Product Engineer, AI

Roper Technologies, Inc.

. Define and build AI products across Roper Technologies' portfolio of market-leading vertical software businesses .

Posted 9/15/2026full-timeRemote • Florida • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI and machine learning, with a strong ability to prototype and ship AI products that deliver customer value. Possesses a deep understanding of software architecture, product development, and the ability to operate independently in complex environments.

Highest-signal resume keywords

AI And Machine Learning ExpertiseProduct Development ExperiencePrototyping SkillsSoftware Architecture UnderstandingVertical SaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Product DevelopmentMachine LearningPrototypingSoftware ArchitectureFull-Stack DevelopmentEvaluation MethodologyAgent FrameworksOrchestration PatternsCustomer Impact MetricsProduct Roadmap Development

Soft Skills

Strong Ownership MindsetResilienceHigh Internal DriveCustomer EngagementAbility To Learn Rapidly

Certifications & Qualifications

Bachelor's Degree In Technical Field

Industry Keywords

Vertical SaaSEnterprise SoftwareRegulated IndustriesOperational ComplexityCustomer Value

About the role

Key responsibilities & impact

Define and build AI products across Roper Technologies' portfolio of market-leading vertical software businesses
Partner with portfolio company leadership to shape AI product concepts, roadmaps, and product theses
Learn new business domains and identify where AI meaningfully adds customer value
Develop a defensible point of view on what to build, what not to build, and why now
Pressure-test opportunities against feasibility, differentiation, and willingness to pay
Engage directly with customers to ground product decisions in real workflows
Build working prototypes and run experiments to establish feasibility
Design evaluations that distinguish compelling demos from shippable products
Move from concept to functioning system using AI-assisted development
Develop shared technology and products that create leverage across multiple Roper businesses
Judge when capabilities should be built centrally versus locally
Drive adoption of shared platforms and patterns across portfolio company engineering teams
Codify successful approaches into reusable frameworks, reference architectures, and playbooks
Ship AI products that customers adopt, can be priced, and that contribute to organic growth
Define and track adoption, retention, expansion, and customer-impact metrics
Feed production usage back into the product roadmap

Requirements

What you’ll need

Bachelor's degree or higher in a technical field: computer science, engineering, mathematics, or physics
Deep technical grounding in AI and machine learning, including modern LLM-based and agentic systems
Prior experience shipping AI products at scale in production
Strong product sense and taste, with real opinions about what makes software good to use
Strong understanding of software architecture and design patterns
Demonstrated ability to prototype a working solution quickly and independently
Ability to learn an unfamiliar business domain rapidly and form a clear view on what to build
Willingness to work directly with customers and portfolio company teams
Strong ownership mindset, resilience to failed experiments, and high internal drive
Ability to operate independently in an ambiguous environment
Vertical SaaS or enterprise software experience in regulated or operationally complex industries
Fluency with agent frameworks, orchestration patterns, retrieval systems, and evaluation methodology
Full-stack capability, from model behavior through to the customer-facing interface
Experience working across multiple business units or as part of a central strike team

Benefits

Comp & perks

Full-time employment
Remote work arrangement
Opportunity to work across insurance, healthcare, energy, education, and other verticals
Central AI team with little overhead and ability to make quick decisions
Opportunity to drive material impact and contribute to organic growth