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Описание вакансии
Текст:
TL;DR
Customer Success Engineer (AI): Building scalable customer success systems for Deepgram's voice AI APIs with an accent on technical integrations, automated customer journeys, and one-to-many enablement. Focus on designing reusable workflows, troubleshooting API and architecture issues, and using customer data to drive adoption, retention, and expansion across a pooled portfolio.
Location: USA, remote
Salary: $147,000–$176,500 base annually outside NYC, Seattle, and San Francisco; $190,500–$228,500 base annually in NYC, Seattle, and San Francisco. Equity, bonus, and 10% variable pay may also be offered.
Company
Deepgram provides real-time voice AI APIs for speech-to-text, text-to-speech, and production voice agents through cloud, self-hosted, and on-premises offerings.
What you will do
- Own adoption, retention, and expansion across a large pooled portfolio of scaled-segment customers.
- Design digital onboarding, automated lifecycle touchpoints, in-app guidance, and self-service resources.
- Provide technical guidance through demos, API integration support, architecture guidance, and L1/L2 troubleshooting.
- Build reusable enablement assets, including integration guides, sample code, evaluation kits, playbooks, and micro-videos.
- Run webinars, office hours, and education campaigns while monitoring usage, account health, churn risk, and expansion signals.
- Build systems and automations that reduce recurring manual work and report portfolio-level activation, adoption, retention, and expansion KPIs.
Requirements
- 3–5+ years in a technical, customer-facing role such as Customer Success Engineering, Sales Engineering, Solutions Engineering, Implementation, Technical Account Management, or Support Engineering.
- Fluency with APIs, developer workflows, and integration patterns, with credibility in technical conversations with developers.
- Experience serving a high volume of customers or building scaled, digital, or tech-touch customer success programs.
- Experience creating repeatable playbooks, templates, automations, or other systems that work across many customers.
- Data-driven approach with strong written and verbal communication skills.
- Ability to work effectively in a remote environment and demonstrate ownership independently and collaboratively.
Nice to have
- Working fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, or agent frameworks.
- Experience with Gainsight, Vitally, ChurnZero, customer education platforms, marketing automation, or product analytics tools.
- Experience in AI, ML, voice AI, cloud infrastructure, or developer-first technologies.
- Background in Customer Education, Scaled/Digital Success, or Customer Marketing.
Culture & Benefits
- AI-first working environment where employees are expected to actively use and experiment with advanced AI tools.
- Fast-changing environment requiring continuous learning, adaptability, and experimentation.
- Remote work environment with a digital-first customer success model.
- Equity, bonus, and 10% variable pay may be offered.
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