
51 - 200 employés
Fondée en 2015
🤖 Intelligence artificielle
☁️ SaaS
🔌 API
💰 €47 000 000 Series B en 2022-11
Artificial Intelligence • SaaS • API
Deepgram est un leader de l’IA vocale qui propose des API puissantes pour des applications de speech-to-text, text-to-speech et de compréhension du langage. Sa plateforme permet aux développeurs de créer des solutions d’IA vocale avancées pour des cas d’usage tels que les centres de contact, la transcription médicale, l’IA conversationnelle, et plus encore. Réputée pour une précision, une rapidité et un rapport coût-efficacité inégalés, la technologie de Deepgram est plébiscitée par les plus grandes entreprises comme par les start-ups du monde entier. En offrant des capacités de transcription en temps réel et hautement précises, Deepgram aide les organisations à extraire des insights de leurs données vocales, en en faisant un outil essentiel pour transformer les interactions vocales.
🕒 il y a 1 mois
🇺🇸 États-Unis – Télétravail
💵 $180 000 - $245 000 / an
⏰ Temps Plein
🟡 Intermédiaire
🟠 Senior
🧑💻 Développeur Full-Stack
🦅 Parrain de Visa H1B
🗣️🇺🇸🇬🇧 Anglais requis
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51 - 200 employés
Fondée en 2015
🤖 Intelligence artificielle
☁️ SaaS
🔌 API
💰 €47 000 000 Series B en 2022-11
Artificial Intelligence • SaaS • API
Deepgram est un leader de l’IA vocale qui propose des API puissantes pour des applications de speech-to-text, text-to-speech et de compréhension du langage. Sa plateforme permet aux développeurs de créer des solutions d’IA vocale avancées pour des cas d’usage tels que les centres de contact, la transcription médicale, l’IA conversationnelle, et plus encore. Réputée pour une précision, une rapidité et un rapport coût-efficacité inégalés, la technologie de Deepgram est plébiscitée par les plus grandes entreprises comme par les start-ups du monde entier. En offrant des capacités de transcription en temps réel et hautement précises, Deepgram aide les organisations à extraire des insights de leurs données vocales, en en faisant un outil essentiel pour transformer les interactions vocales.
• 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. • 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. • 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. • 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. • 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. • 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. • 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. • 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.
• 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 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.
• Medical, dental, vision benefits • Annual wellness stipend • Mental health support • Life, STD, LTD Income Insurance Plans • Unlimited PTO • Generous paid parental leave • Flexible schedule • 12 Paid US company holidays • Quarterly personal productivity stipend • One-time stipend for home office upgrades • 401(k) plan with company match • Tax Savings Programs • Learning / Education stipend • Participation in talks and conferences • Employee Resource Groups • AI enablement workshops / sessions
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