Vapi
Member of Technical Staff, Backend
San Francisco · Staff+
Sponsorship not specifiedDetected 148 days ago
TypeScriptNode.jsPostgreSQLAWSKubernetesTemporalKafkaLLMsIncident ResponseWriting
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odds of building a lasting career here
34Risky
Cap-exempt (no lottery)0
Sponsors this role68
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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Files H-1B transfers
10 transfer filings in the last year, covering 10 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- The work is genuinely hard and unusually fun.
- Take a customer problem from product spec to shipped system-designing the API, services, and data model; defining evaluation and rollout criteria; and instrumenting the result.
- Use AI coding agents thoughtfully as a throughput and quality lever. - 90 Days: Operate as an independent owner for a customer-facing backend area.
Responsibilities
- 30 Days: Make real calls and build real assistants across LLM, speech-to-text, text-to-speech, and telephony integrations.
- Develop a working mental model of how Vapi's product surfaces map to APIs, services, data systems, and production workflows, then ship your first scoped backend product improvement.
- 60 Days: Own a meaningful backend area in agent self-improvement, trust, or guardrails. Take a customer problem from product spec to shipped system-designing the API, services, and data model
- Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns-and reasoning clearly about failure modes.
- Self-direction, customer empathy, and clear communication. You stay hands-on, collaborate directly across functions, and remain accountable for outcomes.
- 60 Days: Own a meaningful backend area in agent self-improvement, trust, or guardrails.
- Build something worthy of love
- We finish what we start and build trust by being people others can count on.
Requirements
- A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes.
- Experience with Postgres and high-volume, event-driven systems using queues or durable workflows such as BullMQ, Kafka, or Temporal.
- Experience with real-time systems, voice or telephony, LLM-powered products, or AI agents.
- Experience operating cloud-native services on AWS and Kubernetes/EKS.
Nice to have
- Strong hands-on experience with TypeScript/Node.js, Go, or a comparable backend stack, plus the ability to design clear APIs, services, and data models.
Compensation
- Real stake: We offer a competitive salary and excellent equity ownership
Benefits
- Real stake: We offer a competitive salary and excellent equity ownership
- Comprehensive health coverage: medical, dental, and vision plans
- Flexible time off: take what you need
- More: catered meals, transportation, gym, equipment, and a $10k annual L&D budgetMore: catered meals, transportation, gym, and a $10k annual L&D budget.
- Experience at a fast-growing startup, building a zero-to-one product, or founding a company.
Company info
- The fastest path to customer value usually wins. - Seek raw input - We go directly to customers, data, and teammates instead of relying on summaries or assumptions. - It's our problem - We operate as one team.
- We're hiring a backend product engineer to own those systems end to end and help customers move voice agents from a compelling demo to dependable production-at Fortune 500 scale. The work is genuinely hard and unusually fun.
- Experience building developer platforms, public APIs, SDKs, or dashboards used by technical customers.
- Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate.
- What We Offer:
This listing is sourced directly from Vapi's careers page and normalized into a canonical job model.