Senior Solutions Architect – Post-Sales

🕒 il y a 12 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟠 Senior

💻 Ingénieur Solutions

👻 Score fantôme 10%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.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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RudderStack

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2019

💼 Conseil

📣 Marketing

💰 €56 000 000 Series B en 2022-02

Consulting • Marketing • Data Infrastructure

RudderStack est une plateforme de données clients qui permet aux entreprises de combiner efficacement les données clients provenant de diverses sources. En capturant le parcours client, elle fournit des informations approfondies et alimente des expériences personnalisées. Avec un ensemble robuste d'intégrations, incluant plus de 200 SDKs, RudderStack assure une livraison et une gouvernance fiables des données. Elle accorde la priorité à la confidentialité des données et permet aux utilisateurs de contrôler leurs données clients, facilitant les transformations en temps réel et la conformité à travers les systèmes.

Description

• Partner with Customer Success Managers as the technical lead for a portfolio of EMEA accounts • Own customers' technical success from onboarding onward • Lead customer onboarding and ensure customers are set up properly and realize value quickly • Design and manage migration strategies from platforms such as Segment, mParticle, GA4, or in-house pipelines • Develop and guide customers through implementation plans • Serve as the primary contact for technical questions across SDKs, event streaming, warehouses, reverse ETL, and identity resolution • Run product training sessions tailored to each customer's team and use case • Identify gaps in platform usage and demonstrate relevant features that solve customer problems and add value • Advise customers on customer data strategy and architecture design • Gather customer feedback and share it with Product and Engineering teams to influence the roadmap • Develop subject matter expertise on the customer data landscape and RudderStack's role in it • Run occasional onsite customer sessions for relationship building, onboarding, and workshops • Act as an escalation point for technical incidents and work with Engineering and Support to resolve critical customer issues

🎯 Exigences

• 5+ years in a customer-facing technical role such as Solutions Engineer, Solutions Architect, Technical Account Manager, or Implementation/Professional Services Consultant • 8+ years of progressive professional experience supporting technical products • Proactive and self-driven • High emotional intelligence; able to build trust and handle difficult conversations calmly and empathetically • Ability to understand how technology works under the hood and pick up technical concepts quickly • Customer-focused problem-solving ability • Lifelong learner who enjoys acquiring and sharing knowledge • Organised, driven, and able to switch context quickly across multiple accounts • Strong understanding of modern web services, mobile apps, and cloud infrastructure such as Amazon Web Services, Google Cloud Platform, and Microsoft Azure • Professional experience in areas including web development, mobile development, device platforms and architectures, ETL concepts and workflows, high availability systems and business continuity, message queuing patterns, and pipeline design • Bonus: experience leading platform migrations or large-scale enterprise implementations • Bonus: experience building websites or mobile apps, or working with ETL or data pipelines • Bonus: experience in marketing or advertising and understanding technical customer-data challenges • Bonus: experience with data analytics, data science, AI, or machine learning

🏖️ Avantages

• Remote-first work arrangement • Occasional travel to customer sites, with a few trips per year • Opportunity to work with talented engineers and open-source technology • Professional learning and knowledge-sharing opportunities