计费与分析软件工程师
Billing & Analytics Software Engineer
## **公司简介**
Deepgram 是支撑新兴数千亿美元语音 AI 经济的领先平台，提供实时 API 用于语音转文本（STT）、文本转语音（TTS），并可大规模构建生产级语音代理。超过 20 万名开发者和 1,300 多家组织构建了“由 Deepgram 提供支持”的语音产品，包括 Twilio、Cloudflare、Sierra、Decagon、Vapi、Daily、Cresta、Granola 和 Jack in the Box。Deepgram 的语音原生基础模型通过云 API 或自托管及本地软件访问，具有无与伦比的准确性、低延迟和成本效率。由领先的全球投资者和战略合作伙伴主导的 C 轮融资支持，Deepgram 已处理超过 5 万年的音频，并转录了超过 1 万亿个单词。世界上没有哪家公司比 Deepgram 更了解语音。
## **公司运营节奏**
在 Deepgram，我们期望具备 AI 优先的思维模式——AI 的使用和熟悉不是可选的，而是我们运作、创新和衡量绩效的核心。
在 Deepgram 工作的每位团队成员都应积极使用和试验先进的 AI 工具，甚至将它们融入日常工作中。我们衡量 AI 应用的效果以实现成果，持续且富有创意地利用最新 AI 能力是这里成功的关键。候选人应能够快速采用新模型和新模式，将 AI 整合到工作流程中，并不断推动这些技术的边界。
此外，我们以 AI 的速度前进。变化迅速，你每天的工作也会随之快速演变。如果你对实验、适应、临场应变和不断学习不感兴趣，或者你寻求的是高度规范化的传统朝九晚五工作，那么这可能不是适合你的职位。
### **职位介绍**
作为 Console & Analytics 团队的 Billing & Analytics Engineer，你将负责将 Deepgram 的原始 API 使用数据转化为准确的账单、符合收入标准的分析，以及客户依赖的自助计费体验。这是高增长 AI 公司的财务支柱：每一美元的收入都通过你所构建和维护的代码流动。
你将设计和运营完整的计费流程——从使用事件的接收和计量，到聚合、定价、生成账单，以及与第三方计费和 CRM 平台的集成。你还将负责分析表面的开发和维护。
查看英文原文
## **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.
### **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.
### **What You’ll Do**
**Usage Metering & Event Processing:** Design, build, and maintain the pipeline that ingests, validates, and processes usage messages from Deepgram’s inference and voice agent services. Ensure events are captured with sub-second reliability at scale, with idempotency and exactly-once semantics to guarantee billing accuracy.
**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.
**Billing System Integration:** Own the integration with usage-based billing platforms (M3ter, Metronome, or equivalent). Implement rating, plan management, and invoice generation logic. Ensure billing data reconciles cleanly with usage records and that edge cases (overages, credits, mid-cycle plan changes, enterprise commitments) are handled correctly.
**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.
**Console Billing Experience:** Develop the customer-facing billing and usage views within the Deepgram Console. Build clear, actionable dashboards that show real-time and historical usage, current spend, billing history, and plan details. Design the self-service flows for plan upgrades, payment method management, and invoice retrieval.
**In-DC Access, Permissions & Token Management:** Own the billing-adjacent authorization surfaces: API key and token management, usage-based access controls, entitlement enforcement, and the permission model that gates feature access based on customer plan and billing status. Ensure these systems are secure, auditable, and performant.
**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 anomalies, reconciliation failures, and SLA breaches.
**Data Integrity & Reconciliation:** Implement automated reconciliation between usage events, aggregated summaries, billing records, and payment processor data. Build alerting and self-healing mechanisms to catch and resolve discrepancies before they impact customers or revenue reporting.
### **What We’re Looking For**
- 5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment.
- Strong backend engineering skills, preferably in Rust, and in at least one of: Python, TypeScript/Node.js, Go, or similar. Comfort working across the stack when needed.
- Deep experience with relational databases (PostgreSQL, MySQL) and data pipeline design—schema modeling, query optimization, and high-volume event processing.
- Hands-on experience integrating with billing or subscription platforms (e.g., Stripe, M3ter, Metronome, Chargebee, Zuora) and CRM systems (Salesforce).
- Understanding of usage-based pricing models, metering patterns, and the edge cases that come with them (proration, overages, commitments, credits, multi-currency).
- Experience building reconciliation and data integrity systems that ensure financial accuracy at scale.
- Strong communication skills—you can partner effectively with Finance, RevOps, Product, and Growth teams to translate business requirements into reliable systems.
- A security-conscious mindset, especially around authentication, token management, and access control.
### **Nice to Have**
- Experience with usage-based billing platforms (M3ter, Metronome) specifically, or building custom metering systems from scratch.
- Familiarity with product-led growth (PLG) patterns: self-serve signup, usage gating, upgrade flows, and conversion instrumentation.
- Experience with event-driven architectures (Kafka, SQS, Pub/Sub) for high-throughput usage event processing.
- Background in revenue operations, revenue recognition (ASC 606), or SOX-relevant billing controls.
- Experience with analytics/BI tooling (Looker, Metabase, dbt) and building internal data products.
- Prior work at a company where billing accuracy directly impacted customer trust and revenue at scale.
### **Why This Role Matters**
Deepgram’s growth is powered by a usage-based model where customers pay for what they consume. Every usage event, every invoice, every plan upgrade flows through the systems this role owns. As Billing & Analytics Engineer, you’ll ensure that Deepgram gets paid accurately and on time, that customers have full visibility into their consumption, and that internal teams have the financial data they need to scale the business. By creating a dedicated billing engineering function, this role directly enables the Console and PLG teams to move faster on product innovation without billing complexity as a bottleneck.
_**Notice**: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @_ [_deepgram.com_](http://deepgram.com) _email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com._