Role Overview
The Customer Success Engineer (Scaled) at Deepgram is a full-time, remote position based in the USA that manages adoption, retention, and expansion across a large, pooled portfolio of fast-growing accounts using a digital-first, one-to-many approach. This role is ideal for a technical professional who thrives on building scalable systems, troubleshooting APIs, and driving customer success without relying solely on traditional one-on-one meetings.
Key Responsibilities
Design and execute digital customer onboarding sequences, automated lifecycle touchpoints, in-app guidance, and self-serve resources to accelerate time-to-first-value.
Deliver hands-on technical guidance, including running demos, guiding API integrations and architecture decisions, and resolving L1/L2 issues for developer audiences.
Develop and maintain reusable enablement assets such as demo scripts, integration guides, sample code, evaluation kits, playbooks, and micro-videos.
Execute one-to-many programs like webinars, office hours, and education campaigns to drive product adoption and spot expansion opportunities.
Monitor account health, product usage, and churn-risk signals to trigger proactive data-driven outreach across the portfolio.
Identify and scope cross-sell, upsell, and multi-product expansion opportunities at scale while collaborating with Sales on higher-value deals.
Serve as the internal voice of the customer by translating digital interactions and usage data into feedback for the product roadmap and go-to-market strategy.
Track, analyze, and report portfolio-level KPIs including activation, adoption, usage, health, retention, and expansion.
Build automation, templates, and repeatable playbooks that eliminate manual tasks and create compounding leverage for the scaled segment.
Requirements
3 to 5+ years of experience in a technical, customer-facing role such as Customer Success Engineering, Sales Engineering, Solutions Engineering, Implementation, Technical Account Management, or Support Engineering within an API-driven, developer-first, or AI organization.
Strong fluency in APIs, developer workflows, and integration patterns to conduct demos and troubleshoot L1/L2 technical issues.
Proven experience serving a high volume of customers or building scaled, tech-touch programs like digital onboarding, one-to-many campaigns, webinars, or automated journeys.
Strong systems thinking and process orientation, demonstrated by previously built repeatable playbooks, templates, or automations.
Data-driven mindset with comfort using product usage and customer health data to prioritize and refine daily work.
Excellent written and verbal communication skills to educate and drive action across a broad audience.
High sense of ownership and the ability to work both collaboratively and independently in a remote environment.
Nice to Have
Experience in a scaled, digital, or tech-touch Customer Success motion or working with consumption-based business models.
Working fluency with automation, scripting, or agent-building using Python, TypeScript, workflow tools, and agent frameworks.
Familiarity with customer success, customer education, or marketing-automation platforms like Gainsight, Vitally, or ChurnZero, alongside product analytics tools.
Background in AI, machine learning, voice AI, cloud infrastructure, or developer-first technologies.
Previous experience combining technical customer-facing work with Customer Education, Scaled Success, or Customer Marketing.
Skills and Tools
APIs and developer workflows
Technical troubleshooting and demo delivery
Python and TypeScript (working fluency for automation and scripting)
Automated lifecycle and digital customer journey design
Product usage and customer health analytics
Salary and Benefits
Annual Salary: $147,000 to $176,500 USD
About the Company
Deepgram is the leading platform behind the Voice AI economy, offering real-time APIs for speech-to-text, text-to-speech, and production-grade voice agents at scale. More than 200,000 developers and 1,300 organizations utilize Deepgram's voice-native foundation models via cloud APIs or self-hosted software. Backed by a recent Series C funding round, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words.
How to Apply
Candidates should review all job details and submit their application directly on the official Deepgram careers page.
