Director, GTM Engineering

🕒 vor 9 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $200.000 - $245.000 / Jahr

⏰ Vollzeit

🔴 Experte

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 18%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Deepgram

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

Gegründet 2015

💼 Beratung

🏥 Gesundheitswesen

📦 Logistik

💰 €47.000.000 Series B im 2022-11

Consulting • Healthcare • Logistics

Deepgram ist ein führendes Voice-AI-Unternehmen, das leistungsstarke APIs für Speech-to-Text, Text-to-Speech und Language-Understanding-Anwendungen bereitstellt. Die Plattform ermöglicht es Entwicklerinnen und Entwicklern, anspruchsvolle Voice-AI-Lösungen für Use Cases wie Contact Center, medizinische Transkription, Conversational AI und mehr zu entwickeln. Bekannt für unübertroffene Genauigkeit, Geschwindigkeit und Kosteneffizienz genießt die Technologie von Deepgram das Vertrauen führender Unternehmen und Start-ups weltweit. Mit Echtzeit- und hochgenauer Transkription hilft Deepgram Unternehmen, Erkenntnisse aus Sprachdaten zu gewinnen – ein unverzichtbares Werkzeug, um Sprachinteraktionen zu transformieren.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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