Rippling
Senior Sales Operations Engineer (Hybrid based in San Francisco)
Rippling, San Francisco, California, United States, 94199
Senior Sales Operations Engineer (Hybrid based in San Francisco)
Join to apply for the
Senior Sales Operations Engineer (Hybrid based in San Francisco)
role at
Rippling
Location: San Francisco, CA. You will be required to work in the office 3x/week.
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Rippling is based in San Francisco, CA and has raised $1.4B+ from the world's top investors. It was named one of America's best startup employers by Forbes.
About The Role We’re looking for a technically curious, systems-oriented Sales Operations Engineer to join our Revenue Operations organization, with a focus on building the infrastructure and automation that power our global sales organization. You’ll own end-to-end technical execution of Revenue Operations initiatives – architecting data pipelines, building internal tools, and embedding AI-driven automation into critical workflows across the sales lifecycle. Your work will impact hundreds of sellers and win hundreds of millions in pipeline.
What You Will Do Automation & AI Integration
Lead the identification and implementation of AI-powered automation opportunities across sales workflows.
Partner closely with GTM teams; embed with Sales & Marketing to translate business challenges into technical solutions, spot opportunities, and ship improvements.
Find parts of SDR and AE workflows that you can automate or level up to save time and improve outcomes.
Build, test, and deploy intelligent automation models or scripts that improve efficiency, accuracy, and visibility.
Collaborate with Revenue Operations and Sales leadership to embed automation into core operating rhythms.
Document and maintain standards for data governance and automation best practices.
Data Infrastructure & Analysis
Take advantage of our structured & unstructured data to improve sales performance and learn more about our customers.
Develop SQL queries, data models, and APIs that power operational reporting, dashboards, and workflows.
Ensure data integrity across Salesforce and analytics environments, helping to standardize GTM metrics and data definitions.
Partner with Sales Strategy & Operations to translate business needs into scalable technical solutions and workflows.
System Design & Architecture
Own the design and implementation of scalable, reliable data pipelines between Salesforce, data warehouses, and downstream tools.
Architect and maintain automation frameworks to streamline high-volume sales processes (e.g., lead routing, territory refreshes, forecasting data feeds).
Partner with Business Systems and Growth Engineering to ensure GTM architecture supports cross-functional needs across Sales, Marketing, and Account Management.
What You Will Need
7+ years of experience in Sales Operations, Data Engineering, GTM Engineering, or a technical role at a high-growth B2B SaaS company.
Strong proficiency in SQL and experience building data pipelines or ETL processes using modern tools (Snowflake, Databricks, dbt).
Advanced understanding of Salesforce architecture and GTM tech stacks.
Experience with Python or another scripting language for workflow automation and API integration.
Familiarity with AI and machine learning applications in Sales or Revenue Operations contexts.
Fluency in GTM tools (Clay, Salesforce/Hubspot, Outreach/Apollo, Demandbase/6sense, etc.) and automation platforms (Zapier, Workato, n8n).
Demonstrated ability to translate business needs into scalable technical designs.
Commercial orientation; you understand sales and marketing motions and can tie technical work to revenue outcomes.
Excellent communication and stakeholder management skills; capable of working cross-functionally within Sales, Data, and Systems teams.
Additional Information Rippling is an equal‑opportunity employer. We embrace diversity and are committed to building an inclusive workforce. We do not discriminate on the basis of protected characteristics and provide reasonable accommodations for candidates with disabilities.
Rippling highly values having employees working in‑office, at least three days a week under current policy.
This role will receive a competitive salary + benefits + equity.
The pay range for this role US Tier 1: $117,000 – $204,750 per year.
#J-18808-Ljbffr
Senior Sales Operations Engineer (Hybrid based in San Francisco)
role at
Rippling
Location: San Francisco, CA. You will be required to work in the office 3x/week.
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Rippling is based in San Francisco, CA and has raised $1.4B+ from the world's top investors. It was named one of America's best startup employers by Forbes.
About The Role We’re looking for a technically curious, systems-oriented Sales Operations Engineer to join our Revenue Operations organization, with a focus on building the infrastructure and automation that power our global sales organization. You’ll own end-to-end technical execution of Revenue Operations initiatives – architecting data pipelines, building internal tools, and embedding AI-driven automation into critical workflows across the sales lifecycle. Your work will impact hundreds of sellers and win hundreds of millions in pipeline.
What You Will Do Automation & AI Integration
Lead the identification and implementation of AI-powered automation opportunities across sales workflows.
Partner closely with GTM teams; embed with Sales & Marketing to translate business challenges into technical solutions, spot opportunities, and ship improvements.
Find parts of SDR and AE workflows that you can automate or level up to save time and improve outcomes.
Build, test, and deploy intelligent automation models or scripts that improve efficiency, accuracy, and visibility.
Collaborate with Revenue Operations and Sales leadership to embed automation into core operating rhythms.
Document and maintain standards for data governance and automation best practices.
Data Infrastructure & Analysis
Take advantage of our structured & unstructured data to improve sales performance and learn more about our customers.
Develop SQL queries, data models, and APIs that power operational reporting, dashboards, and workflows.
Ensure data integrity across Salesforce and analytics environments, helping to standardize GTM metrics and data definitions.
Partner with Sales Strategy & Operations to translate business needs into scalable technical solutions and workflows.
System Design & Architecture
Own the design and implementation of scalable, reliable data pipelines between Salesforce, data warehouses, and downstream tools.
Architect and maintain automation frameworks to streamline high-volume sales processes (e.g., lead routing, territory refreshes, forecasting data feeds).
Partner with Business Systems and Growth Engineering to ensure GTM architecture supports cross-functional needs across Sales, Marketing, and Account Management.
What You Will Need
7+ years of experience in Sales Operations, Data Engineering, GTM Engineering, or a technical role at a high-growth B2B SaaS company.
Strong proficiency in SQL and experience building data pipelines or ETL processes using modern tools (Snowflake, Databricks, dbt).
Advanced understanding of Salesforce architecture and GTM tech stacks.
Experience with Python or another scripting language for workflow automation and API integration.
Familiarity with AI and machine learning applications in Sales or Revenue Operations contexts.
Fluency in GTM tools (Clay, Salesforce/Hubspot, Outreach/Apollo, Demandbase/6sense, etc.) and automation platforms (Zapier, Workato, n8n).
Demonstrated ability to translate business needs into scalable technical designs.
Commercial orientation; you understand sales and marketing motions and can tie technical work to revenue outcomes.
Excellent communication and stakeholder management skills; capable of working cross-functionally within Sales, Data, and Systems teams.
Additional Information Rippling is an equal‑opportunity employer. We embrace diversity and are committed to building an inclusive workforce. We do not discriminate on the basis of protected characteristics and provide reasonable accommodations for candidates with disabilities.
Rippling highly values having employees working in‑office, at least three days a week under current policy.
This role will receive a competitive salary + benefits + equity.
The pay range for this role US Tier 1: $117,000 – $204,750 per year.
#J-18808-Ljbffr