Senior HubSpot Administrator

Job Description

Senior Hub Spot Administrator I is a critical contributor responsible for architecting scalable CRM infrastructure and enabling revenue‑driving capabilities through robust system design and cross‑functional collaboration. This role orchestrates the end‑to‑end customer data lifecycle within Hub Spot, from developing and optimizing custom objects, workflows, and integration strategies to implementing governance standards and ensuring high data availability. Leveraging expertise in software engineering practices and scripting languages (e.g., HubL, JSON, Python), this role will build automated pipelines and performant data structures that empower Sales and Marketing stakeholders to access reliable data for strategic decision‑making.

• Designing, building, and maintaining a scalable Hub Spot architecture (custom objects, workflows, automations, and data models) capable of supporting rapid organizational growth
• Leading the integration of Hub Spot with other platforms in the Sales stack, ensuring seamless data flow across the entire customer journey and utilizing advanced scripting (e.g., APIs, JSON, HubL) where necessary
• Developing custom UI extensions (using tools like React, JSON, or HubL) to enhance the user interface and extend native CRM functionality beyond out‑of‑the‑box limitations
• Continuously auditing system performance, eliminating inefficiencies, and optimizing automation to drive sales and marketing alignment
• Monitoring API usage limits, query latency, and integration health, performing root cause analysis on sync errors to ensure high availability and system reliability
• Automating manual processes across sales and marketing to increase speed, consistency, and accuracy, moving beyond ad‑hoc fixes to reusable, version‑controlled system components
• Collaborating with Marketing and Sales leadership to translate business requirements into technical solutions that improve pipeline management and campaign effectiveness
• Maintaining clean, reliable data across all connected systems by implementing governance processes and automated data quality frameworks to protect system integrity
• Developing advanced reporting and dashboarding to deliver actionable insights that inform strategy and optimize decision‑making
• Monitoring and evaluating Hub Spot updates and new features, developing an adoption roadmap that positions the organization at the forefront of marketing automation innovation
• Managing operational support by triaging and resolving technical issues raised in internal channels, functioning as the primary escalation point for CRM infrastructure outages

• Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Business Administration, Information Systems, Marketing)
• 4–7 years of professional experience in CRM management, with demonstrated experience in system architecture and data modeling
• Advanced Hub Spot certifications (including Hub Spot Admin Bootcamp and Operations Hub Software) with a demonstrated ability to design scalable, automated systems
• Expert‑level understanding of Hub Spot automation, integrations, and reporting
• Experience with API integrations and scripting languages (e.g., AWS, Python, JavaScript/HubL) for data analysis and automation
• Proven ability to design and build robust data models that support business intelligence and analytics use cases
• Strong communicator and collaborator who thrives in a fast‑paced, cross‑functional environment

• Proven experience managing CRM systems during periods of rapid organizational growth.
• Exposure to cloud data platforms (AWS, Azure, GCP) or external databases (e.g., Snowflake, Postgre
  
  SQL).
• Creative problem solver who can balance strategy with hands‑on execution

Based on the Sacramento region, the new hire’s minimum and maximum target salary for this role is $105k – $120k. The ranges are market‑driven and set to allow for flexibility. Although it is not typical for an individual to start at the top end of the range for the position, compensation decisions are dependent on the facts and circumstances of each case, work location, job‑related skills, experience, relevant education or…