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Senior Solutions Architect – Post-Sales
RudderStack. Partner with Customer Success Managers as the technical lead for a portfolio of EMEA accounts .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in customer data strategy, technical onboarding, and migration management while effectively communicating with customers to ensure their technical success. Proficient in modern web services and cloud infrastructure, with a strong focus on problem-solving and relationship building.
Highest-signal resume keywords
Customer Data StrategyTechnical OnboardingMigration ManagementCloud InfrastructureCustomer-Focused Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ETL ConceptsWeb DevelopmentMobile DevelopmentData PipelinesHigh Availability SystemsMessage Queuing PatternsImplementation PlansSDKsEvent StreamingIdentity Resolution
Soft Skills
Emotional IntelligenceProactiveOrganisedTrust BuildingEmpathy
Tools & Technologies
Amazon Web ServicesGoogle Cloud PlatformMicrosoft AzureSegmentMParticleGA4
Industry Keywords
Customer SuccessTechnical Account ManagementSolutions EngineeringData AnalyticsData Science
Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud Platform
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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