
Technical Support Manager
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United Kingdom.
β’ Take ownership of and define the technical support function related to media generation APIs, Serverless technology, LLMs, and dedicated GPU resources.
β’ Develop and implement support models, customer tiers, service level agreements (SLAs), coverage strategies, and escalation procedures.
β’ Build and expand the support team through hiring, recruitment, onboarding, and team development initiatives.
β’ Position Support as the primary point of contact for technical inquiries from both customers and prospects.
β’ Facilitate transitions and collaborations with Sales and Customer Success teams.
β’ Minimize reliance on Engineering by addressing knowledge, access, and tooling deficiencies.
β’ Enhance the percentage of issues resolved directly by Support.
β’ Automate processes for routing, triage, AI-assisted initial responses, self-service options, and workflows using Pylon and other tools.
β’ Monitor ticket volumes, response and resolution times, escalations, recurring issues, and customer risks.
β’ Conduct thorough investigations and incident responses while offering technical guidance.
β’ Engage with customers regarding complex issues as necessary.
β’ Develop and uphold the knowledge base, playbooks, and runbooks.
β’ Report directly to the Head of Customer Business Operations.
β’ Several years of experience leading teams in technical support or support engineering at an API-first, developer tools, cloud, or infrastructure organization.
β’ Experience in constructing or scaling a support function.
β’ Strong technical knowledge in APIs, logs, metrics, and distributed systems.
β’ Proficiency in reading code and independently investigating intricate technical issues.
β’ Demonstrated experience in automating support operations and minimizing escalations to Engineering.
β’ Expertise in defining support tiers, SLAs, coverage models, and support KPIs.
β’ Ability to thrive in ambiguous situations and to build solutions from the ground up.
β’ Proactive and hands-on attitude toward problem-solving.
β’ Experience in supporting AI/ML inference, GPU infrastructure, or serverless computing products.
β’ Practical experience with AI-assisted support tools and automation.
β’ Familiarity with support platforms such as Pylon, Zendesk, Intercom, Jira, Linear, or GitHub Issues.
β’ Exposure to monitoring and debugging tools, including Datadog, Grafana, logs, metrics, tracing, and dashboards.
β’ Knowledge of Postman, REST APIs, JSON, and HTTP status codes.
β’ Experience with documentation tools such as Notion, Confluence, or GitHub Docs.
β’ Preferred location within the Europe time zone, with adequate overlap with US and Asia hours for effective support coordination.
β’ Remote-first work arrangement.
β’ In-person company retreats held twice a year.
β’ Core hours designated for collaborative work and meetings.
β’ Flexible scheduling outside of core collaboration periods.
β’ Generous paid time off, including vacation, sick leave, and public holidays.
β’ Meaningful stock options.
β’ Paid maternity, paternity, and caregiver leave.
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