Deepgram

Billing & Analytics Software Engineer

USA | Remote · Mid

Sponsorship not specifiedDetected 92 days ago

TypeScriptPythonNode.jsPostgreSQLMySQLKafkadbtData VisualizationComplianceSalesforceCRMForecastingCommunicationCollaborationMetabase

About the role

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.
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.
There is no organization in the world that understands voice better than Deepgram.

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.
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.
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.

5+ years of experience building and operating billing, payments, metering, or financial data systems in a SaaS or usage-based pricing environment.
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).

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.
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.
Life, STD, LTD Income Insurance Plans

A security-conscious mindset, especially around authentication, token management, and access control.

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.
Ensure events are captured with sub-second reliability at scale, with idempotency and exactly-once semantics to guarantee billing accuracy.
Ensure billing data reconciles cleanly with usage records and that edge cases (overages, credits, mid-cycle plan changes, enterprise commitments) are handled correctly.

This listing is sourced directly from Deepgram's careers page and normalized into a canonical job model.