Deepgram
Billing & Analytics Software Engineer
About this role
Deepgram seeks a Billing & Analytics Engineer to build and maintain the financial backbone systems that convert API usage into accurate invoices, customer-facing analytics, and revenue reporting. You'll own the complete billing pipeline from event ingestion through invoicing, while developing self-service customer interfaces and internal dashboards that support product-led growth.
What you'll do
- Design and operate usage event ingestion, validation, and processing pipelines with sub-second reliability and exactly-once semantics for billing accuracy
- Build aggregation layers that summarize raw usage events by customer, product, time window, and pricing dimension
- Integrate with usage-based billing platforms (M3ter, Metronome) to implement rating, plan management, and invoice generation
- Develop customer-facing billing dashboards and self-service flows within the Deepgram Console for usage visibility and plan management
- Manage API key, token, and entitlement systems that enforce feature access based on customer plans and billing status
- Create internal analytics pipelines and reconciliation systems that surface usage trends, revenue metrics, and detect billing anomalies
What they're looking for
- Event processing and stream processing systems at scale
- Distributed systems and exactly-once semantics
- Billing and metering system design
- Backend engineering and API development
- SQL and data analytics
- Salesforce and RevOps platform integrations
- System observability and monitoring
- AI tool proficiency and rapid adaptation
Benefits
- Remote work (USA)
- Opportunity to shape financial infrastructure for a high-growth AI platform
- Work on systems processing over 1 trillion words of data
- Collaborate with Finance, Product, and Growth teams on revenue strategy
- AI-first culture with encouragement to integrate cutting-edge tools into daily work
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Deepgram
Deepgram builds voice AI and speech processing technology, offering platforms that power real-time speech recognition and audio intelligence across cloud, edge, and embedded environments. The company is hiring applied ML engineers, backend engineers, embedded AI engineers, and customer-facing roles (customer success and pre-sales engineers) to scale its AI infrastructure and drive enterprise adoption.
- Website
- deepgram.com
Likely interview questions
- Walk us through how you would design a billing pipeline to handle usage events at scale while ensuring exactly-once semantics and sub-second reliability for accuracy.
- Describe your experience integrating with third-party billing platforms like Stripe, Chargebee, or similar. How did you handle edge cases like credits, overages, and mid-cycle plan changes?