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Head of Technical Support

ResolveAI San Francisco, CA

San Francisco, CA

Today

Full time Manager Ai Customer Support Application Security

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Job Description

ResolveAI is seeking a hands-on technical support leader to build a first-of-its-kind AI-first, 24x7 global support function.

Responsibilities

Design and launch the support operating model, including:
- 24x7 global coverage approach
- Severity levels
- Response and resolution targets
- Escalation paths
- On-call rotations
- Follow-the-sun handoffs
Translate the operating model into service commitments for customer contracts.
Build an AI-first support experience using Resolve and AI agents to:
- Triage, diagnose, and resolve cases
- Deflect common issues via self-service and documentation
- Design agent-to-human handoff that preserves customer context
- Increase the share of cases resolved without human intervention
Work the queue early on and own cases end-to-end:
- Triage and gather diagnostics
- Troubleshoot across integrations, cloud environments, and Kubernetes
- Keep the case record accurate
- Communicate clearly with customers through resolution
Ensure every case has a clear owner with documented impact, investigation, and resolution, including during high-severity incidents affecting customer production.
Run a tight loop with Engineering:
- Separate configuration and usage issues from true product defects
- Raise well-evidenced Linear tickets with clear customer impact
- Provide evidence so the assigned Deployment Engineer can oversee the fix and verify it in the customer workflow
Partner with the account team by:
- Engaging the technical account team when implementation context is needed
- Sharing case trends and customer-impact context
- Flagging accounts where support patterns indicate adoption or renewal risk
Define and report on key support metrics, including:
- Response and resolution times
- SLA attainment
- AI resolution rate
- Backlog health
- CSAT
- Case drivers
- Convert recurring themes into product, documentation, and onboarding improvements
Build the team:
- Develop staffing and coverage model
- Determine where humans add the most value
- Hire, onboard, and lead support engineers across regions as volume and global footprint grow

Requirements

8+ years in technical support, support engineering, or SRE/production engineering roles
3+ years leading a support function or team for a developer, infrastructure, observability, or B2B SaaS product
Experience building a support function from early stage, including:
- Defining SLAs and severity models
- Standing up tooling
- Designing 24x7 or follow-the-sun coverage for enterprise customers
Strong hands-on technical depth in production infrastructure:
- AWS (especially)
- Kubernetes
- Networking and authentication (SSO/SAML)
- Observability tools such as Datadog, Grafana, Prometheus, Splunk, and OpenTelemetry
Ability to dig into logs and reproduce a customer’s problem
Active power user of AI agents and coding tools (e.g., Claude Code, Codex, Cursor), including experience with prompting, context engineering, and critical evaluation of LLM output
Proven experience handling high-severity customer incidents calmly, with clear communication to engineers and executives and ongoing customer updates when the answer is not yet known
Experience collaborating with Engineering on defect triage and escalation, and with Sales and post-sales teams on account health
Data-driven approach: define support metrics, build reporting, and use data to guide staffing, product, and process decisions
Strong ownership mindset for early-stage ambiguity and playbook-building

Technologies

AWS
Kubernetes
SSO
SAML
Datadog
Grafana
Prometheus
Splunk
OpenTelemetry
Resolve
Claude Code
Codex
Cursor
Linear

Nice to Have

Experience supporting AI/ML or LLM-based products
Experience supporting global enterprise customers, including contractual support terms and compliance requirements (e.g., SOC 2)
Scripting experience in Python, TypeScript, or Go for support automation and tooling
Experience building self-service knowledge bases or developer documentation

Location: San Francisco, CA (onsite)

Minimum experience: 8 years

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