Director, GTM Engineering

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $200 000 - $245 000 / an

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 18%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Deepgram

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

💼 Conseil

🏥 Santé

📦 Logistique

💰 €47 000 000 Series B en 2022-11

Consulting • Healthcare • Logistics

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.

Description

• Own the GTM technology ecosystem across CRM, CPQ, forecasting tooling, data infrastructure, integrations, automation, and internal tooling • Serve as technical product leader for GTM systems and Engineering’s primary GTM counterpart • Translate business problems into clear requirements, roadmap priorities, and scalable solutions • Establish engineering standards for GTM systems and automation, including security, governance, testing, observability, access controls, documentation, and safe production deployment • Build AI-native workflows and internal tools to reduce manual work and improve pipeline management, forecasting, deal execution, renewals, reporting, and decision-making • Design simple, auditable, secure-first automation and determine where deterministic automation, AI, or human judgment is appropriate • Build systems and data foundations connecting pipeline, bookings, contracts, product usage, customer activity, renewals, and expansion • Partner with the Head of Data Intelligence on shared, governed GTM data foundations, models, metadata, definitions, and trusted sources • Own technical infrastructure for forecasting and GTM execution, including CRM workflows, data quality, reporting, routing, territory, quota, commission, and capacity plans • Lead GTM partnership on usage, metering, and billing, including requirements, build-versus-buy decisions, and systems connecting usage, pricing, contracts, billing, and revenue • Lead the GTM Engineering function as a player-coach and develop a small team

🎯 Exigences

• Experience building and leading GTM Engineering, RevOps, Sales Ops, Business Systems, or a similar technical GTM function • Professional software engineering experience, including writing, reviewing, debugging, and maintaining production-quality code independently of AI-assisted development tools • Track record of personally designing, coding, testing, and shipping production systems, integrations, automations, agents, or internal tools • Strong understanding of software architecture, APIs, security, governance, testing, observability, access controls, and production engineering practices • Deep hands-on experience with CRM, CPQ, APIs, integrations, workflow automation, and commercial data • Experience building AI-powered workflows that replace or materially reduce manual work • Strong product instincts and ability to turn ambiguous business problems into buildable solutions • Technical credibility with Product and Engineering and strong communication with GTM leaders • Experience partnering with Data or Analytics Engineering teams on data modeling, governance, metadata, and shared data infrastructure • Strong understanding of pipeline, forecasting, quote-to-cash, and customer lifecycle data • Comfortable operating as a hands-on player-coach with a small team • Experience with usage-based or consumption-based businesses, especially metering and billing infrastructure, preferred • Experience with Salesforce, CPQ/billing platforms, SQL, and GTM data pipelines preferred • Experience with AI-assisted development tools such as Claude Code and Cursor, and automation platforms such as n8n, Workato, or Retool preferred • Experience scaling GTM systems through rapid growth or multi-product expansion preferred

🏖️ Avantages

• Base salary range determined by work location and job-related skills and experience • Benefits • Bonus and equity are part of overall compensation but excluded from the listed base salary

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