R&D Manager

🔥 0 minutes ago

🌐 United States, Germany, +4 more countries – Remote

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⛰️ Colorado – Remote

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💵 $150k - $234.4k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

👔 Manager

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Agilent Technologies

Agilent Technologies

10,000+ employees

Founded 1999

🍽️ Food & Beverage

🏥 Healthcare

💼 Consulting

💰 $500M Post-IPO Debt on 2019-09

Food & Beverage • Healthcare • Consulting

Agilent Technologies is a global leader in the field of analytical and laboratory instruments. The company offers a diverse range of products and solutions, including gas and liquid chromatography, mass spectrometry, lab supplies, and software and informatics. Agilent serves various industries, such as biopharma, food and beverage testing, clinical diagnostics, and environmental testing. Additionally, Agilent provides comprehensive services for lab management, maintenance, and instrument repair. They focus heavily on advancing science through sustainable solutions and supporting genomics, pathology, and cancer research with advanced technologies.

📋 Description

• Manage operations, priorities, staffing, and delivery execution for an assigned software R&D team • Provide direct people leadership, coaching, performance management, and career development • Partner with product management, product ownership, architecture, quality, SRE, support, IT, marketing, and other stakeholders • Lead development and delivery of SaaS applications, analytics, monitoring, data pipelines, integrations, and enterprise software capabilities • Support new product development and sustaining engineering for deployed enterprise software products and services • Participate in production incident triage and follow-up • Establish operating practices that improve planning discipline, execution predictability, quality, communication, and coordination • Identify and mitigate delivery risks, technical issues, dependency gaps, and resource constraints • Conduct and collaborate on research, development, and technical evaluation activities • Support technical decisions involving cloud-native architectures, data-centric systems, APIs, enterprise integrations, observability, cybersecurity, and operational readiness • Drive agile planning, prioritization, backlog alignment, and coordination across globally distributed teams • Build a culture focused on accountability, collaboration, continuous improvement, engineering excellence, and customer impact

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Engineering, or a related technical field, or equivalent combination of education and directly relevant experience • Minimum of 2 years of experience formally or informally leading people, projects, programs, or technical delivery teams • Experience leading software development or technical delivery in SaaS, enterprise applications, analytics, monitoring, data platforms, laboratory informatics, or related digital product environments • Strong understanding of software development lifecycle practices, agile delivery, release planning, sustaining support, and cross-functional product development • Ability to manage priorities, resolve ambiguity, develop people, and maintain execution focus in a globally distributed team environment • Strong communication and stakeholder engagement skills with technical and non-technical audiences • Preferred: experience in life sciences, laboratory informatics, scientific instruments, services, or regulated enterprise environments • Preferred: experience with CrossLab Connect or similar lab operations, asset management, service management, monitoring, analytics, or customer-facing digital platforms • Preferred: experience supporting enterprise or B2B cloud platforms, including SaaS, data/analytics, monitoring, or integration systems • Preferred: familiarity with data-centric architectures, batch or streaming data pipelines, data models, and integration patterns • Preferred: familiarity with cloud-native architectures, microservices, APIs, web applications, containerization, CI/CD, and DevOps practices • Preferred: experience supporting new product development and sustaining activities for deployed enterprise software products • Preferred: familiarity with AI/ML concepts, predictive analytics, IoT/edge systems, telemetry ingestion, digital twins, or data-driven laboratory operations • Preferred: experience with agile development methodologies, distributed team collaboration, and cross-functional planning

🏖️ Benefits

• Eligibility for bonus • Stock • Benefits • Option to work remotely • Equal employment opportunity and inclusive workplace support • Disability assistance during the application or interview process

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