Support Software Developer focusing on tools and AI-automation to enhance customer support efficiency. Collaborating across teams to implement innovative solutions and drive operational improvements.
Responsibilities
Implement Tools & Technologies: Support the rollout and configuration of new customer support tools, technologies, and initiatives to improve efficiency and service quality.
Drive Automation & Innovation: Identify and implement opportunities for automation, self-service, and AI-powered solutions to reduce manual effort and enhance the customer experience.
Partner with Support Teams: Work closely with L1 and L2 support teams to gather feedback, understand operational pain points, and propose process and tooling improvements.
Data Collection & Analysis: Analyze customer support data across channels (Slack, email, chat, etc.) including ticket volumes, response times, resolution rates, and customer feedback to derive insights.
Root Cause Analysis: Investigate recurring issues to uncover root causes and recommend long-term process or tooling improvements to reduce customer friction.
Reporting & Visualization: Create reports, dashboards, and visualizations to monitor support trends, bottlenecks, performance metrics, and team productivity.
Standardize Processes: Develop and maintain SOPs and best practices to enable consistent, scalable support operations across regions and use cases.
Cross-functional Collaboration: Liaise with Product, Customer Success, Sales, and Engineering teams to ensure support operations are aligned with broader business goals.
Monitor KPIs: Track and report on key performance indicators related to customer satisfaction, support quality, and operational efficiency.
Enable Support Teams: Train and support the support teams on tools, data analysis, new processes, and system best practices.
Own Support Architecture: Manage and maintain documentation of the support tool stack, data flows, integrations, and architecture.
Requirements
3–5 years of experience in Support Operations, Technical Support, Business Operations, or a similar role in a B2B SaaS environment.
Strong skills in JavaScript/Node.js, Python, or TypeScript,
Experience with REST APIs, webhooks, and third-party integrations (CRM, ticketing, bots, etc.).
Hands-on experience with workflow automation tools such as Make, Zapier, n8n, or similar.
Familiarity with customer support tools (Zendesk, Freshdesk, Intercom, DevRev, etc.).
Knowledge of cloud platforms (AWS or GCP) and containerization/orchestration (Docker, Kubernetes)
Hands-on experience with APIs, webhooks, scripting, and working knowledge of MongoDB or similar databases.
Proficiency with data analysis tools such as Excel, SQL, Looker, BigQuery, or equivalent.
Demonstrated experience with AI/ML technologies and integrating AI into development workflows.
Excellent communication and interpersonal skills for effective cross-functional collaboration.
Deep understanding of SaaS support metrics, KPIs, and industry best practices.
Strong analytical and problem-solving skills with the ability to translate data into meaningful insights.
Strong project management skills and the ability to drive process improvements and cross-team initiatives.
Proactive, organized, and self-driven—able to manage multiple priorities in a fast-paced, high-growth environment.
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