintenance.

What makes a strong candidate for this AI Product Manager position?

A strong candidate has 3–5 years of B2B SaaS product management experience with machine learning or data-driven workflows, a technical background like a degree in Data Science, Computer Science, or Engineering, and the ability to collaborate across teams to deliver AI features.

AssetWatch

Proactive maintenance solutions for industrial facilities

About AssetWatch

AssetWatch offers proactive maintenance solutions for industrial facilities by providing a centralized platform for real-time monitoring of critical assets. This helps clients, primarily in manufacturing, energy, and utilities, prevent costly downtime and repairs by identifying potential issues early. The subscription-based model includes a 30-day risk-free trial and typically delivers an 8x return on investment. Each client is supported by a dedicated Condition Monitoring Engineer to ensure effective monitoring and operational efficiency.

Westerville, OhioHeadquarters

2014Year Founded

$73.6MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Industrial & Manufacturing, EnergyIndustries

201-500Employees

Risks

Increased competition from emerging startups could erode AssetWatch's market share.

Economic downturns may reduce industrial budgets for new maintenance technologies.

Potential data privacy concerns could lead to regulatory scrutiny of AssetWatch's solutions.

Differentiation

AssetWatch offers a unique combination of predictive analytics and expert prescriptive insights.

The company provides a centralized platform for real-time monitoring of critical assets.

AssetWatch assigns dedicated Condition Monitoring Engineers for personalized client support.

Upsides

AssetWatch recently raised $38M in Series B funding to accelerate innovation.

Growing demand for remote monitoring solutions boosts AssetWatch's market potential.

Advancements in wireless sensor technology enhance AssetWatch's data accuracy and reliability.

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