Senior Director, Solutions Engineering

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

🦅 Parrain de Visa H1B

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👻 Score fantôme 10%

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🗣️🇺🇸🇬🇧 Anglais requis

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Logo of Domino Data Lab

Domino Data Lab

201 - 500 employés

Fondée en 2013

🤖 Intelligence artificielle

🏢 Entreprise

☁️ SaaS

💰 Series F en 2022-06

Artificial Intelligence • Enterprise • SaaS

Domino Data Lab est une entreprise qui permet aux entreprises pilotées par l'IA de concevoir et de gérer l'intelligence artificielle à grande échelle grâce à sa plateforme Enterprise AI. La plateforme offre une expérience intégrée pour le développement de modèles, MLOps, la collaboration et la gouvernance, permettant aux entreprises mondiales d'innover dans divers secteurs. Domino soutient un meilleur développement médicinal, une agriculture productive et la création de produits compétitifs. Créée en 2013 et soutenue par des investisseurs renommés tels que Sequoia Capital et NVIDIA, Domino permet aux entreprises d'optimiser efficacement le déploiement de l'IA.

Description

• Own pre-sales as a function by setting and enforcing standards for opportunity qualification, POC scoping, and SE engagement • Push back on deals, scopes, or timelines that do not meet the required bar • Coach and develop the Solutions Engineering team with specific feedback on technical approach, deal strategy, and customer needs • Evaluate architecture, POC design, and technical claims for validity in AI/ML delivery • Partner with GVPs and account teams to shape the qualification, resourcing, and execution of $5M+ enterprise deals • Build the operating rhythm for pre-sales, including capacity allocation, opportunity prioritization, and recurring cadence • Recruit and build the pre-sales team as the organization scales • Assess deal quality and provide recommendations on opportunity value

🎯 Exigences

• 8+ years in enterprise, solution-selling pre-sales or sales engineering • Direct experience with complex $5M+ enterprise deals • Required experience building, coaching, and managing a technical or pre-sales team • Ability to define and enforce operational processes • Ability to engage credibly and assertively with GVPs and enterprise sellers • Technical fluency in AI/ML delivery, including architecture, POC design, and technical claims • Strong judgment in opportunity qualification, technical fit, and deal health • Comfortable with travel and heavy customer-facing time • East Coast location preferred • No vertical expertise required

🏖️ Avantages

• Travel and heavy customer-facing time • Environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company • Encouragement of applicants from all backgrounds, genders, ethnicities, abilities, and sexual orientations

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