Top Support Engineer Jobs in San Francisco, CA

The Product Support Engineer will engage with customers, create knowledge base content, provide feedback on the product, and support process development.

The Automations & AI Specialist will enhance customer support using AI tools, optimize workflows, and analyze data to improve efficiency in product support.

Provide Tier 2 application and software support for deployed physical-AI systems: diagnose issues using logs, telemetry, and DBs; implement hot-fixes and runbooks; embed at customer sites for NPI and long-term support; collaborate with TAC, Product Support, and Engineering to improve reliability and tooling.

Provide production support and monitoring for a regulated trading exchange, execute daily operational processes, triage and resolve incidents, tune performance, support releases, maintain runbooks and documentation, automate operational workflows, and collaborate with development, QA, infrastructure, and partners to ensure stable, SLA-driven exchange operations.

Lead and manage a technical support engineering team for enterprise customers, ensuring efficient operations and strong collaboration with engineering teams to enhance product development and customer satisfaction.

Own end-to-end support and customer success: handle inbound tickets, set SLAs, resolve technical issues, build AI support agents, knowledge base, onboarding automations, health scoring, tooling, reporting, and CS playbooks to drive retention and expansion.

Provide technical support and troubleshooting for complex customer issues, use scripting and OpenAI tools to automate processes, partner with engineering and product teams to resolve bugs, improve support systems, and scale operations while participating in on-call and weekend coverage.

Serve as the primary technical responder for inbound customer issues: triage, reproduce, resolve or escalate, build automated support infrastructure, maintain documentation and runbooks, and synthesize product feedback to drive improvements.

Operate, monitor, troubleshoot, and optimize global network infrastructure across datacenters and telco partners. Diagnose complex network incidents, drive root-cause analysis, implement long-term fixes, document configurations and procedures, coordinate cross-team remediation, and support network architecture, routing, and peering for LAN/WAN/wireless environments.

Provide front-line global IT support for 2500+ endpoints (primarily Mac), troubleshoot hardware/software/network issues, manage SaaS and hardware asset lifecycles, onboard/offboard users, administer AV systems and video-conference rooms, create knowledge content, train new hires, handle escalations and liaise with systems and network teams.

Provide front-line and advanced application support for a cloud-hosted loan management platform: triage and resolve incidents, troubleshoot .NET/C# applications and SQL Server data issues, investigate browser and Azure environment problems, use Azure DevOps for tracking, escalate complex defects, validate fixes, assist releases, and maintain support documentation and runbooks while collaborating with product and engineering teams.

Own customer support tickets end-to-end for a card-issuing platform: triage, debug production APIs and authorizer behavior, query Snowflake, check Grafana/Loki, use internal tooling (Retool, Metabase), surface recurring issues to Product/Engineering, maintain SLAs and knowledgebase (Notion), and build/update internal tools.

Own and scale day-to-day IT operations across office and lab sites: troubleshoot hardware, OS, software, and network issues; provision laptops/accounts and enroll devices in MDM; enforce MFA and security best practices; maintain Wi‑Fi and network stability; rack and cable equipment; write runbooks and KB articles; automate routine tasks with scripting; coordinate with vendors and consultants to support security compliance.

Manage model launches and provider onboarding in an AI marketplace, focusing on integration, QA, and internal tooling improvements.

Lead Developer responsible for the health and reliability of SaaS platforms, managing incident triage, problem management, and team leadership while implementing AI tools.

The Senior Application Support Engineer will resolve application issues, manage support tickets, and communicate with customers effectively. Key tasks include collaborating with the team, suggesting improvements, and providing 24/7 support.

As a Software Support Engineer, you will troubleshoot and resolve complex issues related to Ubuntu and open source technologies, collaborate with teams, and contribute to community development.

Provide remote technical support for OneStream and other financial management applications, triage and resolve product/configuration issues, submit bugs, update knowledge base, collaborate across teams, and maintain strong customer relationships during Pacific Time business hours.

Provide technical, customer-facing support for Allium's data platform: troubleshoot SQL queries, data pipelines, APIs and integrations; diagnose warehouse and delivery issues; collaborate with engineering to fix bugs; write documentation and automate troubleshooting; triage incidents per SLAs and build AI-native support tools.

Provide technical support to public sector and enterprise customers, troubleshoot complex issues, translate security/compliance needs (FedRAMP), automate tooling via scripting and AI, collaborate with engineering and product teams to resolve issues, improve processes, and provide on-call coverage.

As an AI Support Engineer, you'll handle customer issues, escalate unresolved problems, document failure modalities, and provide product testing feedback.

The Product Support Engineer addresses complex technical issues, collaborates cross-functionally, and enhances product stability through diagnostics and improvements. Responsibilities include triaging issues, validating fixes, and supporting product teams.

Provide technical support and advocacy for CodeSignal users: triage and resolve support tickets, troubleshoot product issues, gather diagnostic data, communicate with users and internal teams, prioritize multiple requests, and escalate severe issues. Work cross-functionally to improve user experience and maintain support quality in a fast-paced, remote startup environment.

Provide advanced L2 technical support for Runpod customers: troubleshoot escalated issues, analyze logs and code, use scripting and diagnostics, liaise with engineering and infra teams, create documentation and training, and deliver multi-channel support including weekend availability.

Provide operational and technical support to DEWALT Field Engineers and ANF specialists, create product submittals, analyze jobsite and pipeline data to generate sales leads, maintain CRM records, and collaborate with sales and field teams to drive opportunity pipeline and product specification adoption.