Deepgram

Billing & Analytics Software Engineer

Vaga remota de Engineering com fit claro de localização do candidato.

Publicada21 de abr. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeNível aberto

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Estados Unidos

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

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.

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.

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