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R&D Operations Specialist

Posted 12 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States

💸 Salary: 157300.0 - 255200.0 USD per year

🏢 Company: Calendly👥 501-1000💰 $350,000,000 Series B about 4 years ago🫂 Last layoff over 1 year agoProductivity ToolsEnterprise SoftwareCollaborationMeeting SoftwareSchedulingSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: Project ManagementData AnalysisProduct DevelopmentBusiness OperationsResource PlanningAnalytical SkillsProblem SolvingAgile methodologiesCross-functional collaborationStrategic thinkingProcess improvement

Requirements:
  • 5+ years in operating roles, preferably engineering operations roles
  • Strong understanding of business operations, strategy, and R&D processes
  • Experience with R&D planning and portfolio management tools
  • Familiarity with software development lifecycle (SDLC) concepts and Agile methodologies is a plus
  • Ability to identify bottlenecks and streamline processes in the Product Development Lifecycle (PDLC)
  • Experience implementing operational improvements and efficiency strategies
  • Strong problem-solving mindset to address challenges in enterprise planning and execution
Responsibilities:
  • Supporting the execution of R&D initiatives to align with business priorities, ensuring successful delivery of key objectives
  • Coordinating and facilitating operating rhythms for the R&D organization by working closely with cross-functional teams and executive stakeholders
  • Assisting in resource planning efforts by collaborating with R&D leaders and HR partners to support hiring strategies, location planning, and skills assessments that align with business outcomes
  • Maintaining and enhancing the Product Development Lifecycle, identifying and addressing bottlenecks, improving communication, and optimizing workflows to improve efficiency
  • Contributing to the enterprise planning process, supporting alignment and coordination across various functions within and outside of R&D
  • Utilizing data-driven frameworks to support decision-making for internal operations and product-related strategies in collaboration with analytics teams
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