EngineeringHybrid

Member of Technical Staff, Backend

Vapi · Hybrid

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Vapi's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: $200K - $325K
Location: San Francisco
Company website: www.daily.co

Hiring context

How this role compares at Vapi

Vapi has 35 live roles in MeritLog’s catalog across 8 job families, and 12 of them are in engineering. 34 of those listings publish a pay range, a disclosure rate of 97%.

This role's posted range of $200K - $325K sits above 94% of the 33 other Vapi roles quoted over the same currency and period.

Vapi concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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.

What they're asking for

A track record operating at senior or staff scope: independently owning customer-facing backend product areas from an ambiguous problem through measurable production outcomes.Skill
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.Skill
Experience building distributed or asynchronous systems with databases, queues, workflows, or event-driven patterns-and reasoning clearly about failure modes.Skill
Strong product judgment: you start with the user problem, turn incomplete requirements into a clear technical approach, and make tradeoffs based on customer impact.Skill
Production ownership: you care about testing, observability, reliability, incident response, safe rollouts, and what happens after launch.Skill
Regular, thoughtful use of AI-assisted development tools to improve speed and quality, paired with strong engineering judgment about the result.Skill
Self-direction, customer empathy, and clear communication. You stay hands-on, collaborate directly across functions, and remain accountable for outcomes.Skill
Experience with Postgres and high-volume, event-driven systems using queues or durable workflows such as BullMQ, Kafka, or Temporal.SkillPreferred
Experience with real-time systems, voice or telephony, LLM-powered products, or AI agents.SkillPreferred
Experience operating cloud-native services on AWS and Kubernetes/EKS.SkillPreferred
Experience building developer platforms, public APIs, SDKs, or dashboards used by technical customers.SkillPreferred
Experience at a fast-growing startup, building a zero-to-one product, or founding a company.SkillPreferred
Open-source contributions, public technical writing, or other evidence of craft beyond your day job.SkillPreferred
Build something worthy of loveSkillPreferred
Craft matters. We aim to build products and experiences customers genuinely love, not just tolerate.SkillPreferred
Commit and follow throughSkillPreferred
We finish what we start and build trust by being people others can count on.SkillPreferred
Why not today?SkillPreferred
We value urgency and momentum. The fastest path to customer value usually wins.SkillPreferred
Seek raw inputSkillPreferred
We go directly to customers, data, and teammates instead of relying on summaries or assumptions.SkillPreferred
It’s our problemSkillPreferred
We operate as one team. We share credit, own mistakes together, and support each other when things get hard.SkillPreferred
Be direct and kindSkillPreferred
We give feedback clearly, respectfully, and without delay.SkillPreferred
Generational impact: Build the human interface for every businessSkillPreferred
Ownership culture: Many of us are previous foundersSkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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! https://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.

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