Billing & Analytics Software Engineer

About the role

As a Billing & Analytics Engineer on the Console & Analytics team, you will own the systems that turn Deepgram's raw API usage into accurate invoices, revenue-grade analytics, and the self-service billing experience our customers depend on. This is the financial backbone of a high-growth AI company: every dollar of revenue flows through the code you build and maintain. You will design and operate the full billing pipeline-from usage event ingestion and metering through aggregation, rating, invoicing, and integration with third-party billing and CRM platforms. You'll also own the analytics surfaces that give customers visibility into their consumption and give internal teams the data they need to operate the business. This role pulls billing and analytics engineering out of the broader Console team, creating a dedicated function that insulates and accelerates Deepgram's product-led growth (PLG) effort.

Responsibilities

• Usage Aggregation & Summarization: Build the aggregation layer that rolls raw usage events into usage summaries-by customer, product, time window, and pricing dimension. Optimize for query performance so that both real-time dashboards and end-of-period billing runs operate within SLA.
• CRM & RevOps Integration: Build and maintain integrations with Salesforce and RevOps tooling to synchronize customer accounts, contract terms, entitlements, and billing status. Partner with Finance and RevOps to ensure billing data supports revenue recognition, forecasting, and audit requirements.
• Analytics & Reporting: Build internal analytics pipelines and dashboards that surface usage trends, cohort behavior, conversion funnels, and revenue metrics to Product, Growth, and Finance teams. Instrument the billing system for operational observability-alerting on an

Additional Information

Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are 'Powered by Deepgram', including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram's voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. Company Operating Rhythm At Deepgram, we expect an AI-first mindset-AI use and comfort aren't optional, they're core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you're not excited to experiment, adapt, think on your feet, and learn constantly, or if you're seeking something highly prescriptive with a traditional 9-to-5.

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