Vapi Logo

Vapi

Customer Support Engineer, Senior Manager

Reposted 27 Days Ago
Be an Early Applicant
Hybrid
San Francisco, CA
Senior level
Hybrid
San Francisco, CA
Senior level
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.
The summary above was generated by AI

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!

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.

Similar Jobs

52 Minutes Ago
Hybrid
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads multiple technology projects and engineering teams while designing and implementing large-scale, distributed, cloud-native systems. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, drives reliability and performance, and partners with product leaders. Uses modern programming languages, cloud platforms, microservices, databases, containers, CI/CD, observability, and AI-based development tools to deliver secure solutions supporting regulatory and customer needs.
Top Skills: Ai Coding ToolsAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservabilityOpen Source FrameworksPythonRdbmsRustScalaTypescript
3 Hours Ago
In-Office
110K-234K Annually
Senior level
110K-234K Annually
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Design, develop, deploy, and scale enterprise AI products, agents, automations, and intelligent workflows for the People Organization. Build multi-agent systems integrating Workday, ServiceNow, Microsoft Copilot, and other enterprise platforms through APIs and event-driven architectures. Apply HR domain expertise to employee lifecycle processes, ensure secure and responsible AI governance, and implement monitoring, testing, observability, and evaluation frameworks. Partner with business and technology leaders to prototype AI solutions and drive adoption and measurable workforce transformation.
Top Skills: Agent OrchestrationAi AgentsAi Reasoning SystemsAPIsAzureCi/CdDevOpsDockerEvent-Driven ArchitecturesKnowledge RetrievalLarge Language Models (Llms)Microsoft 365Microsoft CopilotMulti-Agent ArchitecturesPythonRetrieval-Augmented Generation (Rag)Semantic SearchServicenowTool CallingVector DatabasesWorkdayWorkflow Automation
7 Hours Ago
Remote or Hybrid
CA, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Design, build, scale, and operate high-volume payment APIs and distributed systems serving global traffic. Lead complex engineering projects from requirements through production, improve reliability, performance, observability, fault tolerance, and security, and participate in on-call and incident response. Collaborate across product and engineering teams, use AI-assisted development tools responsibly, and mentor engineers through technical reviews and documentation.
Top Skills: AWSGoKafkaKotlinTypescript

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account