Solutions Engineer
Listed on 2026-02-03
-
Engineering
AI Engineer, Systems Engineer
Location
San Francisco
Employment TypeFull time
DepartmentGo-to-Market
Compensation- $160K – $200K
• Offers Equity
Vapi is building the future of voice‑native applications. Our platform equips companies with everything they need—telephony, real‑time streaming, deterministic fallbacks, HIPAA/SOC2 compliance, and an AI testing suite—to launch production‑grade voice agents fast. In just 18 months, more than 150,000 developers have signed up, with over 1,000 new developers joining every day. Our mission is to make voice humanity’s default interface again by capturing nuance, emotion, and context that text alone misses.
About the RoleAs the founding GTM Solutions Engineer, you’ll partner with Enterprise and Mid‑Market Account Executives to accelerate technical validation, solution design, and production launches of voice agents built on Vapi. You’ll own both pre‑sales discovery and post‑sales implementation, ensuring customers achieve time‑to‑value in weeks, not months, while serving as the technical face of Vapi in the field.
Responsibilities- Collaborate with Account Executives to drive adoption among Vapi’s most strategic customers, bringing Voice
AI to production and driving business outcomes. - Own technical and business scoping, kick‑off, implementation, project planning, and vision with key stakeholders.
- Lead project and customer interactions, ensuring successful delivery and customer satisfaction.
- Work closely with forward‑deployed engineering to ensure seamless project execution.
- Capture field feedback and collaborate with product to influence the roadmap and improve developer experience.
- 3–7 years in solutions/sales engineering or solution architecture at a B2B SaaS company.
- Strong business acumen and commercial awareness with excellent communication and project‑management skills.
- Proven ability to navigate fast‑paced environments and multiple stakeholders.
- Hands‑on experience with modern web stacks (Type Script/Node, REST/Graph
QL), cloud platforms, and ideally telephony or WebRTC. - Nice‑to‑have: consulting background (McKinsey, Bain, BCG), CS/Engineering degree, or prior work with AI/voice technologies
- Competitive base salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible PTO (“take what you need” vacation policy).
- Downtown San Francisco office with optional hybrid schedule.
- Accelerated career growth as we scale the category‑defining voice‑AI platform.
Compensation Range: $160K - $200K
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