R&D Manager

Agilent Technologies; United States; On-site; USD 83,000 - 146,000; Full time

Benefits offered by this job

Bonus eligibility

Stock options

Comprehensive benefits

Job summary

Agilent Technologies is seeking a senior software engineering leader to manage a software R&D team responsible for SaaS applications, data pipelines, and enterprise systems. You will guide delivery, staffing, and strategy across globally distributed teams while partnering with product, architecture, quality, and operations.

Qualified candidates have multiple years of leadership in software delivery, strong SDLC and agile expertise, and a track record of driving execution in complex environments.

Qualifications

• Minimum 2 years of experience leading people, projects, or delivery teams.
• Experience leading software development or technical delivery in SaaS/enterprise environments.
• Strong understanding of SDLC, agile delivery, release planning, and cross-functional product development.
• Proven ability to manage priorities, resolve ambiguity, and drive execution in a distributed team.

Responsibilities

• Lead software R&D team operations, priorities, staffing, and delivery.
• Provide people leadership, coaching, and career development for engineers and contractors.
• Partner with product management, architecture, quality, SRE, and other stakeholders to align plans with business objectives.
• Lead development and delivery for SaaS-based applications, analytics, monitoring, data pipelines, integrations, and enterprise software.
• Support both new product development and sustaining engineering for deployed products and services.
• Establish team operating practices to improve planning, execution, quality, and cross-functional coordination.
• Identify delivery risks and mitigation actions to prevent delays.
• Conduct R&D and technical evaluation activities for long-term objectives.
• Support decision-making across cloud-native architectures, data-centric systems, APIs, observability, and cyber/operational readiness.
• Drive agile planning, backlog alignment, and coordination across globally distributed teams.
• Build a strong team culture focused on accountability, collaboration, and customer impact.

Skills

People leadership

Agile delivery

Stakeholder engagement

Communication

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Engineering, or related technical field

Tools

CrossLab Connect

Job description

Key Responsibilities

• Manage the overall operations, priorities, staffing, and delivery execution for an assigned software R&D team.
• Provide direct people leadership, coaching, performance management, and career development for software engineers, related technical contributors and contractors.
• Partner with product management, product ownership, architecture, quality, SRE, support, IT, marketing, and other stakeholders to align plans with business objectives and product strategy including presentations to stakeholders and sponsors.
• Lead development and delivery activities for SaaS-based applications, analytics, monitoring, data pipelines, integrations, and enterprise software capabilities.
• Support both new product development and sustaining engineering for deployed enterprise software products and services including participation in production incident triage and follow-up.
• Establish team operating practices that improve planning discipline, execution predictability, quality, communication, and cross-functional coordination.
• Identify delivery risks, technical issues, dependency gaps, or resource constraints that may delay products, releases, or projects, and drive appropriate mitigation, escalation, or corrective action.
• Conduct and collaborate on research, development, and technical evaluation activities relevant to long-term product and technology objectives.
• Support technical decision-making across areas such as cloud-native architectures, data-centric systems, APIs, enterprise integrations, observability, cybersecurity, and operational readiness.
• Drive effective agile planning, prioritization, backlog alignment, and coordination across globally distributed teams.
• Build a strong team culture focused on accountability, collaboration, continuous improvement, engineering excellence, and customer impact.

Qualifications

• 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.
• A 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.
• Demonstrated 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 both technical and non-technical audiences.

Preferred Experience

• Experience in life sciences, laboratory informatics, scientific instruments, services, or other regulated enterprise environments.
• Experience with CrossLab Connect or similar lab operations, asset management, service management, monitoring, analytics, or customer-facing digital platforms.
• Experience supporting enterprise or B2B cloud platforms, including SaaS, data/analytics, monitoring, or integration systems.
• Familiarity with data-centric architectures, including batch or streaming data pipelines, data models, integration patterns.
• Familiarity with cloud-native architectures, microservices, APIs, web applications, containerization, CI/CD, and DevOps practices.
• Experience supporting both new product development and sustaining activities for deployed enterprise software products.
• Familiarity with AI/ML concepts, predictive analytics, IoT/edge systems, telemetry ingestion, digital twins, or data-driven laboratory operations.
• Experience with agile development methodologies, distributed team collaboration, and cross-functional planning across product, engineering, architecture, quality, and operations.

Additional Details

La fourchette salariale au Canada de ce poste est de 118,073.00$ à 208,294.00$ CA par an, et le titulaire est admissible à des primes, à des actions et à des avantages sociaux. Nos fourchettes s