Vapi

Member of Technical Staff, Backend at Vapi (San Francisco, CA)

Vapi· San Francisco, CA· $200k–$325k·

Role details

Salary
$200k–$325k
Work type
Hybrid
Employment
Full-Time
Equity
Yes

Job description

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! vapi.ai

WHY WE’RE HIRING THIS ROLE:

  • More than 1 million developers have built 2.7M+ agents on Vapi. Every assistant depends on a growing product surface—from Composer, Simulations, Monitoring, and Knowledge Base to Versioning and Deployments.
  • Behind those experiences are hard backend product problems: durable APIs and data models, real-time and asynchronous workflows, observability, evaluations, guardrails, and reliable operation of non-deterministic systems.
  • 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.

What You’ll Do:

  • 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; 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. Run the full improvement loop—authoring, evaluation, deployment, observation, and iteration—while improving reliability and developer experience. Be a core voice in product decisions and have multiple meaningful improvements in production.

Who You Are:

Must-haves

  • A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes.
  • 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.
  • Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns—and reasoning clearly about failure modes.
  • Strong product judgment: you start with the user problem, turn incomplete requirements into a clear technical approach, and make tradeoffs based on customer impact.
  • Production ownership: you care about testing, observability, reliability, incident response, safe rollouts, and what happens after launch.
  • Regular, thoughtful use of AI-assisted development tools to improve speed and quality, paired with strong engineering judgment about the result.
  • Self-direction, customer empathy, and clear communication. You stay hands-on, collaborate directly across functions, and remain accountable for outcomes.

Nice-to-haves

  • 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.
  • Experience building developer platforms, public APIs, SDKs, or dashboards used by technical customers.
  • Experience at a fast-growing startup, building a zero-to-one product, or founding a company.
  • Open-source contributions, public technical writing, or other evidence of craft beyond your day job.

How We Work:

  • Build something worthy of love
  • Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate.
  • Commit and follow through
  • We finish what we start and build trust by being people others can count on.
  • Why not today?
  • We value urgency and momentum. 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 share credit, own mistakes together, and support each other when things get hard.
  • Be direct and kind
  • We give feedback clearly, respectfully, and without delay.

Why Vapi:

  • Generational impact: Build the human interface for every business
  • Ownership culture: Many of us are previous founders
  • Kind team: The founders, Jordan and Nikhil, are Canadians
  • Tier-1 investors: Peak XV (Series B), Bessemer, Kleiner Perkins, M12, and Y Combinator

What We Offer:

  • Real stake: We offer a competitive salary and excellent equity ownership
  • Comprehensive health coverage: medical, dental, and vision plans
  • Team love: We love hanging out, and we do quarterly off-sites
  • 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.

Why work at Vapi

  • High-Impact, Fast-Growing: Vapi is at the center of the booming voice AI space, processing billions of calls and serving iconic companies like Amazon. Employees have a direct impact on a platform that is reshaping customer service.
  • Engineering Culture: The company is API-first and developer-centric, founded by engineers from the University of Waterloo and Y Combinator.
  • Remote/Hybrid Policy: The company appears to have a hybrid model, with roles listed in New York City (NYC) and likely San Francisco, but also offers a degree of flexibility.
  • Notable Perks/Culture: The company is still in a high-growth phase (around 100 employees), offering the opportunity to work on cutting-edge AI infrastructure with a strong focus on engineering excellence and deployment support. The team includes a "Forward Deployed" engineer role, indicating a culture of deep customer partnership.

Application questions