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5 mo agofound 7 d ago
Customer Support Engineer, Senior Manager
What the posting is about
Lead and manage a technical support team for enterprise customers using voice AI. Ensure high Net Revenue Retention by resolving technical issues and improving product roadmap. Requires 5+ years of experience in technical support and managing teams, with a focus on enterprise accounts and AI-native understanding.
Read out of the posting
Levelsenior
Experience asked5+ years
EmploymentFull time
LocationSan Francisco
RemoteYes
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-04-24
Found viaashby, direct from their system
We saw it 5 months after it went up.
The posting, as the company wrote it
Vapi (/ˈVɑːpi/):
- Voice AI that resolves, not transfers
- Powering 1 billion calls for companies like Amazon Ring, Intuit, ServiceTitan, and New York Life
- Trusted by 1 million developers building the future of voice agents
- Backed by Peak XV, Bessemer, Kleiner Perkins, M12, Y Combinator, and more with $72M raised
- Try talking to Vapi now! https://vapi.ai/
Why We’re Hiring This Role:
- Reporting to the Head of Customer Engagement, we need a technical leader to build and manage a world-class Support Engineering team that spans from SMB ISVs to large Enterprises.
- This isn’t a traditional "customer service" management role - it is engineering-led leadership. You will manage the team that unblocks our highest-value enterprise customers pushing the limits of LLMs, STT, and TTS in mission-critical environments.
- Your team's efficiency in resolving technical friction for enterprise customers will act as a primary engine protecting Net Revenue Retention.
- You will serve as the strategic bridge between our enterprise base and L2 support team to ensure feedback loops that directly shape our product roadmap with core engineering.
- You will enforce critical operational boundaries ensuring enterprise support interactions are triaged efficiently while identifying patterns and opportunities for product, documentation and customer-facing tools that solve common pain points.
What You’ll Do:
30 Day:
- Master the Stack: Deep-dive into the Vapi stack, mastering nuances of sub-500ms latency, tool-calling, and the Vapi CLI.
- Audit Enterprise Operations: Audit the current ticket triage process specifically for enterprise accounts utilizing complex SIP integrations, WebRTC, and custom LLM configurations.
- Build trust with the team: Connect with our L1 enterprise support and L2 Support team to find gaps, optimizations, and improve escalation paths.
60 Day:
- Enterprise SLA Excellence: Formalize and strictly enforce Severity SLAs for paying enterprise customers.
- Tier Enforcement: Work with Agent Strategists and FDE to ensure L1 CSEs are not becoming "ad-hoc FDEs" and correctly identify when support requests should be flagged as more complex engagements.
- Automation: Collaborate with Product to refine automated testing and Eval suites, turning frequent enterprise friction points into platform features.
90 Day:
- Team Growth: Own the technical health of the enterprise base and scale the L1 team to handle the increasing volume of complex enterprise deployments.
- Knowledge Leadership: Oversee the publication of "God-tier" technical guides and debugging snippets tailored to complex enterprise integrations.
- Strategic Feedback: Act as the primary bridge between enterprise stakeholders and core engineering, surfacing technical requirements to continuously improve the platform.
Who You Are:
- Technically Lethal Leader: 5+ years in technical support or solutions roles, with at least 2 years of experience managing technical teams. You are fluent in REST APIs, webhooks, and event-driven systems.
- Enterprise Experienced: You have a proven track record of managing support operations for enterprise accounts and adhering to commercial SLAs.
- On-Call & Incident Ownership: Experience owning incident response process for a technical support org, including escalation paths into core engineering and postmortem/RCA discipline for enterprise SLAs.
- AI-Native: You understand prompt engineering, structured outputs, and how to optimize them for voice latency. Further, you have built out custom agents/skills to make Support Engineers more effective and are familiar with new Support technologies like Plain, Pylon, etc.
- Code-Capable: You can still jump into Python or JavaScript to help your team debug a customer’s middleware or build a production agent.
- Voice Fluent: Experience with SIP, WebRTC, or Twilio is preferred - you understand the "plumbing" of a phone call.
- Relentlessly Autonomous: You don't wait for a playbook; you write the one that will scale Vapi to its next 1,000 enterprise customers.
Also open at Vapi
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