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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI): Lead production-grade customer deployments from discovery through launch and adoption, building and debugging across APIs, integrations, identity, data, and customer environments with an accent on direct customer partnership and end-to-end ownership. Focus on solving complex system issues in real time, translating recurring customer needs into product improvements, and delivering reliable implementations under incomplete requirements and tight timelines.
Location: San Francisco or Remote (US); the role is marked as on-site
Salary: L4 Mid-level $180,000–$220,000 annually with equity; L5 Senior $220,000–$350,000 annually with equity
Company
Wispr Flow is an AI research and product company building voice interfaces for computing, including Flow and Notetaker.
What you will do
- Lead customer deployments from discovery through implementation, launch, and adoption.
- Build and debug solutions across APIs, integrations, identity, data, and customer environments.
- Partner with customer engineering, IT, security, and business teams to deliver production-grade deployments.
- Communicate clearly, solve problems in real time, and challenge requests that would not produce the right outcome.
- Turn recurring customer needs into product improvements, reusable integrations, and stronger playbooks.
Requirements
- Experience shipping production software directly with customers.
- Ability to work across the stack and investigate unexpected system behavior.
- Clear communication with both technical and business audiences.
- Ability to remain composed when requirements are incomplete or timelines are tight.
- Ownership of delivery through launch and adoption.
Nice to have
- Prior experience in voice, machine learning, or specific customer technology stacks is not required.
Culture & Benefits
- Employee-friendly equity terms, including extended exercise windows and a combination of ISOs and RSUs.
- Visa sponsorship is available for H1B, O1, EB1, L1, STEM OPT, and other cases where reasonable efforts can be made.
- Fair and accessible interview process with accommodations available upon request.
- Work focused on building trusted voice interfaces for everyday computing.
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