Senior Sales Operations Engineer (Hybrid based in San Francisco)

Rippling People Center Inc.•San Francisco, CA

58d•Hybrid

About The Position

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. In this role, you'll own the 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 (across AE & SDR), and win hundreds of millions in pipeline. You'll partner closely with Sales Operations, Business Systems, Data Science, and Growth Engineering teams to improve system architecture and implement automation across the sales lifecycle - from lead routing and territory updates to forecasting and performance analytics. You'll also drive how AI is embedded into our operational stack, leveraging intelligent automation and data modeling to drive efficiency, accuracy, and speed in decision-making. This is a high-impact builder role for someone who thrives on solving complex operational problems through elegant technical design and who wants to help redefine how modern sales operations are engineered.

Requirements

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 (i.e., 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.), APIs, 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

Responsibilities

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 / 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
Take advantage of our treasure troves of structured & unstructured data to improve sales performance and help us 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
Own the design and implementation of scalable, reliable data pipelines between Salesforce, data warehouses, and downstream tools. You will be building + maintaining systems that need to scale across product suites, geographies, and that will stand the test of time.
Architect and maintain automation frameworks to streamline high-volume sales processes (i.e., 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