Solutions Engineer at Vapi (San Francisco, CA)

Vapi· San Francisco, CA· $140k–$160k·5d ago

Role details

Salary

$140k–$160k

Work type

Hybrid

Employment

Full-Time

Equity

Yes

Commission

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!

Why We’re Hiring This Role:

Enterprise prospects need hands-on technical guidance to go from interest to a successful pilot to production.
Vapi’s API has 4,200 points of configuration, so enterprises can deploy even the most complex CX use cases. Solutions Engineers bring that to life during the sales cycle.
Solutions Engineers are the bridge between customers, Sales, and Product. What you learn in the field shapes what we build next.

What You’ll Do:

30 days: Ramp on Vapi’s architecture, build your own voice agents end-to-end, and learn how customers build with our APIs.
60 days: Lead technical discovery, scope integrations with telephony, CRM, and backend systems, and prototype voice agent solutions alongside AEs.
90 days: Own the technical side of strategic enterprise sales cycles and pilots end-to-end with AEs, from first demo through security review and production handoff.
Ongoing: Build reusable demos, reference architectures, and documentation. Bring customer feedback to Product and Engineering to influence the roadmap.

Who You Are:

3+ years in solutions engineering, sales engineering, forward deployed engineering, or a similar customer-facing technical role.
You’ve worked at a high-growth company somewhere between Series B and Series F.
You’re a world-class educator who can explain complex systems to engineers and executives alike.
You’re hands-on with code. You’re comfortable with REST APIs, webhooks, and scripting in Python or JavaScript, and you can build a working prototype quickly.
Experience with telephony, contact center platforms, or LLM-based applications is a strong plus.
You stay calm and resourceful when a live demo or pilot goes sideways.
Bonus: You’ve built your own startup.

Why Vapi:

What We Offer:

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.

One-liner: Vapi is a developer platform for building, deploying, and managing enterprise-grade voice AI agents.
Entity Type: Private (Series B, $72M total funding)
Headquarters: San Francisco, California, USA
Founded: 2023
Founders: Jordan Dearsley and Nikhil Gupta

Primary industry: Voice AI Infrastructure / Developer Tools
Target customers: B2B, primarily Large Enterprises (e.g., Amazon Ring, Intuit, New York Life) and a self-serve developer platform for SMBs.
Mission or purpose: To provide the infrastructure and orchestration layer for companies to build and deploy voice agents that deliver high-quality outcomes at scale.

[Vapi Platform]: An API-first platform that provides the core infrastructure for building, testing, and deploying voice AI agents. It handles speech-to-text, AI orchestration, and text-to-speech, with sub-500ms latency. It supports two main primitives:
- Assistants: Single-agent setups for specific tasks like customer support, lead qualification, and booking.
- Squads: Multi-agent orchestration for complex workflows with context-preserving transfers (e.g., medical triage, e-commerce routing).
[Vapi CLI]: A command-line tool that brings the full power of the Vapi platform to a developer's terminal for rapid iteration and deployment.

Valuation: ~$500 million (post-money, as of May 2026)
Key Metric: Annual recurring revenue (ARR) is in the "healthy" eight figures. Total funding is $72 million.
Notable Investors/Partners:
- Lead Series B: Peak XV Partners
- Other Investors: Microsoft's M12, Kleiner Perkins, Bessemer Venture Partners
- Key Customer: Amazon Ring, which routes 100% of its inbound calls through Vapi after evaluating over 40 competitors.
- Other Enterprise Customers: Kavak, Instawork, New York Life, UnityAI, Cherry, Intuit.
Growth Signals:
- Handled over 1 billion calls since launch, processing between 1 million and 5 million calls per day.
- Over 1 million developers have used the self-serve platform.
- More than 750,000 agents have been launched on the platform.
- Won Amazon Ring, a high-profile enterprise customer, in late 2024.
- Active job postings are growing (+20.8% quarterly).

Enterprise-Grade Infrastructure: Offers sub-500ms latency, built-in AI guardrails, SOC 2, HIPAA, and PCI compliance, single sign-on (SSO), OAuth2, and role-based access control (RBAC).
Developer-First, Then Enterprise: The platform was battle-tested at significant scale through its self-serve developer community before signing major enterprise clients, giving it a robustness that competitors lack.
Granular Control: Provides enterprises with deep control over the behavior, reliability, and compliance of their AI agents, which was a key factor in winning Amazon Ring's business.
Scalability: Proven to handle massive volume (billions of calls) with a 99.9% uptime SLA for enterprise clients.

Hiring for Scale: The company is actively expanding its engineering, infrastructure, and go-to-market teams to capitalize on its growth.
Deepening Enterprise Penetration: Following the win with Amazon Ring, Vapi is focused on onboarding more large, complex enterprises.
Infrastructure over Application: Vapi aims to differentiate by being the underlying orchestration and reliability layer for voice AI, rather than a pre-packaged application.

Sources