Klaviyo Inc.
Manager, Advanced Analytics & Automation
Klaviyo Inc., Denver, Colorado, United States, 80285
Role Summary
Klaviyo is seeking a
Manager of Advanced Analytics & Automation
to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.
You will operate as a
senior technical individual contributor with program-level ownership , combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.
What You’ll Do
Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders
What We’re Looking For
5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
Strong hands‑on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
Experience operating as a technical program manager for analytics or data initiatives
Strong communication skills and comfort partnering with senior, non‑technical stakeholders
High standards for analytical rigor, QA, documentation, and system reliability
You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
#LI-Abbey
#LI-hybrid
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here.
#J-18808-Ljbffr
Manager of Advanced Analytics & Automation
to lead strategic analytics programs and AI first automations for our Customer Success Strategy and Analytics team. This role owns the development of scalable customer intelligence systems, and spans customer cohorting, health and success signals, churn and expansion drivers, and AI-powered workflows that translate insight into action.
You will operate as a
senior technical individual contributor with program-level ownership , combining advanced data analytics and applied AI in partnership to build durable tools and processes used across GTM. This role is ideal for someone who can architect, build, QA, and operationalize advanced analytics and insights projects end-to-end while partnering deeply across Product, Ops, and Data teams.
What You’ll Do
Own Customer Success Intelligence & Advanced Analytics & Insights, design Production-Grade Data Models & Analytics Pipelines, and champion AI Tooling, Automation & Workflow Orchestration
Build and maintain customer cohorting, segmentation, and benchmarking frameworks, in collaboration with our Product Data Science team, that captures meaningful differences in Customer behavior, maturity, and value
Define and evolve customer health, adoption, and success scoring and signals, including leading indicators of churn and expansion
Design and scale advanced analytics projects and models, including cohort analysis, statistical inference, and impact measurement systems, that connect product usage and engagement to customer retention outcomes
Act as a technical program owner for complex analytics initiatives, driving roadmap definition, sequencing workstreams, coordinating dependencies, and delivering outcomes
Create advanced SQL and Python outputs that power customer insights, forecasting inputs, and operational reporting, using GitHub for version control and change management, and applying strong data modeling and governance practices
Partner closely with Data Engineering, CS OPs, Data Science and Product Analytics, to deliver strategic analytical tools and insights that inform GTM priorities, roadmap decisions, and customer strategy, and collaborate to deliver prototype AI-assisted tools that provide GTM teams real time actionable insights into customer behavior
Design and deploy workflow automations using n8n, Airflow or other AI tools, and establish integrated AI driven alerts that surface real-time customer risk and opportunity
Lead initiatives end-to-end: problem framing, design, build, QA, documentation, rollout, and iteration
Maintain a high bar for execution quality, accuracy, reliability, and long-term scalability
Translate complex technical outputs into clear, actionable narratives for senior business and GTM stakeholders
What We’re Looking For
5+ years of experience in advanced analytics, technical analytics or data analytics (SaaS strongly preferred)
Advanced proficiency in SQL and GitHub, with experience owning complex analytical data models
Strong hands‑on experience with Python and/or R, including statistical inference, cohort analysis, and advanced research
Tableau Developer–level fluency, with solid understanding of dashboard logic, metrics, and database structures
Confident using AI tooling (e.g., Cursor, Glean, Codex, GitHub AI etc.) to accelerate development, and familiarity with workflow automation platforms (n8n, Airflow, DBT); experience with LangChain a plus
Demonstrated ability to build and operationalize analytics and AI workflows used by CS, Sales, or GTM teams
Experience operating as a technical program manager for analytics or data initiatives
Strong communication skills and comfort partnering with senior, non‑technical stakeholders
High standards for analytical rigor, QA, documentation, and system reliability
You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
#LI-Abbey
#LI-hybrid
We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.
Please see the independent bias audit report covering our use of Covey here.
#J-18808-Ljbffr