Engineering Operations Analyst

QuadSci is a New York-based AI startup that helps B2B SaaS companies predict customer churn, identify expansion opportunities, and optimize revenue operations. Its platform analyzes billions of product telemetry signals, CRM data, and customer interactions to generate predictive insights that enable GTM, Customer Success, Product, and Revenue teams to take proactive action.

• Run backlog operations: keep the sprint backlog groomed and prioritized with Engineering, and track sprint progress.
• Triage support requests that don’t sit with FDEs and route them to the right internal engineering owner.
• Maintain the inventory of third-party integrations and credentials, and coordinate requests and rotation with Engineering.
• Administer internal apps and business systems such as Salesforce.
• Own the onboarding/offboarding checklist across tools.
• Support the security program: keep SOC 2 tasks on track, run the quarterly access review, and track vulnerability and pentest findings to closure with Engineering.
• Keep security policies and customer security answers current.
• Turn support and customer feedback into clear product input, help write requirements, and maintain product documentation.
• Track and report engineering KPIs (sprint velocity, cycle time, support response times, release cadence) and flag trends to leadership.
• Document internal processes, runbooks and system configurations.
• Identify manual, repetitive workflows and automate them with scripts or no-code tools.
• Partner with Sales and Customer Success on internal requests that touch product, support or security.

• 3+ years in product operations, business operations or a similar analyst role at a B2B software company.
• Experience running backlogs and sprint processes.
• Comfortable with technical topics like APIs, integrations and access management.
• Understanding of security basics: least privilege, MFA and safe credential handling.
• Experience administering internal apps or business systems such as Salesforce.
• Comfortable with dashboards and data analysis.
• Highly organized, with strong written English and Spanish.
• Bachelor’s degree in Industrial Engineering, Information Systems, Computer Science or a related field.