
10.000+ funcionários
☁️ SaaS
🤝 B2B
🏭 Manufatura
💰 $2.000.000.000 Post-IPO Debt - Roper Technologies em 2025-08
SaaS • B2B • Manufacturing
A Roper Technologies, Inc. é uma empresa de tecnologia diversificada que adquire, desenvolve e opera negócios de software e produtos habilitados por tecnologia de nicho e essenciais. Suas divulgações públicas listam segmentos operacionais como Software de Aplicação, Software de Rede e Produtos Habilitados por Tecnologia, indicando um portfólio de software especializado (incluindo negócios de aplicativos semelhantes a SaaS) e hardware projetado vendidos principalmente para outras empresas e indústrias.
🕒 Setembro 15
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

10.000+ funcionários
☁️ SaaS
🤝 B2B
🏭 Manufatura
💰 $2.000.000.000 Post-IPO Debt - Roper Technologies em 2025-08
SaaS • B2B • Manufacturing
A Roper Technologies, Inc. é uma empresa de tecnologia diversificada que adquire, desenvolve e opera negócios de software e produtos habilitados por tecnologia de nicho e essenciais. Suas divulgações públicas listam segmentos operacionais como Software de Aplicação, Software de Rede e Produtos Habilitados por Tecnologia, indicando um portfólio de software especializado (incluindo negócios de aplicativos semelhantes a SaaS) e hardware projetado vendidos principalmente para outras empresas e indústrias.
• 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
• 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
• 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
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