Post-Sales Solutions Architect

Responsibilities

• Customer Onboarding & Implementation
• Lead technical discovery sessions to understand customer data architecture, KPIs, and analytics goals.
• Design and document implementation plans, including data schema mapping, event tracking plans, and integration workflows.
• Guide customers through instrumentation and data ingestion.
• Partner with Customer Success Managers to ensure timelines, milestones, and success metrics are met.
• Technical Solution Design
• Translate business requirements into scalable analytics solutions using Kubit’s capabilities.
• Configure data pipelines, event taxonomies, and segmentation logic.
• Advise on best practices for data governance, event naming conventions, and data quality monitoring.
• Ongoing Support & Optimization
• Conduct solution audits to identify gaps, redundant tracking, or performance issues.
• Recommend advanced features (cohort analysis, funnels, retention metrics, A/B testing) based on customer maturity.
• Troubleshoot technical issues, liaising with product and engineering teams when needed.
• Strategic Advisory
• Educate customers on data warehouse fundamentals and best practices to ensure scalability and performance.
• Provide guidance on data model design, KPI measurement, and interpretation of analytics results.
• Serve as a trusted technical advisor to help customers expand their use of Kubit.

Required Skills & Experience

• Strong understanding of data analytics concepts: events, properties, funnels, cohorts, retention.
• Deep expertise with SQL and data warehouse architecture (Snowflake, BigQuery, Redshift).
• Proven ability to work with both technical and non-technical stakeholders.
• Excellent communication, presentation, and relationship-building skills.
• Experience in post-sales, solutions architecture, implementation consulting, or technical account management.
• Experience with product analytics data or large volume behavioral datasets preferred.
• Understanding of experimentation, A/B testing, and behavioral analytics.

Preferred Qualifications

• Bachelor’s degree in Engineering or a related technical field.
• Previous experience at a SaaS company in the analytics or martech space.
• Familiarity with customer data platforms (Segment, RudderStack) and data visualization tools (Tableau, Looker, Mode).

Benefits

• Work 100% remotely.
• Generous stock options and benefits (including medical/dental/vision, 401K and FSA)

Interested?

Please email your resume to recruiter@kubit.co.